210+ Exercises - Python Standard Libraries
What you'll learn
- solve over 210 exercises in Python with standard libraries
- deal with real programming problems
- work with documentation
- guaranteed instructor support
Requirements
- Completion of all courses in the Python Developer learning path
- Basic knowledge of Python
Description
This course provides a thorough and hands-on exploration of Python's robust standard libraries. This interactive course is designed to strengthen learners' Python programming skills by diving deep into the tools and functionalities offered by these libraries.
This course is divided into various sections, each focusing on different libraries such as os, sys, math, datetime, and collections, among others. Each section is filled with carefully designed exercises that challenge learners to apply and reinforce the concepts learned.
The exercises range from simple tasks for beginners to more complex problems that simulate real-world programming scenarios. Detailed solutions are provided for each exercise, promoting better understanding and helping learners gain insights into best practices in Python programming.
The "210+ Exercises - Python Standard Libraries" course is an excellent resource for Python programmers of all skill levels. Whether you're a beginner looking to strengthen your understanding of Python, or an experienced developer seeking to refresh and broaden your knowledge of Python's standard libraries, this course offers a comprehensive and engaging learning experience.
Python Standard Libraries - Powerhouse of Versatility!
Python Standard Libraries refer to a comprehensive collection of modules and packages that come bundled with the Python programming language. These libraries provide a wide range of functionalities and tools to simplify and accelerate software development. The Python Standard Libraries cover diverse areas such as file manipulation, networking, web development, data serialization, mathematical computations, data structures, and more. They offer ready-to-use modules for common tasks, allowing developers to write efficient and robust code without having to reinvent the wheel. With Python Standard Libraries, developers can leverage a rich set of functionalities to build applications, automate tasks, handle data, interact with databases, and perform various operations with ease. These libraries serve as a foundation for Python development and are widely adopted by programmers worldwide.
Who this course is for:
- Python Developers (Beginner to Intermediate)
- Software Engineers and Programmers
- Data Analysts and Data Scientists
- DevOps Engineers and System Administrators
- Test Automation Engineers
- Computer Science Students and Coding Bootcamp Graduates
- Technical Interview Candidates
Instructor
- 4.4 Instructor Rating
- 11,725 Reviews
- 437,202 Students
- 162 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.
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