README.md

The Data Scientist's Compendium

A curated selection of resources for data science. This collection includes books, tools, cheatsheets and guides I've found relevant, organized by topic for easy reference.

📚 Table of Contents

1. Books
2. Tools
3. Cheatsheets
4. Other Content

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📖 Books

• Python and Data Science:

  • Python Data Science Handbook: A comprehensive guide to data science in Python, including machine learning.
  • Data Science Topics: A detailed, code-focused book with examples and snippets.

• Causal Inference:

  • Causal Inference for The Brave and True: A hands-on guide to causal inference using Python.
  • Causal Inference: What If (the book): Covers STATA, Python, and R (also SAS and Julia).
  • Applied Causal Inference Powered by ML and AI: An introduction to the emerging fusion of machine learning and causal inference.

• Machine Learning:

  • Reinforcement Learning: An Introduction: By the father of RL and his advisor.
  • Hands-on Machine Learning with Scikit-Learn, Keras, and TensorFlow (Code Examples)
  • Introduction to Machine Learning with Python (Code Examples)

• Big Data:

  • Learning Spark: Lightning-Fast Data Analytics

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🔨 Tools

• Data Visualization:

  • Plotly
  • Bokeh: Includes dashboard building.
  • Altair
  • From Data to Viz: A tool to help you choose the most appropriate graph for your data, with source code in Python.
  • Python Graph Gallery: A gallery of Python-based visualization examples.
  • Datawrapper: A drag-and-drop tool for building graphs with ease.

• Geospatial Analysis:

  • Geopy
  • Geopandas
  • Shapely

• Machine Learning:

  • Darts: A comprehensive time series forecasting library.

• Web App Deployment:

  • Streamlit: A library to easily create web applications in Python.
  • Heroku: A platform for deploying your applications on the web.
  • Flask: A lightweight WSGI web application framework in Python that allows you to build web applications quickly and easily.

• Big Data:

  • Spark SQL, DataFrames and Datasets Guide (Official)

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🙈 Cheatsheets

• Shell
• Markdown
• Python - Regular Expressions
• STATA
• SQL Keywords
• SQL Style Guide
• Git
• PySpark

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📦 Other Content

🎓 General Guides & Resources

• Python and other languages:

  • W3 Schools: A great source for simple, editable code examples with excellent explanations.
  • Geeks for Geeks: A comprehensive resource for learning about computer science and programming concepts, with tutorials, problem sets, and quizzes.
  • Awesome List: A comprehensive list of computer science resources.
  • Project Based Learning: Tutorials for building applications from scratch in various languages.
  • Open Source Society University: A self-taught path to a free education in Computer Science.
  • Developer Roadmaps: diagrams with selected resources for each topic (for instance, machine learning); helps to organize the concepts and provide studying materials.

• Machine Learning:

  • mlcourse.ai: open machine learning course.
  • Harvard CS181: Machine Learning: resources from Harvard's machine learning course.
  • Stanford CS229: resources from Stanfords's machine learning course.
  • Stanford CS231: Convolutional Neural Networks for Visual Recognition
  • Machine Learning Mastery: An extensive resource covering both theory and practice.
  • MLOps Principles: Key principles for machine learning operations.

• Data Visualization:

  • The Data Visualisation Catalogue: A non-code-based library of various visualization types with some links to code examples.
  • FlowingData: Non-code-based tips and suggestions for working with and designing data visualizations.
  • Visual Vocabulary: Helps you decide which data relationship is most important in your data story.
  • WTF Visualizations: Examples of poorly designed visualizations that can lead to misinformation.

• Big Data:

  • Spark by Examples: A comprehensive guide to PySpark based on examples.

💽 Data Sources

• APIs & Databases: AnyAPI
• World Data:
  • Gapminder
  • Our World in Data
• Nutrition Data: Nutritionix: The world’s largest verified nutrition database.