Data scientist? Here are the python libraries that you should be bffs with.
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.Hire NumPy Specialists
Analyse and existing dataset and extract extra features from an existing steam ( specific format ) , basically to extract a known field using Regex or any other suitable method , also compare the extracted features ( event and response ) accurence timing to create a new column for the dataset as a label , this label column will be the target in the training dataset in later stage