Milestones

• Absolute beginners
• Read & try Python official tutorial (click here) and try it on Coding Ground on Tutorials Point (click here)
  
• TO BE UPDATED
  

Running Python within the browser

• http://www.skulpt.org/
• https://trinket.io/
• http://www.codeskulptor.org/demos.html
• This gives you a shell within your browser which is able to perform git clone, wget, etc.
  http://www.tutorialspoint.com/codingground.htm

Development tools

• Anaconda ✔️useable for non-geek
  https://www.anaconda.com/download/
• Spyder (built-in with Anaconda) This works if all you need is to write short Python snippets. For projects, use VS Code/Anaconda (right below)
  
• Visual Studio Code with Anaconda. This setup should work on Linux, Mac or Windows. The idea is to use conda for Python and packages and Visual Studio for developing code (editing, debugging, unittest, etc.)
  Read more here: Using Visual Studio Code
  
• Emacs + elpy: My recommended setup, because it's Emacs, it does everything. Read more here. ✔️my  preferred setup
  
• Pyzo (Formerly was Interactive Editor for Python, IEP) - Small & fast but powerful REPL. Great replacement for the crappy IDLE built-in with Python
  http://www.pyzo.org/iep.html
• pyCharm (Community edition is Free) with code highlight, code completion, code refactoring, etc. Strong as a tank but slow.
• https://www.jetbrains.com/pycharm/download/
• Want something else?
• http://lifehacker.com/five-best-text-editors-1564907215
• http://www.slant.co/topics/12/compare/~sublime-text_vs_vim_vs_emacs

Learning Python

• Interactive Python Courses
  http://runestoneinteractive.org/library.html
• Getting started with Python
  https://www.python.org/about/gettingstarted/
• Python for absolute beginner
  http://pymbook.readthedocs.org/en/latest/
• The Hitchhiker’s Guide to Python! [Highly recommended]
  http://docs.python-guide.org
• Everything about Python that you will ever need *sarcasm*
  https://python.zeef.com/alan.richmond

Creating virtual environment for testing

Easy rite?

Download

• Portable Python (Run Python on the thumb-drive)
  http://portablepython.com/wiki/Download/

3rd libraries

• Natural language Toolkit for Python
  http://www.nltk.org/
  
• Parsing XML, HTML, etc.
  http://www.crummy.com/software/BeautifulSoup/
• Install pip
• yum install python3-setuptools
• easy_install-3.4 pip
• pip3 install [packages]
  
• Installing numpy and scipy on CPython
• yum install python-devel openblas
• pip install numpy scipy

Note: virtualenv and pip should be included in standard python distribution by default. Instead of using wrapper scripts (virtualenv or pip), one should use:

Advanced topics

• Python interview questions
  http://www.toptal.com/python/interview-questions
• Python ABC (Abstract Base Classes)
  https://docs.python.org/3/library/collections.abc.html#collections-abstract-base-classes
  
• Python antipattern
  https://realpython.com/blog/python/the-most-diabolical-python-antipattern/
• Python Testing
  http://www.jeffknupp.com/blog/2013/12/09/improve-your-python-understanding-unit-testing/
• Building a nice REPL tool with Python
  https://opensource.com/article/17/5/4-practical-python-libraries

Interesting stuff for students of HG7030 class (Natural Language Processing for Linguists)

• Introduction to Data Processing with Python
  http://opentechschool.github.io/python-data-intro/
• An introduction to text analysis with Python by Neal Caren
  http://nealcaren.web.unc.edu/an-introduction-to-text-analysis-with-python-part-1/
  
•