NumPy Tutorial for Beginners 2025 | Python NumPy​ Tutorial for Free | NumPy Full Course in 5 Hours

*NumPy Tutorial for Beginners 2025 | Python NumPy​ Tutorial for Free | NumPy Full Course in 5 Hours*

NumPy stands for numerical python, it is most popular, stable and most reliable mathematical computing package. The primary use of NumPy is for efficient data handling and manipulation.
Hello & welcome to NumPy Tutorial for beginners powered by upGrad. In this comprehensive NumPy tutorial, you'll learn everything you need to know to get started with NumPy. From creating and manipulating arrays to performing advanced mathematical operations, we've got you covered.

*Note:* This video is a re-recorded version of a live session on NumPy, originally conducted by upGrad. We've refined the content specifically for our YouTube audience. Please note that you may occasionally hear interactions between the participants and the mentor, which you can disregard.

*Topics Covered:*
- 00:43 - Introduction to NumPy Tutorial
- 03:40 - What is NumPy?
- 05:51 - What is NumPy Arrays?
- 11:15 - Creating NumPy Arrays from lists.
- 19:35 - Creating NumPy Arrays from tuples.
- 21:03 - Creating NumPy Arrays from sets.
- 24:10 - Creating Arrays from lists containing elements of different data structures.
- 34:34 - What is Multidimensional Arrays?
- 34:57 - Creating 2D Arrays.
- 36:51 - Creating 3D Arrays.
- 38:38 - Reading images as Arrays.
- 51:45 - NumPy Array Attributes.
- 01:15:55 - Boolean Indexing in NumPy Arrays
- 01:27:12 - Basic Operations on NumPy Arrays
- 02:54:45 - Addition of Two Arrays
- 03:05:20 - Multiplication of Two Arrays
- 03:24:55 - Statistical Operations
- 03:50:00 - Customizing Operations along Axes
- 03:58:00 - Numerical Pattern Arrays
- 04:15:54 - Using mathematical functions and generating random numbers
- 04:28:15 - Concatenating and Splitting Arrays
- 04:33:39 - Mathematical Constants In Arrays
- 04:39:11 - Summary

So, what are you waiting for? Dive into the world of NumPy and start coding like a pro!

#NumPy #Python #DataScience #Tutorial #FreeCourse #FullCourse

Thank you for joining me in this journey through Data Visualization Using Python!
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[upGrad_edu]

*Topics Covered:*
- 00:43 - Introduction to NumPy Tutorial
- 03:40 - What is NumPy?
- 05:51 - What is NumPy Arrays?
- 11:15 - Creating NumPy Arrays from lists.
- 19:35 - Creating NumPy Arrays from tuples.
- 21:03 - Creating NumPy Arrays from sets.
- 24:10 - Creating Arrays from lists containing elements of different data structures.
- 34:34 - What is Multidimensional Arrays?
- 34:57 - Creating 2D Arrays.
- 36:51 - Creating 3D Arrays.
- 38:38 - Reading images as Arrays.
- 51:45 - NumPy Array Attributes.
- 01:15:55 - Boolean Indexing in NumPy Arrays
- 01:27:12 - Basic Operations on NumPy Arrays
- 02:54:45 - Addition of Two Arrays
- 03:05:20 - Multiplication of Two Arrays
- 03:24:55 - Statistical Operations
- 03:50:00 - Customizing Operations along Axes
- 03:58:00 - Numerical Pattern Arrays
- 04:15:54 - Using mathematical functions and generating random numbers
- 04:28:15 - Concatenating and Splitting Arrays
- 04:33:39 - Mathematical Constants In Arrays
- 04:39:11 - Summary

[Sifatullahsolo]

, ,, just left watching the video on 07:33

almost impossible to understand your english bor . need its english translation.