Python Programming: 200+ Exercises for Practice
What you'll learn
- solve over 200 exercises in Python
- deal with real programming problems
- work with documentation
- guaranteed instructor support
Requirements
- basic knowledge of Python
Description
This course is an immersive, hands-on learning experience designed for individuals who want to hone their Python programming skills through practical exercises. This course presents a unique learning approach by offering a comprehensive set of exercises, ensuring a deep engagement with the Python language.
The course is structured into various sections, each targeting a specific aspect of Python, including fundamentals such as data types and variables, data structures, functions, exception handling, as well as more advanced topics like object-oriented programming, Python's built-in libraries, and working with external files and databases.
Each exercise is carefully curated and designed to reinforce a specific concept in Python programming. They are self-contained, encouraging participants to think critically and solve complex problems independently. Solutions are provided and thoroughly explained to help learners understand the best practices and methodologies in Python programming.
This course is suitable for Python programmers of all skill levels, from beginners to experienced developers looking to refresh their knowledge and stay up-to-date with the latest Python developments. Whether you're preparing for a job interview, participating in a coding bootcamp, or merely expanding your coding skillset, this course offers a rigorous and rewarding learning experience.
Python: The Language of Simplicity and Power
Python is a high-level, versatile programming language known for its clean syntax and readability. Widely used in web development, data science, automation, artificial intelligence, and more, Python enables developers to write efficient, scalable, and maintainable code with minimal effort. Its rich ecosystem of libraries and strong community support make it an ideal choice for beginners and professionals alike.
Who this course is for:
- Aspiring Software Developers
- Python Programming Enthusiasts
- Data Analysts and Data Scientists
- Automation Engineers and Scripting Professionals
- Professionals Transitioning into Tech
- Computer Science Students
- Technical Interview Candidates
Instructor
- 4.4 Instructor Rating
- 12,016 Reviews
- 439,725 Students
- 146 Courses
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