300+ Exercises - Python Programming Mega Pack
What you'll learn
- solve over 300 exercises in Python
- deal with real programming problems
- work with documentation
- guaranteed instructor support
Requirements
- Completion of all courses in the Python Developer learning path
- Basic and advanced knowledge of Python
Description
This course is a comprehensive, hands-on training program designed for both new and experienced Python learners. Its primary goal is to improve participants' Python programming abilities through practical exercises that encompass a wide range of real-world programming tasks.
Comprising over 300 interactive exercises, this course covers the fundamental concepts of Python, including data types, loops, conditionals, and functions, through to more advanced topics such as object-oriented programming, exception handling, and working with the Python Standard Library. Each topic is explored through problems that challenge learners to apply and solidify their understanding.
The course distinguishes itself through its focus on learning by doing. The exercises encourage learners to solve real-world problems and craft efficient Pythonic solutions. They have been carefully designed to increase in difficulty, with earlier exercises helping to build a foundation of knowledge that later exercises will expand on.
Solutions are provided for all exercises, allowing participants to compare their solutions with the recommended ones, improving their understanding and proficiency in Python.
This course is an exceptional resource for anyone seeking to enhance their Python skills, whether they are beginners, intermediate programmers, or even advanced coders looking for a comprehensive refresher. It is more than just a course—it's an exciting programming challenge that promises to improve your Python abilities.
Python: Code with Clarity, Build with Power
Python is a high-level, interpreted programming language known for its clear syntax and versatility. It supports multiple programming paradigms, including procedural, object-oriented, and functional programming. Widely used in web development, data analysis, artificial intelligence, automation, and more, Python empowers developers to create robust and scalable solutions efficiently. Its extensive standard library and vibrant ecosystem make it a go-to language for beginners and professionals alike.
Who this course is for:
- Beginner Programmers
- Aspiring Python Developers
- Computer Science and Engineering Students
- Software Engineers and Developers
- Data Analysts and Data Scientists
- Technical Professionals and IT Specialists
- Job Seekers and Interview Candidates
- Hobbyists and Lifelong Learners
Instructor
EN
Python Developer/AI Enthusiast/Data Scientist/Stockbroker
Enthusiast of new technologies, particularly in the areas of artificial intelligence, the Python language, big data and cloud solutions. Graduate of postgraduate studies at the Polish-Japanese Academy of Information Technology in the field of Computer Science and Big Data specialization. Master's degree graduate in Financial and Actuarial Mathematics at the Faculty of Mathematics and Computer Science at the University of Lodz. Former PhD student at the faculty of mathematics. Since 2015, a licensed Securities Broker with the right to provide investment advisory services (license number 3073). Lecturer at the GPW Foundation, conducting training for investors in the field of technical analysis, behavioral finance, and principles of managing a portfolio of financial instruments.
Founder at e-smartdata
PL
Python Developer/AI Enthusiast/Data Scientist/Stockbroker
Jestem miłośnikiem nowych technologii, szczególnie w obszarze sztucznej inteligencji, języka Python big data oraz rozwiązań chmurowych. Posiadam stopień absolwenta podyplomowych studiów na kierunku Informatyka, specjalizacja Big Data w Polsko-Japońskiej Akademii Technik Komputerowych oraz magistra z Matematyki Finansowej i Aktuarialnej na wydziale Matematyki i Informatyki Uniwersytetu Łódzkiego. Od 2015 roku posiadam licencję Maklera Papierów Wartościowych z uprawnieniami do czynności doradztwa inwestycyjnego (nr 3073). Jestem również wykładowcą w Fundacji GPW prowadzącym szkolenia dla inwestorów z zakresu analizy technicznej, finansów behawioralnych i zasad zarządzania portfelem instrumentów finansowych. Mam doświadczenie w prowadzeniu zajęć dydaktycznych na wyższej uczelni z przedmiotów związanych z rachunkiem prawdopodobieństwa i statystyką. Moje główne obszary zainteresowań to język Python, sztuczna inteligencja, web development oraz rynki finansowe.
Założyciel platformy e-smartdata