100+ Exercises – Python – Data Science – NumPy – 2022
100+ Exercises – Python – Data Science – NumPy – 2022, Improve your Python programming and data science skills and solve over 100 exercises in NumPy.
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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
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- 250+ Exercises – Data Science Bootcamp in Python
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- 250+ Questions – Job Interview – Python Developer
SQL DEVELOPER:
- SQL Bootcamp – Hands-On Exercises – SQLite – Part I
- SQL Bootcamp – Hands-On Exercises – SQLite – Part II
- 110+ Exercises – Python + SQL (sqlite3) – SQLite Databases
- 200+ Questions – Job Interview – SQL Developer
JOB INTERVIEW SERIES:
- 250+ Questions – Job Interview – Python Developer
- 200+ Questions – Job Interview – SQL Developer
- 200+ Questions – Job Interview – Software Developer – Git
- 200+ Questions – Job Interview – Data Scientist
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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.
