Trenton J. McKinney's repositories
Excel_Automation_with_Python
Automate Excel with Python
stack_overflow
solutions to stack overflow questions
ISLR-python
An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code
PythonDataScienceHandbook
Python Data Science Handbook: full text in Jupyter Notebooks
ClassicComputerScienceProblemsInPython
Source Code for the Book Classic Computer Science Problems in Python
grokking_algorithms
Code for the book Grokking Algorithms (http://manning.com/bhargava)
Blog-Posts
Companion repository for https://trenton3983.github.io/ featuring Jupyter notebooks and code samples supporting blog posts on data science, data visualization, and Python programming.
Dungeons_and_Dragons
D&D spells below 5th edition; List of dicts from 2nd edition spell compendiums
elegant-scipy
1st Edition of Elegant SciPy (O'Reilly Publishers)
elements-of-python-style
Goes beyond PEP8 to discuss what makes Python code feel great. A Strunk & White for Python.
handson-ml
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
ipython-in-depth
IPython in-depth Tutorial, first presented at PyCon 2012
ISLP_labs
Labs from An Introduction to Statistical Learning with Applications in Python
mastering-pycharm-course
Course demos and handouts for Talk Python's Mastering PyCharm course
Portland_Data_Science_Group
Portland Data Science Group Projects
Primer_Scientific_Programming
Files for A Primer on Scientific Programming with Python (4th) by H.P. Langtangen
pydata-book
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
python-jumpstart-course-demos
Contains all the "handout" materials for my Python Jumpstart by Building 10 Apps course. This includes try it yourself and finished versions of the 10 apps.
seaborn-data
Data repository for seaborn examples