Python Roadmap
From Python Fundamentals to Advanced Python, DSA and Interview Preparation
Follow a structured learning path from Python basics to advanced programming, data structures, algorithms and interview preparation.
Python Fundamentals
Build a strong foundation in Python programming.
What is Python?
Understand Python and why it is widely used.
Installing Python
Install Python and verify your environment.
Python Versions
Understand Python 3 and version differences.
Python Interpreter
Learn how Python executes your programs.
Python Syntax & PEP 8
Learn Python syntax, comments and basic style conventions.
Variables & Constants
Store data and understand naming conventions.
Input & Output
Use print() and input() to interact with users.
Type Conversion & Dynamic Typing
Convert values and understand Python’s dynamic typing.
Numbers, Boolean & None
Learn int, float, complex, bool and None.
Strings
Work with text values and string operations.
Lists, Tuples, Sets & Dictionaries
Learn Python’s core collection data structures.
if / elif / else
Control program execution using conditions.
Loops
Master for, while, range(), break, continue and pass.
Functions
Define functions, parameters, arguments and return values.
Function Arguments & Scope
Learn default arguments, kwargs, scope and lambda functions.
String Indexing & Slicing
Access and manipulate individual parts of strings.
Formatting & f-Strings
Format strings using f-strings and escape characters.
Exceptions
Handle runtime errors using Python exceptions.
File Handling
Open, read, write and append files safely.
CSV & JSON
Work with common structured data formats.
Python Intermediate Roadmap
Move beyond the basics and write maintainable Python applications.
Classes & Objects
Understand the foundation of object-oriented Python.
Methods & Encapsulation
Learn instance, class and static methods.
Inheritance & Polymorphism
Build reusable object-oriented class hierarchies.
Modules & Packages
Organize Python programs into reusable modules.
Functional Programming
Use first-class functions, map(), filter() and reduce().
Closures, Decorators & Generators
Understand powerful Python function patterns.
pip & Virtual Environments
Manage dependencies and isolate project environments.
Testing & Debugging
Debug programs and create automated tests.
Advanced Python + Data Structures & Algorithms
Prepare for advanced development, coding interviews and algorithmic problem solving.
Advanced OOP
Master abstract classes, multiple inheritance and dunder methods.
Context Managers & Iterators
Create reusable advanced Python abstractions.
Type Hints, Dataclasses & Enums
Write cleaner and more maintainable Python applications.
Python Internals & Performance
Understand memory, garbage collection and optimization.
Concurrency & Async Programming
Learn threading, multiprocessing and asyncio.
Big O & Complexity
Analyze time and space complexity of algorithms.
Arrays & Strings
Master arrays, strings, two pointers and sliding windows.
Linked Lists
Learn singly, doubly and circular linked lists.
Stacks
Understand LIFO structures and stack-based problems.
Queues
Learn queues, circular queues, deques and priority queues.
Hashing
Use hash maps and sets for efficient lookup.
Recursion & Backtracking
Build recursive solutions and explore decision trees.
Searching
Learn linear search and binary search techniques.
Sorting Algorithms
Master common comparison and non-comparison sorting algorithms.
Trees
Learn binary trees, BSTs, traversals, heaps and tries.
Graph Traversal
Represent graphs and solve BFS and DFS problems.
Shortest Path Algorithms
Learn Dijkstra and Bellman-Ford algorithms.
Minimum Spanning Trees
Understand Prim’s and Kruskal’s algorithms.
Greedy Algorithms
Learn how locally optimal choices can solve problems.
DP Fundamentals
Understand overlapping subproblems and optimal substructure.
Classic DP Problems
Practice knapsack, LCS, LIS and grid problems.
Problem-Solving Techniques
Learn divide-and-conquer, bit manipulation and common patterns.
Advanced Data Structures
Explore DSU, segment trees and Fenwick trees.
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