Programming with Python Course
About This Course
Welcome to Programming with Python — your first step into the world of software development! Whether you’re aiming to build websites, automate tasks, analyze data, or create real-world applications, Python is the perfect starting point for beginners.
This course is structured around 25 carefully crafted chapters, each building upon the previous one to help you develop a strong foundation. You’ll start from the absolute basics — installing Python and writing your first lines of code — and gradually advance towards topics like object-oriented programming, error handling, working with real-world data, and building small projects.
By the end of this course, you will be able to:
- Write clean and efficient Python code
- Understand core programming concepts like variables, loops, functions, and classes
- Build simple command-line applications
- Work with files, JSON, and basic data visualization
- Apply best practices in coding style and debugging
This course emphasizes hands-on practice and real-world examples. Every major topic is reinforced with practical exercises to solidify your understanding. No prior programming experience is needed — only curiosity and a willingness to learn!
Let’s dive in and start your programming journey with Python!
Prerequisites
- A computer with internet access
- A willingness to learn and practice
- No prior programming experience required!
Course Structure
| № | Chapter |
|---|---|
| 1 | Programming with Python | Chapter 1: Introduction to Programming & PythonProgramming basics, what Python is, why it’s popular, high vs. low-level languages, interpreters, and set up your Python environment. Write your first program. |
| 2 | Programming with Python | Chapter 2: Variables, Data Types, and Basic OperatorsUnderstand Python variables for storing data, naming rules, fundamental data types (int, float, str, bool), type checking, arithmetic, and assignment operators. |
| 3 | Programming with Python | Chapter 3: Strings, Indexing, and SlicingExplore Python strings as sequences. Learn indexing, slicing, immutability, common string methods (len, lower, upper, strip, replace, find), and f-strings. |
| 4 | Programming with Python | Chapter 4: Control Flow – Conditional Statements (if/elif/else)Learn Python control flow using conditional statements. Understand comparison/logical operators and implement decision-making with if, elif, and else. |
| 5 | Programming with Python | Chapter 5: Data Structures – Lists and TuplesDiscover Python lists (ordered, mutable sequences) and tuples (ordered, immutable). Learn creation, indexing, slicing, modification (lists), and use cases. |
| 6 | Programming with Python | Chapter 6: Control Flow – Loops (for, while)Automate repetitive tasks with Python loops. Learn for loops for sequences and while loops for condition-based repetition. Use break/continue/else. |
| 7 | Programming with Python | Chapter 7: Data Structures – Dictionaries and SetsExplore Python dictionaries (key-value mappings) and sets (unordered unique items). Learn creation, access, modification, iteration, and set operations. |
| 8 | Programming with Python | Chapter 8: Functions – Defining and CallingLearn function definition (def), calling, parameters vs arguments (positional, keyword), default values, return statement, docstrings, and variable scope. |
| 9 | Programming with Python | Chapter 9: Modules, Packages, and ImportsOrganize Python code with modules (.py files) and packages. Learn import, from…import, aliasing (as), standard library, and installing packages with pip. |
| 10 | Programming with Python | Chapter 10: File Handling – Reading and Writing FilesLearn to read/write files in Python using open(). Understand modes (‘r’, ‘w’, ‘a’), methods (.read, .readline, .write), and using with for auto-closing. |
| 11 | Programming with Python | Chapter 11: Error Handling and ExceptionsPython exceptions and syntax errors. Handle errors gracefully using try, except (specific types), else, and finally blocks. Learn to raise exceptions. |
| 12 | Programming with Python | Chapter 12: Object-Oriented Programming (OOP) – Classes and ObjectsObject-Oriented Programming basics in Python. Define classes (class) as blueprints, create objects (instances), use __init__, and understand attributes/methods. |
| 13 | Programming with Python | Chapter 13: OOP – InheritanceInheritance in Python OOP. Create subclasses that inherit from base classes, override methods, and use super() to call parent methods, “is-a” relationship. |
| 14 | Programming with Python | Chapter 14: OOP – More on Methods and Dunder MethodsDive deeper into Python OOP methods: class methods (@classmethod), static methods (@staticmethod), and dunder methods like __str__, __repr__, __len__, __eq__. |
| 15 | Programming with Python | Chapter 15: Iterators and GeneratorsPython’s iteration protocol (__iter__, __next__). Learn about iterables vs iterators, how for loops work, and create memory-efficient generators using yield. |
| 16 | Programming with Python | Chapter 16: DecoratorsLearn Python decorators (@) to modify functions. Understand first-class functions, closures, wrapper functions, use functools.wraps for metadata preservation. |
| 17 | Programming with Python | Chapter 17: Context Managers and the with StatementResource management using Python’s with statement and context managers. Learn __enter__/__exit__ protocol and create custom managers via classes or contextlib. |
| 18 | Programming with Python | Chapter 18: Testing with unittestLearn unit testing in Python using the built-in unittest module. Structure tests with TestCase, write test methods (test_), use assertions, and run tests. |
| 19 | Programming with Python | Chapter 19: Testing with pytest (Alternative Framework)Explore the pytest framework. Write simple test functions using assert, utilize fixtures (@pytest.fixture), parameterize tests (@pytest.mark.parametrize). |
| 20 | Programming with Python | Chapter 20: Working with Dates and Times (datetime module)Work with dates and times using Python’s datetime module. Learn about date, time, datetime, timedelta objects, formatting (strftime), and parsing (strptime). |
| 21 | Programming with Python | Chapter 21: List Comprehensions and Generator ExpressionsConcise list creation with list comprehensions and memory-efficient iteration with generator expressions. Conditionals and nesting, e dict/set comprehensions. |
| 22 | Programming with Python | Chapter 22: Working with CSV and JSON DataLearn to read/write CSV files using Python’s csv module (reader/writer, DictReader/Writer) and handle JSON data with the json module (load/dump, loads/dumps). |
| 23 | Programming with Python | Chapter 23: Working with APIs and the requests LibraryUnderstand web APIs (REST, HTTP). Use Python’s requests library to make GET/POST requests, handle responses (status codes, JSON), pass parameters, and send data |
| 24 | Programming with Python | Chapter 24: Introduction to GUI Programming with TkinterGUI basics with Python’s Tkinter. Create windows, use widgets (Label, Button, Entry), manage layouts (pack, grid), handle events, and get user input. |
| 25 | Programming with Python | Chapter 25: Capstone ProjectIntegrate your Python skills in a capstone project. Get ideas (data analysis, games, APIs), learn planning steps, and apply OOP, file handling, testing etc. |