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Competitive Programming Academy

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Solve algorithmic problems fast for contests and interviews. From two pointers and binary search to DP, graphs, and advanced data structures, in Python.

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Course Overview

Competitive Programming: Algorithms & Contests

Solve algorithmic problems fast for contests and interviews. From two pointers and binary search to DP, graphs, and advanced data structures, in Python. This track covers 30 progressive mini-courses from absolute beginner (A1) through advanced (B2), with short focused lessons and quick quizzes to lock in each concept.

What You Will Learn

You start with the fundamentals and build up through intermediate and advanced topics, each course building on the last. Every lesson is practical and bite-sized, with a 24/7 AI tutor available when you need help.

How It Works

Each course is broken into four focused, bite-sized lessons. Complete a few lessons a day and you will master the full track in weeks, not months.

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How You'll Learn

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Curriculum

30 Courses

Every course in the Competitive Programming Academy learning path.

01

Welcome to the Arena: Judges & Verdicts

A14 lessons

You can submit your first solution to an online judge and read its verdict.

  • What Competitive Programming Really Is
  • Codeforces, LeetCode & AtCoder Tour
  • Decode the Problem Statement
  • +1 more
02

Fast I/O: Read Input Without Losing Points

A14 lessons

You can read and print contest input fast enough to avoid time-limit losses.

  • input() vs sys.stdin Showdown
  • Parse Many Numbers on One Line
  • Batch Output the Right Way
  • +1 more
03

Big-O on the Clock: Will It Pass?

A14 lessonsPRO

You can estimate an algorithm's running time from the constraints before coding.

  • Counting Operations with Big-O
  • The 10^8 Rule of Thumb
  • Read Constraints, Pick Complexity
  • +1 more
04

Arrays You Can Trust

A14 lessonsPRO

You can scan, build, and transform Python lists for contest tasks.

  • Lists, Indexing & Slicing for CP
  • Build Arrays Fast with Comprehensions
  • Min, Max, Sum & Running Totals
  • +1 more
05

Strings That Behave

A14 lessonsPRO

You can manipulate and inspect strings to solve text-based problems.

  • Characters, ord & chr Tricks
  • Count Letters with a Frequency Table
  • Palindrome Checks Done Right
  • +1 more
06

Two Pointers: Sweep the Array

A24 lessonsPRO

You can solve pair and subarray problems with the two-pointer technique.

  • Two Pointers on a Sorted Array
  • Find a Pair with a Given Sum
  • Remove Duplicates In Place
  • +1 more
07

Prefix Sums: Range Queries in O(1)

A24 lessonsPRO

You can answer subarray-sum queries instantly with prefix arrays.

  • Build a Prefix Sum Array
  • Sum Any Range with Subtraction
  • Count Subarrays with a Target Sum
  • +1 more
08

Sorting & Comparators

A24 lessonsPRO

You can sort by custom keys and use order to simplify problems.

  • sorted() and the key Function
  • Sort by Multiple Fields
  • Custom Order with functools.cmp_to_key
  • +1 more
09

Binary Search the Answer

A24 lessonsPRO

You can search sorted data and binary-search over a numeric answer space.

  • Classic Binary Search Without Bugs
  • bisect_left and bisect_right
  • First True: Predicate Binary Search
  • +1 more
10

Hashing: Sets, Maps & Counters

A24 lessonsPRO

You can use hash structures for O(1) lookups, counting, and dedup.

  • Sets for Membership and Dedup
  • Dictionaries as Lookup Tables
  • Counter and defaultdict in Action
  • +1 more
11

Greedy: When Local Choices Win

B14 lessonsPRO

You can recognize and prove simple greedy strategies for contest tasks.

  • The Greedy Mindset
  • Activity Selection by Earliest Finish
  • Fractional Knapsack by Ratio
  • +1 more
12

Simulation: Code the Rules Exactly

B14 lessonsPRO

You can translate intricate problem rules into a correct step-by-step simulation.

  • Model State and Step Forward
  • Grid Walks and Direction Vectors
  • Cycle Detection in Simulations
  • +1 more
13

Recursion & Backtracking

B14 lessonsPRO

You can explore solution spaces with recursion and prune dead branches.

  • Think Recursively: Base & Recurse
  • Generate All Subsets
  • Permutations and the N-Queens Idea
  • +1 more
14

Complete Search Without Fear

B14 lessonsPRO

You can decide when brute force fits the constraints and enumerate efficiently.

  • Brute Force Is a Valid Strategy
  • Enumerate with itertools
  • Bitmask Subset Enumeration
  • +1 more
15

Stacks, Queues & Deque

B14 lessonsPRO

You can choose the right linear structure and use it for classic patterns.

  • Stacks for Matching Brackets
  • Monotonic Stack: Next Greater Element
  • Queues and collections.deque
  • +1 more
16

Sliding Window Mastery

B14 lessonsPRO

You can solve subarray and substring problems with expanding and shrinking windows.

  • Fixed-Size Window Sums
  • Variable Window with Two Pointers
  • Longest Substring Without Repeats
  • +1 more
17

Intervals: Merge, Sweep & Schedule

B14 lessonsPRO

You can sort and sweep intervals to merge, count overlaps, and schedule.

  • Sort Intervals by Start
  • Merge Overlapping Intervals
  • Line Sweep for Max Overlap
  • +1 more
18

Number Theory Toolkit

B14 lessonsPRO

You can apply GCD, sieves, and primality to math-heavy contest problems.

  • GCD, LCM & the Euclidean Algorithm
  • Primality Testing up to sqrt(n)
  • Sieve of Eratosthenes
  • +1 more
19

Modular Arithmetic & Combinatorics

B14 lessonsPRO

You can compute large counts under a modulus using inverses and factorials.

  • Work Modulo a Prime
  • Fast Modular Exponentiation
  • Modular Inverse via Fermat
  • +1 more
20

Bit Manipulation Power-Ups

B14 lessonsPRO

You can use bitwise tricks for sets, masks, and constant-time operations.

  • AND, OR, XOR & Shifts
  • Set, Clear & Toggle a Bit
  • Count Bits and Lowest Set Bit
  • +1 more
21

Graphs Intro: BFS & DFS

B24 lessonsPRO

You can represent graphs and traverse them with breadth-first and depth-first search.

  • Adjacency Lists from Input
  • BFS for Shortest Unweighted Paths
  • DFS, Recursion & Iterative Stacks
  • +1 more
22

Shortest Paths: Dijkstra & Friends

B24 lessonsPRO

You can compute shortest paths on weighted graphs with the right algorithm.

  • Dijkstra with a Heap
  • 0-1 BFS with a Deque
  • Bellman-Ford & Negative Edges
  • +1 more
23

Dynamic Programming Foundations

B24 lessonsPRO

You can identify overlapping subproblems and write 1D DP recurrences.

  • Memoization vs Tabulation
  • Define State and Transition
  • Climbing Stairs & Coin Combinations
  • +1 more
24

Knapsack & 2D DP

B24 lessonsPRO

You can model resource-limited choices with knapsack-style 2D DP.

  • 0/1 Knapsack: Take or Leave
  • Space-Optimized Knapsack
  • Unbounded & Coin-Change DP
  • +1 more
25

DP on Grids & Strings

B24 lessonsPRO

You can solve path-counting and edit-distance problems with grid and string DP.

  • Path Counting on a Grid
  • Minimum Path Sum with Obstacles
  • Longest Common Subsequence
  • +1 more
26

Union-Find (DSU) & Spanning Trees

B24 lessonsPRO

You can merge sets with DSU and build minimum spanning trees.

  • DSU with Path Compression
  • Union by Rank and Components
  • Kruskal's Minimum Spanning Tree
  • +1 more
27

Fenwick & Segment Trees

B24 lessonsPRO

You can answer dynamic range queries and updates in logarithmic time.

  • Fenwick Tree for Prefix Sums
  • Inversions with a BIT
  • Segment Tree: Build & Query
  • +1 more
28

Advanced Graphs: Order & Structure

B24 lessonsPRO

You can topologically order DAGs and decompose graphs into strongly connected components.

  • Topological Sort with Kahn's Algorithm
  • Detect Cycles in Directed Graphs
  • Strongly Connected Components
  • +1 more
29

String Algorithms for Contests

B24 lessonsPRO

You can match patterns fast with KMP, hashing, and tries.

  • KMP Prefix Function
  • Polynomial String Hashing
  • Z-Function for Pattern Search
  • +1 more
30

Endgame: Game Theory, MITM & Contest Craft

B24 lessonsPRO

You can apply game theory, meet-in-the-middle, and a debugging routine under contest pressure.

  • Winning & Losing States in Games
  • Nim and the Grundy Number
  • Meet in the Middle
  • +1 more
FAQ

Frequently Asked Questions

Is the Competitive Programming Academy course free?

Yes. You can start the Competitive Programming Academy course for free and complete its interactive lessons at no cost. An optional PRO subscription unlocks advanced AI tools and a shareable certificate.

Do I need prior experience to learn PYTHON?

No. The course begins with the fundamentals and gradually moves to more advanced topics, so you can start even with no prior PYTHON experience.

How will I learn PYTHON on CoddyKit?

You learn by doing. Short interactive lessons pair a clear explanation with a hands-on coding exercise that runs in real time, and a 24/7 AI tutor gives personalized help whenever you get stuck.

Do I get a certificate for completing Competitive Programming Academy?

Yes. PRO learners can take an exam and earn a shareable certificate of completion with a verifiable code for the Competitive Programming Academy course.

Can I learn PYTHON on my phone?

Yes. CoddyKit is available on the web and as native iOS and Android apps, so you can learn PYTHON on any device and your progress syncs across them.

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