awesome-pandas

A collection of resources for pandas (Python) and related subjects.

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pandas resources

Videos

snake: - Little programming 🐍 🐍 Some programming 🐍 🐍 🐍 -Advanced

Title	Speaker	Uploader	Duration	Views	Keywords	Year	Level
How to become a Data Scientist in 6 months	Tetiana Ivanova	PyData	0:56	148000	misc	2016	🐍
Introduction Into Pandas	Daniel Chen	Python Tutorial	1:28	46000	pandas	2017	🐍
So you want to be a Python expert?	James Powell	PyData	1:54	28000	python	2017	🐍🐍🐍
NumPy Beginner [repo]	Alexandre Chabot LeClerc	Enthought	2:47	56000	NumPy	2016	🐍 🐍
Introduction To Data Analytics With Pandas	Quentin Caudron	Python Tutorial	1:51	25000	pandas	2017	🐍
Transforming Code into Beautiful, Idiomatic Python	Raymond Hettinger	Next Day Video	0:48	340000	python	2013	🐍
Machine Learning	Andreas Mueller & Sebastian Raschka	Enthought	3:03	47000	sklearn	2016	🐍 🐍
Pandas From The Ground Up [repo]	Brandon Rhodes	PyCon 2015	2:24	91000	pandas	2015	🐍 🐍
Modern Dictionaries	Raymond Hettinger	SF Python	1:07	44000	python	2016	🐍 🐍
The Python Visualization Landscape	Jake VanderPlas	PyCon 2017	0:33	21000	python	2017	🐍
Keynote on Concurrency	Raymond Hettinger	SF Python	1:13	15000	python	2017	🐍🐍
Pandas for Data Analysis [repo]	Daniel Chen	Enthought	3:45	13000	pandas	2017	🐍🐍
JupyterLab: Building Blocks for Interactive Computing	Brian Granger	Enthought	0:29	28000	jupyter	2016	🐍
Optimizing Pandas Code for Speed and Efficiency	Sofia Heisler	PyCon 2017	0:29	12000	pandas	2017	🐍 🐍
A Visual Guide To Pandas	Jason Wirth	Next Day Video	0:26	49000	pandas	2015	🐍
Machine Learning with Scikit Learn [repo]	Andreas Mueller & Kyle Kastner	Enthought	3:22	48000	sklearn	2015	🐍 🐍
Machine Learning for Time Series Data in Python	Brett Naul	Enthought	0:24	24000	cesium	2016	🐍
The Fun of Reinvention	David Beazley	David Beazley	0:52	11000	python	2017	🐍🐍🐍
Analyzing and Manipulating Data with Pandas [repo]	Jonathan Rocher	Enthought	3:33	22000	pandas	2016	🐍
Computational Statistics [repo]	Allen Downey	Enthought	2:05	10000	scipy	2017	🐍 🐍
Being a Core Developer in Python	Raymond Hettinger	SF Python	1:02	19000	python	2016	🐍
Time Series Analysis [repo]	Aileen Nielsen	PyCon 2017	3:11	9000	pandas	2017	🐍 🐍
Learning TensorFlow	Robert Layton	PyCon Australia	0:40	18000	tensorflow	2016	🐍 🐍
JupyterHub: Deploying Jupyter Notebooks	Min Ragan Kelley & Thomas Kluyver	PyData	1:36	17000	jupyter	2016	🐍
Applied Time Series Econometrics	Jeffrey Yau	PyData	1:39	17000	statsmodels	2016	🐍 🐍
Machine Learning with scikit learn [repo]	Andreas Mueller & Alexandre Gram	Enthought	3:10	8000	sklearn	2017	🐍 🐍
Introduction to Numerical Computing with NumPy	Dillon Niederhut	Enthought	2:27	8000	NumPy	2017	🐍
Matthew Rocklin Dask A Pythonic Distributed Data Science Framework PyCon 2017 - YouTube	NAME	PyCon 2017	DURATION	7000	None	2017	Novice
Christopher Fonnesbeck - Introduction to Statistical Modeling with Python - PyCon 2017 - YouTube	NAME	PyCon 2017	DURATION	7000	None	2017	Novice
Fully Convolutional Networks for Image Segmentation SciPy 2017 Daniil Pakhomov - YouTube	NAME	Enthought	DURATION	7000	None	2017	Novice
Chloe Mawer, Jonathan Whitmore - Exploratory data analysis in python - PyCon 2017 - YouTube	NAME	PyCon 2017	DURATION	7000	None	2017	Novice
Christopher Roach Visualizing Geographic Data With Python - YouTube	NAME	PyData	DURATION	14000	None	2016	Novice
Builtin Superheroes (Screencast) - YouTube	NAME	David Beazley	DURATION	12000	None	2016	Novice
Python’s Class Development Toolkit - YouTube	NAME	Next Day Video	DURATION	80000	None	2013	Novice
Sebastian Raschka Learning scikit learn - An Introduction to Machine Learning in Python - YouTube	NAME	PyData	DURATION	12000	None	2016	Novice
Alex Rubinsteyn: Python Libraries for Deep Learning with Sequences - YouTube	NAME	PyData	DURATION	23000	None	2015	Novice
The Other Async (Threads + Async = ❤️) - YouTube	NAME	David Beazley	DURATION	5000	None	2017	Novice
Daniel Chen Introduction to Pandas - YouTube	NAME	PyData	DURATION	10000	None	2016	Novice
Numba - Tell Those C++ Bullies to Get Lost SciPy 2017 Tutorial Gil Forsyth & Lorena Barba - YouTube	NAME	Enthought	DURATION	5000	None	2017	Novice
Deploying Interactive Jupyter Dashboards for Visualizing Hundreds of Millions of Datapoints, in 30 L - YouTube	NAME	Enthought	DURATION	5000	None	2017	Novice
Divya Sardana Building Recommender Systems Using Python - YouTube	NAME	PyData	DURATION	10000	None	2016	Novice
Joel Grus: Learning Data Science Using Functional Python - YouTube	NAME	PyData	DURATION	18000	None	2015	Novice
Stephen Simmons Pandas from the Inside - YouTube	NAME	PyData	DURATION	9000	None	2016	Novice
Curious Course on Coroutines and Concurrency - YouTube	NAME	David Beazley	DURATION	9000	None	2016	Novice
Anatomy of matplotlib SciPy 2015 Tutorial Benjamin Root and Joe Kington - YouTube	NAME	Enthought	DURATION	18000	None	2015	Novice
Anatomy of Matplotlib SciPy 2017 Tutorial Ben Root - YouTube	NAME	Enthought	DURATION	4000	None	2017	Novice
Data Science is Software SciPy 2016 Tutorial Peter Bull & Isaac Slavitt - YouTube	NAME	Enthought	DURATION	9000	None	2016	Novice
Jake VanderPlas: Machine Learning with Scikit Learn - YouTube	NAME	PyData	DURATION	16000	None	2015	Novice
Using Jupyter notebooks to develop and share interactive data displays - YouTube	NAME	PyCon Australia	DURATION	8000	None	2016	Novice
Parallel Python: Analyzing Large Datasets Intermediate SciPy 2016 Tutorial Matthew Rocklin & Mi - YouTube	NAME	Enthought	DURATION	7000	None	2016	Novice
Functional Programming with Python - YouTube	NAME	Next Day Video	DURATION	44000	None	2013	Novice
Predicting sports winners using data analytics with pandas and scikit-learn by Robert Layton - YouTube	NAME	PyCon Australia	DURATION	13000	None	2015	Novice
Keynote: Project Jupyter SciPy 2016 Brian Granger - YouTube	NAME	Enthought	DURATION	7000	None	2016	Novice
matplotlib (Python Plotting Library) Beginner SciPy 2016 Tutorial Nicolas Rougier - YouTube	NAME	Enthought	DURATION	6000	None	2016	Novice
Awesome Big Data Algorithms - YouTube	NAME	Next Day Video	DURATION	41000	None	2013	Novice
Stephen Simmons - Pandas from the Inside / “Big Pandas” - YouTube	NAME	PyData	DURATION	3000	None	2017	Novice
Fear and Awaiting in Async (Screencast) - YouTube	NAME	David Beazley	DURATION	5000	None	2016	Novice
Brian Granger: All About Jupyter - YouTube	NAME	PyData	DURATION	11000	None	2015	Novice
Anusua Trivedi: An example of Predictive Analytics: Building a Recommendation Engine using Python - YouTube	NAME	PyData	DURATION	11000	None	2015	Novice
Sarah Guido The Wild West of Data Wrangling PyCon 2017 - YouTube	NAME	PyCon 2017	DURATION	3000	None	2017	Novice
Adventures in scikit-learn’s Random Forest by Gregory Saunders - YouTube	NAME	PyCon Australia	DURATION	9000	None	2015	Novice
Doing Math with Python - YouTube	NAME	PyCon Australia	DURATION	5000	None	2016	Novice
Iterations of Evolution: The Unauthorized Biography of the For-Loop - YouTube	NAME	David Beazley	DURATION	2000	None	2017	Novice
Alex Martelli, "“Good Enough” IS Good Enough!", PyBay2016 - YouTube	NAME	SF Python	DURATION	4000	None	2016	Novice
Renee Chu - Python for Social Scientists: Cleaning and Prepping Data - PyCon 2016 - YouTube	NAME	PyCon 2016	DURATION	3000	None	2016	Novice
PyMC: Markov Chain Monte Carlo in Python SciPy 2014 Chris Fonnesbeck - YouTube	NAME	Enthought	DURATION	9000	None	2014	Novice
Alex Martelli, "“The Tower of Abstraction”, PyBay2016 - YouTube	NAME	SF Python	DURATION	3000	None	2016	Novice
Jupyter Advanced Topics Tutorial SciPy 2015 Tutorial Jonathan Frederic, Matthias Bussonier & Tho - YouTube	NAME	Enthought	DURATION	4000	None	2015	Novice
Rachel Thomas, “Using randomness to make code much faster”, PyBay2017 - YouTube	NAME	SF Python	DURATION	1000	None	2017	Novice
Mahmoud Hashemi, Python Profiling & Performance: elementary to enterprise, PyBay2016 - YouTube	NAME	SF Python	DURATION	1000	None	2016	Novice
Dillon Niederhut, “What to do when your data is large, but not big”, PyBay2016 - YouTube	NAME	SF Python	DURATION	0	None	2016	Novice
Cynthia Lin, “Opening Up to Open Source”, PyBay2017 - YouTube	NAME	SF Python	DURATION	0	None	2017	Novice

• (Brandon Rhodes - Pandas From The Ground Up - PyCon 2015) https://www.youtube.com/watch?v=5JnMutdy6Fw
• (A Visual Guide To Pandas) https://www.youtube.com/watch?v=9d5-Ti6onew
• (Stephen Simmons | Pandas from the Inside) https://www.youtube.com/watch?v=CowlcrtSyME
• (Stephen Simmons - Pandas from the Inside / “Big Pandas”) https://www.youtube.com/watch?v=YGk09nK_xnM
• (Pandas for Data Analysis | SciPy 2017 Tutorial | Daniel Chen) https://www.youtube.com/watch?v=oGzU688xCUs
• (Introduction To Data Analytics With Pandas) https://www.youtube.com/watch?v=5XGycFIe8qE
• (Introduction Into Pandas: Python Tutorial) https://www.youtube.com/watch?v=-NR-ynQg0YM

Cheat-sheets

• https://github.com/pandas-dev/pandas/blob/master/doc/cheatsheet/Pandas_Cheat_Sheet.pdf
• https://s3.amazonaws.com/quandl-static-content/Documents/Quandl+-+Pandas,+SciPy,+NumPy+Cheat+Sheet.pdf
• http://www.webpages.uidaho.edu/~stevel/504/Pandas%20DataFrame%20Notes.pdf
• https://assets.datacamp.com/blog_assets/PandasPythonForDataScience.pdf
• https://s3.amazonaws.com/assets.datacamp.com/blog_assets/Python_Pandas_Cheat_Sheet_2.pdf

Tutorials

• https://github.com/jorisvandenbossche/pandas-tutorial
• https://github.com/guipsamora/pandas_exercises
• https://github.com/brandon-rhodes/pycon-pandas-tutorial
• https://github.com/jadianes/winerama-recommender-tutorial
• https://github.com/jonathanrocher/pandas_tutorial
• https://github.com/chendaniely/scipy-2017-tutorial-pandas
• https://github.com/tdpetrou/Learn-Pandas
• https://github.com/adeshpande3/Pandas-Tutorial
• https://github.com/GaelVaroquaux/sklearn_pandas_tutorial
• https://github.com/vi3k6i5/pandas_basics
• https://github.com/california-civic-data-coalition/first-python-notebook

Books

Data analysis with Python resources

Videos

• (Introduction to NumPy | SciPy 2015 Tutorial | Eric Jones) https://www.youtube.com/watch?v=1zmV8lZsHF4

Cheat-sheets

• http://datasciencefree.com/numpy.pdf
• https://s3.amazonaws.com/assets.datacamp.com/blog_assets/Scikit_Learn_Cheat_Sheet_Python.pdf

Tutorials

Books

Data analysis resources

Books

Papers