Канал: Data Umbrella

[106] RAGged Edge Box: A Personal AI-Powered Document Search System (Pablo Duboue)

[106] RAGged Edge Box: A Personal AI-Powered Document Search System (Pablo Duboue)

[105] Polars for Data Analysis in Python (Kimberly Fessel)

[105] Polars for Data Analysis in Python (Kimberly Fessel)

[104] Best Practices for Creating a Data Science Team (Clair Sullivan)

[104] Best Practices for Creating a Data Science Team (Clair Sullivan)

[103] Why Knowledge Graphs Are Hot Right Now (Amy E. Hodler)

[103] Why Knowledge Graphs Are Hot Right Now (Amy E. Hodler)

[102] Visualizing Energy Transitions (Exploring Climate Change) (Cutler J Cleveland)

[102] Visualizing Energy Transitions (Exploring Climate Change) (Cutler J Cleveland)

[101] Build Your First Database Web App with Tiki Trackers (open source) (Marc Laporte)

[101] Build Your First Database Web App with Tiki Trackers (open source) (Marc Laporte)

[100] Navigating Ethical Data Science: GDPR, EU AI Act & Responsible Practice (Cecilia Dones)

[100] Navigating Ethical Data Science: GDPR, EU AI Act & Responsible Practice (Cecilia Dones)

[99] Build with Gemini (an LLM model) (Anna Nerezova)

[99] Build with Gemini (an LLM model) (Anna Nerezova)

[98] Intro to Bash Scripting (Rebecca BurWei)

[98] Intro to Bash Scripting (Rebecca BurWei)

[97] A Briefer History of Open Source (Juan Luis Cano Rodríguez)

[97] A Briefer History of Open Source (Juan Luis Cano Rodríguez)

[96] Sneak Peek at Penpot 2.0 (the open source design tool) (Pablo Ruiz-Múzquiz)

[96] Sneak Peek at Penpot 2.0 (the open source design tool) (Pablo Ruiz-Múzquiz)

[95] What is Machine Learning Security Anyway? (Joseph Lucas)

[95] What is Machine Learning Security Anyway? (Joseph Lucas)

PyGotham 2023 Keynote: Let's Talk Community (Reshama Shaikh)

PyGotham 2023 Keynote: Let's Talk Community (Reshama Shaikh)

[94] Intro to the Linux Operating System (Nicholas Luwazo Kyanda)

[94] Intro to the Linux Operating System (Nicholas Luwazo Kyanda)

[93] Model Risk Management Best Practices for Data Science (Alejandro Gomez)

[93] Model Risk Management Best Practices for Data Science (Alejandro Gomez)

[92] Intro to Figma for Data and Applications (+ penpot, the open source design tool)

[92] Intro to Figma for Data and Applications (+ penpot, the open source design tool)

[91] Exploring the Open Source Landscape in Australia (Sae Ra Germaine)

[91] Exploring the Open Source Landscape in Australia (Sae Ra Germaine)

[90] Intro to OpenRefine for Data Cleaning and Reconciliation (Martin Magdinier)

[90] Intro to OpenRefine for Data Cleaning and Reconciliation (Martin Magdinier)

[89c] Debugging in Python: in Visual Studio Code (VSC) (Juan Luis Cano Rodríguez)

[89c] Debugging in Python: in Visual Studio Code (VSC) (Juan Luis Cano Rodríguez)

[89b] Debugging in Python: in Jupyter Notebook (Juan Luis Cano Rodríguez)

[89b] Debugging in Python: in Jupyter Notebook (Juan Luis Cano Rodríguez)

[89a] Debugging in Python (Juan Luis Cano Rodríguez)

[89a] Debugging in Python (Juan Luis Cano Rodríguez)

[88] An Overview of Information Security (Zoe Braiterman)

[88] An Overview of Information Security (Zoe Braiterman)

Community chat: with Yanina Bellini Saibene

Community chat: with Yanina Bellini Saibene

Community chat: with Mariatta Wijaya

Community chat: with Mariatta Wijaya

[87] Blockchains for Open Source Solutions (Fabian Owuor)

[87] Blockchains for Open Source Solutions (Fabian Owuor)

[86] Lessons from COVID-19: Non-random Missing Data and Its Consequences (Mitzi Morris)

[86] Lessons from COVID-19: Non-random Missing Data and Its Consequences (Mitzi Morris)

[LC-03] Live Coding: Codespaces setup (Events Board)

[LC-03] Live Coding: Codespaces setup (Events Board)

[85] Machine Learning Visualization Using Yellowbrick (Kavengi Kitonga)

[85] Machine Learning Visualization Using Yellowbrick (Kavengi Kitonga)

Community chat: with Beryl Kanali

Community chat: with Beryl Kanali

[LC-02] Live Coding: debugging dev environment setup (Events Board)

[LC-02] Live Coding: debugging dev environment setup (Events Board)

[84] Reproducible Publications with Python and Quarto (Thomas Mock)

[84] Reproducible Publications with Python and Quarto (Thomas Mock)

[LC-01] Live Coding: environment setup (Events Board)

[LC-01] Live Coding: environment setup (Events Board)

[83] From Vicuna to Human-aligned Evaluation: Comparing Open Source Large Language Models

[83] From Vicuna to Human-aligned Evaluation: Comparing Open Source Large Language Models

[82] Intro to FluxML and Machine Learning in Julia (Kyle Daruwalla)

[82] Intro to FluxML and Machine Learning in Julia (Kyle Daruwalla)

[81] An Introduction to ImageIO (Sebastian Wallkötter)

[81] An Introduction to ImageIO (Sebastian Wallkötter)

[80] Solving NLP (Natural Language Processing) Tasks Using Chat GPTs & LLMs (Large Language Models)

[80] Solving NLP (Natural Language Processing) Tasks Using Chat GPTs & LLMs (Large Language Models)

[79] Create a Python Web App Using Shiny (Gordon Shotwell)

[79] Create a Python Web App Using Shiny (Gordon Shotwell)

[78] MLOps: from Concept to Product (Sandra Yojana Meneses)

[78] MLOps: from Concept to Product (Sandra Yojana Meneses)

Getting Started with Open Source (Beryl Kanali) (PyCon Ghana 2022)

Getting Started with Open Source (Beryl Kanali) (PyCon Ghana 2022)

[77] Data-Driven Mathematical Optimization in Pyomo (Jeffrey C Kantor)

[77] Data-Driven Mathematical Optimization in Pyomo (Jeffrey C Kantor)

[76] Using Gitpod to Contribute to PyMC (Reshama Shaikh)

[76] Using Gitpod to Contribute to PyMC (Reshama Shaikh)

[75] What is a Sales Engineer? (Estela Baca)

[75] What is a Sales Engineer? (Estela Baca)

[74] Bayesian Data Analysis with BRMS (Bayesian Regression Models Using Stan) (Mitzi Morris)

[74] Bayesian Data Analysis with BRMS (Bayesian Regression Models Using Stan) (Mitzi Morris)

[73] Google Summer of Code (GSOC) Experience

[73] Google Summer of Code (GSOC) Experience

[72] How You Can Contribute to pandas (Marco Gorelli)

[72] How You Can Contribute to pandas (Marco Gorelli)

[71] Land Your First Data Science Job

[71] Land Your First Data Science Job

[70] Contributing to ArviZ and Open Source: Social and Technical Sides (Oriol Abril Pla)

[70] Contributing to ArviZ and Open Source: Social and Technical Sides (Oriol Abril Pla)

[69] Tutorial on Intro to Rust Programming (Bruno Rocha)

[69] Tutorial on Intro to Rust Programming (Bruno Rocha)

[68] A Bioimage Data Analysis Workflow with scikit-image (Marianne Corvellec)

[68] A Bioimage Data Analysis Workflow with scikit-image (Marianne Corvellec)

[67] An Overview of 3D Image Processing Using scikit-image (Alex de Siqueira)

[67] An Overview of 3D Image Processing Using scikit-image (Alex de Siqueira)

[66] How to Make Open Source Contributions to fastai (Hamel Husain)

[66] How to Make Open Source Contributions to fastai (Hamel Husain)

[65] Machine Learning in JavaScript: An Introduction to TensorFlowJS (Shivay Lamba)

[65] Machine Learning in JavaScript: An Introduction to TensorFlowJS (Shivay Lamba)

[64] How to Build Your Personal Brand with Your Customer in Mind (Liliana Petrova)

[63] Software Testing in Open Source and Data Science (Eric Ma)

[63] Software Testing in Open Source and Data Science (Eric Ma)

[62] Software Engineering for Probabilistic Programming (Mitzi Morris)

[62] Software Engineering for Probabilistic Programming (Mitzi Morris)

[61c] React Tutorial Part 3: React Fundamentals, Build Your First React Front-end Application

[61c] React Tutorial Part 3: React Fundamentals, Build Your First React Front-end Application

[61b] React Tutorial Part 2: JavaScript, Node.js

[61b] React Tutorial Part 2: JavaScript, Node.js

[61a] React Tutorial Part 1: Background

[61a] React Tutorial Part 1: Background

[60] API Tutorial: Building APIs with FastAPI (Abdulazeez Abdulazeez Adeshina)

[60] API Tutorial: Building APIs with FastAPI (Abdulazeez Abdulazeez Adeshina)

[59] PyTorch Tutorial: Serving PyTorch Models in Production (Nidhin Pattaniyil)

[59] PyTorch Tutorial: Serving PyTorch Models in Production (Nidhin Pattaniyil)

Contributing to Open Source (Gloria Macia) (PyData London 2022)

Contributing to Open Source (Gloria Macia) (PyData London 2022)

[58] How Data Scientists Can Contribute to Wikimedia Projects (Emily Lescak & Diego Saez-Trumper)

[58] How Data Scientists Can Contribute to Wikimedia Projects (Emily Lescak & Diego Saez-Trumper)

[57] Inspirational Tips on Contributing to Open Source (Mariatta Wijaya)

[57] Inspirational Tips on Contributing to Open Source (Mariatta Wijaya)

[56] Stories of Data Visualization with Observable (Tereza Iofciu)

[56] Stories of Data Visualization with Observable (Tereza Iofciu)

[55c] Django Tutorial Part 3: Building Your First Django Application (Joe Torreggiani)

[55c] Django Tutorial Part 3: Building Your First Django Application (Joe Torreggiani)

[55b] Django Part 2: Intro to Web Development Frameworks (Joe Torreggiani)

[55b] Django Part 2: Intro to Web Development Frameworks (Joe Torreggiani)

[55a] Django Part 1: Python for Beginners (Joe Torreggiani)

[55a] Django Part 1: Python for Beginners (Joe Torreggiani)

[54] Contributing to SciPy (Melissa Weber Mendonça)

[54] Contributing to SciPy (Melissa Weber Mendonça)

[53c] Q&A: Sebastian Raschka & Adrian Wälchli (PyTorch, LightningLite)

[53c] Q&A: Sebastian Raschka & Adrian Wälchli (PyTorch, LightningLite)

[53b] Scaling Up with LightningLite (Adrian Wälchli)

[53b] Scaling Up with LightningLite (Adrian Wälchli)

[53a] Intro to PyTorch Tutorial (Sebastian Raschka)

[53a] Intro to PyTorch Tutorial (Sebastian Raschka)

[52] Intro to GraphQL for Data Scientists (William Lyon)

[52] Intro to GraphQL for Data Scientists (William Lyon)

[51] Editing Wikipedia: Because Someone Has to... (Rob Lanphier)

[51] Editing Wikipedia: Because Someone Has to... (Rob Lanphier)

[50] Introduction to Holoviz (Julia Signell)

[50] Introduction to Holoviz (Julia Signell)

[49] Create a Free Data Blog with Jekyll & GitHub Pages (Lauren Burke)

[49] Create a Free Data Blog with Jekyll & GitHub Pages (Lauren Burke)

[48] Arrays, Linked Lists and Graphs (Clair Sullivan)

[48] Arrays, Linked Lists and Graphs (Clair Sullivan)

[47] Build a Dashboard with Python Plotly Dash (Laura Gutierrez Funderburk)

[47] Build a Dashboard with Python Plotly Dash (Laura Gutierrez Funderburk)

[46] Geospatial Data and Maps with Python (Christy Heaton)

[46] Geospatial Data and Maps with Python (Christy Heaton)

Women's History Month Series of Events: March 2022

Women's History Month Series of Events: March 2022

[45] Contributing to PyMC Documentation (Oriol Abril Pla)

[45] Contributing to PyMC Documentation (Oriol Abril Pla)

[44] An Example Pull Request to PyMC (Reshama Shaikh)

[44] An Example Pull Request to PyMC (Reshama Shaikh)

[43] Contributing to PyMC (Ricardo Vieira)

[43] Contributing to PyMC (Ricardo Vieira)

[42] GitHub Actions Tutorial: Learn to Automate Workflows (Gonzalo Peña-Castellanos)

[42] GitHub Actions Tutorial: Learn to Automate Workflows (Gonzalo Peña-Castellanos)

[41] Intro to Probabilistic Programming with PyMC (Austin Rochford)

[41] Intro to Probabilistic Programming with PyMC (Austin Rochford)

[40] Intro to NumPy Array Operations (Meenal Jhajharia)

[40] Intro to NumPy Array Operations (Meenal Jhajharia)

[39] Pipelines in Jupyter with Ploomber (Eduardo Blancas)

[39] Pipelines in Jupyter with Ploomber (Eduardo Blancas)

[38] R vs Python for Data Science (Ian Flores Siaca)

[38] R vs Python for Data Science (Ian Flores Siaca)

[37] Visualize Your Pandas Dataframe with Zero Effort with Lux (Doris Lee)

[37] Visualize Your Pandas Dataframe with Zero Effort with Lux (Doris Lee)

[36] Intro to Unit Testing and Continuous Integration (Mariatta Wijaya)

[36] Intro to Unit Testing and Continuous Integration (Mariatta Wijaya)

[35] Live Share with Visual Studio Code

[35] Live Share with Visual Studio Code

[34] Taking the Edge Off of Data Science with dabl (Andreas Mueller)

[34] Taking the Edge Off of Data Science with dabl (Andreas Mueller)

[33] COVID-19 R Dashboard in Production (Rami Krispin)

[33] COVID-19 R Dashboard in Production (Rami Krispin)

[32] When Quitting is Good (Coonoor Behal)

[32] When Quitting is Good (Coonoor Behal)

[31] Get to Know Bokeh for Visualizing Data (Brendan Collins)

[31] Get to Know Bokeh for Visualizing Data (Brendan Collins)

[30] Modern Time Series Analysis with STUMPY (Sean Law)

[30] Modern Time Series Analysis with STUMPY (Sean Law)

[29] Jupyter Notebook & Data Analysis with Pandas Tutorial (Sam Bail)

[29] Jupyter Notebook & Data Analysis with Pandas Tutorial (Sam Bail)

[28] Excel for Data Analysts (Elizabeth DiLuzio)

[28] Excel for Data Analysts (Elizabeth DiLuzio)

[27] 3 Components of Reviewing a Pull Request (scikit-learn) (Thomas Fan)

[27] 3 Components of Reviewing a Pull Request (scikit-learn) (Thomas Fan)

[26b] Demo on Accessing IRSA astronomy data (Luisa Rebull)

[26b] Demo on Accessing IRSA astronomy data (Luisa Rebull)

[26a] Astronomy Data & Image Processing (Luisa Rebull)

[26a] Astronomy Data & Image Processing (Luisa Rebull)

[25] Intuitive Bayesian Modeling and Computation with PyMC in Python (Oriol Abril Pla)

[25] Intuitive Bayesian Modeling and Computation with PyMC in Python (Oriol Abril Pla)

[24] Wonderful World of Data Quality in Python (Sam Bail)

[24] Wonderful World of Data Quality in Python (Sam Bail)

[23] Building a Political Census with Placekey (Ryan Kruse)

[23] Building a Political Census with Placekey (Ryan Kruse)

[05] Intro to Using Data Umbrella Discord Server (Reshama Shaikh)

[05] Intro to Using Data Umbrella Discord Server (Reshama Shaikh)

[22] Sphinx for Python Documentation Tutorial (Melissa Weber Mendonça)

[22] Sphinx for Python Documentation Tutorial (Melissa Weber Mendonça)

[21] Command Line Focused Development Environment (Nick Janetakis)

[21] Command Line Focused Development Environment (Nick Janetakis)

[20] Contributing to pandas (Marco Gorelli)

[20] Contributing to pandas (Marco Gorelli)

[19] NumPy: Its History, Governance & How to Contribute (Matti Picus)

[19] NumPy: Its History, Governance & How to Contribute (Matti Picus)

[18] Streamlit for Data Science (Thomas Fan)

[18] Streamlit for Data Science (Thomas Fan)

[17] Contributing to Core Python (Carol Willing)

[17] Contributing to Core Python (Carol Willing)

[16] Data Science and ML at Scale with Dask (Hugo Bowne-Anderson)

[16] Data Science and ML at Scale with Dask (Hugo Bowne-Anderson)

[15] Data Visualization with Plotly in Python (Emma Gouillart)

[15] Data Visualization with Plotly in Python (Emma Gouillart)

[14] 3 Lessons From 3 Years of Data Science (Megan Robertson)

[14] 3 Lessons From 3 Years of Data Science (Megan Robertson)

[13] Create Nimble Data Collection + Reporting Processes (Elizabeth DiLuzio)

[13] Create Nimble Data Collection + Reporting Processes (Elizabeth DiLuzio)

[12] Building a Conversational Bot for WhatsApp w/Twilio & Python (Mridu Bhatnagar)

[12] Building a Conversational Bot for WhatsApp w/Twilio & Python (Mridu Bhatnagar)

[11] kdb Time Series Database (Rebecca Kelly)

[11] kdb Time Series Database (Rebecca Kelly)

[10] Build a Career in Data Science (Emily Robinson)

[10] Build a Career in Data Science (Emily Robinson)

[09] Intro to Terminal (Sam Bail)

[09] Intro to Terminal (Sam Bail)

[03] Scraping Poshmark with Beautiful Soup in Python (Ty Shaikh)

[03] Scraping Poshmark with Beautiful Soup in Python (Ty Shaikh)

[08] Doing Data Science with Missing Data (Matt Brems)

[08] Doing Data Science with Missing Data (Matt Brems)

[07] How Would Sherlock Holmes Fix Bad Data? (Shailvi Wakhlu)

[07] How Would Sherlock Holmes Fix Bad Data? (Shailvi Wakhlu)

Data Umbrella: First Online scikit-learn Sprint

Data Umbrella: First Online scikit-learn Sprint

[06] Contributing to scikit-learn: An Example Pull Request (Reshama Shaikh)

[06] Contributing to scikit-learn: An Example Pull Request (Reshama Shaikh)

[04] Navigating Your Tech Career (Ali Spittel)

[04] Navigating Your Tech Career (Ali Spittel)