Python Tools for Big Data Analytics
Abstract: Big Data poses an inherent challenge in terms of its interpretation and analytics. Numerous software are emerging to refine this data challenge and are bundled with plethora of tools for data correlation and analysis. This paper discusses Big Data, challenges and Use Cases of Big Data to highlight the requirement of Big Data Analytics. It also gives an insight into most popular emerging Python tools for Big Data Analytics along with few of the examples. These libraries provides integrated, intuitive routines for performing common data manipulations and analysis on such data sets. It aims to be the foundation layer for the future of statistical computing in Python.
Keywords: Big Data, Big Data Analytics, Python, Data Science, Machine Learning, Artificial Intelligence, Machine Model, Pandas, Numpy, Matplotlib, Scipy
How to Cite?: Lt Col Rahul Dutt Sharma, "Python Tools for Big Data Analytics", Volume 9 Issue 5, May 2020, International Journal of Science and Research (IJSR), Pages: 597-602, https://www.ijsr.net/getabstract.php?paperid=SR20507222308, DOI: https://dx.doi.org/10.21275/SR20507222308