100+ Exercises – Python Programming – Data Science – NumPy

100+ Exercises – Python Programming – Data Science – NumPy

Improve your Python programming and data science skills and solve over 100 exercises in NumPy!

Language : english

Note: 4.1 / 5.0

Description

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RECOMMENDED LEARNING PATH

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PYTHON DEVELOPER:

  • 200+ Exercises – Programming in Python – from A to Z

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

  • 150+ Exercises – Object Oriented Programming in Python – OOP

  • 150+ Exercises – Data Structures in Python – Hands-On

  • 100+ Exercises – Advanced Python Programming

  • 100+ Exercises – Unit tests in Python – unittest framework

  • 100+ Exercises – Python Programming – Data Science – NumPy

  • 100+ Exercises – Python Programming – Data Science – Pandas

  • 100+ Exercises – Python – Data Science – scikit-learn

  • 250+ Exercises – Data Science Bootcamp in Python


SQL DEVELOPER:

  • SQL Bootcamp – Hands-On Exercises – SQLite – Part I

  • SQL Bootcamp – Hands-On Exercises – SQLite – Part II


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COURSE DESCRIPTION

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100+ Exercises – Python Programming – Data Science – NumPy

Welcome to the course 100+ Exercises – Python Programming – Data Science – NumPy, 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


The 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.

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