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Catalogue / Development

Python: Programming, Automation and Data Analysis

Learn Python from scratch up to professional use: language basics, functions, modules, files, objects, administration scripts, APIs, data analysis, testing and security, up to a complete sales analysis tool for an argan cooperative.

  • Beginner to intermediate
  • 14 lessons
  • 16 h 15 min

A MasterLinux course · Original text

What you will learn

  • Install Python, use the interpreter, write and run scripts, and isolate each project in a virtual environment
  • Master basic types, strings, f-strings, conditions and loops
  • Organize data with lists, tuples, dictionaries, sets and comprehensions
  • Write clean, documented functions, then split a program into modules and packages
  • Read and write text, CSV and JSON files, and handle errors with exceptions
  • Model a business domain with classes, inheritance and dataclasses
  • Automate Linux server administration and talk to HTTP APIs
  • Analyze sales, test your code and apply security best practices

Course content

14 lessons · 16 h 15 min
Section 1 — Language basics4 lessons · 3 h 40 min
  1. Python: installation, interpreter, first script, venv and pip Preview45 min
  2. Variables, types, opérateurs, chaînes et f-strings 55 min
  3. Conditions et boucles : if, for, while, range, break et continue 55 min
  4. Listes, tuples, dictionnaires, ensembles et compréhensions 1 h 5 min
Section 2 — Structuring your code4 lessons · 4 h 30 min
  1. Fonctions : paramètres, valeurs par défaut, *args, **kwargs, portée et docstrings 1 h 5 min
  2. Modules, paquets et bibliothèque standard : os, pathlib, datetime, json, csv 1 h 10 min
  3. Fichiers et exceptions : with, try/except/finally, lever ses propres exceptions 1 h 5 min
  4. Programmation orientée objet : classes, héritage et dataclasses 1 h 10 min
Section 3 — Python at work4 lessons · 4 h 55 min
  1. Automatiser l'administration système : subprocess, shutil, logs et argparse 1 h 15 min
  2. Requêtes HTTP et API : urllib, requests, JSON et une petite API (FastAPI en présentation) 1 h 15 min
  3. Données : CSV, statistiques et pandas en présentation 1 h 15 min
  4. Tests et qualité : unittest, pytest, typage, ruff et black 1 h 10 min
Section 4 — Security1 lesson · 1 h 10 min
  1. Bonnes pratiques et sécurité : secrets, entrées utilisateur et dépendances 1 h 10 min
Section 5 — Project1 lesson · 2 h
  1. Projet : outil d'analyse des ventes d'une coopérative (CSV vers rapport) 2 h

Requirements

  • No programming prerequisites
  • Able to use a computer and copy files
  • Linux terminal basics help for the labs (the “Fundamentals” course is recommended)

Who is this course for?

  • Complete beginners who want to learn a first language that is useful everywhere
  • System administrators who want to replace long shell scripts with reliable Python tools
  • Data analysts, accountants and management controllers who want to automate their Excel spreadsheets and reports
  • Developers from other languages (PHP, Java, JavaScript) moving to Python for back-end or data work
  • Computer science students (BTS, DUT, bachelor’s degree, engineering schools) preparing for an internship