Implement 150 functions in Python! - Hands-on course

"Implement 150 functions in Python! - Hands-on course" 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.

The "Implement 150 functions in Python! - Hands-on course" 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.

Python - Code with Simplicity and Power!

Python is a versatile and powerful high-level programming language known for its simplicity and readability. It provides a clean and expressive syntax that emphasizes code readability, making it easier to write and understand compared to many other programming languages. Python supports multiple programming paradigms, including procedural, object-oriented, and functional programming, allowing developers to choose the most suitable approach for their projects.

Python boasts a vast standard library and a rich ecosystem of third-party packages, providing a wide range of tools and functionalities for diverse application domains. It is widely used in web development, scientific computing, data analysis, artificial intelligence, machine learning, automation, and more. Python's popularity stems from its ease of use, extensive community support, and cross-platform compatibility, enabling developers to write code once and run it on various operating systems.

With its beginner-friendly nature and extensive resources for learning, Python has become an excellent language for individuals starting their programming journey. Its simplicity and versatility make it an ideal choice for prototyping, rapid development, and solving complex problems with concise and elegant code. Python's philosophy of readability, combined with its broad application domain, has propelled it to be one of the most widely adopted programming languages across industries and disciplines.

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