Learn a good foundation of NumPy programming for use in machine learning and data science, or on its own for mathematical purposes.
Read more.Instructor
Hi, it's Mustafa Alawi, a Software engineer & entrepreneur. I've basically seven years of experience in web development & software development. I also work as a consultant helping small-businesses. And have a great passion for business & entrepreneurship and founded CalmAndCode. I like teaching people and providing them with the knowledge that I have as I'm talented at simplifying complex theories and matters. And one of my goals is to help my students find success and reach their goals.
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About This Course
Who this course is for:
- Python developers (All levels)
- Programmers who want to learn NumPy
What you’ll learn:Â
- How to install Python
- Create Python files
- Run Python files
- How to use NumPy
- How to create arrays in NumPy
- How to apply mathematical functions to arrays and matrices
- How to apply statistical functions to arrays and matrices
Requirements:Â
- Basic knowledge in Python (How to create simple python scripts)
This course will teach you how to get started with Numpy. Python was described as the language that is capable of doing anything and everything. The good news about this course is that you don’t need advanced knowledge in Python nor in any programming language. All you need is just simple knowledge of how to create simple Python functions/scripts.
Learning NumPy is very important if you want to either use it in machine learning and data science or on its own for mathematical purposes. And this course gives you the opportunity to learn that in a simple step-by-step approach.Â
By the end of this course, you will have learned how to use NumPy, how to create array, matrices, call, mathematical, and statistical functions of NumPy.
Why should you take this course?
There are many reasons why this course is extremely important.
- You will learn one of the most important libraries that is used extensively in data science and machine learning.
- Secondly you will improve your Python skills by learning a new skill.
- You will be able to use NumPy for mathematical purposes.
Note: The project that will be created throughout this course will be provided so that you can download it and use it for commercial and non-commercial purposes.
Our Promise to You
By the end of this course, you will have learned a good foundation of NumPy.
10 Day Money Back Guarantee. If you are unsatisfied for any reason, simply contact us and we’ll give you a full refund. No questions asked.
Get started today and learn more about programming in NumPy.
Course Curriculum
| Section 1 - Introduction | |||
| Introduction | 00:00:00 | ||
| Which IDE Should Be Used? | 00:00:00 | ||
| Installing Python – MAC Users | 00:00:00 | ||
| Installing Python – Windows Users | 00:00:00 | ||
| Installing NumPy | 00:00:00 | ||
| Important Functions | 00:00:00 | ||
| Section 2 - NumPy | |||
| Project Folder | 00:00:00 | ||
| Run File | 00:00:00 | ||
| Import NumPy | 00:00:00 | ||
| Array Info | 00:00:00 | ||
| Arrange | 00:00:00 | ||
| Reshape | 00:00:00 | ||
| Array Of Zeros | 00:00:00 | ||
| Array Of Ones | 00:00:00 | ||
| Steps | 00:00:00 | ||
| Big Arrays | 00:00:00 | ||
| Math Operations | 00:00:00 | ||
| 2-Dimensional Math | 00:00:00 | ||
| More On Math | 00:00:00 | ||
| Math Functions 1 | 00:00:00 | ||
| Math Functions 2 | 00:00:00 | ||
| Comparison | 00:00:00 | ||
| Exponential | 00:00:00 | ||
| Sum | 00:00:00 | ||
| Root | 00:00:00 | ||
| Sub Array | 00:00:00 | ||
| Statistical Functions | 00:00:00 | ||
| For | 00:00:00 | ||
| NumPy Doc | 00:00:00 | ||
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