The DMitch Data Analysis List

A curated list of links related to data analysis in python

Topics

• URLs to Selected Libraries
• Visualization Libraries
• Data Sources
• Money
• Python versus XXX
• Data Science and ML Blogs
• Learning and Educational
• Tutorial Notebooks From Github

URLs to Selected Libraries

• numpy - NumPy is the fundamental package for scientific computing with Python.
• scipy - SciPy (pronounced “Sigh Pie”) is a Python-based ecosystem of open-source software for mathematics, science, and engineering.
• pandas - pandas is an open source, BSD-licensed library providing high-performance, easy-to-use data structures and data analysis tools for the Python programming language.
• statistics - Builtin Python library for all basic statistical calculations
• sympy - SymPy is a Python library for symbolic mathematics.
• pymc3 - Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Theano
• ARCH - ARCH models in Python
• statsmodels - Python module that allows users to explore data, estimate statistical models, and perform statistical tests.

Visualization Libraries

• Matplotlib - The infamous port of the Matlab visualization libs
• Seaborn - A more modern interface and look over Matplotlib
• Plotly - Often thought of as just an online service but also works through Jupyter

Data Sources

• Awesome Public Datasets - truly awesome

Money

• 2016 Data Scientist Salary Survey - from O'Reilly

Python versus XXX

• R vs Python: Shrin Glander - Side by Side comparison
• R vs Python for Data Science - from kdnuggets.com
• Python vs Matlab - from a python developer's point of view

Data Science And ML Blogs

• Analytics Vidhya - _
  • Essentials of ML Algorithms - Python and R
  • Tutorial to Learn Data Science with Python - xpost with Educational
• Data Science Central - perform technical analysis of financial market data
  • ML, Data Science, AI, Deep Learnings, and Stats - post by Vincent Granville
  • 9 Python Analytics Libraries - post by Vincent Granville
• Python packages for Data Science - extended list
• 10 things about Juypter Notebooks - presentation and code
• Mode Analytics Blog
• Practical Business Python
• Towards Data Science - General repository of short to medium length articles covering a broad set of topics
• Data Skeptic Podcast - Great podcast with long form discussion and short form intro episodes
• Software Engineering Daily Podcast - Covers many areas of Software, much of it focused on ML related technologies

Learning And Educational

• Python Crash Course - Links to a range of python cheatsheets.
• How to learn Python - Commentary and Links.
• Markdown Cheatsheet - Format your code better. Another cheatersheet here
• Data Cleaning -Clean data using pandas and Jupyter notebook by Karrie Kehoe. Additional material here and here
• Explanatory Data Analysis -EDA 101
• Past PyData Conferences - up to 2016 as compiled by Rohit Sivaprasad
• Pandas Exercises for Data Analysis
• Pandas for Excel Super Users
  
  
• Data Science Terms Explained - from kdnuggets.com
• Book: Quant Equity Investing - by Frank Fabozzi et.al. via James Carl
• Book: The Field Guide to Data Science - by Booz Allen
• Course: Google's Python Class
• Course: Foundations of Data Science - offered by UC Berkeley (free and open source)
• Course: Andrew Ng's Machine Learning - The original course, taking you from Linear regression through to an intro to Deep Nets
• Course: Andrew Ng's Deep Learning Specialization - 5 courses covering Deep Neural Nets

Tutorial Notebooks From Github

• Vander Plas: Python Data Science Handbook - Youtube video link:
• Fonnesback: Statistical analysis in python - Youtube video link
• Caudron: Statistical analysis in python - Youtube video link
• Practical Business Python