- Pandas for Everyone
- Teaching Slides
- Links to teaching sessions
- Other random goodies
Pandas for Everyone
Repository to accompany "Pandas for Everyone".
If you have gone through the book, an Amazon review would be much appreciated! My mom would too :)
The easiest way to get everything you need to the tutorial is to install
You can download and install it here: https://www.continuum.io/downloads
Install seaborn for plotting
conda install seaborn
Install all the packages used in the book
There is an error in the preface of the book for installing packages. I am leaving this section here in the README to have an updated list of packages and installation instructions
(Optional) Create a Virtual Environment
You can choose to create a virtual envirionment for the packages used in the book, so it doesn't clash with other packages you plan to use later on.
# create a virtual environment named "book" using python 3.6 conda create -n book python=3.6 # activate the environment # so all installed packages will go in there and not mess up your base python environment source activate book
Install the packages
Whether you decited to create a virtual environment or not, you can install the packages with the below commands.
If you did use virtual environments, remember to
source activate book before you follow along with the book
so the packages you installed can be loaded.
conda install pandas xlwt openpyxl seaborn numpy ipython jupyter statsmodels scikit-learn regex wget odo numba conda install -c conda-forge pweave # you don't really need this package, it was used to build and create the book conda install -c conda-forge feather-format pip install lifelines pandas-datareader
For those instructors who are using the teaching slide deck version of the book. Each chapter is split into it's own slide deck. There are multiple versions for each chapter.
- Jupyter notebook (ipynb)
The slides are created using Damian Avila's RISE Jupyter/IPython Slideshow Extension. Thus, you can choose to install the RISE extension and live render and display the Jupyter notebooks (ipynb). Since each chapter is a Jupyter notebook at heart, the conversions to PDF and HTML are performed using
jupyter nbconvert --to slides your_talk.ipynb --post serve
More about useage ange converting to the PDF can be found on the RISE documentation page on useage.
No Powerpoint (.ppt/.odp)
RISE's back end uses reveal.js. Unfortunately there is no way to go from a reveal.js presentation to powerpoint. Having said that, if there's a way we can jerry-rig something together using the the given capabilties of RISE and reveal.js please let me know.
Ongoing list of data references:
- Gapminder: https://github.com/jennybc/gapminder/raw/master/inst/gapminder.tsv
- Survey: Comes from the Software-Carpentry SQL lesson
- Ebola: www.github.com/cmrivers/ebola
Links to teaching sessions
I've taught out of the book while I was writing it. Here you can find the various tutorials and workshops I've taught (pre and post when the book was officially published). You can also checkout my talks page for other things not completely on Pandas.
|Online Live Training||https://github.com/chendaniely/2017-12-04-pandas_live, https://github.com/chendaniely/2018-05-pandas_live, https://github.com/chendaniely/2018-06-pandas_live|
|Whirlwind tour of Python||https://github.com/chendaniely/2017-10-26-python_crash_course|
|SciPy 2017 Pandas Tutorial||https://github.com/chendaniely/scipy-2017-tutorial-pandas||https://www.youtube.com/watch?v=oGzU688xCUs|
|PyData Carolinas 2016 Tutorial||https://github.com/chendaniely/2016-pydata-carolinas-pandas||https://www.youtube.com/watch?v=dye7rDktJ2E|
Other random goodies
- pandas .head() to .tail() (Beginner)
- SciPy 2018 Tutorial
- Dillon Niederhut, Tom Augspurger, Joris Van den Bossche
- Andreas C. Müller - Lecturer in Data Science Courses COMS W4995 Applied Machine Learning :
- Scipy 2017 list of tutorial/talks/links: https://github.com/chendaniely/scipy_2017_notes
- Titus Brown's "Data Intensive Biology" Training page: http://dib-training.readthedocs.io/en/pub/