Pluralsight - Getting Started with NumPy (2025)

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Free Download Pluralsight - Getting Started with NumPy (2025)
Released 5/2025
By Chris Behrens
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner | Genre: eLearning | Language: English + subtitle | Duration: 53m | Size: 117 MB

This course will teach you how to use the premiere Python library for numeric work, NumPy.
Working with Python means working with numbers and data, and the best tool Python has for working with numeric and statistical data is NumPy. In this course, Getting Started with NumPy, you'll gain the ability to leverage the NumPy library to solve a collection of number-oriented problems. First, you'll explore how to install and configure NumPy. Next, you'll discover how to work with arrays and statistical measures. Finally, you'll learn how to cleanse data and perform sophisticated analysis on a data set. When you're finished with this course, you'll have the skills and knowledge of working with NumPy needed to take your Python analysis skills to the next level.
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Getting Started with NumPy
Duration: 54m | .MP4 1280x720, 30 fps(r) | AAC, 48000 Hz, 2ch | 113 MB
Genre: eLearning | Language: English​

NumPy is a powerful python library that provides N-dimensional arrays and functions to perform scientific computing. In this course, you'll learn the basics of NumPy, its data types and attributes, and NumPy array creation in different scenarios.
NumPy, which is short for Numerical Python, is a very crucial library of Python when working in the field of data science.

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Getting Started with NumPy
Duration: 54m | .MP4 1280x720, 30 fps(r) | AAC, 48000 Hz, 2ch | 113 MB
Genre: eLearning | Language: English​

NumPy is a powerful python library that provides N-dimensional arrays and functions to perform scientific computing. In this course, you'll learn the basics of NumPy, its data types and attributes, and NumPy array creation in different scenarios.
NumPy, which is short for Numerical Python, is a very crucial library of Python when working in the field of data science.

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