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How To Install NumPy for Python 3 .11.1 on windows 10/11 [ 2023 Update ]
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Today we learn, how to install NumPy for python 3.11.1 on windows 10/11.
NumPy is a Python library that stands for 'Numerical Python'. It is used for scientific computing and data analysis. It provides a high-performance multidimensional array object, and tools for working with these arrays. It also includes functions for linear algebra, Fourier transform, and random number generation. NumPy is a fundamental library for scientific computing in Python, and is often used in conjunction with other libraries such as Pandas and Scikit-learn.
Once you have installed NumPy, you can start using it in your Python scripts. Here are some examples of how you can use NumPy:
2. Array operations: You can perform mathematical operations on arrays, such as addition, subtraction, multiplication, and division.
3. Array shape and reshaping: You can get the shape of an array using the shape attribute, and change the shape of an array using the reshape() function.
4. Array indexing and slicing: You can access individual elements of an array using indexing and slicing.
5. Array statistics: You can compute various statistics of an array, such as mean, standard deviation, and sum, using NumPy functions.
These are just a few examples of the many capabilities of NumPy. There are many more functions and methods available in the library for more advanced use cases such as Linear Algebra operations, Fourier Transformations, Random number generation and so on.
✻ I really hope you find this helpful video. ♥
The instructions in this video tutorial can be applied to laptops, desktops, computers, and tablets which run the Windows 10 operating system like Windows 10 Home, Windows 10 Professional, Windows 10 Enterprise, and Windows 10 Education. This tutorial will work on all hardware manufacturers, like Dell, HP, Acer, Asus, Toshiba, Lenovo, and Samsung.
#numpy #numpyInstallation #Piptutorialforbeginners #Pythontutorial #Pythonprogramming #sazidhabib
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NumPy is a Python library that stands for 'Numerical Python'. It is used for scientific computing and data analysis. It provides a high-performance multidimensional array object, and tools for working with these arrays. It also includes functions for linear algebra, Fourier transform, and random number generation. NumPy is a fundamental library for scientific computing in Python, and is often used in conjunction with other libraries such as Pandas and Scikit-learn.
Once you have installed NumPy, you can start using it in your Python scripts. Here are some examples of how you can use NumPy:
2. Array operations: You can perform mathematical operations on arrays, such as addition, subtraction, multiplication, and division.
3. Array shape and reshaping: You can get the shape of an array using the shape attribute, and change the shape of an array using the reshape() function.
4. Array indexing and slicing: You can access individual elements of an array using indexing and slicing.
5. Array statistics: You can compute various statistics of an array, such as mean, standard deviation, and sum, using NumPy functions.
These are just a few examples of the many capabilities of NumPy. There are many more functions and methods available in the library for more advanced use cases such as Linear Algebra operations, Fourier Transformations, Random number generation and so on.
✻ I really hope you find this helpful video. ♥
The instructions in this video tutorial can be applied to laptops, desktops, computers, and tablets which run the Windows 10 operating system like Windows 10 Home, Windows 10 Professional, Windows 10 Enterprise, and Windows 10 Education. This tutorial will work on all hardware manufacturers, like Dell, HP, Acer, Asus, Toshiba, Lenovo, and Samsung.
#numpy #numpyInstallation #Piptutorialforbeginners #Pythontutorial #Pythonprogramming #sazidhabib
--------------------------------------
Don't forget to like, comment, share and subscribe to my channel.
🌟🌟🌟Follow me on🌟🌟🌟
--------------------------------------
------------------------------------------------------------------------
🌟🌟🌟More Videos You may like also 🌟🌟🌟
------------------------------------------
★★★ Software ★★★
★★★ VirtualBox ★★★
★★★ Account ★★★
★★★ Games ★★★
★★★ Others ★★★
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