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100+ Exercises – Python – Data Science – NumPy – 2022

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Last updated on June 23, 2022 4:48 pm

Description

What you’ll learn

  • solve over 100 exercises in NumPy
  • deal with real programming problems in data science
  • work with documentation and Stack Overflow
  • guaranteed instructor support

100+ Exercises – Python Programming – Data Science – NumPy

Welcome to the 100+ Exercises – Python Programming – Data Science – NumPy course, where you can test your Python programming skills in data science, specifically in NumPy.

Some topics you will find in the exercises:

  • working with numpy arrays

  • generating numpy arrays

  • generating numpy arrays with random values

  • iterating through arrays

  • dealing with missing values

  • working with matrices

  • reading/writing files

  • joining arrays

  • reshaping arrays

  • computing basic array statistics

  • sorting arrays

  • filtering arrays

  • image as an array

  • linear algebra

  • matrix multiplication

  • determinant of the matrix

  • eigenvalues and eignevectors

  • inverse matrix

  • shuffling arrays

  • working with polynomials

  • working with dates

  • working with strings in array

  • solving systems of equations

This course is designed for people who have basic knowledge in Python and NumPy package. It consists of 100 exercises with solutions. This is a great test for people who are learning the Python language and data science 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 with NumPy being the second most used tool in the “Other Frameworks and Libraries” category. 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 improve data science skills
  • everyone who wants to prepare for an interview
  • data scientists / data analytics / machine learning engineers



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