Python Fundamentals II

Introduction and setup

Course introduction

Pre-course questions

Installing Python

Installing Python on Windows

Installing Python on MacOS

Installing Python on Linux

Visual Studio Code IDE

Download and install VSCode

Starting VSCode

VSCode extensions for Python

VSCode GUI tour

Run and debug code in VSCode

Creating and configuring projects

Create and open projects from the command line

Create and run a file

Debugging your code

Run configurations

Other ways to run code

Formatting code and saving a workspace

Modules and packages

Modules and the import statement

What is a module and why do we need it?

The import statement

Valid modules names

Runnable Python modules

Modules vs classes

Modules: The Quiz

Structure your project with packages

What is a package?

An example package

Importing modules in __init__.py

Create a runnable package with __main__.py

Packages and modules: The Quiz

Wrapping up: modules and packages

Virtual environments and package management

Creating and using virtual environments

Why you need virtual environments

Creating and activating virtual environments

Why and how does a virtual environment work?

Deactivating and deleting a virtual environment

Virtual environments practice session

Virtual Environments: The Quiz

Installing packages with Pip

Installing pip itself

Install and uninstall packages

How to use your installed packages

The requirements.txt file

More pip commands

Some notes on the Python Package Index

Pip practice session

Poetry: The ultimate package manager

Installing Poetry

Starting a new project

Adding and removing dependencies

Updating packages

Using your project’s venv

Using poetry with existing project

Poetry cheat sheet / summary

Poetry practice session

Bonus practice: converting existing project to poetry

Pipenv: another package manager

How to use Pipenv

How does Pipenv work?

More Pipenv features

Course Project: building a package

Practice session: converting a script into a package

Planning our conversion

Setup of our TODO project

Executing the conversion to a package

Adding Poetry (and some color!)

Pyinstaller

Intro to PyInstaller

How PyInstaller works

Create a binary using PyInstaller

Create a single executable file

Importing external libraries

Making a binary from the TODO app

Step 1. Install PyInstaller

Step 2. Build an executable

Limitations and useful tips and tricks

Command line options

Tips and tricks

Wrapping up

Modules: The Quiz

Python Fundamentals II Modules and the import statement Modules: The Quiz

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Question 1 of 3

1. Question

Which statements are true about modules? Multiple answers can apply.

Wildcard imports (import * from module_name) save you time and space, so we should prefer them over importing individual elements.

Modules allow us to reuse code more easily

Modules are way to group code together, allowing us to organize our code base.

You can't create your own modules, they are part of the Python distribution.

You can import entire modules, but you can also import elements from a module

You can rename modules at import time, e.g. to shorten their name when you need to type in the name a lot.

Any file that contains Python code, is also a module.

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Question 2 of 3

2. Question

Why would you add a section starting with if name == "__main__" to your Python file?

To prevent others from using a script file as a module.

To make the file usable as both a module and a script.

To execute some code every time the module gets imported.

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Question 3 of 3

3. Question

Why can’t module names contain spaces (or any other whitespace characters)?

It's not allowed because you would be unable to import and use them. A space in a module name would break the syntax in the Python code.

Whitespace characters would make them less readable

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