100% Discount || 210+ Exercises – Python Standard Libraries – 2022

مدة صلاحية الكوبونات الخاصة بيودمي هي 3 ايام أو اقل

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210+ Exercises – Python Standard Libraries – 2022

Requirements

  • completion of all courses in the Python Developer learning path
  • basic knowledge of Python

Description

210+ Exercises – Python Standard Libraries – from A to Z

Welcome to the course 210+ Exercises – Python Standard Libraries – from A to Z where you can test your Python programming skills. Python is a programming language that lets you work quickly and integrate systems more effectively. Python can be easy to pick up whether you’re a first time programmer or you’re experienced with other languages.

Knowing the built-in packages and modules significantly improves our development skills. We will use, for example:

  • datetime
  • os
  • sys
  • copy
  • string
  • re
  • collections
  • pprint
  • pathlib
  • random
  • math
  • statistics
  • numbers
  • decimal
  • fractions
  • itertools
  • functools
  • pickle
  • zipfile
  • csv
  • json
  • urllib.request
  • timeit

The course is designed for people who have basic knowledge in Python. It consists of 210 exercises with solutions. The course is focused on practical learning. This is a great test for people who are learning the Python language and are looking for new challenges. Exercises are also a good test before the interview. Many popular topics were covered in this course.

If you’re wondering if it’s worth taking a step towards Python, don’t hesitate any longer and take the challenge today!

Stack Overflow Developer Survey

According to the Stack Overflow Developer Survey 2021, Python is the most wanted programming language. Python passed SQL to become our third most popular technology. Python is the language developers want to work with most if they aren’t already doing so.

Who this course is for:

  • everyone who wants to learn by doing
  • everyone who wants to improve Python programming skills
  • everyone who wants to prepare for an interview
  • data scientists / data analytics / machine learning engineers


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