https://community.wolfram.com RSS Feed for Wolfram Community showing ideas from all groups sorted by most likes. https://community.wolfram.com/groups/-/m/t/2593151 **Introducing our brand new YouTube channel, [Wolfram R&D][1]! Our channel features livestreams, behind-the-scenes creator presentations, insider videos, and more.** ---------- Join us for the unique Wolfram R&D livestreams on [Twitch][2] and [YouTube][3] led by our developers! You will see **LIVE** stream indicators on these channels on the dates listed below. The live streams provide tutorials and behind the scenes look at Mathematica and the Wolfram Language directly from developers. Join our livestreams every Wednesday at 11 AM CST and interact with developers who work on data science, machine learning, image processing, visualization, geometry, and other areas. ---------- ⭕ **UPCOMING** EVENTS - Jan 29 -- Reinforcement Learning Applied to Feedback Control with [Suba Thomas][61] ---------- ✅ **PAST** EVENTS - April 24 -- [FeynCalc][60] - April 3 -- [Explore the Total Solar Eclipse of April 2024][59] - Mar 22 -- [20 Years of xAct Tensor Computer Algebra][58] - Feb 28 -- [Zero Knowledge Authentication][57] - Jan 17 -- [Nutrients by the Numbers][56] - Dec 13 -- [Understanding Graphics][55] - Oct 18 -- [Overview of Number Theory][54] - Sep 27 -- [QMRITools: Processing Quantitative MRI Data][52] - Sep 13 -- [Make High Quality Graph Visualization][51] - Sep 6 -- [Insider's View of Graphs & Networks][53] - Aug 30 -- [Labeling Everywhere][49] - Aug 22 -- [Equation Generator for Equation-of-Motion Coupled Cluster Assisted by CAS][48] - Aug 16 -- [Foreign Function Interface][4] - July 26 -- [Modeling Fluid Circuits][6] - July 19 -- [Geocomputation][5] - July 5 -- [Protein Visualization][7] - Jun 14 -- [Chat Notebooks bring the power of Notebooks to LLMs][8] - May 31-- [Probability and Statistics: Random Sampling][9] - May 24 -- [Problem Solving][10] - May 17 -- [The state of Optimization][11] - May 10 -- [Building a video game with Wolfram notebooks][12] - April 26 -- [Control Systems: An Overview][13] - April 19 -- [MaXrd: A crystallography package developed for research support][14] - April 5th -- [Relational database in the Wolfram Language][15] - Mar 29th -- [Build your first game in the Wolfram Language with Unity game engine] [16] - Mar 22nd -- [Everything to know about Mellin-Barnes Integrals - Part II][17] - Mar 15th -- [Building your own Shakespearean GPT - a ChatGPT like GPT model][18] - Mar 8th -- [Understand Time, Date and Calendars][19] - Mar 1st -- [Introducing Astro Computation][20] - Feb 22nd -- [Latest features in System Modeler][21] - Feb 15th -- [Everything to know about Mellin-Barnes Integrals][22] - Feb 8th -- [Dive into Video Processing][23] - Feb 1st -- [PDE Modeling][24] - Jan. 25th -- [Ask Integration Questions to Oleg Marichev][25] - Jan. 18th -- [My Developer Tools][26] - Jan. 11th -- [Principles of Dynamic Interfaces][27] - Dec. 14th -- [Wolfram Resource System: Repositories & Archives][28] - Dec. 7th -- [Inner Workings of ImageStitch: Image Registration, Projection and Blending][29] - Nov. 30th -- [Q&A for Calculus and Algebra][30] - Nov. 23rd -- [xAct: Efficient Tensor Computer Algebra][31] - Nov. 16th -- [Latest in Machine Learning][32] - Nov. 9th -- [Computational Geology][33] - Nov. 2nd -- [Behind the Scenes at the Wolfram Technology Conference 2022][34] - Oct 26th -- [Group Theory Package (GTPack) and Symmetry Principles in Condensed Matter][35] - Oct 12th -- [Tree Representation for XML, JSON and Symbolic Expressions][36] - Oct. 5th -- [A Computational Exploration of Alcoholic Beverages][37] - Sept. 28th -- [Q&A with Visualization & Graphics Developers][38] - Sept. 14th -- [Paclet Development][39] - Sept. 7th -- [Overview of Chemistry][40] - Aug. 24th -- [Dive into Visualization][41] - Aug. 17th -- [Latest in Graphics & Shaders][42] - Aug. 10th -- [What's new in Calculus & Algebra][43] > **What are your interests? Leave a comment here on this post to share your favorite topic suggestions for our livestreams.** **Follow us on our live broadcasting channels [Twitch][44] and [YouTube][45] and for the up-to-date announcements on our social media: [Facebook][46] and [Twitter][47].** [1]: https://wolfr.am/1eatWLcDA [2]: https://www.twitch.tv/wolfram [3]: https://wolfr.am/1eatWLcDA [4]: https://www.youtube.com/watch?v=C82NHpy7D6k [5]: https://community.wolfram.com/groups/-/m/t/2985580 [6]: https://community.wolfram.com/groups/-/m/t/2982197 [7]: https://community.wolfram.com/groups/-/m/t/2982114 [8]: https://youtu.be/ZqawtrWwE0c [9]: https://community.wolfram.com/groups/-/m/t/2946101 [10]: https://community.wolfram.com/groups/-/m/t/2925156 [11]: https://community.wolfram.com/groups/-/m/t/2921756 [12]: https://community.wolfram.com/groups/-/m/t/2918746 [13]: https://community.wolfram.com/groups/-/m/t/2917597 [14]: https://community.wolfram.com/groups/-/m/t/2911327 [15]: https://community.wolfram.com/groups/-/m/t/2907390 [16]: https://community.wolfram.com/groups/-/m/t/2921593 [17]: https://community.wolfram.com/groups/-/m/t/2861119 [18]: https://community.wolfram.com/groups/-/m/t/2847286 [19]: https://community.wolfram.com/groups/-/m/t/2851575 [20]: https://community.wolfram.com/groups/-/m/t/2852934 [21]: https://community.wolfram.com/groups/-/m/t/2842136 [22]: https://community.wolfram.com/groups/-/m/t/2838335 [23]: https://community.wolfram.com/groups/-/m/t/2827166 [24]: https://community.wolfram.com/groups/-/m/t/2823264 [25]: https://community.wolfram.com/groups/-/m/t/2821053 [26]: https://youtu.be/istKGqpDUsw [27]: https://community.wolfram.com/groups/-/m/t/2777853 [28]: https://youtu.be/roCkXVkDuLA [29]: https://youtu.be/pYHAz-NatXI [30]: https://youtu.be/r7Hjdr_D7c4 [31]: https://community.wolfram.com/groups/-/m/t/2713818 [32]: https://community.wolfram.com/groups/-/m/t/2705779 [33]: https://community.wolfram.com/groups/-/m/t/2701172 [34]: https://youtu.be/UrM-OBu3H9o [35]: https://community.wolfram.com/groups/-/m/t/2678940 [36]: https://community.wolfram.com/groups/-/m/t/2649407 [37]: https://community.wolfram.com/groups/-/m/t/2635049 [38]: https://community.wolfram.com/groups/-/m/t/2618033 [39]: https://community.wolfram.com/groups/-/m/t/2616863 [40]: https://community.wolfram.com/groups/-/m/t/2613617 [41]: https://community.wolfram.com/groups/-/m/t/2605432 [42]: https://community.wolfram.com/groups/-/m/t/2600997 [43]: https://community.wolfram.com/groups/-/m/t/2596451 [44]: https://www.twitch.tv/wolfram [45]: https://wolfr.am/1eatWLcDA [46]: https://www.facebook.com/wolframresearch [47]: https://twitter.com/WolframResearch [48]: https://www.youtube.com/live/ElP55ZILxPw?si=nsAPOQ3u-RbvuGKX [49]: https://community.wolfram.com/groups/-/m/t/3007543 [50]: https://community.wolfram.com/web/charlesp [51]: https://community.wolfram.com/groups/-/m/t/3019288 [52]: https://www.youtube.com/live/KM1yWHRrF2k?si=g2R7rHB2IinVRpo6 [53]: https://community.wolfram.com/groups/-/m/t/3009184 [54]: https://community.wolfram.com/groups/-/m/t/3064700 [55]: https://community.wolfram.com/groups/-/m/t/3084291 [56]: https://community.wolfram.com/groups/-/m/t/3104670 [57]: https://community.wolfram.com/groups/-/m/t/3164204 [58]: https://youtube.com/playlist?list=PLdIcYTEZ4S8TSEk7YmJMvyECtF-KA1SQ2&si=paXZHs0ZzGdB7y1y [59]: https://youtube.com/playlist?list=PLdIcYTEZ4S8RyjEB7JSAsGerbYHl5xXeJ&si=xkNtkIDvKHFWHVmD [60]: https://youtu.be/KUWK19Gx2LE?si=qbKISbL8FtvweSWo [61]: https://community.wolfram.com/web/subat Charles Pooh 2022-08-05T21:37:19Z https://community.wolfram.com/groups/-/m/t/2498984 > *SHARE this contest*: https://wolfr.am/CompArt-22 # WINNERS Thank you to everyone who submitted entries into this contest! It was a blast to see all the amazing art you created. After deliberation by our judges, these are the winners: - **Honorable Mention**: ARTIST: [Daniel Hoffmann][1], EXHIBIT: "[The Memory of Persistence][2]" - **Staff Winner**: ARTIST: [Anton Antonov][3], EXHIBIT: "[Rorschach mask animations projected over 3D surfaces][4]" - **3rd Place**: ARTIST: [Jacqueline Doan][5], EXHIBIT: "[Kuramoto oscillators with phase lag][6]" - **2nd Place**: ARTIST: [Tom Verhoeff][7], EXHIBIT: "[Sculpture from 18 congruent pieces][8]" - **1st Place**: ARTIST: [Frederick Wu][9], EXHIBIT: "[Love heart jewelry IV: the giving tree][10]" ![enter image description here][11] ---------- # CONTEST Flex your creative and computational skill with Wolfram's Computational Art Contest that kicks off today, Monday, March 28th! Share your work with the community, and potentially win free Wolfram merchandise. Programmers and artists of all skill levels are encouraged to participate! This contest is inspired by Genuary, an annual project releasing generative art prompts during the month of January. We're elated to see the creative works of our users and engage with the community while exploring the scope of computational art within the Wolfram Language. ## Rules & Guidelines ## - Submission deadline is April 25th at 9am Central Time. Posts posted after will not be included in judging - Participants must fill out a detailed Community profile ( example: https://community.wolfram.com/web/claytonshonkwiler ) and create a Community post about their submission. The post must include the code used to create graphics and the final piece of art placed at the top of the post. An explanation of how their code works is required, moreover participants are encouraged to write more about their creative process. - Participants submit their entry by commenting on this post with an image of their art, along with a link to their Community post - Multiple submissions per participant are allowed, but please keep the number of submissions under three - Each participant can only win once. Participants' best-performing piece, as determined by the judges, will be used when determining winners - Both static images and animations can be submitted. Animations are preferred in a GIF format; if the animation is too large for a GIF, the post can point to a public YouTube video. - Submissions will be judged by a handful of Wolfram experts, with the following parameters: - Visual aesthetics - Wolfram Language code - Creativity - Explanation of process - Submissions from all areas of computational art are welcome - Submissions from former or current Wolfram employees are allowed, but will be judged as their own category with only one winner - Submitting previous work/posts is allowed, but must meet the requirements stated above ## Encouragements ## - Not sure where to start? We encourage you to look at other user's submission for inspiration, or look at some of the work in the visual arts group of Community: - Artists' group: https://wolfr.am/ART-examples - Artist (see Staff Picks section): https://community.wolfram.com/web/claytonshonkwiler - We encourage you to vote and comment on other people's submissions. - Please spread the word about this competition, among your friends and other social media! ## Prizes ## First, second, and third place winners will be featured on all of Wolfram's social media accounts, as well as receiving their choice of free Wolfram merchandise. We are able to ship merchandise to countries listed on the Wolfram Store: https://store.wolfram.com. If your country is not listed on the Wolfram Store, we strongly encourage you to still submit an entry, as we will feature winners submissions regardless of location. ### Important ### All contest rules have been explained above under Rules & Guidelines. It's encouraged for all participants to read the rules carefully to prevent disqualification. If you have any additional questions, ask directly in the thread comments or contact us by email at t-artcontest@wolfram.com . We recommend reading other people comments as they clarify the nature of the contest as well. Comments deemed by moderators as superfluous to the thread may be removed or transferred by moderators to keep competition professional. [1]: https://community.wolfram.com/web/danielsanderhoffmann [2]: https://community.wolfram.com/groups/-/m/t/2518220 [3]: https://community.wolfram.com/web/antononcube [4]: https://community.wolfram.com/groups/-/m/t/2518279 [5]: https://community.wolfram.com/web/jacquelinengocdoan [6]: https://community.wolfram.com/groups/-/m/t/2509110 [7]: https://community.wolfram.com/web/tverhoeff [8]: https://community.wolfram.com/groups/-/m/t/2513265 [9]: https://community.wolfram.com/web/wufei1978 [10]: https://community.wolfram.com/groups/-/m/t/2430827 [11]: https://community.wolfram.com//c/portal/getImageAttachment?filename=news-congrads-kkluyshnik-02-04-19.jpg&userId=11733 Eryn Gillam 2022-03-28T17:35:43Z https://community.wolfram.com/groups/-/m/t/20688 Hello and welcome to Wolfram Community! This is the official networking portal for the users of Wolfram technologies, a virtual home to our global family. Here you can connect, interact, share ideas, and ask questions. Start from the following:  [list] [*]Read the [url=http://community.wolfram.com/guidelines]Community Guidelines[/url] [*]Fill out your profile information [*]Browse and join [url=http://community.wolfram.com//groups][/url][url=http://www.wolfram.com/community/web/community/groups]Groups[/url]  [*]Explore and have a great time! [/list]This is our “introduce yourself” thread where you can say a few things about yourself by simply replying to this post. As soon as you do, the thread will bubble up to the top of our front page and everyone will know that you have joined and have a chance to read about you. To give you an example, I will introduce myself. I am a member of the Technical Communication and Strategy group at Wolfram Research. I get to play with almost every tidbit of the technologies we develop, build exemplary usage cases, and showcase them to the world through our sites and events. I publish at the Wolfram Demonstrations Project, write for the Wolfram Blog, and am a faculty member at the Wolfram Science Summer School. Among these and other things, I oversee management and moderation of Wolfram Community. Now it is your turn! Please note this thread is long (so many new members!) and the reply box is at the bottom. Now, please, tell us who you are! Vitaliy Kaurov 2012-10-18T06:49:28Z https://community.wolfram.com/groups/-/m/t/1872608 *Short URL to share this post*: https://wolfr.am/coronavirus ***JOIN*** *our* ***Medical Sciences*** *group for the latest updates & best networking*: https://wolfr.am/MedicalSciences ---------- This post is intended to be the hub for Wolfram resources related to novel coronavirus disease COVID-19 that originated in Wuhan, China. The larger aim is to provide a forum for disseminating ways in which Wolfram technologies and coding can be utilized to shed light on the virus and pandemic. Possibilities include using the Wolfram Language for data-mining, modeling, analysis, visualizations, and so forth. Among other things, we encourage comments and feedback on these resources. Please note that this is intended for technical analysis and discussion supported by computation. Aspects outside this scope and better suited for different forums should be avoided. Thank you for your contribution! ## ________________________________________ ## FEATURED CONTENT - [COVID-19 Livestream Notebook March 24][8] by Stephen Wolfram - [Agent-Based Networks Models for COVID-19][9] by Christopher Wolfram - [Live-Stream: Exploring Pandemic Data][10] by Stephen & Christopher Wolfram + guests - [Live-Stream: Exploring and Explaining Epidemic Modeling][11] by Stephen & Christopher Wolfram + guests ## ________________________________________ ## [CALL for Making COVID-19 Data Computable (*link*)][12] More pandemic-related information and data sets emerging every day. We invite people in the community to contribute to making more data surrounding this topic computable. Here is a call to action with some recommendations for people who want to do more, whether it's just pointing out relevant data sources, or taking the time to make some of that data computable and more instantly ready for other people to explore: https://wolfr.am/COVID-19-DATA . ## ________________________________________ ## [Curated Computable Data (*link*)][13] [FOLLOW THIS LINK][14] to see all available COVID-19 data repositories ready for computation in the Wolfram Language . [Changes in Updates to SARS-CoV-2 Sequences in the Wolfram Data Repository][16] We have published and are continuously updating the Wolfram Data Repository entries. Below are a few key ones. Follow the link above to browse all repositories. We encourage you to make [*your own contributions*][15] of curated data relevant to COVID-19. > **Pandemic Data for Novel Coronavirus COVID-19** > https://www.wolframcloud.com/obj/resourcesystem/published/DataRepository/resources/Epidemic-Data-for-Novel-Coronavirus-COVID-19 > **Genetic Sequences for the SARS-CoV-2 Coronavirus** > https://datarepository.wolframcloud.com/resources/Genetic-Sequences-for-the-SARS-CoV-2-Coronavirus > **Patient Medical Data for Novel Coronavirus COVID-19** > https://datarepository.wolframcloud.com/resources/Patient-Medical-Data-for-Novel-Coronavirus-COVID-19 > **COVID-19 Hospital Resource Use Projections** > https://datarepository.wolframcloud.com/resources/COVID-19-Hospital-Resource-Use-Projections > **OECD Data: Hospital Beds Per Country** > https://datarepository.wolframcloud.com/resources/OECD-Data-Hospital-Beds-Per-Country > **Hospital Beds Per US State** > https://datarepository.wolframcloud.com/resources/Hospital-Beds-Per-US-State ## ________________________________________ ## [Computational Publications (*link*)][17] We encourage you to share your computational explorations relevant to coronavirus on Wolfram Community as stand-alone articles and then comment with their URL links on this discussion thread. We will summarize these articles in the following list: ### ________________________________ ###FEATURED > **COVID-19 Livestream Notebook March 24** by Stephen Wolfram > https://www.wolframcloud.com/obj/s.wolfram/Published/COVID-19-Livestream-March-24.nb > **Agent-Based Networks Models for COVID-19** by Christopher Wolfram > https://community.wolfram.com/groups/-/m/t/1907703 > **Epidemiological Models for Influenza and COVID-19** by Robert Nachbar > https://community.wolfram.com/groups/-/m/t/1896178 > **Epidemic simulation with a polygon container** by Francisco Rodríguez > https://community.wolfram.com/groups/-/m/t/1901002 > **Distance to nearest confirmed US COVID-19 case** by Chip Hurst > https://community.wolfram.com/groups/-/m/t/1911583 ### ________________________________ ### EPIDEMIC MODELING: SIMULATION > **Epidemic simulation with a polygon container** by Francisco Rodríguez > https://community.wolfram.com/groups/-/m/t/1901002 > **Agent based epidemic simulation** by Jon McLoone > https://community.wolfram.com/groups/-/m/t/1900481 > **Modeling the spatial spread of infection diseases in the US** by Diego Zviovich > https://community.wolfram.com/groups/-/m/t/1889072 > **Geo-spatial-temporal COVID-19 simulations and visualizations over USA** by Diego Zviovich > https://community.wolfram.com/groups/-/m/t/1900514 > **Life, Liberty, and Lockdowns: cellular automaton approach** by Philip Maymin > https://community.wolfram.com/groups/-/m/t/2181433 ### ________________________________ ### EPIDEMIC MODELING: COMPARTMENTAL > **Teaching notebook on disease models** by Gareth Russell > https://community.wolfram.com/groups/-/m/t/2694698 > **Stochastic Epidemiology Models with Applications to the COVID-19** by Robert Nachbar > https://community.wolfram.com/groups/-/m/t/1980051 > **COVID19: Italian SIRD estimates and prediction** by Christos Papahristodoulou > https://community.wolfram.com/groups/-/m/t/1984320 > **Solver for COVID-19 epidemic model with the Caputo fractional derivatives** by Alexander Trounev > https://community.wolfram.com/groups/-/m/t/1976589 > **EpiPlay: using Mathematica to gamify education in epidemiology** by Rui Alves > https://community.wolfram.com/groups/-/m/t/2535927 > **Epidemiological Model for repetitive rapid testing for COVID-19** by Diego Zviovich > https://community.wolfram.com/groups/-/m/t/2075883 > **Phase transition of a SIR agent-based models** by Diego Zviovich > https://community.wolfram.com/groups/-/m/t/1977230 > **A simple estimate of covid-19 fatalities based on past data** by Kay Herbert > https://community.wolfram.com/groups/-/m/t/1959438 > **SIR Model with Log-normal infected periods** by Diego Zviovich > https://community.wolfram.com/groups/-/m/t/1946292 > **SEI2HR-Econ model with quarantine and supplies scenarios** by Anton Antonov > https://community.wolfram.com/groups/-/m/t/1937880 > **COVID-19 - Policy Simulator - Can you find the perfect policy?** by Jan Brugard > https://community.wolfram.com/groups/-/m/t/1931352 > **Epidemiological Models for Influenza and COVID-19** by Robert Nachbar > https://community.wolfram.com/groups/-/m/t/1896178 > **Exploring Epidemiological Modeling** by Jordan Hasler > https://community.wolfram.com/groups/-/m/t/1920119 > **SEI2HR model with quarantine scenarios** by Anton Antonov > https://community.wolfram.com/groups/-/m/t/1926505 > **The SIR Model for Spread of Disease** by Arnoud Buzing > https://community.wolfram.com/groups/-/m/t/1903289 > **COVID-19 - R0 and Herd Immunity - are we getting closer?** by Jan Brugard > https://community.wolfram.com/groups/-/m/t/1911422 > **Basic experiments workflow for simple epidemiological models** by Anton Antonov > https://community.wolfram.com/groups/-/m/t/1895675 > **Scaling of epidemiology models with multi-site compartments** by Anton Antonov > https://community.wolfram.com/groups/-/m/t/1897377 > **WirVsVirus 2020 hackathon participation** by Anton Antonov > https://community.wolfram.com/groups/-/m/t/1907256 > **An SEIR like model that fits the coronavirus infection data** by Enrique Garcia Moreno > https://community.wolfram.com/groups/-/m/t/1888335 > **A SEIRD Model For COVID-19 Using DDEs** by Luis Borgonovo > https://community.wolfram.com/groups/-/m/t/1996374 > **A Neat Package for Compartmental Model Diagrams** by Hamza Alsamraee > https://community.wolfram.com/groups/-/m/t/2078640 > **Redesign of didactics of S(E)IR(D) -> SI(EY)A(CD) models of epidemics** by Thomas Colignatus > https://community.wolfram.com/groups/-/m/t/2004784 > **COVID-19 SIR models: transmission, vaccination, herd immunity dynamics revealed** by Athanasios Paraskevopoulos > https://community.wolfram.com/groups/-/m/t/3008488 ### ________________________________ ### EPIDEMIC MODELING: LOGISTIC > **COVID-19 pandemic data in Italy** by Riccardo Fantoni > https://community.wolfram.com/groups/-/m/t/1909687 > **Predicting Coronavirus Epidemic in United States** by Robert Rimmer >https://community.wolfram.com/groups/-/m/t/1906954 > **Tracking Coronavirus Testing in the United States** by Robert Rimmer > https://community.wolfram.com/groups/-/m/t/1902302 > **Logistic Model for Quarantine Controlled Epidemics** by Robert Rimmer > https://community.wolfram.com/groups/-/m/t/1900530 > **Updated: coronavirus logistic growth model: China** by Robert Rimmer > https://community.wolfram.com/groups/-/m/t/1890271 > **Coronavirus logistic growth model: China** by Robert Rimmer > https://community.wolfram.com/groups/-/m/t/1887435 > **Coronavirus logistic growth model: Italy and South Korea** by Robert Rimmer > https://community.wolfram.com/groups/-/m/t/1887823 > **Coronavirus logistic growth model: South Korea** by Robert Rimmer > https://community.wolfram.com/groups/-/m/t/1894561 > **Logistic growth model for epidemic Covid-19 in Colombia** by Diego Ramos > https://community.wolfram.com/groups/-/m/t/2092786 ### ________________________________ ### GENOMICS > **Analyzing the spread of SARS-CoV-2 variants in California** by Daniel Lichtblau > https://community.wolfram.com/groups/-/m/t/2205357 > **Analyzing the spread of SARS-CoV-2 variants in Florida** by Daniel Lichtblau > https://community.wolfram.com/groups/-/m/t/2206874 > **Analyzing Nextstrain Data with WFR Newick Functions (COVID-19/SARS-CoV-2)** by John Cassel > https://community.wolfram.com/groups/-/m/t/1958952 > **Finding and analyzing a COVID subvariant in Australia** by Daniel Lichtblau > https://community.wolfram.com/groups/-/m/t/2342489 > **Analyzing SARS-CoV-2 Genetic Sequences** by John Cassel & Daniel Lichtblau > https://blog.wolfram.com/2021/08/19/newick-trees-proximity-resources-and-accessions-analyzing-sars-cov-2-genetic-sequences/ > **Estimating the number of times the SARS CoV-2 virus has replicated** by Carlos Munoz > https://community.wolfram.com/groups/-/m/t/1943243 >**From sequenced SARS-CoV-2 genomes to a phylogenetic tree** by Daniel Lichtblau >https://community.wolfram.com/groups/-/m/t/1961461 > **Genome analysis and the SARS-nCoV-2** by Daniel Lichtblau > https://community.wolfram.com/groups/-/m/t/1874816 > **Visualizing Sequence Alignments from the COVID-19** by Jessica Shi > https://community.wolfram.com/groups/-/m/t/1875352 > **A walk-through of the SARS-CoV-2 nucleotide Wolfram resource** by John Cassel > https://community.wolfram.com/groups/-/m/t/1887456 > **Geometrical analysis of genome for COVID-19 vs SARS-like viruses** by Mads Bahrami > https://community.wolfram.com/groups/-/m/t/1878824 > **Chaos Game For Clustering of Novel Coronavirus COVID-19** by Mads Bahrami > https://community.wolfram.com/groups/-/m/t/1875994 ### ________________________________ ### DATA ANALYSIS > **Optimal Annual COVID-19 Vaccine Boosting Dates Following Previous Booster Vaccination or Breakthrough Infection** by Jeffrey Townsend > https://community.wolfram.com/groups/-/m/t/3341399 > **Probability of early infection extinction depends linearly on the virus clearance rate** by Nóra Juhász > https://community.wolfram.com/groups/-/m/t/3307502 > **Detecting Global Community Structure in a COVID-19 Activity Correlation Network** by Hiroki Sayama > https://community.wolfram.com/groups/-/m/t/3056172 > **Analyzing trends of COVID-19 through public news feeds** by Silvia Hao > https://community.wolfram.com/groups/-/m/t/2569395 > **Deep neural network detection & clinical staging of COVID-19 chest X-rays** by Peter Riley > https://community.wolfram.com/groups/-/m/t/2389110 > **COVID-19 - The Swedish Experiment - Is it working?** by Jan Brugard > https://community.wolfram.com/groups/-/m/t/1974412 > **A simple COVID-19 spread model** by Daniel Lichtblau > https://community.wolfram.com/groups/-/m/t/1945196 > **COVID19: The performance of the Swedish strategy** by Christos Papahristodoulou > https://community.wolfram.com/groups/-/m/t/1990972 > **Exploring social trends on Covid-19 pandemic using WikipediaData** by Jofre Espigule-Pons > https://community.wolfram.com/groups/-/m/t/1931508 > **Google Mobility Data** by Mads Bahrami > https://community.wolfram.com/groups/-/m/t/1946686 > **Understanding Aggregate COVID Curves** by Christopher Wolfram > https://community.wolfram.com/groups/-/m/t/2068457 > **Apple mobility trends data visualization** by Anton Antonov > https://community.wolfram.com/groups/-/m/t/1942813 > **Computing COVID-19 Spread Rates in US Cities** by Daniel Lichtblau > https://community.wolfram.com/groups/-/m/t/1930261 > **COVID-19 data and the Newcomb Benford Distribution** by Gustavo Delfino > https://community.wolfram.com/groups/-/m/t/1913908 > **Short-time trends for COVID-19**, by Fabian Wenger > https://community.wolfram.com/groups/-/m/t/1912710 > **What countries are hit hard by COVID19 outbreak?** by Mads Bahrami > https://community.wolfram.com/groups/-/m/t/1904507 > **COVID19 in Iran: under-diagnosis issue** by Mads Bahrami > https://community.wolfram.com/groups/-/m/t/1891140 > **Coronavirus analysis: descriptive statistics with SQL functions** by Damian Calin > https://community.wolfram.com/groups/-/m/t/2206078 > **Covid-19 vaccine campaigns efficacy analysis** by Damian Calin > https://community.wolfram.com/groups/-/m/t/2383314 > **Argentina: COVID-19 Data Analysis** by Tobias Canavesi > https://community.wolfram.com/groups/-/m/t/1932910 > **Analysis of the Change in Phillips Curve After COVID-19 with Regression** by Seojin Yoon > https://community.wolfram.com/groups/-/m/t/2055704 > **COVID wave alert: statistical analysis and visualization** by Antonio Neves > https://community.wolfram.com/groups/-/m/t/2115658 > **Predicting COVID-19 using cough sounds classification** by Siria Sadeddin > https://community.wolfram.com/groups/-/m/t/2166833 > **Covid-19 vaccination data analysis using SQL functions** by Damian Calin > https://community.wolfram.com/groups/-/m/t/2324474 > **Analyzing COVID-19 vaccine sentiment over time** by Arshaan Sayed > https://community.wolfram.com/groups/-/m/t/2317293 > **VAERS data analysis using SQL functions** by Damian Calin > https://community.wolfram.com/groups/-/m/t/2351726 > **Correlating COVID-19 government measures to biweekly/daily outbreaks** by Arshaan Sayed > https://community.wolfram.com/groups/-/m/t/2362327 > **Plotting Covid19 sentiment in different regions of Chennai** by Aditya Sairam Prakash > https://community.wolfram.com/groups/-/m/t/2388236 ### ________________________________ ### DATA VISUALIZATIONS > **CDC COVID19 vaccination data across US counties** by Mads Bahrami > https://community.wolfram.com/groups/-/m/t/2282418 > **Top 20 COVID countries HeatMap by absolute death and death in ppm** by Rodrigo Murta > https://community.wolfram.com/groups/-/m/t/2004800 > **COVIDWORLD app: current data and visualizations for SARS-CoV2 pandemic** by Rui Alves > https://community.wolfram.com/groups/-/m/t/2473065 > **US Counties COVID-19 confirmed cases by population density timelines** by Bob Sandheinrich > https://community.wolfram.com/groups/-/m/t/1992898 > **3D Modeling of the SARS-CoV-2 Virus in the Wolfram Language** by Jeff Bryant > https://community.wolfram.com/groups/-/m/t/1989540 > **California COVID19 Data** by Mads Bahrami > https://community.wolfram.com/groups/-/m/t/2132204 > **COVID-19 progress in Peru macro regions: coast vs mountain vs jungle** by Francisco Rodríguez > https://community.wolfram.com/groups/-/m/t/1965079 > **COVID-19 reopening criterion: a simple visualization** by Mads Bahrami > https://community.wolfram.com/groups/-/m/t/1962615 > **100 Days of COVID19 Over US Counties** by Mads Bahrami > https://community.wolfram.com/groups/-/m/t/1956368 > **Population Density Map** by Mads Bahrami > https://community.wolfram.com/groups/-/m/t/1955760 > **Google Mobility Data** by Mads Bahrami > https://community.wolfram.com/groups/-/m/t/1946686 > **COVID19 Case-Fatality Ratio, Income, and Age: Simple Visualization** by Mads Bahrami > https://community.wolfram.com/groups/-/m/t/1939045 > **Data Analysis of Coronavirus in Mexico** by Ivan Martinez > https://community.wolfram.com/groups/-/m/t/1927657 > **Confirmed COVID-19 Cases in Catalonia** by Bernat Espigulé Pons > https://community.wolfram.com/groups/-/m/t/1919468 > **Distance to nearest confirmed US COVID-19 case** by Chip Hurst > https://community.wolfram.com/groups/-/m/t/1911583 > **COVID19 Confirmed Cases: US Counties** by Mads Bahrami > https://community.wolfram.com/groups/-/m/t/1950980 > **COVID19 data visualization across US counties** by Mads Bahrami > https://community.wolfram.com/groups/-/m/t/2119049 > **Maps for Visualizing Covid-19's Effect** by Eric Mockensturm > https://community.wolfram.com/groups/-/m/t/1934457 > **US Counties COVID-19 deaths plot** by Bob Sandheinrich > https://community.wolfram.com/groups/-/m/t/1918332 > **Comparing the spread of COVID-19 between countries**, Jan Brugard > https://community.wolfram.com/groups/-/m/t/1905992 > **NY Times COVID-19 data visualization** by Anton Antonov > https://community.wolfram.com/groups/-/m/t/1911668 > **COVID-19 cases for each administrative division in Spain** by Bernat Espigulé Pons > https://community.wolfram.com/groups/-/m/t/1910116 > **Propagation risk of COVID-19 by local contact in Spain (10 - 14 March)** by Bernat Espigulé Pons > https://community.wolfram.com/groups/-/m/t/1898126 > **Visualizing the Pandemic Data COVID-19** by Martijn Froeling > https://community.wolfram.com/groups/-/m/t/1899870 > **COVID-19 visualization of turning point** by Isao Maruyama > https://community.wolfram.com/groups/-/m/t/1899911 > **Mapping "Live" COVID Data on a Globe** by Gabriel Lemieux > https://community.wolfram.com/groups/-/m/t/1902102 > **Novel Coronavirus COVID-19 in Brazil** by Estevao Teixeira > https://community.wolfram.com/groups/-/m/t/1905950 > **Mapping Novel Coronavirus COVID-19 Outbreak** by Jofre Espigule-Pons > https://community.wolfram.com/groups/-/m/t/1868945 > **Ways to visualize COVID-19 simulation results?** by Kyle Keane > https://community.wolfram.com/groups/-/m/t/1962739 > **General and COVID-19 deaths in Sweden** by Oscar Rodriguez > https://community.wolfram.com/groups/-/m/t/2006377 > **COVID19 Tokyo per days of the week** Isao Maruyama > https://community.wolfram.com/groups/-/m/t/2133807 ### ________________________________ ### DATA PROCESSING > **Cov-Tell: Daily COVID-19 Updates with Alexa (made with Wolfram APIFunction)** by Jessica Shi > https://community.wolfram.com/groups/-/m/t/1958307 > **Build a COVID-19 Chest X-Ray Image Uploader with Cloud & Data Drop** by Jofre Espigule-Pons > https://community.wolfram.com/groups/-/m/t/1919770 > **Scraping OpenTable's "State of the Industry" page** by Aaron Enright > https://community.wolfram.com/groups/-/m/t/1911043 > **City-level Search Tool for Coronavirus (COVID-19) Confirmed Cases** by David Lomiashvili > https://community.wolfram.com/groups/-/m/t/1913247 > **Web Scraper: New York Times Coronavirus Data** by Robert Rimmer > https://community.wolfram.com/groups/-/m/t/1894426 > **TraCOV: Personalized COVID-19 Risk Analysis Tool** by Jessica Shi > https://community.wolfram.com/groups/-/m/t/1977700 > **Mobility changes data: transforming to Wolfram Language dataset** by Mads Bahrami > https://community.wolfram.com/groups/-/m/t/2160386 ### ________________________________ ### MASKS > **Effect of mandatory mask usage in COVID cases** by Diego Zviovich > https://community.wolfram.com/groups/-/m/t/1919060 > **Face mask detection: classifying image data** by Siria Sadeddin > https://community.wolfram.com/groups/-/m/t/2139499 ## ________________________________________ ## [Livestream Archives (*link*)][18] - Stephen & Christopher Wolfram + guests [Exploring Pandemic Data][19] - Stephen & Christopher Wolfram + guests [Exploring and Explaining Epidemic Modeling][20] - Robert Nachbar - [Epidemiological Models for Influenza and COVID-19][21] - Brian Wood - [COVID-19 Dashboard Visualizations][22] - John Cassel - [Behind the Genetic Sequences for Novel Coronavirus SARS-CoV-2][23] - Keiko Hirayama - [Patient Data Exploration for the Novel Coronavirus COVID-19][24] - Keiko Hirayama - [Pandemic Data Exploration for the Novel Coronavirus COVID-19][25] - Diego Zviovich - [Geo-spatial-temporal COVID-19 Simulations and Visualizations Over USA][26] - Anton Antonov - [COVID19 Epidemic Modeling: Compartmental Models][27] - Anton Antonov - [Scaling of Epidemiology Models with Multi-site Compartments][28] - Anton Antonov - [Simple Economic Extension of Compartmental Epidemiological Models][29] - Juan Klopper - [Coronavirus medical data analysis][30] - Juan Klopper - [Coronavrirus epidemiological data analysis][31] - Rory Foulger - [Coronavirus Data Exploration - Wolfram Livecoding with Students][32] ## ________________________________________ ## Other useful resources - Arnoud Buzing [GitHub][33] repository and [Notebook Gallery][34] for coronavirus - [Modeling a Pandemic like Ebola with the Wolfram Language](https://blog.wolfram.com/2014/11/04/modeling-a-pandemic-like-ebola-with-the-wolfram-language) - [Epidemics at Wolfram Demonstrations](https://demonstrations.wolfram.com/search.html?query=epidemic) - [IGSIRProcess - IGraph Epidemic models][35] [1]: https://community.wolfram.com//c/portal/getImageAttachment?filename=1China_c.png&userId=1624544 [2]: https://community.wolfram.com//c/portal/getImageAttachment?filename=1.5US_c.png&userId=1624544 [3]: https://community.wolfram.com//c/portal/getImageAttachment?filename=2World_c.png&userId=1624544 [4]: https://community.wolfram.com//c/portal/getImageAttachment?filename=3Genetic_c.png&userId=1624544 [5]: https://community.wolfram.com//c/portal/getImageAttachment?filename=4Patient_c.png&userId=1624544 [6]: https://community.wolfram.com//c/portal/getImageAttachment?filename=5Resources_c.png&userId=1624544 [7]: https://www.wolframcloud.com/obj/examples/COVID19Preview.png [8]: https://www.wolframcloud.com/obj/s.wolfram/Published/COVID-19-Livestream-March-24.nb [9]: https://community.wolfram.com/groups/-/m/t/1907703 [10]: https://youtu.be/Vs5APySGYnk [11]: https://youtu.be/kC6LHAv_lx0 [12]: https://community.wolfram.com/groups/-/m/t/1908923 [13]: https://datarepository.wolframcloud.com/search/?i=COVID-19 [14]: https://datarepository.wolframcloud.com/search/?i=COVID-19 [15]: https://reference.wolfram.com/language/workflow/SubmitToTheWolframDataRepository.html [16]: https://community.wolfram.com/groups/-/m/t/2238214 [17]: http://wolfr.am/StaffPicks [18]: https://www.youtube.com/playlist?list=PLxn-kpJHbPx3_hUbroRYC_7NxcOwZ1SWa [19]: https://youtu.be/Vs5APySGYnk [20]: https://youtu.be/kC6LHAv_lx0 [21]: https://youtu.be/pcFB6_yrxGE [22]: https://youtu.be/vUq8qx7kTYA [23]: https://youtu.be/HCJgv3N_kDo [24]: https://youtu.be/MlI_8o4A3BA [25]: https://youtu.be/P86ZY-znE64 [26]: https://youtu.be/Kjk-sYlg-U0 [27]: https://youtu.be/LRs9rYCXIzs [28]: https://youtu.be/b8oCNjRI0gY [29]: https://youtu.be/C-sjXQiPE7s [30]: https://youtu.be/gA0TPQZgNY0 [31]: https://youtu.be/I-n3zN4aU6c [32]: https://youtu.be/4xCfPIiredM [33]: https://github.com/arnoudbuzing/wolfram-coronavirus [34]: https://wolfr.am/JZNRriEE [35]: http://szhorvat.net/mathematica/IGDocumentation/#epidemic-models Vitaliy Kaurov 2020-02-04T15:18:14Z https://community.wolfram.com/groups/-/m/t/2458169 A new study group devoted to Cryptography begins next Monday! I will be leading this group daily, Monday to Friday, over the next three weeks, until February 18. The curriculum follows the upcoming Wolfram U course "[Introduction to Cryptography][1]". A list of daily topics can be found on the [Daily Study Groups][2] page. The study group sessions include videos and reading materials for the course and time for discussion and Q&A. After the study group will help you may complete the course quizzes and achieve the "Course Completion" certificate for the "[Introduction to Cryptography][3]" . > **REGISTER HERE:** > https://www.bigmarker.com/series/daily-study-group-intro-to-cryptography/series_details > **About This Study Group:** Cryptography has existed for thousands of years and currently is a fascinating topic to study because of the close ties it forges between theory and practice. It makes use of bitwise computations, advanced algebra, string operations and everything in between. The Wolfram Language, with functions that provide basic building blocks for modern cryptography, makes a great tool for hands-on understanding of various concepts. In this Study Group, you will follow video lessons from the new Wolfram U course Introduction to Cryptography and learn about the concepts, underlying math and connections to real-world scenarios. ![enter image description here][4] P.S: Don't worry if you are unable to attend every session live: the recordings will be sent out to those who registered! [1]: https://www.wolfram.com/wolfram-u/introduction-to-cryptography/ [2]: https://www.bigmarker.com/series/daily-study-group-intro-to-cryptography/series_details [3]: https://www.wolfram.com/wolfram-u/introduction-to-cryptography/ [4]: https://community.wolfram.com//c/portal/getImageAttachment?filename=WolframUbanner.jpg&userId=20103 Dariia Porechna 2022-01-28T13:31:36Z https://community.wolfram.com/groups/-/m/t/3106406 A Wolfram U Daily Study Group previewing our upcoming Programming Proficiency [course sequence][1] begins on Monday, January 29, 2024. The study group will run for ten days through February 9, and each day will run from 11AM to noon CDT. Join me, [@Abrita Chakravarty][at0] and a cohort of fellow enthusiasts to build a strong foundation for any and all sorts of Wolfram Language programming that you'll do in the future. We'll cover everything from syntax, definitions, and the underlying structure of expressions to efficient coding, working with various data structures, and even developing packages. This study group will cover material from our [Programming Fundamentals][2] and [Practical Programming][3] courses, as well as provide attendees a first look at Programming and Development, the upcoming third and final course in the Programming Proficiency course sequence. Our intent is to provide a setting for this material which not only reaps the benefits of our Daily Study Groups'... well, *group* nature, but also spreads this material out over two weeks for those who cannot commit to the three-hour blocks required by these courses in their natural habitat. This study groups aims to get you up and running with Wolfram Language, and as such no prior Wolfram Language or programming experience is necessary. >[**REGISTER HERE.**][4] We look forward to seeing you there! ![enter image description here][5] [at0]: https://community.wolfram.com/web/abritac [1]: https://www.wolfram.com/wolfram-u/courses/programming-applications/wolfram-language-programming-proficiency-dev810/ [2]: https://www.wolfram.com/wolfram-u/courses/programming-applications/programming-fundamentals-dev210/ [3]: https://www.wolfram.com/wolfram-u/courses/programming-applications/practical-programming-dev211/ [4]: https://www.bigmarker.com/series/daily-study-group-programming-proficiency-wsg48/series_details?utm_bmcr_source=community [5]: https://community.wolfram.com//c/portal/getImageAttachment?filename=wolframubanner.png&userId=1711324 Arben Kalziqi 2024-01-20T00:07:52Z https://community.wolfram.com/groups/-/m/t/3241186 A Wolfram U Daily Study Group on ["Introduction to Calculus"][1] begins on Monday, August 12, 2024. Join a cohort of fellow mathematics enthusiasts to learn about the fundamentals of calculus from the recent [Introduction to Calculus][2] ebook by John Clark and myself. Our topics will include functions and limits, differential and integral calculus, and practical applications of calculus. The study group will be led by expert Wolfram U instructor [Luke Titus][4], and I will stop by occasionally to check in with the group. It should be a lot of fun! No prior Wolfram Language experience is required. Please feel free to use this thread to collaborate and share ideas, materials and links to other resources with fellow learners. **Dates** August 12- September 6, 2024, 11am-12pm CT (4-5pm GMT) > **[REGISTER HERE][5]** ![enter image description here][6] [1]: https://www.bigmarker.com/series/introduction-to-calculus-wsg56/series_details?utm_bmcr_source=community [2]: https://www.wolfram-media.com/products/introduction-to-calculus/ [3]: https://www.wolfram.com/wolfram-u/courses/mathematics/introduction-to-calculus/ [4]: https://community.wolfram.com/web/luket [5]: https://www.bigmarker.com/series/introduction-to-calculus-wsg56/series_details?utm_bmcr_source=community [6]: https://community.wolfram.com//c/portal/getImageAttachment?filename=wolframu-banner.png&userId=26786 Devendra Kapadia 2024-08-05T20:01:27Z https://community.wolfram.com/groups/-/m/t/122095 The latest way I have found to use my expensive math software for frivolous entertainment is this. Here's is a way to describe it. [list] [*]1000 dancers assume random positions on the dance-floor. [*]Each randomly chooses one "friend" and one "enemy". [*]At each step every dancer [list] [*]moves 0.5% closer to the centre of the floor [*]then takes a large step towards their friend [*]and a small step away from their enemy. [/list] [*]At random intervals one dancer re-chooses their friend and enemy [/list] Randomness is deliberately injected. Here is the dance... [mcode]n = 1000; r := RandomInteger[{1, n}]; f := (#/(.01 + Sqrt[#.#])) & /@ (x[[#]] - x) &; s := With[{r1 = r}, p[[r1]] = r; q[[r1]] = r]; x = RandomReal[{-1, 1}, {n, 2}]; {p, q} = RandomInteger[{1, n}, {2, n}]; Graphics[{PointSize[0.007], Dynamic[If[r < 100, s]; Point[x = 0.995 x + 0.02 f[p] - 0.01 f[q]]]}, PlotRange -> 2][/mcode] [img]/c/portal/getImageAttachment?filename=OPTfnlfrnds.gif&userId=11733[/img] Thanks to Vitaliy for posting this on my behalf, complete with animations :-) Background: I had read somewhere that macro-scale behaviour of animal swarms (think of flocks of starlings or shoals of herring) is explained by each individual following very simple rules local to their vicinity, essentially 1) try to keep up and 2) try not to collide. I started trying to play with this idea in Mathematica, but it was rather slow to identify the nearest neighbours of each particle. So I wondered what would happen if each particle acted according to the locations of two other particles, regardless of their proximity. The rule was simply to move away from one and towards the other. The contraction (x = 0.995 x) was added to prevent the particle cloud from dispersing towards infinity or drifting away from the origin. I tweaked the "towards" and "away" step sizes to strike a balance between the tendency to clump together and to spread apart (if you make the step sizes equal you get something more like a swarm of flies). With each particle's attractor and repeller fixed, the system finds a sort of dynamic equilibrium, so to keep things changing I added a rule to periodically change the attractor and repeller for one of the particles. The final adjustment was to make the "force" drop towards zero for particles at very close range. This helps to stop the formation of very tight clumps, and also prevents a division-by-zero error when a particle chooses itself as its attractor or repeller. The description of the system as a dance was an attempt to explain the swirling pattern on the screen without using mathematical language. I'd love to see what other "dances" can be created with other simple rules. Simon Woods 2013-09-11T18:31:12Z https://community.wolfram.com/groups/-/m/t/3481794 ![enter image description here][1] Michael Trott was more than a brilliant scientist, he was a mentor, a friend, and a truly unique human being. For those of us lucky enough to work closely with him, his absence leaves a deep void. He brought an irreplaceable blend of curiosity, creativity, and humility to everything he did. Our long meetings, where we'd dive into unconventional ideas in physics and find ways to implement them in Mathematica, often stretched past hours, but no one ever minded. With Michael, even the most abstract idea could spark a new direction, a novel prototype, or an unexplored corner of science. He didn't just think outside the box, he rebuilt it entirely, quietly and kindly. His codes weren't always optimized for performance, but they were original and beautiful. I have never seen anyone so professional in prototyping novel ideas computationally; and this was our joint passion for Mathematica, as we believed it is one of the best tool, if not the best, for this purpose. One can find a few examples of Michael's style of thinking in the [Wolfram Blog][2], [Wolfram Demonstration Project][3], or [Wolfram Community][4]. He was also the author of four seminal books: "[The Mathematica GuideBooks][5]" (four volumes). He had a deep grasp of the history and architecture of Mathematica, with a passion for physics, especially quantum theory, and a genius for applying technology in unexpected ways. Michael Trott joined Wolfram Research in 1994 and was a cornerstone of the company for over 30 years. As Chief Scientist of Wolfram|Alpha, his fingerprints are on thousands of algorithms and innovations, from computational art to physical constants, from parsing human input to building bridges between theoretical physics and computation. The [Wolfram Quantum Framework][6], as a small example, would not have been possible without his support and contributions. Michael was encyclopedic in knowledge, yet endearingly humble. He read hundreds of papers, built massive daily digests on LLMs, mentored researchers across physics, math, and engineering; and still worried whether he had anything "original" to offer before a scheduled talk at the University of Vienna (see the material he'd prepared for this talk from [this link][7]; we even had a dry-run together, to discuss the content repeatedly). His presence was magnetic. He showed up early to Zoom calls (Wolfram Research has many remote employees, including myself, even before COVID pandemic) and sparked thoughtful conversation before meetings began. He didn't just build things but he shared them generously. He brought humanity to everything he touched. Whether discussing quantum fields or life under East Germany's Stasi, he made space for your story too. He helped others grow, quietly and consistently, always leading by example. Toward the end, we spoke about the multiverse; you were certain we'd meet again. In those final days, lying in your hospital bed, we found ourselves deep in conversation about the quantum-to-classical transition and nonlinearities. Thank you, Michael, for everything. You showed so many of us what it truly means to be both a scientist and a human being. [1]: https://community.wolfram.com//c/portal/getImageAttachment?filename=Screenshot2025-06-18at9.36.32%E2%80%AFPM.png&userId=1539902 [2]: https://blog.wolfram.com/author/michael-trott/ [3]: https://demonstrations.wolfram.com/authors/michael-trott [4]: https://community.wolfram.com/web/mtrott [5]: https://www.amazon.com/stores/author/B001ITTUVM/allbooks [6]: https://resources.wolframcloud.com/PacletRepository/resources/Wolfram/%5C%20QuantumFramework/ [7]: https://amoeba.wolfram.com/index.php/s/Jbrt4q6cYTN7rC7 Mohammad Bahrami 2025-06-19T04:38:05Z https://community.wolfram.com/groups/-/m/t/1985992 This week we will be looking at the following topics: - Tuesday May 26: Dataset - Wednesday May 27: Package Development - Thursday May 28: Workbench - Friday May 29: Useful Tips and Session Wrap Up Please post your questions on this thread and look out for daily challenges. Abrita Chakravarty 2020-05-26T15:21:32Z https://community.wolfram.com/groups/-/m/t/1432072 *NOTE: This is a long page with many images. Scroll through to find some gems.* ---------- ![enter image description here][1] [WordFrequencyData][4] is a nifty instrument for mining oceans of texts and discovering wonderful historical semantic curiosities. **This post is a call for you to share your discoveries of interesting word histories**. Rules are very simple. - Post you discovery as a comment on this thread - Your discovery should be curious histories of some words that can be seen in their WordFrequencyData - Start your comment with a title clearly indicating the meaning of your discovery (use # as the first character to make a title) - Your comment must contain a plot WordFrequencyData of your terms. You can use the function I provide below. Alternatively you can use your own what to visualize WordFrequencyData. - Your comment must contain Wolfram Language code you use to make the plot - Your comment must contain some text explaining why you think the words you found are curious and interesting in your opinion - *If you want to comment on someone's work please click REPLY to his/her specific post so it is clear to what you refer and nested structure of comments is preserved.* Please see comment below for good examples. ---------- ### FUNCTION for PLOTs ---------- Feel free to use this function for your visualizations and change or improve it if you wish. Note what kind of options you can provide to this plot. I tried to limit those options to only very important once, fixing other options to make a nice plot. ClearAll@WordFrequencyPlot; Options[WordFrequencyPlot]= {"YearStart"->1800,"YearEnd"->Now,"Case"->True, "Smooth"->3,"Scaling"->None,"Style"->Automatic}; WordFrequencyPlot[words_,OptionsPattern[]]:= With[{ $data=WordFrequencyData[words,"TimeSeries", {OptionValue["YearStart"],OptionValue["YearEnd"]}, IgnoreCase->OptionValue["Case"]]}, DateListPlot[ MapThread[Callout, {MeanFilter[#,Quantity[OptionValue["Smooth"],"Years"]]&/@ Values[$data],words}], ScalingFunctions->OptionValue["Scaling"], PlotRange->All, PlotTheme->"Detailed", PlotStyle->OptionValue["Style"], FrameTicks->{Automatic,None}, ImageSize->Large, FrameLabel->{"YEAR","FREQUENCY in TEXT"}] ] [1]: http://community.wolfram.com//c/portal/getImageAttachment?filename=ScreenShot2018-09-04at5.02.04PM.png&userId=11733 [2]: http://community.wolfram.com//c/portal/getImageAttachment?filename=ScreenShot2018-08-30at8.19.02PM.png&userId=20103 [3]: http://community.wolfram.com//c/portal/getImageAttachment?filename=ScreenShot2018-09-04at12.48.22PM.png&userId=11733 [4]: http://reference.wolfram.com/language/ref/WordFrequencyData.html Vitaliy Kaurov 2018-08-30T21:41:25Z https://community.wolfram.com/groups/-/m/t/1070264 [Wolfram Language][1] (WL) is a powerful multi-paradigm programing language. There is a set of common mistakes that repeatedly tend to entrap new users. **This is a call to describe such mistakes building a "black-listing" guide for novice coders.** Please consider contributing. I suggest following simple rules (with gratitude adapted from a [similar effort][2]): - One topic per answer - Focus on non-advanced uses (it is intended to be useful for beginners and as a question closing reference) - Include a self explanatory title in header style (example: "# Basic built-in function syntax"; see [syntax guide][3] ) - Explain the symptoms, the mechanism behind the scenes and all possible causes and solutions you can think of. Be sure to include a beginner's level explanation (and a more advance one too, if you can) *Please, use "**Reply**" to a specific comment for structured clarity of nested comments.* ---------- ## Table of Contents - [Basic syntax of built-in functions][4] - [Learn how to use the Documentation Center effectively][5] - [Sorting numerical data and the behavior of Sort][6] - [What does @#(%=<\[!} et cetera mean?][7] - [Consider Reap/Sow Instead of AppendTo][8] - [Alternatives to Reap/Sow][9] - [Case sensitivity and typos][10] - [Numerical vs Symbolic -- What to do when plots are blank][11] - [Import and "CurrencyTokens"][12] [1]: https://www.wolfram.com/language [2]: https://mathematica.stackexchange.com/q/18393/13 [3]: http://community.wolfram.com/groups/-/m/t/270507 [4]: http://community.wolfram.com/groups/-/m/t/1069885 [5]: http://community.wolfram.com/groups/-/m/t/1070285 [6]: http://community.wolfram.com/groups/-/m/t/1070705 [7]: http://community.wolfram.com/groups/-/m/t/1070946 [8]: http://community.wolfram.com/groups/-/m/t/1084289 [9]: http://community.wolfram.com/groups/-/m/t/1164555 [10]: http://community.wolfram.com/groups/-/m/t/1084920 [11]: http://community.wolfram.com/groups/-/m/t/1086929 [12]: http://community.wolfram.com/groups/-/m/t/1086969 Vitaliy Kaurov 2017-04-23T23:54:23Z https://community.wolfram.com/groups/-/m/t/2798101 Join Wolfram U instructors and a cohort of fellow learners in a Daily Study Group series to prepare for the [Wolfram Language Level 1 Certification][1]. We will review various topics that are included in the exam to test your proficiency in Wolfram Language programming. Daily Study Group dates: Feb 13th-17th, 11am-12pm CT (5-6pm GMT) **[REGISTER HERE][2]** ![enter image description here][3] Whether you are a new Wolfram Language user or an expert, join our study group, share your questions and feedback and, finally, take the exam to earn your certification. Don't forget to share your certificate on social media and tag us #WolframCertified [1]: https://www.wolfram.com/wolfram-u/certification/level1/language/ [2]: https://www.bigmarker.com/series/daily-study-group-wolfram-language-certification-prep-wsg35/series_details?utm_bmcr_source=community [3]: https://community.wolfram.com//c/portal/getImageAttachment?filename=wolframu-banner.png&userId=130003 Abrita Chakravarty 2023-01-20T20:14:34Z https://community.wolfram.com/groups/-/m/t/1659553 Dear all, inspired by another [great post][1] of [@Anton Antonov][at0] and in particular there by a remark of [@Vitaliy Kaurov][at1] pointing to [the art of knitting images][2] I could not resist trying with Mathematica. Clearly - this problem is crying out loudly for **Radon transform**! ![enter image description here][3] I start by choosing some example image, convert it to inverse grayscale and perform the Radon transform. ClearAll["Global`*"] img0 = RemoveBackground[ ImageTrim[ ExampleData[{"TestImage", "Girl3"}], {{80, 30}, {250, 240}}], {"Background", {"Uniform", .29}}]; img1 = ImageAdjust[ColorNegate@ColorConvert[RemoveAlphaChannel[img0], "Grayscale"]]; {xDim, yDim} = {180, 400}; (* i.e. angles between 1\[Degree] and 180\[Degree] *) rd0 = Radon[img1, {xDim, yDim}]; ImageCollage[{img0, ImageAdjust@rd0}, Method -> "Rows", Background -> None, ImagePadding -> 10] ![enter image description here][4] Every column of the Radon image represents a different angle of projection. So next I separate these columns into (here 180) single Radon images and do an inverse Radon transform on each: maskLine[a_] := Table[If[a == n, 1, 0], {n, 1, xDim}]; maskImg = Table[Image[ConstantArray[maskLine[c], yDim]], {c, 1, xDim}]; rdImgs = rd0 maskImg; ProgressIndicator[Dynamic[n], {1, xDim}] invRadImgs = Table[{ImageApply[If[# > 0, #, 0] &, InverseRadon[rdImgs[[n]]]], -(n - 91) \[Degree]}, {n, 1, xDim}]; These data already represent the angle dependent intensities for backpropagation. Now one just has *somehow* to translate these intensities into discretely spaced lines (because this is the actual task in analogy to the above mentioned knitting ). Here is my simple attempt, which e.g. for 69° gives the following result (I am not really happy with this - there is definitely room for improvement!): ![enter image description here][5] valsAngle[invRads_] := Module[{img, angle, data, l2}, angle = Last@invRads; data = Max /@ (Transpose@*ImageData@*ImageRotate @@ invRads); l2 = Round[Length[data]/2]; data = MapIndexed[{First[#2] - l2, #1} &, data]; {Select[ Times @@@ ({#1, If[#2 > .0003, 1, 0]} & @@@ ((Mean /@ # &)@*Transpose /@ Partition[data, 5])), # != 0 &], angle} (* limiting value of 0.0003 is just empirical! *) ]; va = valsAngle /@ invRadImgs; graphicsData[va_] := Module[{u, angle}, {u, angle} = va; InfiniteLine[# {Cos[angle], -Sin[angle]}, {Sin[angle], Cos[angle]}] & /@ u]; gd = graphicsData /@ va; Graphics[{Thickness[.0003], gd}, ImageSize -> 600, PlotRange -> {{-170, 170}, {-220, 220}}] ... and the result is a bunch of lines: ![enter image description here][6] [at0]: https://community.wolfram.com/web/antononcube [at1]: https://community.wolfram.com/web/vitaliyk [1]: https://community.wolfram.com/groups/-/m/t/1555648?p_p_auth=T7A50bYl [2]: http://artof01.com/vrellis/works/knit.html [3]: https://community.wolfram.com//c/portal/getImageAttachment?filename=ImageOfLines.gif&userId=32203 [4]: https://community.wolfram.com//c/portal/getImageAttachment?filename=img0rd0.jpg&userId=32203 [5]: https://community.wolfram.com//c/portal/getImageAttachment?filename=linesample.png&userId=32203 [6]: https://community.wolfram.com//c/portal/getImageAttachment?filename=ImageOfLines.png&userId=32203 Henrik Schachner 2019-04-13T20:01:08Z https://community.wolfram.com/groups/-/m/t/870444 ## The Original Question ## Last week I attended the Wolfram Tour (which was great). I asked whenever we could expect a new version of Workbench, as the current (public) version 2 is very out dated. They responded that they use a more up to date version internally at Wolfram (with some sort of automatic update system) but this version has not been made public as it would require some effort to create a distributional version of it. The reason that they did not invest in this is probably that Workbench has not got many users, and therefor the effort to create a public version is too great in comparison to the number of users. They advised us to create a public topic on this and ask for support of the community to make this a higher priority at Wolfram. **Please let me (and wolfram) know that you are also interested in a new version of the Wolfram Workbench.** ## To Summarize the Comments ## **What do we miss** - Creating native Mathematica Documentation - Profiler function - Unit Testing (although this is already included in Mathematica 10+, it feels a bit awkward to me to run a nb for unit testing) - IDE to develop large WL programs/packages: (Proper meaning: debugging, refactoring, code hinting, search multiple-files etc.) **Suggested Solutions** - Release (the already internally available) Workbench **[preferred solution]** - Seperate the functionality (Profiler, Documentation tools) from WB and support (for example) the IDEA plugin ## Update from Wolfram (21-okt-2016) ## Not sure if we contributed to this, but Wolfram has released what look like the internally used Wolfram WB plugin. For Instructions how to get it: http://support.wolfram.com/kb/27221. It also looks like this plugin is free to use, so no extra license is required (for now). **Edit 2 november 2016:** I've been working with the new Eclipse Plugin (in combination with Mathematica 11 for 2 weeks now and find that it works really well, have not been able to find mayor errors :) **I want to thank everyone for taking the time to support this post** Frank Martin 2016-06-10T14:47:53Z https://community.wolfram.com/groups/-/m/t/1868945 *MODERATOR NOTE: coronavirus resources & updates:* https://wolfr.am/coronavirus ---------- ![enter image description here][1] &[Wolfram Notebook][2] [1]: https://community.wolfram.com//c/portal/getImageAttachment?filename=4686Wuhan_Coronavirus_Outbreak_Jan29.gif&userId=95400 [2]: https://www.wolframcloud.com/obj/c2eafc69-4016-4e05-a8ad-b1d22a37379f Jofre Espigule-Pons 2020-01-29T02:18:52Z https://community.wolfram.com/groups/-/m/t/271501 Following the very nice blogpost on the: [Wolfram Blog][1] about Rosetta code, it would be very nice if we could expand---as a community---the number of solved tasks on the Rosetta code website for the [Mathematica Language][2]. The unsolved tasks for Mathematica can be found [here][3]. The number of tasks remaining is: - 145 (june 4th) - 141 (june 5th) - 133 (june 6th) - 130 (june 7th) - 128 (june 14th) - 125 (june 17th) - 120 (june 21st) - 119 (july 4th) Some of the tasks are very easy to implement; others are tricky and very hard (if not impossible). Just now, I solved a couple of problems: - [ABC Problem][4] - [Longest increasing subsequence][5] - [Ludic numbers][6] - [Maximum triangle path sum][7] - [Zebra Puzzle][8] I hope that we can solve some more problems and quickly reduce this number. Furthermore, I hope to start a lively discussion of problem solving and algorithm implementation. As you know, the Wolfram language is very broad and supports many paradigms, so many tasks can be implemented in multiple ways. You should strive to find the most elegant solution (short code, fast run-time). Some problems that should not be too hard to solve are: - [Parse an IP Address][9] - [Rep-string][10] SOLVED! Submitted. - [Nauticall bell][11] - [Word wrap][12] SOLVED! Submitted. (Thanks Marcus Risanger!) - [Fibonacci word fractal][13] SOLVED! Submitted. (Thanks Antonio Marquez-Raygoza!) The tasks that are not implemented can be found using: url="http://rosettacode.org/wiki/Reports:Tasks_not_implemented_in_Mathematica"; html=Import[url,"XMLObject"]; pos=Position[html,XMLElement["div",{"class"->"mw-content-ltr","dir"->"ltr","lang"->"en"},___]]; pos=First[pos]; data=Extract[html,pos]; pos=Position[data,XMLElement["li",{},{XMLElement["a",{"shape"->"rect","href"->_,"title"->x_},{x_}]}]]; data=Extract[data,pos]; data=data[[All,-1,-1,2]]; data={"title","href"}/.#&/@%; data[[All,2]]="http://rosettacode.org"<>#&/@data[[All,2]]; data=Hyperlink@@@data; data//Length data//Column Happy solving! P.S. If you solved a problem after reading this thread, please leave a comment :) [1]: http://blog.wolfram.com/2014/06/04/how-the-wolfram-language-measures-up/ [2]: http://rosettacode.org/wiki/Category:Mathematica [3]: http://rosettacode.org/wiki/Reports:Tasks_not_implemented_in_Mathematica [4]: http://rosettacode.org/wiki/ABC_Problem [5]: http://rosettacode.org/wiki/Longest_increasing_subsequence [6]: http://rosettacode.org/wiki/Ludic_numbers [7]: http://rosettacode.org/wiki/Maximum_triangle_path_sum [8]: http://rosettacode.org/wiki/Zebra_puzzle [9]: http://rosettacode.org/wiki/Parse_an_IP_Address [10]: http://rosettacode.org/wiki/Rep-string [11]: http://rosettacode.org/wiki/Nautical_bell [12]: http://rosettacode.org/wiki/Word_wrap [13]: http://rosettacode.org/wiki/Fibonacci_word/fractal Sander Huisman 2014-06-04T20:27:52Z https://community.wolfram.com/groups/-/m/t/2988390 A Wolfram U Daily Study Group previewing our upcoming Introduction to Multivariable Calculus course begins on Monday, September 11, 2023. Join me and a cohort of fellow enthusiasts to learn multivariable calculus from the ground up. Learn how to use Wolfram Language to understand and visualize vectors, dot and cross products, curves, surfaces and the differential and integral calculus that can be done once free from the confines of "the x-axis." The three-week span of this study group will allow a large number of topics to be covered, including vector operations, multivariable and vector functions, gradients, coordinate transformations, line integrals and the "three great theorems" that come out of multivariable vector calculus. ![enter image description here][1] The Introduction to Multivariable Calculus interactive course will soon be added to the Wolfram U catalog, and this Study Group offers early access to course lessons and resources. You will be able to participate in live Q&A, review your understanding through interactive in-session polls and even complete quizzes at the end of the study group to get a certificate of program completion. This Study Group runs September 11–29, 2023, 11am-12pm CT (4-5pm GMT). > [**REGISTER HERE**][2] Please use this thread to share ideas and questions about this material with your fellow learners. We have put a lot of work into this course, and look forward to seeing you online! ![enter image description here][3] [1]: https://community.wolfram.com//c/portal/getImageAttachment?filename=ScreenShot_2023-08-1117.12.51.png&userId=1711324 [2]: https://www.bigmarker.com/series/daily-study-group-intro-to-multivariable-calculus-wsg44/series_details?utm_bmcr_source=community [3]: https://community.wolfram.com//c/portal/getImageAttachment?filename=WolframUBanner.jpeg&userId=1711324 Arben Kalziqi 2023-08-11T22:33:01Z https://community.wolfram.com/groups/-/m/t/842698 NOTE: the actual APP that does some analysis of Shakespeare's "Romeo and Juliet" is located [**HERE**][1]. Please wait through a potential little load or evaluation times, it is computing ! ;-) Read below and through comments for many ideas on Shakespeare's data mining. [![enter image description here][2]][3] I also highly recommend reading recent related [blog by Jofre Espigule][4] and checking out his [Wolfram Cloud app][5] that does some social and linguistic visualizations of the Shakespeare's texts: [![enter image description here][6]][5] April 23, 2016 marks 400th anniversary of Shakespeare’s death. Just a few decades of life's work produced texts that fascinate humanity for already 400 years. This centuries-old fascination tells us Shakespeare's works highlight the perpetual social and cultural phenomena. And also that Shakespeare is a seldom genius, a true master of the written and spoken word. But have you ever thought that Shakespeare's texts can be deemed as data? Perhaps Emerging filed of digital humanities can tell us what to read between the lines. Modern technologies can provide a new insight into social networks of characters, semantic, statistical and other properties of corpus that is usually considered of only high artistic value. Is there a pattern in the art? **Could you think of data mining analysis or visualizations to apply to Shakespeare's works? Please share your thoughts! Dive with Wolfram technologies into infinite depths of Shakespeare's data.** EXAMPLE: Storyline ------- Imagine I would like to see in a few quick pictures how the dramatic development of events propagates through a play. I consider "Romeo and Juliet" and download full text as a string (lower-casing all words): romeojuliet = ToLowerCase[Import["http://shakespeare.mit.edu/romeo_juliet/full.html"]]; Now I will write a function `drama` that displays the **density** of a specific word in a play. It is done by indexing positions of words in the text and then running [SmoothKernelDistribution][7] algorithm hidden inside SmoothHistogram function that also plots the density: drama[keywords_List] := With[ {pos = StringPosition[romeojuliet, #][[All, 1]] & /@ keywords}, SmoothHistogram[pos, Frame -> None, BaseStyle -> White, PlotLegends -> Placed[keywords, {{.93, .8}}], AspectRatio -> 1/3, ImageSize -> 700, PlotTheme -> "Marketing", PlotStyle -> {Automatic, Automatic, Dashed, Dashed, Dashed}, Filling -> {1 -> {2}}, FillingStyle -> Directive[White, Opacity[.8]]]] And now with a few computations `drama` reads the play and announces the verdict with just 3 images. Visually we see clearly what was important as the time went by. The 3rd image of interplay between "love", "hate", "life", and "death" speaks the most. drama[{"romeo", "juliet", "life", "death"}] drama[{"romeo", "juliet", "love", "hate"}] drama[{"love", "hate", "life", "death"}] ![enter image description here][8] To make a cloud app, we need to modify function a bit and use [CloudDeploy][9]. dramaFORM[keywords_String] := Rasterize@Module[ {pos, leg, keys = TextWords[ToLowerCase[keywords]]}, leg = {"romeo", "juliet"}~Join~keys; pos = StringPosition[romeojuliet, #][[All, 1]] & /@ leg; SmoothHistogram[DeleteCases[pos, {} | {_Integer}], Frame -> None, PlotLegends -> Placed[leg, Bottom], AspectRatio -> 1/3, ImageSize -> 700, PlotTheme -> "Marketing", PlotStyle -> {Automatic, Automatic}~Join~Table[Dashed, {Length[leg] - 2}], Filling -> {1 -> {2}}, FillingStyle -> Directive[White, Opacity[.8]]]] CloudDeploy[FormFunction[{ "x" -> <|"Label" -> "", "Interpreter"->"String", "Hint"->"hint: love, death", "Help"->Style["type Shakespeare's words separated by spaces or comma, be patient, wait, behold ;-)",Italic]|>}, dramaFORM[#x]&, AppearanceRules-><| "Title" -> Grid[{{"Evolution of topics through Romeo & Juliet"},{Spacer[{10,5}]},{img}},Alignment->Center], "Description" -> "DETAILS: http://wolfr.am/RomeoJuliet "|>, FormTheme -> "Black"], "RomeoAndJuliet", Permissions->"Public"] EXAMPLE: Wordcloud ------------------ It is also interesting to know how modern society sees Shakespeare. The code below for the word cloud runs over Encyclopedia Britannica article about Shakespeare. text=Import["http://www.britannica.com/print/article/537853"]; base[w_]:=With[{tmp=WordData[w,"BaseForm","List"]}, If[(Head[tmp]===Missing)||tmp==={},w,tmp[[1]]]]; SetAttributes[base,Listable]; tst=Quiet[base[TextWords[StringDelete[DeleteStopwords[ToLowerCase[text]],DigitCharacter..]]]]; blackLIST={"shakespeare","william","th","iii","iv","vi"}; WordCloud[DeleteCases[DeleteCases[tst,_First],Alternatives@@blackLIST], WordOrientation->{{-\[Pi]/4,\[Pi]/4}},AspectRatio->1/3, ScalingFunctions->(#^.01&),ImageSize->800] ![enter image description here][10] DATA & CODE SOURCES: -------------------- - [William Shakespeare Plays][11] - [Wolfram Demonstrations][12] - [The Complete Works of William Shakespeare, MIT][13] - [Open Source Shakespeare][14] [at0]: http://community.wolfram.com/web/jofreep [1]: https://www.wolframcloud.com/objects/vitaliyk/RomeoAndJuliet [2]: http://community.wolfram.com//c/portal/getImageAttachment?filename=2016-04-22_05-56-43.png&userId=11733 [3]: https://www.wolframcloud.com/objects/vitaliyk/RomeoAndJuliet [4]: http://blog.wolfram.com/2016/04/21/analyzing-shakespeares-texts-on-the-400th-anniversary-of-his-death/ [5]: https://www.wolframcloud.com/objects/jofree/Othello [6]: http://community.wolfram.com//c/portal/getImageAttachment?filename=2016-04-24_16-50-23.png&userId=11733 [7]: http://reference.wolfram.com/language/ref/SmoothKernelDistribution.html [8]: http://community.wolfram.com//c/portal/getImageAttachment?filename=sdfr45wtrhgfdasaf.png&userId=11733 [9]: http://reference.wolfram.com/language/ref/CloudDeploy.html [10]: http://community.wolfram.com//c/portal/getImageAttachment?filename=sadfsdgshdt5342.png&userId=11733 [11]: https://datahub.io/dataset/william-shakespeare-plays [12]: http://demonstrations.wolfram.com/search.html?query=shakespeare [13]: http://shakespeare.mit.edu/ [14]: http://www.opensourceshakespeare.org/ Vitaliy Kaurov 2016-04-20T17:19:46Z https://community.wolfram.com/groups/-/m/t/2504513 A new study group on the topic "A Guide to Programming and Mathematics with the Wolfram Language" will begin soon. Join a cohort of fellow learners and expand your understanding of core programming topics as well as symbolic and applied mathematics functionality in the Wolfram Language with lessons by veteran instructor and developer [David Withoff][1]. A basic working knowledge of the Wolfram Language or introductory-level skill in any programming language is recommended. April 18–May 6 11am–12pm US CT (4–5pm GMT) [**REGISTER HERE**][2] ![enter image description here][3] [1]: https://www.wolfram.com/wolfram-u/instructors/withoff.html [2]: https://www.bigmarker.com/series/daily-study-group-a-guide-to-programming-and-mathematics/series_details?utm_bmcr_source=community [3]: https://community.wolfram.com//c/portal/getImageAttachment?filename=WolframUBanner.jpeg&userId=130003 Abrita Chakravarty 2022-04-06T14:49:11Z