Another key aspect of Python’s appeal is speed. In many data analytics use cases, the Python code tends to be simple – requiring just a few lines — which means that time to market is reduced.

The code can be outputted as a Python object or an Excel value ... Python in Excel is revolutionizing the way data analytics is conducted. It offers a unique blend of Python’s data analysis ...

Industrial strength data analytics involves some very ... Intel VTune provides line-by-line source code profiling to help find and correct issues causing performance hotspots or bottlenecks in Python ...

The Google Analytics API provides access to Google Analytics (GA) report data such as pageviews ... future sections of the code. !pip install --upgrade google-api-python-client ...

Analytics startup Bodo Inc. said ... Because of Python’s performance limitations, data science organizations typically rewrite Python code into a compiled language such as Scala, C++ or Java.

Big data, machine learning, data science — the data analytics revolution is evolving ... MXNet currently supports building and training models in Python, R, Scala, Julia, and C++; trained ...