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The next generation ESB and application server written in Python and released under a commercial-friendly LGPL license

With more and more companies trying to give highly personalized experiences to their customers, data visualization has become a very significant appendage of every organization. The scope of crunching sensible information from the big pool of data available is unlimited. And, nowadays data scientists are leaning heavily on Python for doing this job.

NumPy is the fundamental package for scientific computing in Python. Numpy stands for Numerical Python. If you want to work with machine learning or data science, Numpy is a Python library you will mostly use. It is a Python library that provides a multidimensional array object for fast operations on arrays, including mathematical, logical, shape manipulation, sorting, selecting, I/O, discrete Fourier transforms, basic linear algebra, basic statistical operations, and much more.

If you want to learn more about data analysis, then check out this article. In this article you are going to learn : - What is Data Analysis - Different Types of Data Analysis - Responsibilities of a Data Analyst - Skills of a Data Analyst and more. https://www.learnandmakeit.com/best-way-to-learn-data-analysis/

from datetime import timedelta

It took me a long time to decide what programming language to learn. Finally, I found a good article that persuaded me to choose Python - https://diceus.com/python-developer-salary/. Python turned out to be the fourth among other languages. Its rating has recently increased that led to the growth of Python developer wages. So, as I chose exactly Python, your information is helpful and useful for me. Thanks for sharing!

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