11 KiB
11 KiB
awesome-pandas
A collection of resources for pandas (Python) and related subjects.
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 | 148303 | None | 2016 |
Introduction Into Pandas: Python Tutorial - YouTube | NAME | DURATION | 46102 | None | 2017 |
James Powell - So you want to be a Python expert? - YouTube | NAME | DURATION | 28251 | None | 2017 |
Introduction To Data Analytics With Pandas - YouTube | NAME | DURATION | 25365 | None | 2017 |
Jake VanderPlas The Python Visualization Landscape PyCon 2017 - YouTube | NAME | DURATION | 20900 | None | 2017 |
NumPy Beginner | SciPy 2016 Tutorial | Alexandre Chabot LeClerc - YouTube | NAME | DURATION | 55887 |
Machine Learning Part 1 | SciPy 2016 Tutorial | Andreas Mueller & Sebastian Raschka - YouTube | NAME | DURATION | 47254 |
Transforming Code into Beautiful, Idiomatic Python - YouTube | NAME | DURATION | 340221 | None | 2013 |
Modern Dictionaries by Raymond Hettinger - YouTube | NAME | DURATION | 44225 | None | 2016 |
Brandon Rhodes - Pandas From The Ground Up - PyCon 2015 - YouTube | NAME | DURATION | 90778 | None | 2015 |
Raymond Hettinger, Keynote on Concurrency, PyBay 2017 - YouTube | NAME | DURATION | 14601 | None | 2017 |
Pandas for Data Analysis | SciPy 2017 Tutorial | Daniel Chen - YouTube | NAME | DURATION | 13319 |
Sofia Heisler No More Sad Pandas Optimizing Pandas Code for Speed and Efficiency PyCon 2017 - YouTube | NAME | DURATION | 12155 | None | 2017 |
The Fun of Reinvention (Screencast) - YouTube | NAME | DURATION | 10785 | None | 2017 |
JupyterLab: Building Blocks for Interactive Computing | SciPy 2016 | Brian Granger - YouTube | NAME | DURATION | 27539 |
Computational Statistics | SciPy 2017 Tutorial | Allen Downey - YouTube | NAME | DURATION | 9846 |
Aileen Nielsen - Time Series Analysis - PyCon 2017 - YouTube | NAME | DURATION | 8850 | None | 2017 |
Machine Learning for Time Series Data in Python | SciPy 2016 | Brett Naul - YouTube | NAME | DURATION | 23902 |
A Visual Guide To Pandas - YouTube | NAME | DURATION | 48544 | None | 2015 |
Machine Learning with Scikit Learn | SciPy 2015 Tutorial | Andreas Mueller & Kyle Kastner Part I - YouTube | NAME | DURATION | 48164 |
Analyzing and Manipulating Data with Pandas Beginner | SciPy 2016 Tutorial | Jonathan Rocher - YouTube | NAME | DURATION | 22300 |
Machine Learning with scikit learn Part One | SciPy 2017 Tutorial | Andreas Mueller & Alexandre Gram - YouTube | NAME | DURATION | 7689 |
Introduction to Numerical Computing with NumPy | SciPy 2017 Tutorial | Dillon Niederhut - YouTube | NAME | DURATION | 7542 |
Matthew Rocklin Dask A Pythonic Distributed Data Science Framework PyCon 2017 - YouTube | NAME | DURATION | 7397 | None | 2017 |
Raymond Hettinger, “Being a Core Developer in Python”, PyBay2016 - YouTube | NAME | DURATION | 19010 | None | 2016 |
Super Advanced Python - YouTube | NAME | DURATION | 142720 | None | 2013 |
Christopher Fonnesbeck - Introduction to Statistical Modeling with Python - PyCon 2017 - YouTube | NAME | DURATION | 6885 | None | 2017 |
Fully Convolutional Networks for Image Segmentation | SciPy 2017 | Daniil Pakhomov - YouTube | NAME | DURATION | 6774 |
Chloe Mawer, Jonathan Whitmore - Exploratory data analysis in python - PyCon 2017 - YouTube | NAME | DURATION | 6779 | None | 2017 |
Learning TensorFlow - YouTube | NAME | DURATION | 17685 | None | 2016 |
JupyterHub: Deploying Jupyter Notebooks for students and researchers - YouTube | NAME | DURATION | 17091 | None | 2016 |
Jeffrey Yau | Applied Time Series Econometrics in Python and R - YouTube | NAME | DURATION | 16843 | None |
Christopher Roach | Visualizing Geographic Data With Python - YouTube | NAME | DURATION | 13912 | None |
The Other Async (Threads + Async = ❤️) - YouTube | NAME | DURATION | 5029 | None | 2017 |
Numba - Tell Those C++ Bullies to Get Lost | SciPy 2017 Tutorial | Gil Forsyth & Lorena Barba - YouTube | NAME | DURATION | 4702 |
Deploying Interactive Jupyter Dashboards for Visualizing Hundreds of Millions of Datapoints, in 30 L - YouTube | NAME | DURATION | 4684 | None | 2017 |
Builtin Superheroes (Screencast) - YouTube | NAME | DURATION | 12263 | None | 2016 |
Sebastian Raschka | Learning scikit learn - An Introduction to Machine Learning in Python - YouTube | NAME | DURATION | 11857 | None |
Anatomy of Matplotlib | SciPy 2017 Tutorial | Ben Root - YouTube | NAME | DURATION | 4307 |
Alex Rubinsteyn: Python Libraries for Deep Learning with Sequences - YouTube | NAME | DURATION | 22558 | None | 2015 |
Python’s Class Development Toolkit - YouTube | NAME | DURATION | 79744 | None | 2013 |
Daniel Chen | Introduction to Pandas - YouTube | NAME | DURATION | 9925 | None |
Divya Sardana | Building Recommender Systems Using Python - YouTube | NAME | DURATION | 9803 | None |
Stephen Simmons | Pandas from the Inside - YouTube | NAME | DURATION | 9334 | None |
Curious Course on Coroutines and Concurrency - YouTube | NAME | DURATION | 9215 | None | 2016 |
Data Science is Software | SciPy 2016 Tutorial | Peter Bull & Isaac Slavitt - YouTube | NAME | DURATION | 8960 |
Joel Grus: Learning Data Science Using Functional Python - YouTube | NAME | DURATION | 18160 | None | 2015 |
Anatomy of matplotlib | SciPy 2015 Tutorial | Benjamin Root and Joe Kington - YouTube | NAME | DURATION | 17845 |
Using Jupyter notebooks to develop and share interactive data displays - YouTube | NAME | DURATION | 8108 | None | 2016 |
Jake VanderPlas: Machine Learning with Scikit Learn - YouTube | NAME | DURATION | 15813 | None | 2015 |
Stephen Simmons - Pandas from the Inside / “Big Pandas” - YouTube | NAME | DURATION | 2732 | None | 2017 |
Sarah Guido The Wild West of Data Wrangling PyCon 2017 - YouTube | NAME | DURATION | 2546 | None | 2017 |
Parallel Python: Analyzing Large Datasets Intermediate | SciPy 2016 Tutorial | Matthew Rocklin & Mi - YouTube | NAME | DURATION | 6810 |
Keynote: Project Jupyter | SciPy 2016 | Brian Granger - YouTube | NAME | DURATION | 6563 |
matplotlib (Python Plotting Library) Beginner | SciPy 2016 Tutorial | Nicolas Rougier - YouTube | NAME | DURATION | 6387 |
Predicting sports winners using data analytics with pandas and scikit-learn by Robert Layton - YouTube | NAME | DURATION | 12866 | None | 2015 |
Functional Programming with Python - YouTube | NAME | DURATION | 43665 | None | 2013 |
Fear and Awaiting in Async (Screencast) - YouTube | NAME | DURATION | 5474 | None | 2016 |
Awesome Big Data Algorithms - YouTube | NAME | DURATION | 41302 | None | 2013 |
Brian Granger: All About Jupyter - YouTube | NAME | DURATION | 10513 | None | 2015 |
Anusua Trivedi: An example of Predictive Analytics: Building a Recommendation Engine using Python - YouTube | NAME | DURATION | 10505 | None | 2015 |
Iterations of Evolution: The Unauthorized Biography of the For-Loop - YouTube | NAME | DURATION | 1811 | None | 2017 |
Adventures in scikit-learn’s Random Forest by Gregory Saunders - YouTube | NAME | DURATION | 9478 | None | 2015 |
Doing Math with Python - YouTube | NAME | DURATION | 4524 | None | 2016 |
Alex Martelli, "“Good Enough” IS Good Enough!", PyBay2016 - YouTube | NAME | DURATION | 3746 | None | 2016 |
Renee Chu - Python for Social Scientists: Cleaning and Prepping Data - PyCon 2016 - YouTube | NAME | DURATION | 2647 | None | 2016 |
Alex Martelli, "“The Tower of Abstraction”, PyBay2016 - YouTube | NAME | DURATION | 2543 | None | 2016 |
PyMC: Markov Chain Monte Carlo in Python | SciPy 2014 | Chris Fonnesbeck - YouTube | NAME | DURATION | 9455 |
Jupyter Advanced Topics Tutorial | SciPy 2015 Tutorial | Jonathan Frederic, Matthias Bussonier & Tho - YouTube | NAME | DURATION | 3990 |
Rachel Thomas, “Using randomness to make code much faster”, PyBay2017 - YouTube | NAME | DURATION | 645 | None | 2017 |
Mahmoud Hashemi, Python Profiling & Performance: elementary to enterprise, PyBay2016 - YouTube | NAME | DURATION | 825 | None | 2016 |
Dillon Niederhut, “What to do when your data is large, but not big”, PyBay2016 - YouTube | NAME | DURATION | 484 | None | 2016 |
Cynthia Lin, “Opening Up to Open Source”, PyBay2017 - YouTube | NAME | DURATION | 96 | 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