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

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RECOMMENDED LEARNING PATH

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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.