NumPy, short for Numerical Python, is an open source package for scientific computing and data analysis. NumPy serves as the foundation of Python’s scientific computing stack. Among the features of NumPy is ndarray, or N-dimensional array object, which is a flexible storage for data sets in Python. It also contains tools for integrating C/C++ and has capabilities for random number generation and Fourier transform.

 

NumPy is often preferred over regular Python lists for a variety of reasons. It is seen to be convenient, owing to its many free vector and matrix operations. Data structures in NumPy also takes up less space and performance in terms of speed is better, as well.

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    I have some ML code from different repos: I need for you to bring it into one format: 1. my run of it must be python [login to view URL] <stock name> 2. update all dependencies and train the model on last 3 years of data(excluding the 200 last days) 3. run the validation on last 200 days and output it to csv in format Date;Real price;Predicted price and print last line to console Budget 30$ ...

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