rtedwards/data-science-tools

A list of resources and tools for data science and workstation setup

data-science-tools

A list of resources and tools for data science and workstation setup

🖥️ Shells

🔨 Bash

• bash improvements

🐟 Fish

• fish shell
• 🚀🐟 The fish shell prompt for astronauts
• space fish
• starship
  • Successor to Space Fish
• Node version manager wrapper for Fish shell

⌨️ VIM

• Learn vim for the First and Last Time
• VIM Cheat Sheet

Introductary Technology Tutorials

• Ryan's Tutorials
  • Linux
  • Bash Scripting
  • Regular Expressions
  • Software Design & Development
  • Graphic Design

📋 SQL

• 📖Learning SQL

Exercises

• PostgreSQL Exercises
• Learn SQL

🐍 Python

• Automate the Boring Stuff
• Effective Python
• Modern Pandas:
  • 1. Intro
  • 2. Method Chaining
  • 3. Indexes
  • 4. Fast Pandas
  • 5. Tidy Data
  • 6. Visualization
  • 7. Time Series
  • 8. Scaling

📖 Books

• Fluent Python

💻 Blogs

• Practical Business Python
• GWOSC
• Mouse vs. Python

⚡ Spark

• Learn Apache Spark
• Spark: The Definitive Guide A follow up to Learning Spark.
• Advanced Analytics with Spark A great Spark book focusing on data science.
• Learning PySpark A great book on starting with Apache Spark.
• Official Spark Documentation

📊 Machine Learning

• Sci-Kit Learn Documentation Scikit Learn is a general machine learning library built on top of NumPy. It features a lot of utilities for general pre and post-processing of data. It is a library in Python used to construct traditional models.

🤖 Deep Learning

Tensorflow is the most famous library in production for deep learning models. Offers automatic differentiation to perform backpropagation smoothly, allowing you to literally build any machine learning model literally. Keras is a high-level API built on Tensorflow. It is user-friendly and helps quickly build and test a neural network with minimal lines of code. Like building simple or complex neural networks within a few minutes. Modular since everything in Keras can be represented as modules.

• Tensorflow Tutorial
• Keras Documentation