Udemy

380+ Exercises - Python Programming Mega Pack - Built-in

Enroll Now
  • 18,848 Students
  • Updated 3/2025
4.9
(34 Ratings)
CTgoodjobs selects quality courses to enhance professionals' competitiveness. By purchasing courses through links on our site, we may receive an affiliate commission.

Course Information

Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
1 Hour(s) 21 Minute(s)
Language
English
Taught by
Paweł Krakowiak
Rating
4.9
(34 Ratings)

Course Overview

380+ Exercises - Python Programming Mega Pack - Built-in

Elevate Your Python Skills with Exercises - Unleash the Power of Python's Standard Libraries in this Mega Pack!

This course is an extensive hands-on training program focusing on the power and flexibility of Python's standard libraries. The course is suitable for both newcomers and experienced Python programmers, as it offers an in-depth look at the tools and functionality these libraries offer.

This course features over 380 exercises, covering a wide range of Python's standard libraries. These include sys, os, math, random, datetime, collections, and more. These libraries offer a vast array of functionalities and shortcuts, which make Python an efficient and powerful programming language.

The course begins with the basics, gradually increasing the complexity of the problems as you grow comfortable with each library's capabilities. This modular approach ensures that each student can learn at their own pace and truly understand the functionality each library provides before moving on to the next one.

Each module includes a series of exercises designed to provide hands-on experience and reinforce understanding. The exercises present real-world scenarios, allowing students to understand the practical applications of each library's features.

Solutions to all the exercises are provided, enabling students to cross-check their solutions and gain insights into alternative or more efficient coding approaches.

This course provides an immersive learning experience. By the end of the course, students will have gained a comprehensive understanding of Python's standard libraries, enabling them to write more efficient, cleaner, and optimized Python code.


Python Ecosystem: A Universe of Possibilities

The Python ecosystem is a vast and ever-growing collection of tools, libraries, and frameworks that extend Python’s core capabilities. From data science and machine learning (NumPy, pandas, scikit-learn, TensorFlow) to web development (Django, Flask) and automation (BeautifulSoup, Selenium), the ecosystem empowers developers to build solutions across domains. Its open-source nature and vibrant community ensure continuous innovation and support, making Python a go-to language for both beginners and professionals.

Course Content

  • 10 section(s)
  • 418 lecture(s)
  • Section 1 Tips
  • Section 2 Starter
  • Section 3 -----BASICS-----
  • Section 4 print() function
  • Section 5 Calculations in Python
  • Section 6 Slicing
  • Section 7 Data Types
  • Section 8 Strings
  • Section 9 ----- DATA STRUCTURES -----
  • Section 10 Sets

What You’ll Learn

  • solve over 380 exercises in Python
  • deal with real programming problems
  • work with documentation
  • guaranteed instructor support


Reviews

  • 今田克之
    5.0

    This is a highly useful collection of practice problems. While it only provides answers without explanations, you can enjoy learning Python by using it together with ChatGPT.

  • C
    Chatchai Vichai
    4.5

    a couple of exercises have problem.

  • P
    Paul vettukallel
    5.0

    Nothing to match this course if you want to brush up your basics on your way as a Developer or Data Science student.

  • M
    Maxwalczak
    5.0

    Interesting exercises

Start FollowingSee all

We use cookies to enhance your experience on our website. Please read and confirm your agreement to our Privacy Policy and Terms and Conditions before continue to browse our website.

Read and Agreed