Python Tools
Python Installation
- Anaconda (python + pip + jupyter notebook + ipython + numpy + scipy + scikit + matplotlib + … so on)
One cool thing I like in Anaconda is my control to update packages at once. Try below command if you have already installed Anaconda.
conda update
One best part in Anaconda is that it comes with package compatibility management and this reason is why I prefer Anaconda to standard Python Installer. A bit heavy but in long run I feel satisfied.
Python Virtual Environment
Virtual Environment provide you a special testing platform like a virtual environment or a virtual box for developing python project where you need to understand and track python pakages that are regularly used.
If you are fairly new to Python, I would not recommend these following tools as below are not to help you write code. Below tools are to help you write better code and user documentation.
Code-Style/PEP8 Review Tools
For flakes8, if you have sublime please set path settings carefully. Once sublime path setting is done, you can check for Sublime package manager to install
usage: post installation these packages are available as command line tools in you terminal. I am using MacBook & Anaconda 2.(something).
bash3.2$ pep8 sam.py
sam.py:46:80: E501 line too long (111 > 79 characters)
sam.py:49:80: E501 line too long (105 > 79 characters)
bash3.2$ flake8 sam.py
sam.py:6:1: F401 'time' imported but unused
sam.py:7:1: F401 're' imported but unused
sam.py:11:1: F401 'By' imported but unused
sam.py:12:1: F401 'Keys' imported but unused
sam.py:13:1: F401 'Select' imported but unused
sam.py:46:80: E501 line too long (111 > 79 characters)
sam.py:49:80: E501 line too long (105 > 79 characters)
sam.py:60:42: F841 local variable 'e' is assigned to but never used
sam.py:70:43: F841 local variable 'err' is assigned to but never used
Testing Tools
-
doctest
-
unittest
Documentation
- sphinx (needs custom* install in Anaconda)
https://www.youtube.com/watch?v=LQ6pFgQXQ0Q
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