15 KiB
15 KiB
awesome-pandas
A collection of resources for pandas (Python) and related subjects.
Table of contents
pandas resources
- Videos
- Cheat-sheets
- Tutorials
- Books
Data analysis with Python resources
- Videos
- Cheat-sheets
- Tutorials
- Books
Miscellaneous related resources
- Videos
- Cheat-sheets
- Tutorials
- Books
pandas resources
Videos
| 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 | 🐍 |
| Dask - A Pythonic Distributed Data Science Framework | Matthew Rocklin | PyCon 2017 | 0:46 | 7000 | dask | 2017 | 🐍 🐍 |
| Introduction to Statistical Modeling with Python [repo] | Christopher Fonnesbeck | PyCon 2017 | 3:19 | 7000 | scipy | 2017 | 🐍 🐍 |
| Fully Convolutional Networks for Image Segmentation | Daniil Pakhomov | Enthought | 0:20 | 7000 | scipy | 2017 | 🐍 |
| Exploratory data analysis in python [repo] | Chloe Mawer & Jonathan Whitmore | PyCon 2017 | 2:54 | 7000 | scipy | 2017 | 🐍 |
| Visualizing Geographic Data | Christopher Roach | PyData | 0:31 | 14000 | python | 2016 | 🐍 |
| Builtin Superheroes | David Beazley | David Beazley | 0:44 | 12000 | python | 2016 | 🐍 🐍 |
| Python’s Class Development Toolkit | Raymond Hettinger | Next Day Video | 0:45 | 80000 | python | 2013 | 🐍 🐍 |
| Libraries for Deep Learning with Sequences | Alex Rubinsteyn | PyData | 0:44 | 23000 | scipy | 2015 | 🐍 🐍 |
| The Other Async (Threads + Async = ❤️) - YouTube | David Beazley | David Beazley | 0:47 | 5000 | python | 2017 | 🐍 🐍 🐍 |
| Numba - Tell Those C++ Bullies to Get Lost [repo] | Gil Forsyth & Lorena Barba | Enthought | 2:25 | 5000 | numba | 2017 | 🐍 🐍 |
| Deploying Interactive Jupyter Dashboards | Philipp Rudiger | Enthought | 0:18 | 5000 | jupyter | 2017 | 🐍 🐍 |
| Data Science Using Functional Python | Joel Grus | PyData | 0:44 | 18000 | python | 2015 | 🐍 🐍 |
| Pandas from the Inside | Stephen Simmons | PyData | 1:20 | 9000 | pandas | 2016 | 🐍 🐍 🐍 |
| Anatomy of matplotlib [repo] | Benjamin Root & Joe Kington | Enthought | 3:18 | 18000 | matplotlib | 2015 | 🐍 🐍 |
| Anatomy of matplotlib [repo] | Benjamin Root | Enthought | 3:02 | 4000 | matplotlib | 2017 | 🐍 🐍 |
| Data Science is Software [repo] | Peter Bull & Isaac Slavitt | Enthought | 2:12 | 9000 | jupyter | 2016 | 🐍 |
| 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