Python Bootcamp 2025: Learn Python from Basics with Projects

Explore Python operators, including unary, binary, and ternary categories, and master arithmetic operators—plus, minus, multiply, division, floor division, exponent, and modulo.

Explore implementations of arithmetic operators in Python, including plus, minus, multiply, exponential operator, division, flow division, and mod, with examples of addition, concatenation, string repetition, type errors, and numeric operations.

Learn Python relational and logical operators, including greater than, less than, equal to, not equal, and, or, not, and apply them to boolean conditions.

Discover how to use the Python conditional operator to write if-else expressions, including positive/negative, even/odd checks, and finding the greatest among two or three numbers.

Explore how Python handles conditional statements, including simple if, elif, and else. Examine ladder and nested if, later if, and multiple if else, with indentation and switch case absence.

Explore practical Python conditional statements with hands-on examples of if, else, and elif; learn nested if, vowel checks, leap year logic, and a menu-driven max/min/swap application.

Explore Python loops, including while and for loops, with practical examples on printing series, tables, squares, and summations; learn initialization, conditions, and increments to avoid infinite loops.

Learn how to use while and for loops in Python to build multiple programs, including factorial, addition of digits, reverse and palindrome checks, Armstrong and prime number tests.

Explore Python for loops with range to generate sequences, iterate over collections and strings, and practice nested loops, pyramid patterns. Learn start, stop, and step, print tables, squares, and sums.

Practice practical for loop in Python using range, collections, and strings; master forward and reverse loops, nested loops, and loop-based programs like tables, squares, and pyramids.

Explore python strings from quoting styles to types: alpha, numerical, and alphanumeric, and learn indexing, for and while loops, and counting vowels.

Practice practical Python string handling with methods like upper, lower, strip, count, find, index, and title, and understand string immutability and memory behavior.

Explore Python string methods and the immutability concept, including upper, lower, count, find, capitalize, title, format, strip, and index, which return new strings.

Explore python string methods for validation and conversion, including upper and lower, is upper, is lower, is digit, and is alpha, with loops and ascii checks.

Explore practical python string methods, including expand tab, replace, find and rfind, index and rindex, split and partition, zfill, and isidentifier, with attention to immutability and case-sensitivity.

Explore how Python functions work, distinguishing built-in from user defined functions, and learn to define, call, and import functions across modules using a stack-based execution model.

Explore call by value and return by value in Python functions, learn about arguments vs parameters, actual vs formal parameters, and using return to pass results back to calling code.

Explore how to pass functions as arguments in Python, treating functions as objects. Learn through examples where one function calls another and returns values.

Explore how global and local variables work in Python, learn when to use the global keyword and global function, and compare global versus globals with practical examples.

Explore Python recursion, including direct and indirect recursion, learn about recursive functions and global variables, and apply these ideas to factorial, reverse of a number, palindrome, and Armstrong checks.

Explore Python lambda functions, learn the syntax for anonymous functions, pass parameters, and apply them to operations like addition, square, max, min, and circle area and circumference.

Explore the Python filter function and how to apply it with and without lambda expressions to filter data from lists, strings, or other sequences.

Learn how to use Python's map function with named and lambda functions to perform calculations on data, compare it to filter, and explore examples like squaring numbers and factorials.

Learn how Python arrays store homogeneous data and declare them with the array module, then perform runtime initialization and common operations such as append, insert, remove, clear, count, and pop.

Explore practical array handling in Python by importing the array module, declaring signed and unsigned byte arrays, and iterating with for and while loops while printing and validating elements.

Compare function oriented and object oriented programming in Python, and grasp core concepts like classes, inheritance, polymorphism, encapsulation, abstraction, and data hiding.

Explore core object oriented programming in Python by defining classes, creating objects, and implementing methods. Learn data hiding, encapsulation, abstraction, and inheritance, including is a relationship and has a relationship.

Define a Python class and instantiate objects to access their methods with the instance dot operator. Understand local versus instance variables, memory allocation, and how self refers to the instance.

Explore practical object oriented programming in python by defining classes and objects, using the def keyword, self, and the display method to manage instance and local variables.

Explore Python's init and str methods, understand constructors and implicit vs explicit calls, and see how objects initialize and print values with self and memory concepts.

Explore Python's magic, or dunder, methods, including init, str, repr, and call, and learn how they enable implicit execution and operator overloading for custom objects.

Explore inheritance in Python to reuse code across base and derived classes, including single level, multi level, multiple, and hybrid inheritance, with practical examples.

Explore the difference between overloading and overriding in Python, explain why Python lacks direct overloading, and show how overriding and indirect overloading work with init methods and inheritance.

Discover how Python handles method overloading and overriding, including indirect overloading with default values, and how init methods and inheritance determine which method runs at call time.