awesome-pandas

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

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pandas resources

Videos

Title	Speaker	Duration	Views	Keywords	Year
Tetiana Ivanova - How to become a Data Scientist in 6 months a hacker’s approach to career planning - YouTube	NAME	DURATION	148000	None	2016
Introduction Into Pandas: Python Tutorial - YouTube	NAME	DURATION	46000	None	2017
James Powell - So you want to be a Python expert? - YouTube	NAME	DURATION	28000	None	2017
Introduction To Data Analytics With Pandas - YouTube	NAME	DURATION	25000	None	2017
Jake VanderPlas The Python Visualization Landscape PyCon 2017 - YouTube	NAME	DURATION	21000	None	2017
NumPy Beginner SciPy 2016 Tutorial Alexandre Chabot LeClerc - YouTube	NAME	DURATION	56000	None	2016
Machine Learning Part 1 SciPy 2016 Tutorial Andreas Mueller & Sebastian Raschka - YouTube	NAME	DURATION	47000	None	2016
Transforming Code into Beautiful, Idiomatic Python - YouTube	NAME	DURATION	340000	None	2013
Modern Dictionaries by Raymond Hettinger - YouTube	NAME	DURATION	44000	None	2016
Brandon Rhodes - Pandas From The Ground Up - PyCon 2015 - YouTube	NAME	DURATION	91000	None	2015
Raymond Hettinger, Keynote on Concurrency, PyBay 2017 - YouTube	NAME	DURATION	15000	None	2017
Pandas for Data Analysis SciPy 2017 Tutorial Daniel Chen - YouTube	NAME	DURATION	13000	None	2017
Sofia Heisler No More Sad Pandas Optimizing Pandas Code for Speed and Efficiency PyCon 2017 - YouTube	NAME	DURATION	12000	None	2017
The Fun of Reinvention (Screencast) - YouTube	NAME	DURATION	11000	None	2017
JupyterLab: Building Blocks for Interactive Computing SciPy 2016 Brian Granger - YouTube	NAME	DURATION	28000	None	2016
Computational Statistics SciPy 2017 Tutorial Allen Downey - YouTube	NAME	DURATION	10000	None	2017
Aileen Nielsen - Time Series Analysis - PyCon 2017 - YouTube	NAME	DURATION	9000	None	2017
Machine Learning for Time Series Data in Python SciPy 2016 Brett Naul - YouTube	NAME	DURATION	24000	None	2016
A Visual Guide To Pandas - YouTube	NAME	DURATION	49000	None	2015
Machine Learning with Scikit Learn SciPy 2015 Tutorial Andreas Mueller & Kyle Kastner Part I - YouTube	NAME	DURATION	48000	None	2015
Analyzing and Manipulating Data with Pandas Beginner SciPy 2016 Tutorial Jonathan Rocher - YouTube	NAME	DURATION	22000	None	2016
Machine Learning with scikit learn Part One SciPy 2017 Tutorial Andreas Mueller & Alexandre Gram - YouTube	NAME	DURATION	8000	None	2017
Introduction to Numerical Computing with NumPy SciPy 2017 Tutorial Dillon Niederhut - YouTube	NAME	DURATION	8000	None	2017
Matthew Rocklin Dask A Pythonic Distributed Data Science Framework PyCon 2017 - YouTube	NAME	DURATION	7000	None	2017
Raymond Hettinger, “Being a Core Developer in Python”, PyBay2016 - YouTube	NAME	DURATION	19000	None	2016
Super Advanced Python - YouTube	NAME	DURATION	143000	None	2013
Christopher Fonnesbeck - Introduction to Statistical Modeling with Python - PyCon 2017 - YouTube	NAME	DURATION	7000	None	2017
Fully Convolutional Networks for Image Segmentation SciPy 2017 Daniil Pakhomov - YouTube	NAME	DURATION	7000	None	2017
Chloe Mawer, Jonathan Whitmore - Exploratory data analysis in python - PyCon 2017 - YouTube	NAME	DURATION	7000	None	2017
Learning TensorFlow - YouTube	NAME	DURATION	18000	None	2016
JupyterHub: Deploying Jupyter Notebooks for students and researchers - YouTube	NAME	DURATION	17000	None	2016
Jeffrey Yau Applied Time Series Econometrics in Python and R - YouTube	NAME	DURATION	17000	None	2016
Christopher Roach Visualizing Geographic Data With Python - YouTube	NAME	DURATION	14000	None	2016
The Other Async (Threads + Async = ❤️) - YouTube	NAME	DURATION	5000	None	2017
Numba - Tell Those C++ Bullies to Get Lost SciPy 2017 Tutorial Gil Forsyth & Lorena Barba - YouTube	NAME	DURATION	5000	None	2017
Deploying Interactive Jupyter Dashboards for Visualizing Hundreds of Millions of Datapoints, in 30 L - YouTube	NAME	DURATION	5000	None	2017
Builtin Superheroes (Screencast) - YouTube	NAME	DURATION	12000	None	2016
Sebastian Raschka Learning scikit learn - An Introduction to Machine Learning in Python - YouTube	NAME	DURATION	12000	None	2016
Anatomy of Matplotlib SciPy 2017 Tutorial Ben Root - YouTube	NAME	DURATION	4000	None	2017
Alex Rubinsteyn: Python Libraries for Deep Learning with Sequences - YouTube	NAME	DURATION	23000	None	2015
Python’s Class Development Toolkit - YouTube	NAME	DURATION	80000	None	2013
Daniel Chen Introduction to Pandas - YouTube	NAME	DURATION	10000	None	2016
Divya Sardana Building Recommender Systems Using Python - YouTube	NAME	DURATION	10000	None	2016
Stephen Simmons Pandas from the Inside - YouTube	NAME	DURATION	9000	None	2016
Curious Course on Coroutines and Concurrency - YouTube	NAME	DURATION	9000	None	2016
Data Science is Software SciPy 2016 Tutorial Peter Bull & Isaac Slavitt - YouTube	NAME	DURATION	9000	None	2016
Joel Grus: Learning Data Science Using Functional Python - YouTube	NAME	DURATION	18000	None	2015
Anatomy of matplotlib SciPy 2015 Tutorial Benjamin Root and Joe Kington - YouTube	NAME	DURATION	18000	None	2015
Using Jupyter notebooks to develop and share interactive data displays - YouTube	NAME	DURATION	8000	None	2016
Jake VanderPlas: Machine Learning with Scikit Learn - YouTube	NAME	DURATION	16000	None	2015
Stephen Simmons - Pandas from the Inside / “Big Pandas” - YouTube	NAME	DURATION	3000	None	2017
Sarah Guido The Wild West of Data Wrangling PyCon 2017 - YouTube	NAME	DURATION	3000	None	2017
Parallel Python: Analyzing Large Datasets Intermediate SciPy 2016 Tutorial Matthew Rocklin & Mi - YouTube	NAME	DURATION	7000	None	2016
Keynote: Project Jupyter SciPy 2016 Brian Granger - YouTube	NAME	DURATION	7000	None	2016
matplotlib (Python Plotting Library) Beginner SciPy 2016 Tutorial Nicolas Rougier - YouTube	NAME	DURATION	6000	None	2016
Predicting sports winners using data analytics with pandas and scikit-learn by Robert Layton - YouTube	NAME	DURATION	13000	None	2015
Functional Programming with Python - YouTube	NAME	DURATION	44000	None	2013
Fear and Awaiting in Async (Screencast) - YouTube	NAME	DURATION	5000	None	2016
Awesome Big Data Algorithms - YouTube	NAME	DURATION	41000	None	2013
Brian Granger: All About Jupyter - YouTube	NAME	DURATION	11000	None	2015
Anusua Trivedi: An example of Predictive Analytics: Building a Recommendation Engine using Python - YouTube	NAME	DURATION	11000	None	2015
Iterations of Evolution: The Unauthorized Biography of the For-Loop - YouTube	NAME	DURATION	2000	None	2017
Adventures in scikit-learn’s Random Forest by Gregory Saunders - YouTube	NAME	DURATION	9000	None	2015
Doing Math with Python - YouTube	NAME	DURATION	5000	None	2016
Alex Martelli, "“Good Enough” IS Good Enough!", PyBay2016 - YouTube	NAME	DURATION	4000	None	2016
Renee Chu - Python for Social Scientists: Cleaning and Prepping Data - PyCon 2016 - YouTube	NAME	DURATION	3000	None	2016
Alex Martelli, "“The Tower of Abstraction”, PyBay2016 - YouTube	NAME	DURATION	3000	None	2016
PyMC: Markov Chain Monte Carlo in Python SciPy 2014 Chris Fonnesbeck - YouTube	NAME	DURATION	9000	None	2014
Jupyter Advanced Topics Tutorial SciPy 2015 Tutorial Jonathan Frederic, Matthias Bussonier & Tho - YouTube	NAME	DURATION	4000	None	2015
Rachel Thomas, “Using randomness to make code much faster”, PyBay2017 - YouTube	NAME	DURATION	1000	None	2017
Mahmoud Hashemi, Python Profiling & Performance: elementary to enterprise, PyBay2016 - YouTube	NAME	DURATION	1000	None	2016
Dillon Niederhut, “What to do when your data is large, but not big”, PyBay2016 - YouTube	NAME	DURATION	0	None	2016
Cynthia Lin, “Opening Up to Open Source”, PyBay2017 - YouTube	NAME	DURATION	0	None	2017

• (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