Programming Language Python for Competitive Programming - Comprehensive Course

Module 1: Introduction to Programming

Setting Up Development Environment

Module 2: Your First Program

Hello World Program
Program Structure
Problems

Module 3: Input/Output and Arithmetic Operators

Data Input/Output
Arithmetic Operators
Problems

Module 4: Conditional Statements

Comparison Operators
Conditional Operators
Problems
Problems

Module 5: Numeric data types

Numeric data types
Problems
Problems

Module 6: Loops

The for loop with range()
While loop
Nested loops
Problems
Problems
Problems
Problems

Module 7: Lists

List basics
Tuples
Multi-dimensional lists
Problems
Problems

Module 8: Strings

Characters and strings
String methods
Problems
Problems
Problems

Module 9: Functions

Functions
Functions. Advanced
Problems

Module 10: Linear search and basic brute-force

Linear Search
Brute-force
Problems
Problems

Module 11: Built-in data structures

Stack, queue, deque
Hash based data structures: set, dict, counter
Priority Queue: heapq
Problems
Problems

Module 12: Basic Sorting Algorithms

Introduction to sorting
Bubble Sort
Selection sort
Insertion sort
Problems

Module 13: Useful Python Tricks

List and Dict Comprehensions
Generators
Useful built-in functions
Standard Library Modules
Fast Input/Output
Working with files

Module 14: Recursion

Introduction to recursion
Problems

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Home/Courses/Programming Language Python for Competitive Programming

Programming Language Python for Competitive Programming

Learn the fundamentals of programming language Python through hands-on exercises and practical examples.

14 modules

·

56 lessons

Start the course View Standings

Part 1

Module 1: Introduction to Programming

Understanding what programming is and why we need it

Setting Up Development Environment
Prepare your tools and environment for programming

Part 2

Module 2: Your First Program

Creating your first Hello World program

Hello World Program

Write and understand your first program

Program Structure

Understanding the basic structure of a program

Problems to solve

Part 3

Module 3: Input/Output and Arithmetic Operators

Working with user input and program output

Data Input/Output
Learn how to receive and process user input and output
Arithmetic Operators
Arithmetic Operators
Problems
Arithmetic operations, cin, cout

Part 4

Module 4: Conditional Statements

Making decisions in your programs

Comparison Operators
Understanding equality, inequality, and relational operators
Conditional Operators
Using if, else, and else if statements
Problems
part 1
Problems
part 2

Part 5

Module 5: Numeric data types

Numeric data types

Numeric data types
Numeric data types
Problems
part 1
Problems
part 2

Part 6

Module 6: Loops

Repeating actions with for loops

The for loop with range()
Learn how to repeat code execution efficiently
While loop
Working with while loop, continue, break keywords
Nested loops
Nested loops and practical examples for them
Problems
part 1
Problems
part 2
Problems
part 3
Problems
part 4

Part 7

Module 7: Lists

Working with collections of data

List basics
Understanding what are lists and how to work with them. Indexing, slicing, common methods and iterating
Tuples
Tuples - immutable lists
Multi-dimensional lists
Multi-dimensional collection of data
Problems
part 1
Problems
part 2

Part 8

Module 8: Strings

Working with characters and collection of characters - strings

Characters and strings
String basics
String methods
String methods
Problems
part 1
Problems
part 2
Problems
part 3

Part 9

Module 9: Functions

Learn how functions work in Python

Functions
Function and basics of working with it
Functions. Advanced
More on functions
Problems
Problems for practice

Part 10

Module 10: Linear search and basic brute-force

Learn how to apply linear search for solving tasks. Brute-forcing

Linear Search
How linear search works and its time complexity
Brute-force
Solving Ttsks with Brute-force
Problems
part 1
Problems
part 2

Part 11

Module 11: Built-in data structures

- deque - set - dict - heapq

Stack, queue, deque
Understanding of special sequenced data structures: stack, queue, deque
Hash based data structures: set, dict, counter
Learn how set and dict works. Counter data structure
Priority Queue: heapq
Learn priority queue in python
Problems
part 1
Problems
part 2

Part 12

Module 12: Basic Sorting Algorithms

Basic Sorting Algorithms

Introduction to sorting
Importance of sorting algorighms. What sorting methods exists
Bubble Sort
Bubble Sort
Selection sort
Selection sort
Insertion sort
Insertion sort
Problems
Problems for practice

Part 13

Module 13: Useful Python Tricks

Learn special language tricks which is extremely usefull for solving tasks as well as writing normal scripts

List and Dict Comprehensions
Learn list and dict Comprehensions
Generators
Lazy evaluation, memory-efficient alternatives to list comprehensions
Useful built-in functions
Useful built-in functions
Standard Library Modules
Special modules worth to import
Fast Input/Output
Fast Input/Output
Working with files
Learn how to work with files in Python

Part 14

Module 14: Recursion

Recursion

Introduction to recursion
Introduction to recursion
Problems
Problems for practice