Python Programming Course | From Basics to Real-World Skills

Explore Python numeric data types, including int, float, and complex, and decimal, binary, octal, and hexadecimal representations; cover arithmetic, comparison, logical, assignment, membership, and bitwise operations, plus type casting.

Master membership and identity operators in Python, including in, not in, and is, and learn operator precedence, left-to-right associativity, and exponentiation’s right-to-left rule.

Master Python numerics with hands-on assignments on logical conditions and assignment operators. Explore operator precedence, circle area using the math library, temperature conversion, and boolean MCQs.

Explore strings as immutable Python data types stored in memory, with 0-based indexing, slicing, and length tracking, using single, double, or triple quotes.

Explore string indexing and slicing in Python, using zero-based and negative indexing to access the last character, create substrings, and reverse strings, with immutable string behavior and length handling.

Explore escape characters in Python strings, including newline, tab, and space, and learn raw strings with r to treat escapes literally, and backslash escaping for quotes.

Explore essential Python list methods like count, index, reverse, and sort, plus built-in functions such as length, max, min, and type conversions between lists, tuples, and dictionaries.

Recap of list methods through indexing, slicing, append versus extend, list concatenation, removal, and copying, with mcqs practice.

Learn list comprehension and for loops in Python, using range to generate numbers, square each value, and build a new list, including a condition for even numbers.

Explore how tuples differ from lists in Python, learn their immutability, memory advantages, and core operations like indexing, slicing, and using count and index, and type conversions to list.

Learn how dictionaries store data as hashed key-value pairs, access values via keys, and perform insertion and deletion to manage student details like A001, B001, and C001.

Explore essential dictionary methods in Python, including dict.keys, dict.values, and dict.items, then loop with items using f-strings, and manipulate dictionaries with pop, popitem, and clear.

Learn how Python sets function as unordered, unique-element containers. Learn to create them, ensure elements are not mutable, and mutate via add, update, remove, discard, pop, and clear.

Explains core set operations in Python: intersection, union, difference, and symmetric difference, with examples using s1 and s2 and operators like &, |, -, ^.

Build a password strength checker by looping through each character, counting uppercase, lowercase, digits, and symbols, and printing a final summary using string methods.

Solve eight Python loop problems using for and while loops—from printing multiples of 3 and counting vowels to reversing numbers, summing digits, and first repeated characters.

Design and implement a library management system in Python as a guided skills exercise, with a menu to view all books, issue and return books, view issued books, and exit.

Learn how to define and call functions in Python, encapsulating repeated tasks with def, passing inputs, returning outputs, and applying the dry principle, illustrated by a circle area example.

Explore Python function basics by defining functions, calling with and without parentheses, and using keyword arguments to pass names and ages.

Explore how functions are defined and invoked, and learn default arguments, keyword and variable arguments, and local versus global scope with practical Python examples.

Explore Python decorators through MCQs that show how decorators modify function behavior, apply decorators with correct syntax, and understand decorator structure and return types.

Learn to use the OS module to interact with the operating system, manage directories and files, join paths, and check existence, while loading environment variables with dotenv.