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
- basic knowledge of Python
"Python Programming: 200+ Exercises for Practice" 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.
The "Python Programming: 200+ Exercises for Practice" 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 - 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.
Who this course is for:
- beginners in programming who want to learn Python from scratch and develop a solid foundation in programming concepts
- students or individuals who are new to Python and want to gain hands-on experience through a wide range of exercises covering various programming topics
- programmers experienced in other languages who want to transition to Python and need practical exercises to help them become proficient in the language
- python enthusiasts who want to enhance their coding skills and problem-solving abilities through a large number of exercises targeting different Python concepts and techniques
- self-learners who prefer a practice-based approach to learning and want to strengthen their understanding of Python by actively solving programming exercises
- professionals in fields such as data science, web development, or automation, who want to expand their Python knowledge and improve their programming skills through practical exercises
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
Data Scientist, Securities Broker
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.
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