Edocti
Advanced Technical Training for the Software Engineer of Tomorrow
Edocti Training

Essential Python Topics

Beginner
21 h
4.7 (529 reviews)

Scheduled sessions

Starts: Jul 27, 2026 , 3 days
Live online Confirmed EN ● Instructor-led
€ 270 Enroll
Starts: Aug 17, 2026 , 3 days
Live online Confirmed EN ● Instructor-led
€ 270 Enroll
Essential Python Topics

Essential Python 3 foundations: Thoroughly cover the core building blocks and syntax of Python required for everyday professional development.

Get immediate hands-on practice implementing essential data structures, functions, modules, and Object-Oriented Programming (OOP) concepts.

Work directly with error handling, automated testing, package management, and virtual environments to build production-ready code.

Gain practical experience: Spend ~70% of the class time actively writing, debugging, and executing code in guided, instructor-led labs.

How this helps: Become fully confident and independent in using Python to build scripts, automation apps, and functional libraries.

Who it’s for: Designed for individuals completely new to Python, or developers coming from other languages looking to solidify their Pythonic basics.

The course curriculum also includes optional material covering Python's vast standard libraries and useful third-party tools.

Skills You Will Learn

Python 3 Fundamentals Data Structures & Collections File I/O & Serialization Object-Oriented Programming Functional Techniques Exception Handling Virtual Environments Testing with Pytest

Curriculum

Introduction to Python

  • Install, REPL, first lines of code; running scripts
  • Syntax essentials and the pythonic mindset (readability, EAFP vs LBYL)
  • Core data types: numbers, bool, str vs bytes (Unicode basics), lists/tuples/sets/dicts, slicing & comprehension basics
  • Exceptions and error handling patterns
  • I/O basics: open/read/write with context managers; paths with pathlib

More I/O (files & formats)

  • CSV, JSON and simple XML; quick PDF/text processing overview
  • Binary I/O, seeking and file locking (brief)
  • Working with dates/times (datetime) and time zones (overview)

Practical functional programming

  • First-class functions; lambda, map/filter (when to use or avoid)
  • Comprehensions and generator expressions
  • Closures, partials and small pipelines
  • Iterators & generators: yield, yield from

Practical OOP in Python

  • Classes & objects; dunder methods; properties
  • Composition and inheritance (single & multiple)
  • Data classes for plain data structures
  • Decorators for functions/methods; simple descriptors

Misc topics (tools that matter)

  • Regular expressions (re) — practical patterns
  • Concurrency: intro to threading vs multiprocessing; when to consider asyncio
  • Networking basics: sockets and a tiny client/server example

Environment setup & workflow

  • venv/virtualenv basics; pip and PyPI; requirements.txt vs pyproject.toml (brief)
  • Package managers: pipx/conda (when useful)
  • Editors, linters & formatters: ruff/flake8, black; basic debugging tips

Creating packages & external libraries

  • Project structure and modules/packages
  • Install a library from PyPI; read docs and examples effectively
  • Intro to packaging a simple library (wheel)

Ad‑hoc solutions to user‑defined problems

  • Mini-projects proposed by participants; guided design and implementation

Optional modules

Optional — Testing & typing

  • pytest basics; simple fixtures and parametrization
  • Type hints 101; mypy as a sanity check

Course Day Structure

  • Part 1: 09:00–10:30
  • Break: 10:30–10:45
  • Part 2: 10:45–12:15
  • Lunch break: 12:15–13:15
  • Part 3: 13:15–15:15
  • Break: 15:15–15:30
  • Part 4: 15:30–17:30

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