Syntax

01 Conditions Practical exercises with conditional statements in Python: comparing numbers, checking ranges, working with strings, passwords, percentages, and basic if, elif, else logic. 15 tasks → 02 Conditions 2 Additional practice with conditionals in Python: string checks, text lengths, characters, slices, string methods, logical and/or operators, and simple input processing scenarios. 11 tasks → 03 String Methods & f-strings Learn the most important built-in string methods and how to format strings using f-strings. 10 tasks → 04 While loop Python while loop exercises: repeating actions, counters, summing numbers, entering until a condition, break, looping through strings, and basic character processing. 14 tasks → 05 for loop, list, tuple Python for loop practice on lists and tuples: iterating through collections, filtering values, counting, finding minimums and maximums, working with strings, dates, and nested data. 15 tasks → 06 List & Tuple Methods Master all list methods and learn the key differences between lists and tuples. 10 tasks → 07 Functions Basic exercises on functions in Python: creating functions, parameters, return statements, checking numbers and strings, working with lists, tuples, and simple calculations. 10 tasks → 08 Functions level 2 Advanced Python function practice: string and number handling, logical tests, list comprehensions, filtering, counting, finding values, and writing small reusable functions. 20 tasks → 09 Functions: Level 3 Python Functions Level 3 Exercises: Functions with modes, flags, multiple conditions, string, list, and number handling to develop algorithmic thinking. 15 tasks → 10 OOP Basics Practical exercises on the basics of OOP in Python: creating classes and objects, attributes, methods, __init__, changing object state, and simple entity modeling. 11 tasks → 11 OOP: Inheritance and Dunder Methods OOP problems in Python on inheritance and special methods: child classes, overriding behavior, __str__, __len__, extending base classes, and working with the object model. 9 tasks → 12 OOP, dictionaries, algorithmic thinking Python exercises on OOP, dictionaries, and algorithmic thinking: classes for data analysis, counting words and characters, working with ratings, passwords, statistics, and dictionary transformations. 15 tasks → 13 Dictionary Methods Learn all essential dictionary methods and dict comprehensions for clean and efficient data manipulation. 10 tasks → 14 Sets, dictionaries, error handling Python practice with sets, dictionaries, and error handling: unique values, common symbols, try/except, safe data handling, word grouping, and string parsing. 15 tasks → 15 Set Methods Learn how to work with sets: adding and removing elements, and set operations like union, intersection, and difference. 10 tasks → 16 Error Handling Basics Learn how to handle errors gracefully using try/except/else/finally, raise your own exceptions, and write robust Python programs. 10 tasks → 17 Working with files: reading and writing Hands-on exercises for working with files in Python: reading text, writing lines, appending data, counting lines and words, processing file contents, and creating simple reports. 10 tasks →

01 List and dict comprehensions Build lists, dicts, and sets in a single expression. Covers list/dict/set comprehensions and generator expressions. 10 tasks → 02 lambda, map, filter, reduce Functional tools for transforming and filtering collections without writing explicit loops. 10 tasks → 03 itertools Master Python's itertools module: tools for working with iterators, generating sequences, and solving combinatorics problems efficiently. 10 tasks → 04 Recursion Functions that call themselves. Covers base cases, recursive patterns, and when recursion is the right tool. 10 tasks → 05 Sorting and custom comparators sorted() and list.sort() with key= functions, reverse, and multi-key comparators. 10 tasks → 06 datetime and json modules Working with dates and times using the datetime module, and serializing data with the json module. 10 tasks → 07 pathlib Learn to work with file system paths using Python's modern pathlib module — cleaner and more powerful than os.path. 10 tasks → 08 collections: Counter, defaultdict, namedtuple Specialized container types: Counter for counting, defaultdict for grouped data, namedtuple for structured records. 10 tasks → 09 dataclasses Learn how to use Python dataclasses to define clean, boilerplate-free data containers with automatic __init__, __repr__, and __eq__ generation. 10 tasks → 10 Regular expressions Pattern matching with the re module. Covers search, match, findall, groups, and common patterns. 10 tasks →

01 Decorators Functions that wrap other functions to modify or extend their behaviour. Covers `@` syntax, decorators with arguments, stacking decorators, and `functools.wraps`. 10 tasks → 02 OOP Class Method Decorators Master @classmethod, @staticmethod, @property, @property.setter and @property.deleter. Learn when each decorator is appropriate and how they interact with inheritance. 10 tasks → 03 Generators and itertools Functions that yield values one at a time instead of building a full list. Covers `yield`, `yield from`, generator expressions, and itertools for efficient pipelines. 10 tasks → 04 Context managers Objects that manage setup and teardown with the `with` statement. Covers `__enter__`/`__exit__`, `contextlib.contextmanager`, and resource management patterns. 10 tasks → 05 Type hints and dataclasses Static annotations that document intent and power IDE tooling. Covers function signatures, `Optional`, `Union`, `TypedDict`, `Protocol`, and `dataclasses`. 10 tasks → 06 Async Python Write concurrent programs using `async def`, `await`, and `asyncio`. Covers coroutines, `asyncio.gather`, tasks, `asyncio.Queue`, and async iterators. 10 tasks → 07 Testing with pytest Write reliable tests using pytest. Covers test functions, fixtures, parametrize, monkeypatch, and testing exceptions. 10 tasks → 08 functools: partial, lru_cache, and more Master the functools module: `partial`, `wraps`, `lru_cache`, `cached_property`, `total_ordering`, and `singledispatch`. 10 tasks →