100+ Exercises - Advanced Python Programming
What you'll learn
- solve 100+ advanced exercises in Python
- deal with real programming problems
- work with documentation and Stack Overflow
- guaranteed instructor support
Requirements
- completion of all courses in the Python Developer learning path
Description
The "100+ Exercises - Advanced Python Programming" course is designed for intermediate to advanced Python programmers looking to solidify their understanding of the language and broaden their skills. This course provides a variety of challenges that tackle various advanced topics, such as decorators, context managers, generators, exception handling, concurrency, and more.
Each exercise in this course presents a unique problem that requires an understanding of Python's more intricate features. Solutions are provided for every exercise, offering students the opportunity to compare their work with a recommended solution. This process not only helps to reinforce learned concepts but also stimulates the students' problem-solving and critical thinking skills.
The course emphasizes hands-on practice and experiential learning, as it believes that the best way to truly understand a programming language is by actually programming. By completing these exercises, learners will have the chance to apply and strengthen their knowledge of advanced Python concepts, leading to greater proficiency and confidence in their programming abilities.
It is recommended that learners have a good understanding of basic Python concepts before attempting this course, as the problems are intended to be challenging and involve more complex aspects of the language.
The "100+ Exercises - Advanced Python Programming" course is perfect for anyone seeking to elevate their Python skills to a new level and become more adept at solving complex problems using this versatile language.
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:
- experienced Python developers who want to deepen their understanding and mastery of advanced concepts and techniques in Python programming
- programmers or software engineers who have a strong foundation in Python and want to explore advanced topics such as metaprogramming, decorators, context managers, generators, and more
- professionals working on complex Python projects or in fields such as data science, web development, or system administration, who want to enhance their skills and solve more advanced programming challenges using Python
- Python enthusiasts who enjoy pushing the boundaries of the language and want to explore advanced features and patterns to write more efficient, maintainable, and Pythonic code
- self-learners who are eager to expand their Python knowledge beyond the basics and develop a deep understanding of advanced programming concepts in Python
- developers from other programming languages who want to master advanced Python programming techniques and leverage Python's rich ecosystem for their projects
Instructor
- 4.5 Instructor Rating
- 7,845 Reviews
- 320,609 Students
- 118 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
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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