Udemy course NumPy for Scientific Computation with Python – 2022 Edition by The Click Reader
NumPy for Scientific Computation with Python – 2022 Edition is the best Udemy course on the market. With this offer they will be able to greatly improve their knowledge and become more competitive within the Development category. Therefore, if you are looking to improve your Development skills we recommend that you download NumPy for Scientific Computation with Python – 2022 Edition udemy course.
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- Author: The Click Reader
- Course rating: 4.2
- Category: Development
- Modality: Online
- Status: Available
- Idiom: English
Abouth The Click Reader
Hi! We’re The Click Reader and we are a team of data scientists from Nepal dedicated to providing top-notch educational courses related to Data Visualization, Data Science, and Machine Learning on the Udemy platform.
What the udemy NumPy for Scientific Computation with Python – 2022 Edition course teaches?
What you’ll learn Learn what is NumPy, its history and benefits. Learn to install and import NumPy in Python. Learn the basics of NumPy arrays. Learn the different ways to create NumPy arrays. Learn how to perform indexing and slicing on NumPy arrays. Learn how to perform various NumPy operations. Learn how to save and load NumPy arrays in different file formats.
Learn the A-Z of NumPy for working with multi-dimensional arrays in Python.
More information about the course NumPy for Scientific Computation with Python – 2022 Edition
Are you a beginner looking to kick off your career in data science using Python? Then, this course on NumPy is a must for you! NumPy, or Numerical Python, is an open-source Python library that helps you perform simple as well as complex computations on numerical data. It is the go-to scientific computation library for beginners as well as advanced Python programmers and it is used mostly by statisticians, data scientists, and engineers. In this course, you will learn everything you need to know about NumPy arrays starting from how to install NumPy and import it in Python. You will be introduced to various methods of creating NumPy arrays and you will also learn various operations on them. Furthermore, the course helps you learn how to perform indexing and slicing on NumPy arrays. The course ends off by teaching you how to save/load NumPy arrays in different file formats. Why you should take this course? Updated 2022 course content: All our course content is updated as per the latest technologies and tools available in the market Practical hands-on knowledge: This course is oriented to providing a step-by-step implementation guide rather than just sticking to the theory. Guided support: We are always there to guide you through the Q/As so feel free to ask us your queries.