Python is an ‘equalizer’ which can help every part of a data operation to work together. Python is now the most popular language for data science, used by 15.7 million developers globally. It ...

Participants will explore the many features of Python and practical use cases within financial markets, including data analysis and library creation. With a hands-on Python tutorial at the end of each ...

Stefanie Molin recently wrote the technical book “Hands-On Data Analysis with Pandas” (published by Packt on July 26, 2019). Her work shows readers how to analyze data and get started with ...

Following is what you need for this book: This book is for software engineers, financial traders, data analysts, and entrepreneurs. Anyone who wants to get started with algorithmic trading and ...

“Analytics libraries such as NumPy, Pandas, SciPy, and several others have created an efficient way to build and test data models for use in analytics,” said Matt Ratliff, who is a Senior Data ...

The model uses geospatial data in order to estimate, analyze and visualize the most cost effective electrification option (grid, mini grid & stand-alone) for electrifying presently unserved areas ...