Python Programming Mastery

Explore Python's core data types in part 1, including integers, floats, complex numbers, and booleans; learn variable creation, type checking, and basic arithmetic, with notes on ranges and infinity.

Master the bytes data type in Python, learn its immutability, range 0–255, and how to create, index, and convert between bytes and strings using ASCII and Unicode encodings.

Learn how Python infers variable types, handles assignment (including multiple variable assignments), and applies arithmetic operators with correct precedence, plus type conversions among int, float, string, and bool.

Master python's built-in math functions such as abs, pow, min, max, floor, ceil, and round, and import the math module for pi, factorial, log, exp, and trig and hyperbolic functions.

Explore Python string functions including isalpha, isdigit, isalnum, islower; and methods like startswith, endswith, upper, lower, capitalize, swapcase, strip, split, partition, and string conversion with str and chr.

Master Python's conditional expressions to select between true and false results in one line, illustrated by age-based status, temperature messages, even/odd checks, and circle area calculation.

Master Python lists as dynamic, mutable containers that are indexed from zero, support operations like append, insert, delete, remove, and copy, and cover sorting, reversing, and unpacking.

Explore the tuple data type in Python as an immutable container, created with parentheses and a comma for single-item cases, contrasting with lists and using tuple() to construct.

Master Python set data type, including no duplicates and unordered storage. Learn operations like add, remove, discard, clear, and set relations such as union, intersection, difference, and frozenset immutability.

Explore Python function arguments, including positional and keyword arguments, and the use of *args and **kwargs for variable-length input, with correct ordering and matching.

Explore default arguments and unpacking in Python functions, and learn how default values work and how to pass arguments via position, keywords, and dictionary unpacking.

Master Python constructors and destructors with __init__ and __del__, and learn how instance and class variables work, including counting objects via a class variable and class methods.

Explore Python inheritance types, including single inheritance, hierarchical inheritance, and multiple inheritance, with examples of instance and subclass checks and explicit base class constructors.

Explore the diamond problem in multiple inheritance and how left-to-right mro resolves member ambiguity. Review abstract classes with ABC and @abstractmethod, implement abstract methods, and note Python's runtime polymorphism considerations.

Learn how the zip function combines multiple iterables into an iterator of tuples, then iterate with for loops, unpack with the star operator, and convert results to lists.

Explore how iterators enable looping over strings and lists by using __iter__ to obtain an iterator and next() to fetch items, while for loops automate this.

Identify syntax errors versus runtime exceptions in Python, and learn to handle them with a try-except block, catching zero division and name errors, and grouping multiple exceptions.