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NumPy for Scientific Computing with Python

Hands-on Course

NumPy for Scientific Computing with Python

Course Overview 

NumPy is a scientific computing library in Python that provides a high-performance multidimensional array object and tools for working with these arrays. It is one of the most important libraries used in the field of Data Science, Machine Learning, and Artificial Intelligence.

This course aims to introduce students to NumPy and its functions and teaches all the basic fundamental concepts needed to use NumPy.

Objectives

The learning objectives of the course are set out as follows:

  • Learn how to download and install NumPy in your system.
  • Learn to create NumPy arrays using built-in functions and Python data structures.
  • Learn about basics of NumPy arrays.
  • Learn about arithmetic, statistical and transformative array operations in NumPy.
  • Learn input/output operations in NumPy.

You can expect to have all of these objectives met by the time you reach the end of this course.

Pre-requisites

For this course, you need to be familiar with the Python Programming Language. If you are new to Python, you can check out our previous course on ‘Python Programming for Newbies’.

Best way to work through the course

This course is detailed and requires a good amount of attention from your end.

If you come across any problem, please check to see if your code matches exactly with the course or not. If you still are facing errors or have some doubts, please provide your question through the comment section of the specific chapter you are stuck on.

We also recommend you join our community and get connected to our vibrant network of data science aspirants. Once you are in the community, you can share your learning, form a study group or even get help building a project around NumPy.

Ready to add a fundamental skill to your Data Science toolbelt? Let’s get started.

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