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

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.

 

Who this course is for:

everyone who wants to learn by doing

everyone who wants to improve their Python programming skills

everyone who wants to improve their data science skills

everyone who wants to prepare for an interview

Enroll Now