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By - Balaji Srinivasan

Complete Numpy A-Z | Numpy for Data Science | Beginner Friendly | Machine Learning

Complete Numpy A-Z | Numpy for Data Science | Beginner Friendly | Machine Learning

Balaji Srinivasan

0 mins
5710+ students

📝 About This Course

In this video I explain how to implement arrays in python using the module numpy. This is a module you must download as it is not built into python. But it is installed already if you use the Jupyter IDE from Anaconda Numpy is extremely useful for using data structures and multi-dimensional lists. It has some built-in methods and properties that will save you a lot of time. At the core of the NumPy package, is the ndarray object. This encapsulates n-dimensional arrays of homogeneous data types, with many operations being performed in compiled code for performance. There are several important differences between NumPy arrays and the standard Python sequences Stay tuned for more such videos and please subscribe to the channel GitHub: https://github.com/balajisrinivas LinkedIn: https://www.linkedin.com/in/balaji2512/ #numpy #python #datascience #machinelearning #neuralnets

🚀 What You'll Learn

Complete understanding of the topic

Hands-on practical knowledge

Real-world examples and use cases

Industry best practices

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