GUI basics with Python’s Tkinter. Create windows, use widgets (Label, Button, Entry), manage layouts (pack, grid), handle events, and get user input.
Programming with Python | Chapter 24: Introduction to GUI Programming with Tkinter Read More »
Understand web APIs (REST, HTTP). Use Python’s requests library to make GET/POST requests, handle responses (status codes, JSON), pass parameters, and send data
Programming with Python | Chapter 23: Working with APIs and the requests Library Read More »
Learn 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).
Programming with Python | Chapter 22: Working with CSV and JSON Data Read More »
Concise list creation with list comprehensions and memory-efficient iteration with generator expressions. Conditionals and nesting, e dict/set comprehensions.
Programming with Python | Chapter 21: List Comprehensions and Generator Expressions Read More »
Work with dates and times using Python’s datetime module. Learn about date, time, datetime, timedelta objects, formatting (strftime), and parsing (strptime).
Programming with Python | Chapter 20: Working with Dates and Times (datetime module) Read More »
Explore the pytest framework. Write simple test functions using assert, utilize fixtures (@pytest.fixture), parameterize tests (@pytest.mark.parametrize).
Programming with Python | Chapter 19: Testing with pytest (Alternative Framework) Read More »
Learn unit testing in Python using the built-in unittest module. Structure tests with TestCase, write test methods (test_), use assertions, and run tests.
Programming with Python | Chapter 18: Testing with unittest Read More »
Resource management using Python’s with statement and context managers. Learn __enter__/__exit__ protocol and create custom managers via classes or contextlib.
Programming with Python | Chapter 17: Context Managers and the with Statement Read More »
Learn Python decorators (@) to modify functions. Understand first-class functions, closures, wrapper functions, use functools.wraps for metadata preservation.
Programming with Python | Chapter 16: Decorators Read More »
Python’s iteration protocol (__iter__, __next__). Learn about iterables vs iterators, how for loops work, and create memory-efficient generators using yield.
Programming with Python | Chapter 15: Iterators and Generators Read More »
