NumPy and SciPy are two widely used Python libraries that are essential for domains like data science, machine learning, etc. This free course is a great way to develop skills that will help you later in your career path. This NumPy and SciPy is a self-paced learning program with a hands-on approach.
This course includes:
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NumPy
NumPy Array
Inspecting a NumPy Array
Mathematical functions using NumPy
NumPy Array manipulation
Indexing and Slicing
NumPy vs List
SciPy
Sub Package Cluster
1.1 Introduction to NumPy
1.2 Initializing a NumPy Array
1.3 Inspecting a NumPy Array
1.4 Performing mathematical functions using NumPy
1.5 NumPy Array manipulation
1.6 Indexing and Slicing using NumPy
1.7 NumPy vs List
1.8 SciPy Introduction
1.9 Sub Package Cluster
NumPy: Quiz
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There are no mandated prerequisites for this course. However, basic knowledge of programming will be beneficial for better understanding.
Our subject matter experts are selected from top MNCs, who have over 12 years of experience in the Data Science domain, as instructors.
This tutorial is only meant to give you an understanding of the two basic Python libraries. No job assistance or job guarantee is provided with this free course. You will, however, be able to take up a related course to further your career with the knowledge you will have acquired from this course.
You can use Python without knowing either of the two libraries. However, it is recommended that you have a good hold of NumPy & SciPy before starting. It gives you an edge over other beginners as you can grasp things easily.
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