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README

Learning Python

This is the repository for the LinkedIn Learning course Learning Python. The full course is available from LinkedIn Learning.

Learning Python

Python—the popular and highly-readable object-oriented language—is both powerful and relatively easy to learn. Whether you're new to programming or an experienced developer, this course can help you get started with Python. Joe Marini provides an overview of the installation process, basic Python syntax, and an example of how to construct and run a simple Python program. Learn to work with dates and times, read and write files, and retrieve and parse HTML, JSON, and XML data from the web.

Installing

  1. To use these exercise files, you must have the following installed:
    • The latest version of Python, at least version 3.9 but preferably 3.10
    • A text editor such as Atom, Visual Studio Code, or another editor
  2. Clone this repository into your local machine using the terminal (Mac), CMD or PowerShell (Windows), or a GUI tool like SourceTree.
    • You can also just download a ZIP file from Github and extract the contents to your machine.
  3. Place the examples folder on your computer where they are easy to get to

Instructor

Joe Marini

Senior Director of Product and Engineering

Check out my other courses on LinkedIn Learning.

Core symbols most depended-on inside this repo

drive
called by 4
Ch2 - Basics/classes_finished.py
power
called by 3
Ch2 - Basics/functions_finished.py
func1
called by 2
Ch2 - Basics/functions_finished.py
func2
called by 2
Ch2 - Basics/functions_finished.py
cube
called by 1
Ch2 - Basics/functions_finished.py
multi_add
called by 1
Ch2 - Basics/functions_finished.py
main
called by 1
Ch2 - Basics/loops_finished.py
main
called by 1
Ch2 - Basics/conditionals_start.py

Shape

Function 33
Method 12
Class 5

Languages

Python100%

Modules by API surface

Ch2 - Basics/classes_finished.py9 symbols
Ch5 - Internet Data/htmlparsing_start.py5 symbols
Ch5 - Internet Data/htmlparsing_finished.py5 symbols
Ch2 - Basics/functions_finished.py5 symbols
Ch5 - Internet Data/jsondata_start.py2 symbols
Ch5 - Internet Data/jsondata_finished.py2 symbols
Ch5 - Internet Data/xmlparsing_start.py1 symbols
Ch5 - Internet Data/xmlparsing_finished.py1 symbols
Ch5 - Internet Data/inetdata_start.py1 symbols
Ch5 - Internet Data/inetdata_finished.py1 symbols
Ch4 - Dates and Times/formatting_start.py1 symbols
Ch4 - Dates and Times/formatting_finished.py1 symbols

For agents

$ claude mcp add learning-python-2896241 \
  -- python -m otcore.mcp_server <graph>

⬇ download graph artifact