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Python — From Zero to Production

50+ hours 12 Modules 12 Hands-on Labs PY-420

Course Description​

This course takes you from absolute beginner to production-ready Python developer. You will learn core Python syntax, master Object-Oriented Programming, handle files and errors professionally, write advanced patterns like generators and async code, analyze data with NumPy and Pandas, and deploy web APIs with Flask.

Every module combines theory lessons, a hands-on lab, and an interactive quiz — the same battle-tested structure used in professional certification programs.

TrackModulesFocus
Foundations00 → 03Syntax, data types, control flow, data structures
Intermediate04 → 08Functions, OOP, modules, file I/O, error handling
Advanced09 → 11Generators, async, data science, Flask APIs

Learning Objectives​

By the end of this course, you will be able to:

  1. Write clean, idiomatic Python from scratch
  2. Design programs using Object-Oriented Programming principles
  3. Manage data with Python's built-in structures and the collections module
  4. Read and write files in multiple formats (text, CSV, JSON)
  5. Handle errors and exceptions professionally
  6. Apply advanced patterns: generators, decorators, async/await
  7. Analyze data with NumPy and Pandas
  8. Build REST APIs with Flask

Course Structure​

Prerequisites​

RequirementDetails
Programming basicsUnderstanding of what a variable and a function are (any language)
ComputerWindows, macOS, or Linux with internet access
No Python experience requiredThe course starts from absolute zero

Hands-on Labs​

LabModuleWhat You BuildDuration
Lab 00IntroductionInstall Python, configure VS Code, run first script30 min
Lab 01FundamentalsCalculator with variables, operators, formatted output30 min
Lab 02Control FlowNumber guessing game with loops and conditions30 min
Lab 03Data StructuresStudent grade book using lists and dictionaries45 min
Lab 04FunctionsFunctional pipeline with map, filter, reduce, decorators45 min
Lab 05OOPBank account system with inheritance and validation60 min
Lab 06ModulesCreate and publish a reusable utility package30 min
Lab 07File I/OCSV/JSON data processing pipeline45 min
Lab 08Error HandlingRobust CLI app with logging and custom exceptions45 min
Lab 09Advanced PythonAsync web scraper with generators60 min
Lab 10Data ScienceSales data analysis with Pandas + chart with Matplotlib60 min
Lab 11FlaskRESTful task API with JSON endpoints60 min

Resources​

Official Python DocsPyPI — Python Package IndexReal Python TutorialsFlask DocumentationPandas DocumentationNumPy Documentation

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