Getting Started w/ Python: Difference between revisions

 
(27 intermediate revisions by the same user not shown)
Line 2: Line 2:




== Installation and Setup ==
== Installation ==


# Install [https://www.python.org/downloads/ Python for Windows]
# Install [https://www.python.org/downloads/ Python for Windows]
Line 11: Line 11:
### Jupyter
### Jupyter


== Setup ==
== Setup pySara ==


# Create a Working Directory (Documents > FOQA)
# Create a Working Directory (Documents > FOQA)
Line 17: Line 17:
## File > Open Folder > Select Folder
## File > Open Folder > Select Folder
## If prompted, Trust the folder
## If prompted, Trust the folder
## Create a Folder
# Download pySara from Teams > FOQA > Files > Python > pysara.zip and extract to your new working directory
##
# From the pysara folder extracted to your working directory, double click on Getting Started.ipynb. It should open in VSCode
# Download pySara from Teams > FOQA > Files > Python > pysara.zip and extract to your working directory
# To install required libraries:
# From the pysara folder extracted to your working directory, double click on Getting Started.ipynb
#* Terminal menu > New Terminal
# To install libraries, from the Terminal menu > New Terminal
#* pip install pandas seaborn numpy requests plotly
## pip install pandas seaborn numpy
# Follow the instructions in the notebook to install


== Jupyter Introduction ==
== Jupyter Introduction ==
# Cell Types: Code and Markup
# Shortcuts (hit escape to enter command mode)
#* Shift Enter: Execute Cell
#* A: Add Cell Above
#* B: Add Cell Below
#* DD: Delete Cell
#* F: Find/Find and Replace
#* Enter: Enter edit mode
# Markdown
#* Headers
#* Lists
# Markdown Guide: https://www.ibm.com/docs/en/watson-studio-local/1.2.3?topic=notebooks-markdown-jupyter-cheatsheet


== Python Introduction ==
* Good Tutorial
*# Open https://github.com/jvdkwast/Python3_Jupyter_Notebook
*# Click Code > Download ZIP
*# Download to your working directory and Extract
*# Double click on PythonIntro.ipynb


== Python Introduction ==


* Python Basics
*# whitespace
*# imports & libraries
*# Variables (numbers, strings, lists, tuples, dictionaries, objects)
*# functions
*# looping
*# if, elif, else


== Pandas and Data Manipulation ==
== Pandas and Data Manipulation ==
* Pivot Tables
* Plotting
** [https://www.w3schools.com/python/pandas/pandas_plotting.asp Matplotlib]
** [https://elitedatascience.com/python-seaborn-tutorial Seaborn]
** [https://plotly.com/python/getting-started/ Plotly]
== Python and Proxies ==
PIP (primary package manager for python) will use the following locations on windows:
* User: C:\Users\<<username>>\pip\pip.ini
* User: C:\Users\<<username>>\AppData\Roaming\pip\pip.ini
* System: C:\ProgramData\pip\pip.ini
Create a pip.ini file in one of these locations, and then copy these contents into it:
<pre>    [global]
    trusted-host = pypi.python.org
                  pypi.org
                  files.pythonhosted.org
    proxy = https://internet.proxy.fedex.com:3128
</pre>

Latest revision as of 16:13, 13 January 2023


Installation

  1. Install Python for Windows
    1. Add Python to Environment Variables (Checked)
  2. Install VSCode for Windows
    1. From Extensions, install the following:
      1. Python
      2. Jupyter

Setup pySara

  1. Create a Working Directory (Documents > FOQA)
  2. Open Working Directory from VSCode
    1. File > Open Folder > Select Folder
    2. If prompted, Trust the folder
  3. Download pySara from Teams > FOQA > Files > Python > pysara.zip and extract to your new working directory
  4. From the pysara folder extracted to your working directory, double click on Getting Started.ipynb. It should open in VSCode
  5. To install required libraries:
    • Terminal menu > New Terminal
    • pip install pandas seaborn numpy requests plotly
  6. Follow the instructions in the notebook to install

Jupyter Introduction

  1. Cell Types: Code and Markup
  2. Shortcuts (hit escape to enter command mode)
    • Shift Enter: Execute Cell
    • A: Add Cell Above
    • B: Add Cell Below
    • DD: Delete Cell
    • F: Find/Find and Replace
    • Enter: Enter edit mode
  3. Markdown
    • Headers
    • Lists
  4. Markdown Guide: https://www.ibm.com/docs/en/watson-studio-local/1.2.3?topic=notebooks-markdown-jupyter-cheatsheet

Python Introduction


  • Python Basics
    1. whitespace
    2. imports & libraries
    3. Variables (numbers, strings, lists, tuples, dictionaries, objects)
    4. functions
    5. looping
    6. if, elif, else

Pandas and Data Manipulation

Python and Proxies

PIP (primary package manager for python) will use the following locations on windows:

  • User: C:\Users\<<username>>\pip\pip.ini
  • User: C:\Users\<<username>>\AppData\Roaming\pip\pip.ini
  • System: C:\ProgramData\pip\pip.ini

Create a pip.ini file in one of these locations, and then copy these contents into it:

    [global]
    trusted-host = pypi.python.org
                   pypi.org
                   files.pythonhosted.org
    proxy = https://internet.proxy.fedex.com:3128