Python is an open-source object-oriented language. It has many features of which one is the wide range of external packages. There are a lot of packages for installation and use for expanding functionalities. These packages are a repository of functions in python script. NumPy is one such package to ease array computations.

Python is an open-source object-oriented language. It has many features of which one is the wide range of external packages. There are a lot of packages for installation and use for expanding functionalities. These packages are a repository of functions in python script. NumPy is one such package to ease array computations. To install all these python packages we use the pip- package installer. Pip is automatically installed along with Python. We can then use pip in the command line to install packages from PyPI.

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Python comes pre-installed on Mac OS. However, it has an old system version the newer versions can be downloaded alongside.

1. Open the terminal in your MacBook.

2. In the terminal, we use the pip command to install the package

- pip install numpy

3. If you use Python3, enter the pip3 command.

- pip3 install numpy

numpy tutorials install numpy installing numpy numpy installation

Learn numpy features to see why you should use numpy - high performance, multidimensional container, broadcasting functions, working with varied databases

Learn the uses of numpy - Alternate for lists in python, multi dimensional array, mathematical operations. See numpy applications with python libraries.

Learn about NumPy Array, NumPy Array creation, various array functions, array indexing & Slicing, array operations, methods and dimensions,It also includes array splitting, reshaping, and joining of arrays. Even the other external libraries in Python relate to NumPy arrays.

This is a step by step tutorial of the Numpy module in python for Beginners. Learn about Numpy arrays and setting up Numpy on our system to get started. An array is a variable that can store multiple values in itself. An array can hold a large number of values so they can be accessed using index numbers. The index always begins with 0 being the first element of the array and moving to the nth element, which will be the last. These values are of the same data type, which can be one of these strings, integer or float and also many others. Arrays can be of three types such as indexed arrays, associative arrays and multidimensional arrays.

Learn NumPy Copy and View - Deep Copy, shallow copy and No copy in NumPy, NumPy view creation and types with examples, NumPy View vs Copy