Python: Setting up the environment

Included in the course

What you'll learn

• Install Python in the operating system
• Set up a local environment to run Python code
• Run scripts, modules, and packages

Description

In this course, you will learn how to set up an environment. You will learn about virtual environments, the standard pip package manager, and the alternative Poetry manager. You will learn how to create conflict-free dependencies for your programs, run programs locally, and create install files with entry points. You will learn how to create a project and link libraries to it. The knowledge you gain from this course will help you organize your local environment intelligently and use best practices for managing your code. This course is a must for anyone who wants to learn how to program in Python. To make learning easier, you should know the basics of the command line and the Git version control system.

Course program

• 1

  Introduction

  Getting to know the course and its goals

  theory
• 2

  Installing Python

  Installing the interpreter and learning how to use the REPL

  theory
• 3

  Working with the REPL

  Finding out what Python REPL is and how to use this powerful tool

  theory
• 4

  Read more about Python

  Introducing of the concept of interpretation

  theory
• 5

  Packages and indices

  Exploring code bundling and package indices

  theory
• 6

  Setuptools, distutils, and pip modules

  Discussing the distutils library, the Setuptools package, and the pip installer

  theory
• 7

  Installing pip

  Learning how to install pip and download the first package

  theory
• 8

  Alternative package sources

  Learning how to use pip to install packages from alternative sources

  theory
• 9

  Virtual environments

  Learning to avoid interdependencies and clutter in the global environment

  theory
• 10

  Scripts

  Learning to write and run scripts

  theory
• 11

  Running modules and packages

  Learning how to design modules and packages that can be imported and run as scripts

  theory
• 12

  Accessibily for working with Python

  Learn about tools that improve the development, packaging, and deployment

  theory
• 13

  Getting started with Poetry

  Learning how to install and set up Poetry to create your first project

  theory
• 14

  Poetry and dependency management

  Learning how to add dependencies to a project and run developer tools

  theory
• 15

  Poetry and scripts

  Learning how to describe the points of entry into the program in Poetry projects

  theory
• 16

  Building a package distribution using Poetry

  Building project distributions and learning to install them with pip

  theory
• 17

  Additional resources

  Some materials the Hexlet team have picked up. This will give you a more in-depth understanding of the topic