100+ Exercises – Python Programming – Data Science – NumPy

100+ Exercises - Python Programming - Data Science - NumPy

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 – 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

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