137 lines
11 KiB
Markdown
137 lines
11 KiB
Markdown
# awesome-pandas
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A collection of resources for pandas (Python) and related subjects.
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## pandas resources
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### Videos
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| Title | Speaker | Duration | Views | Keywords | Year |
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| ----- | ------- | -------- | ----- | -------- | ---- |
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| Tetiana Ivanova - How to become a Data Scientist in 6 months a hacker’s approach to career planning - YouTube | NAME | DURATION | 148303 | None | 2016 |
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| Introduction Into Pandas: Python Tutorial - YouTube | NAME | DURATION | 46102 | None | 2017 |
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| James Powell - So you want to be a Python expert? - YouTube | NAME | DURATION | 28251 | None | 2017 |
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| Introduction To Data Analytics With Pandas - YouTube | NAME | DURATION | 25365 | None | 2017 |
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| Jake VanderPlas The Python Visualization Landscape PyCon 2017 - YouTube | NAME | DURATION | 20900 | None | 2017 |
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| NumPy Beginner SciPy 2016 Tutorial Alexandre Chabot LeClerc - YouTube | NAME | DURATION | 55887 | None | 2016 |
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| Machine Learning Part 1 SciPy 2016 Tutorial Andreas Mueller & Sebastian Raschka - YouTube | NAME | DURATION | 47254 | None | 2016 |
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| Transforming Code into Beautiful, Idiomatic Python - YouTube | NAME | DURATION | 340221 | None | 2013 |
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| Modern Dictionaries by Raymond Hettinger - YouTube | NAME | DURATION | 44225 | None | 2016 |
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| Brandon Rhodes - Pandas From The Ground Up - PyCon 2015 - YouTube | NAME | DURATION | 90778 | None | 2015 |
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| Raymond Hettinger, Keynote on Concurrency, PyBay 2017 - YouTube | NAME | DURATION | 14601 | None | 2017 |
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| Pandas for Data Analysis SciPy 2017 Tutorial Daniel Chen - YouTube | NAME | DURATION | 13319 | None | 2017 |
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| Sofia Heisler No More Sad Pandas Optimizing Pandas Code for Speed and Efficiency PyCon 2017 - YouTube | NAME | DURATION | 12155 | None | 2017 |
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| The Fun of Reinvention (Screencast) - YouTube | NAME | DURATION | 10785 | None | 2017 |
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| JupyterLab: Building Blocks for Interactive Computing SciPy 2016 Brian Granger - YouTube | NAME | DURATION | 27539 | None | 2016 |
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| Computational Statistics SciPy 2017 Tutorial Allen Downey - YouTube | NAME | DURATION | 9846 | None | 2017 |
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| Aileen Nielsen - Time Series Analysis - PyCon 2017 - YouTube | NAME | DURATION | 8850 | None | 2017 |
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| Machine Learning for Time Series Data in Python SciPy 2016 Brett Naul - YouTube | NAME | DURATION | 23902 | None | 2016 |
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| A Visual Guide To Pandas - YouTube | NAME | DURATION | 48544 | None | 2015 |
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| Machine Learning with Scikit Learn SciPy 2015 Tutorial Andreas Mueller & Kyle Kastner Part I - YouTube | NAME | DURATION | 48164 | None | 2015 |
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| Analyzing and Manipulating Data with Pandas Beginner SciPy 2016 Tutorial Jonathan Rocher - YouTube | NAME | DURATION | 22300 | None | 2016 |
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| Machine Learning with scikit learn Part One SciPy 2017 Tutorial Andreas Mueller & Alexandre Gram - YouTube | NAME | DURATION | 7689 | None | 2017 |
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| Introduction to Numerical Computing with NumPy SciPy 2017 Tutorial Dillon Niederhut - YouTube | NAME | DURATION | 7542 | None | 2017 |
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| Matthew Rocklin Dask A Pythonic Distributed Data Science Framework PyCon 2017 - YouTube | NAME | DURATION | 7397 | None | 2017 |
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| Raymond Hettinger, "Being a Core Developer in Python", PyBay2016 - YouTube | NAME | DURATION | 19010 | None | 2016 |
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| Super Advanced Python - YouTube | NAME | DURATION | 142720 | None | 2013 |
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| Christopher Fonnesbeck - Introduction to Statistical Modeling with Python - PyCon 2017 - YouTube | NAME | DURATION | 6885 | None | 2017 |
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| Fully Convolutional Networks for Image Segmentation SciPy 2017 Daniil Pakhomov - YouTube | NAME | DURATION | 6774 | None | 2017 |
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| Chloe Mawer, Jonathan Whitmore - Exploratory data analysis in python - PyCon 2017 - YouTube | NAME | DURATION | 6779 | None | 2017 |
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| Learning TensorFlow - YouTube | NAME | DURATION | 17685 | None | 2016 |
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| JupyterHub: Deploying Jupyter Notebooks for students and researchers - YouTube | NAME | DURATION | 17091 | None | 2016 |
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| Jeffrey Yau Applied Time Series Econometrics in Python and R - YouTube | NAME | DURATION | 16843 | None | 2016 |
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| Christopher Roach Visualizing Geographic Data With Python - YouTube | NAME | DURATION | 13912 | None | 2016 |
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| The Other Async (Threads + Async = ❤️) - YouTube | NAME | DURATION | 5029 | None | 2017 |
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| Numba - Tell Those C++ Bullies to Get Lost SciPy 2017 Tutorial Gil Forsyth & Lorena Barba - YouTube | NAME | DURATION | 4702 | None | 2017 |
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| Deploying Interactive Jupyter Dashboards for Visualizing Hundreds of Millions of Datapoints, in 30 L - YouTube | NAME | DURATION | 4684 | None | 2017 |
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| Builtin Superheroes (Screencast) - YouTube | NAME | DURATION | 12263 | None | 2016 |
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| Sebastian Raschka Learning scikit learn - An Introduction to Machine Learning in Python - YouTube | NAME | DURATION | 11857 | None | 2016 |
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| Anatomy of Matplotlib SciPy 2017 Tutorial Ben Root - YouTube | NAME | DURATION | 4307 | None | 2017 |
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| Alex Rubinsteyn: Python Libraries for Deep Learning with Sequences - YouTube | NAME | DURATION | 22558 | None | 2015 |
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| Python's Class Development Toolkit - YouTube | NAME | DURATION | 79744 | None | 2013 |
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| Daniel Chen Introduction to Pandas - YouTube | NAME | DURATION | 9925 | None | 2016 |
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| Divya Sardana Building Recommender Systems Using Python - YouTube | NAME | DURATION | 9803 | None | 2016 |
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| Stephen Simmons Pandas from the Inside - YouTube | NAME | DURATION | 9334 | None | 2016 |
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| Curious Course on Coroutines and Concurrency - YouTube | NAME | DURATION | 9215 | None | 2016 |
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| Data Science is Software SciPy 2016 Tutorial Peter Bull & Isaac Slavitt - YouTube | NAME | DURATION | 8960 | None | 2016 |
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| Joel Grus: Learning Data Science Using Functional Python - YouTube | NAME | DURATION | 18160 | None | 2015 |
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| Anatomy of matplotlib SciPy 2015 Tutorial Benjamin Root and Joe Kington - YouTube | NAME | DURATION | 17845 | None | 2015 |
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| Using Jupyter notebooks to develop and share interactive data displays - YouTube | NAME | DURATION | 8108 | None | 2016 |
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| Jake VanderPlas: Machine Learning with Scikit Learn - YouTube | NAME | DURATION | 15813 | None | 2015 |
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| Stephen Simmons - Pandas from the Inside / "Big Pandas" - YouTube | NAME | DURATION | 2732 | None | 2017 |
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| Sarah Guido The Wild West of Data Wrangling PyCon 2017 - YouTube | NAME | DURATION | 2546 | None | 2017 |
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| Parallel Python: Analyzing Large Datasets Intermediate SciPy 2016 Tutorial Matthew Rocklin & Mi - YouTube | NAME | DURATION | 6810 | None | 2016 |
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| Keynote: Project Jupyter SciPy 2016 Brian Granger - YouTube | NAME | DURATION | 6563 | None | 2016 |
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| matplotlib (Python Plotting Library) Beginner SciPy 2016 Tutorial Nicolas Rougier - YouTube | NAME | DURATION | 6387 | None | 2016 |
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| Predicting sports winners using data analytics with pandas and scikit-learn by Robert Layton - YouTube | NAME | DURATION | 12866 | None | 2015 |
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| Functional Programming with Python - YouTube | NAME | DURATION | 43665 | None | 2013 |
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| Fear and Awaiting in Async (Screencast) - YouTube | NAME | DURATION | 5474 | None | 2016 |
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| Awesome Big Data Algorithms - YouTube | NAME | DURATION | 41302 | None | 2013 |
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| Brian Granger: All About Jupyter - YouTube | NAME | DURATION | 10513 | None | 2015 |
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| Anusua Trivedi: An example of Predictive Analytics: Building a Recommendation Engine using Python - YouTube | NAME | DURATION | 10505 | None | 2015 |
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| Iterations of Evolution: The Unauthorized Biography of the For-Loop - YouTube | NAME | DURATION | 1811 | None | 2017 |
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| Adventures in scikit-learn's Random Forest by Gregory Saunders - YouTube | NAME | DURATION | 9478 | None | 2015 |
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| Doing Math with Python - YouTube | NAME | DURATION | 4524 | None | 2016 |
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| Alex Martelli, ""Good Enough" IS Good Enough!", PyBay2016 - YouTube | NAME | DURATION | 3746 | None | 2016 |
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| Renee Chu - Python for Social Scientists: Cleaning and Prepping Data - PyCon 2016 - YouTube | NAME | DURATION | 2647 | None | 2016 |
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| Alex Martelli, ""The Tower of Abstraction", PyBay2016 - YouTube | NAME | DURATION | 2543 | None | 2016 |
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| PyMC: Markov Chain Monte Carlo in Python SciPy 2014 Chris Fonnesbeck - YouTube | NAME | DURATION | 9455 | None | 2014 |
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| Jupyter Advanced Topics Tutorial SciPy 2015 Tutorial Jonathan Frederic, Matthias Bussonier & Tho - YouTube | NAME | DURATION | 3990 | None | 2015 |
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| Rachel Thomas, "Using randomness to make code much faster", PyBay2017 - YouTube | NAME | DURATION | 645 | None | 2017 |
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| Mahmoud Hashemi, Python Profiling & Performance: elementary to enterprise, PyBay2016 - YouTube | NAME | DURATION | 825 | None | 2016 |
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| Dillon Niederhut, "What to do when your data is large, but not big", PyBay2016 - YouTube | NAME | DURATION | 484 | None | 2016 |
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| Cynthia Lin, "Opening Up to Open Source", PyBay2017 - YouTube | NAME | DURATION | 96 | None | 2017 |
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* (Brandon Rhodes - Pandas From The Ground Up - PyCon 2015) https://www.youtube.com/watch?v=5JnMutdy6Fw
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* (A Visual Guide To Pandas) https://www.youtube.com/watch?v=9d5-Ti6onew
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* (Stephen Simmons | Pandas from the Inside) https://www.youtube.com/watch?v=CowlcrtSyME
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* (Stephen Simmons - Pandas from the Inside / "Big Pandas") https://www.youtube.com/watch?v=YGk09nK_xnM
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* (Pandas for Data Analysis | SciPy 2017 Tutorial | Daniel Chen) https://www.youtube.com/watch?v=oGzU688xCUs
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* (Introduction To Data Analytics With Pandas) https://www.youtube.com/watch?v=5XGycFIe8qE
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* (Introduction Into Pandas: Python Tutorial) https://www.youtube.com/watch?v=-NR-ynQg0YM
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### Cheat-sheets
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* https://github.com/pandas-dev/pandas/blob/master/doc/cheatsheet/Pandas_Cheat_Sheet.pdf
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* https://s3.amazonaws.com/quandl-static-content/Documents/Quandl+-+Pandas,+SciPy,+NumPy+Cheat+Sheet.pdf
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* http://www.webpages.uidaho.edu/~stevel/504/Pandas%20DataFrame%20Notes.pdf
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* https://assets.datacamp.com/blog_assets/PandasPythonForDataScience.pdf
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* https://s3.amazonaws.com/assets.datacamp.com/blog_assets/Python_Pandas_Cheat_Sheet_2.pdf
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### Tutorials
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* https://github.com/jorisvandenbossche/pandas-tutorial
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* https://github.com/guipsamora/pandas_exercises
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* https://github.com/brandon-rhodes/pycon-pandas-tutorial
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* https://github.com/jadianes/winerama-recommender-tutorial
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* https://github.com/jonathanrocher/pandas_tutorial
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* https://github.com/chendaniely/scipy-2017-tutorial-pandas
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* https://github.com/tdpetrou/Learn-Pandas
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* https://github.com/adeshpande3/Pandas-Tutorial
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* https://github.com/GaelVaroquaux/sklearn_pandas_tutorial
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* https://github.com/vi3k6i5/pandas_basics
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* https://github.com/california-civic-data-coalition/first-python-notebook
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### Books
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## Data analysis with Python resources
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### Videos
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* (Introduction to NumPy | SciPy 2015 Tutorial | Eric Jones) https://www.youtube.com/watch?v=1zmV8lZsHF4
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### Cheat-sheets
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* http://datasciencefree.com/numpy.pdf
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* https://s3.amazonaws.com/assets.datacamp.com/blog_assets/Scikit_Learn_Cheat_Sheet_Python.pdf
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### Tutorials
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### Books
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## Data analysis resources
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### Books
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### Papers
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###
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