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.

Explore arithmetic operators in Python by building a rectangle area and perimeter calculator with input and type conversion, using plus, minus, multiplication, division, modulo, exponentiation, and floor division.

Learn Python arithmetic operators such as modulo, floor division, and exponentiation, and apply if-else logic to determine even or odd numbers with remainder and quotient examples.

Learn Python comparison operators (>, <, >=, <=, ==, !=) that produce booleans, and combine them with and, or, not to form complex logical expressions.

Explore assignment operators in Python, including +=, -=, *=, and /=, and observe reassignment of immutable numbers. Understand bitwise and, or, and the role of membership and identity operators.

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.

Explore Python's numeric types and the math library functions, including max, min, pi, and rounding. Learn type casting between int and float and how to handle user input.

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 string concatenation and repetition via operator overloading, creating strings like 'Mr. Suraj'. Learn membership checks with in and not in, plus methods such as upper, lower, split, and join.

Master Python's string replace method by substituting an old value with a new one, optionally using a count. See examples replacing all or only the first occurrence in sample string.

Learn Python string methods find, count, index, and strip to locate characters, count occurrences, and remove whitespace, with find returning -1 and index raising a value error.

Explore Python string methods such as upper, lower, title, and capitalize to transform text. See how isdigit, isalpha, and isalnum verify numeric, alphabetic, or alphanumeric content, and isNumeric and isDigits.

Learn how split and join manipulate strings in Python lists using delimiters. Parse values from user inputs and reassemble them with comma, pipe, or space separators, including max count behavior.

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.

Solve Python string MCQs focused on strip, isdigit, isnumeric, find, index, count, title and capitalize, replace, join, split, with practice and discussion of core concepts.

Master practical Python string manipulation through a comprehensive strings assignment, covering indexing, slicing, formatting, replacing, case conversions, and methods like strip, find, split, join, isdigit, and isalpha.

Explore lists, a mutable Python data type, and learn to index, slice, concatenate, and repeat, then add or remove elements and understand del and garbage collection.

Explore Python list mutability and learn the append and extend methods, comparing how append adds a single element while extend inserts an iterable's contents, with hands-on coding.

Master Python list mutations with insert at a specific index, pop from an index or the end, and remove the first matching value, including handling of missing elements.

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 Python list comprehension, range mechanics, and boolean conditions through MCQs, mastering how to build, reverse, and evaluate lists with for loops and string operations.

Explore Python lists through a comprehensive assignment: create and manipulate lists with append, extend, insert, remove, count, index, reverse, min/max, cast between lists and tuples, and list comprehension.

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.

Explore how Python dictionaries copy items with the copy method, and differentiate shallow copy from deep copy when nested objects are involved.

Review Python dictionaries as hashed key-value pairs, explore mutability, access by key, and methods like keys, values, items, plus shallow and deep copy concepts, then MCQs to reinforce understanding.

Explore dictionary fundamentals in Python, including creating, updating, and printing dictionaries; using keys, values, and items; and mastering pop, pop item, clear, nested dictionaries, and shallow versus deep copying.

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 &, |, -, ^.

Explore Python sets and their methods, including union, intersection, difference update, and superset checks; learn how frozen sets are immutable via frozenset.

This lecture guides pythonistas through sets, covering creation, duplicate handling, membership tests, intersections, differences, symmetric differences, and key methods like add, update, remove, discard, pop, and clear, with MCQs.

Master while loops in Python by understanding the as long as condition, controlling loops with break, continue, and pass, and preventing infinite loops through proper counter increments.

Learn to reverse a positive number using a while loop, extracting the last digit via remainder, updating the quotient, building a string, converting it back, and debugging in Visual Studio.

Explore a medium-hard while loop project that computes a digital root by repeatedly summing a number's digits using outer and inner loops, until a single digit remains.

Revisit for loops in Python, reinforcing iterators, iterables, range-based looping, and printing list elements by index using 0-based positions.

Develop Armstrong number programs in Python using for loops over 100–999, digit extraction with division and remainder, and cube sums to identify numbers like 153, 370, 371, and 407.

Explore building a diamond of stars pattern in Python using nested for loops and range with step sizes, printing spaces and stars for top and bottom halves.

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.

Learn to define Python functions with variable arguments using star args and keyword arguments with kwargs, and process them as tuples and dictionaries in student and subject examples.

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

Learn how anonymous functions (lambda) work in Python, with examples like area calculation and name concatenation, and test skills through mcqs on lambda basics and map, reduce, filter.

Explore built-in functions map, reduce, and filter, demonstrating how map applies a function to each iterable item and returns a list of results, including square numbers examples and lambda usage.

Understand how the filter function creates an iterator from an iterable by testing each element with a function, using a vowels example and a lambda.

Discover how the reduce function from functools aggregates a list of numbers using a lambda to compute sums or other operations, illustrated by a 39 total and practical uses.

Explore decorators in Python by learning how to pass a function to another, define inner functions, and return a wrapper that extends a function’s behavior with decorator syntax.

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

Explore recursion with real examples, including factorials, fibonacci, and string reversal, and master break conditions, recursive calls, and building mental models like tree structures.

Practice Python functions with lambda, map, filter, decorators, and recursion through ten programs and mcqs, covering scope and sorting tasks.

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.

Learn to use the sys module as a control panel for the Python interpreter, reading arguments, inspecting paths, environment variables, and modules, and dynamically adjust sys.path for your projects.

Master the Python date time module to get current time, format timestamps, and perform date arithmetic with DateTime, Date, and TimeDelta, including strfTime and strptime.

Explore the random module in Python, learning to generate numbers and random elements from sequences. Use randint, randrange, and random choice or random choices.