Programming Languages - Python

Python is an interpreted, high-level, general-purpose programming language (from Wikipedia). It is available across UNIX platform, Windows, and MacOS machines.

• Official Python homepage
• Official Documentation
  • [Python 3.10(https://docs.python.org/3.10/)
  • other versions of Python

Python References

• Data School - 15 difference sections of script/notebooks covering imports, data types, math, control flow, functions, and more.
• Python Quick Reference

Python IDEs

There are many integrated development environments (IDEs) for Python, where you can code, test, see results, etc. PyCharm is free and available across Windows, Mac, and Linux platforms. Other IDEs:

• Spyder
• Eclipse + PyDev
• IDLE (installed with Python)
• Sublime Text
• Atom
• Vim
• Emacs

Reproducible Research - Jupyter Notebooks

To perform this analysis, we will make use of Jupyter Notebooks. Jupyter Notebook is an open-source web application that allows you to create and share documents that contain live code, equations, visualizations, and narrative text. Notebooks support many programming languages including Python, R, Julia, Scala, and many more.

• Jupyter Notebook
• Jupyter Lab

Python Documentation

https://docs.python.org/3.10/

https://docs.python.org/3.10/tutorial/index.html

https://docs.python.org/3.10/library/index.html

Datascience Documentatin

http://www.data8.org/datascience/#

Pandas Documentation

http://pandas.pydata.org/pandas-docs/stable/

MatPlotLib Documentation

https://matplotlib.org/api/_as_gen/matplotlib.pyplot.html#module-matplotlib.pyplot