Implement 150 functions in Python! - Hands-on course

Implement 150 functions in Python! - Hands-on course free download

Immerse Yourself in Python Programming: Implement 150 Functions - Elevate Your Coding Skills and Boost Your Efficiency!

This is a comprehensive, practice-oriented course designed to boost your Python programming skills by applying them in real-world scenarios. This course provides a unique blend of theoretical and hands-on learning experiences, taking you on a journey from understanding Python's syntax and data structures to writing complex functions to solve a wide array of problems.

The course is focused on the development of 150 distinct Python functions. Each function corresponds to a specific task or problem, with a varying degree of complexity, ensuring learners of all levels get their fair share of challenges.

You will be implementing functions related to data processing, file manipulation, web scraping, data analysis, and much more. By the end of this course, you'll have a portfolio of practical Python functions that you can reference in future projects or during job interviews.

This is not merely about understanding Python's syntax. It's about gaining practical experience in problem-solving using Python and becoming confident in your ability to tackle real-world programming challenges. It is suitable for beginners who have a basic understanding of Python, intermediate programmers looking to expand their skills, or anyone who learns best through hands-on experience.

Functions in Python: Reusable Logic Made Simple

Functions in Python are blocks of reusable code designed to perform a specific task. They help improve code organization, readability, and maintainability by allowing you to define once and call many times. Python functions can accept inputs (parameters), return outputs, and support features like default values, variable-length arguments, and recursion—making them a fundamental tool for building modular and efficient programs.

Topics you will find in the exercises:

• calculations in Python

• slicing

• strings, and str methods

• data types

• data structures: set. tuple, list, dict

• program flow control

• if statement

• for loops

• break statement

• continue statement

• while loops

• exception handling

• input/output

• reading files

• saving to files

• built-in functions

• defining your own functions

• anonymous functions - lambda expression

• set comprehension

• list comprehension

• dict comprehension

• built-in modules

• Fibonacci sequence

• prime and composite numbers

• palindromic numbers

• GCD

• decimal system, binary system

• compression

• object oriented programming

• Hamming distance

• Scrabble game

• spiral matrices

• input / output operations

• work with JSON and CSV files

• ETL processing

• object serialization - pickle

• SQLite databases - sqlite3

• Levenshtein distance

• Caesar Cipher

• Morse code

• Monte Carlo method

• bitwise AND, OR, XOR

• functional programming

• inheritance from built-in classes

• calculation of moving averages and minima

• implementation of the Matrix class

• implementation of the Stack class

• implementation of the Queue class

• the parentheses validator

• HTML document validator

• and other