Using/Running Python in VS Code

1. cd into the directory that will house the project
2. Using the command python3 -m venv venv/ will create the virtual environment that will house the required dependencies.
3. Next, "activate" the virtual environment using the command source venv/bin/activate
   • Now when you use pip install <package> it will install that package to the virtual environment for use.

• If you start getting a unresolved import ____ or unable to import ____ error in your script, you will need to select a different Python interpretor.
  • There should be multiple options to select from, but the one I've found the most success with is the "venv/bin/python3.9" interpreter.
• If you need to update the version of python:
  1. Download from the official python website
  2. Deactivate the current virtual environmnet
  3. Remove the venv directory from your project
  4. Create a new venv pointing to venv/bin/python3
  5. Run the command python3 -m venv --upgrade YOUR_VENV_DIRECTORY

Insight was gained from this article.

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Requests Library

• Dyanmic URL parameters can be achieved using either an F-String or the format() method.
• Default encoding will be the default encoding of your virtual environment. If one isn't set, unicode will be used. (This is why I specified the encoding when writing to the file.)

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Context Managers

• Context managers spin up the needed resources for the operation at hand, and then automatically closes those resources after completion. This is why the .close() method isn't required.
• Using with effectively can help avoid resource leaks and make code easier to read.
• Using context managers with file operations is a common use case, but there are other uses that make sense.
  • Connecting to a DataBase
  • Lock objects in threading
  • Custom conext management classes using the contextlib

  from contextlib import contextmanager

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NumPy

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Pandas

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This project is currently a work in progress.