100+ Exercises – Advanced Python Programming

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RECOMMENDED LEARNING PATH

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PYTHON DEVELOPER:

• 200+ Exercises – Programming in Python – from A to Z

• 210+ Exercises – Python Standard Libraries – from A to Z

• 150+ Exercises – Object Oriented Programming in Python – OOP

• 150+ Exercises – Data Structures in Python – Hands-On

• 100+ Exercises – Advanced Python Programming

• 100+ Exercises – Unit tests in Python – unittest framework

• 100+ Exercises – Python Programming – Data Science – NumPy

• 100+ Exercises – Python Programming – Data Science – Pandas

• 100+ Exercises – Python – Data Science – scikit-learn

• 250+ Exercises – Data Science Bootcamp in Python

• 110+ Exercises – Python + SQL (sqlite3) – SQLite Databases

• 250+ Questions – Job Interview – Python Developer

SQL DEVELOPER:

• SQL Bootcamp – Hands-On Exercises – SQLite – Part I

• SQL Bootcamp – Hands-On Exercises – SQLite – Part II

• 110+ Exercises – Python + SQL (sqlite3) – SQLite Databases

• 200+ Questions – Job Interview – SQL Developer

JOB INTERVIEW SERIES:

• 250+ Questions – Job Interview – Python Developer

• 200+ Questions – Job Interview – SQL Developer

• 200+ Questions – Job Interview – Software Developer – Git

• 200+ Questions – Job Interview – Data Scientist

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COURSE DESCRIPTION

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100+ Exercises – Advanced Python Programming

Welcome to the course 100+ Exercises – Advanced Python Programming, where you can check your programming skills in Python. The course is designed for people who have basic knowledge in Python. The course consists of over 100 advanced exercises (exercises + solutions) in Python.

Below are some topics that were included in the exercises:

• arithmetic
• 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

During the course you will be able to test your programming skills in Python. This is a great test for people who want to become a Python Developer and are looking for new challenges. Exercises are also a good test for an interview. Many popular topics were covered during the course. Before taking the course, please make sure that you meet the requirements.

Don’t hesitate any longer and take the challenge today!