NumPy Introduction

Install NumPy

Create NumPy Arrays

Dimensions in NumPy Arrays

Initialize NumPy Arrays

NumPy DataTypes

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Array Indexing

Array Slicing

Array Shape

Reshape a NumPy Array

Iterate a NumPy Array

Joining Arrays

Splitting Arrays

Searching an Array

Sorting Arrays

Axes in NumPy Arrays

Intersection of NumPy Arrays

Difference between NumPy Arrays

Arithmetic Operations

Scalar Operations

Statistical Operations

Random module in NumPy

NumPy Logs

NumPy LCM and HCF

Learn NumPy with coding examples and exercises

Amit started his own venture Studyopedia in 2018, to create, publish and sell programming courses to top E-Learning companies/websites, on today's trending technologies, including Python, Data Science, Machine Learning, etc. Has left a job offer from Accenture to follow his dream of being an entrepreneur. He is also having extensive experience in creating courses (Video + Text) for engineers and working IT professionals.

Amit Diwan

NumPy, standing for Numerical Python, is a cornerstone in the realm of data science and numerical computing within Python. Recognized for its efficiency and capability to handle multi-dimensional arrays and matrices, NumPy integrates seamlessly with Python and C to offer a robust platform for scientific computation. This open-source library not only simplifies complex mathematical operations but also significantly reduces the lines of code required to execute them, making it a preferred choice for professionals and enthusiasts alike. Our comprehensive course is meticulously designed to introduce learners to the fundamental concepts of NumPy, ensuring a solid foundation in data science.

Through the course, participants will learn from the very basics of installing NumPy and creating arrays, to mastering techniques such as array slicing, indexing, reshaping, and operations like joining and splitting arrays. Each concept is explained with clarity, supported by several practical examples that illuminate the theoretical aspects, making learning both engaging and effective.

To reinforce the learning experience, the course offers six online quizzes that challenge and polish the skills acquired. This course is not just about learning NumPy; it's about empowering individuals with the tools and understanding necessary to harness the power of numerical computing in Python, paving the way for advancements in data science and beyond. Whether you're a beginner eager to delve into the world of scientific computing or a professional looking to enhance your skill set, this course is designed to equip you with the knowledge and confidence to leverage NumPy to its full potential.

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Amit Diwan