Language: English
Created by: Paweł Krakowiak
Rate: 4.1/ 39 ratings
Enroll: 27,104 students
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
Requirements

completed course ‘200+ Exercises – Programming in Python – from A to Z’

completed course ‘210+ Exercises – Python Standard Libraries – from A to Z’

completed course ‘150+ Exercises – Object Oriented Programming in Python – OOP’

basic knowledge of NumPy library
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 – HandsOn
 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 – scikitlearn
 250+ Exercises – Data Science Bootcamp in Python
SQL DEVELOPER:
 SQL Bootcamp – HandsOn Exercises – SQLite – Part I
 SQL Bootcamp – HandsOn 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