Updated with more cheat-sheets and intro

tutorial
tommyod 2017-12-30 19:13:00 +01:00
parent f9889519b4
commit 21e97480be
1 changed files with 14 additions and 9 deletions

View File

@ -1,24 +1,29 @@
![Awesome pandas logo](/img/awesome_pandas.png)
# awesome-pandas
A collection of resources for [pandas](http://pandas.pydata.org/)
([Python](https://www.python.org/)) and related subjects.
**Contents:** This page is divided into three parts.
**Contents:** This is an unofficial collection of resources for learning pandas,
an open source Python library for data analysis. Here you will find videos,
cheat-sheets, tutorials and books / papers. The curated list is divided into
three parts:
1. **pandas resources** - A collection of videos, cheat-sheets, tutorials and books related directly to pandas.
2. **Data analysis with Python resources** - Material related to adjacent
Python libraries and software such as
1. **pandas resources** - A collection of videos, cheat-sheets, tutorials and
books *directly related* to pandas.
2. **Data analysis with Python resources** - Material related to *adjacent
Python libraries and software* such as
[NumPy](http://www.numpy.org/),
[scipy](https://www.scipy.org/),
[matplotlib](https://matplotlib.org/),
[seaborn](https://seaborn.pydata.org/),
[statsmodels](http://www.statsmodels.org/stable/) and
[Jupyter](http://jupyter.org/).
3. **Miscellaneous related resources** - Resources related to general data
3. **Miscellaneous related resources** - Resources related to *general* data
analysis, algorithms, computer science, machine learning, statistics, etc.
> Pull requests are very welcome.
--------------------------------------------------------------------------------
## (1) :panda_face: pandas resources
@ -47,7 +52,7 @@ quantified roughly as follows:
| [Predicting sports winners with pandas](https://www.youtube.com/watch?v=k7hSD_-gWMw) | Robert Layton | PyCon Australia | 0:38 | 13000 | 2015 | :sweat_smile: |
| [Pandas from the Inside](https://www.youtube.com/watch?v=YGk09nK_xnM) | Stephen Simmons | PyData | 1:17 | 3000 | 2017 | :scream: |
*Know of a recent, good video? Send a pull request!* +1
*Know of a recent, good video? Send a pull request!* :+1:
### (1.2) :exclamation: Cheat-sheets
@ -118,8 +123,8 @@ quantified roughly as follows:
| [Python Profiling & Performance](https://www.youtube.com/watch?v=Dgnp28Ijm_M) | Mahmoud Hashemi | SF Python | 0:28 | 1000 | python | 2016 | Novice |
### (2.2) :exclamation: Cheat-sheets
* http://datasciencefree.com/numpy.pdf
* https://s3.amazonaws.com/assets.datacamp.com/blog_assets/Scikit_Learn_Cheat_Sheet_Python.pdf
* [Numpy Cheat Sheet](http://datasciencefree.com/numpy.pdf)
* [Python For Data Science - Scikit-Learn](https://s3.amazonaws.com/assets.datacamp.com/blog_assets/Scikit_Learn_Cheat_Sheet_Python.pdf)
### (2.3) :mortar_board: Tutorials