Didacteo

Introduction to Python

Intro to Python: Build Real Projects

D

Didacteo

Instructor

Cover image for Introduction to Python

Difficulty Level

Beginner

Accessible to everyone

Estimated duration

269 min

Progress

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Introduction

What you’ll learn

  • Set up Python, use the REPL, and run scripts in a real development environment
  • Write, debug, and test programs using control flow, loops, comprehensions, and built-in data structures
  • Create reusable code with functions, modules, and packages; use key standard libraries and third-party packages
  • Work with files, CSV/JSON data, and handle exceptions and context managers safely
  • Design basic object-oriented programs, apply testing and best practices, and deliver a capstone project

Prerequisites

  • Basic computer skills (install software, use a text editor and a web browser)
  • No prior programming experience required—course starts from fundamentals
  • A computer (Windows/macOS/Linux) with internet access to download Python and course materials

Course content

Explore the lessons included in this program.

Start Learning

Course Introduction

Installing Python and setting up your environment
Using the REPL and running Python scripts

Python Basics

Syntax, indentation, and comments
Variables and basic data types
Basic input and output
Type conversion and simple expressions

Control Flow

Boolean logic and comparison operators
if, elif, else statements
for loops and while loops
Comprehensions: list, dict, and set

Built-in Data Structures

Lists and common list methods
Tuples and immutability
Dictionaries: keys, values, and common operations
Sets and set operations

Functions and Modules

Defining and calling functions
Parameters, return values, and scope
Lambda functions and higher-order functions
Organizing code with modules and packages

Working with Files and Exceptions

Reading and writing text files
Working with CSV and JSON files
Exception handling with try/except/finally
Context managers and the with statement

Object-Oriented Programming

Classes and creating objects
Instance and class attributes, methods
Inheritance and polymorphism
Special methods (dunder methods) and string representations

Standard Library and Packaging

Useful standard libraries (os, sys, datetime, pathlib)
Virtual environments and pip package management
Using third-party packages (requests, numpy basics)

Testing, Debugging, and Best Practices

Debugging techniques and using breakpoints
Writing tests with unittest or pytest
Code style (PEP 8), linting, and documentation

Final Project and Next Steps

Capstone mini-project: plan and requirements
Building, testing, and presenting your project
Next steps: learning paths and resources