That really is SQL Server's unique challenge: it must be true to its legacy, and yet avoid stasis, staying competitive with the seemingly endless array of new data technologies, both commercial ...

Neo4j, a leading graph data platform, is unveiling Neo4j Graph Data Science, the company's comprehensive graph analytics workspace built for data scientists. The platform is now available with new and ...

Python for Data Science Essential Training is one of the most popular data ... perform simple data analysis; and generate interactive graphs using the Plotly library. You should walk away from this ...

AWS Graph Notebook is an open source Python package for Jupyter notebooks ... While initially adopted by the data science and machine learning crowds, Amazon seems to believe notebooks will ...

This includes basic control structures in Python: conditional branches, for loops and recursion; functions: defining and calling functions, and recursion; in-built data structures: lists and ...

Originating from the IPython project in 2014, it now supports more than 40 programming languages, including Python, R and Julia. This interactive platform is widely used in data science ...

Already using NumPy, Pandas, and Scikit-learn? Here are five more powerful Python data science tools that deserve a place in your toolkit. Python’s rich ecosystem of data science tools is a big ...

What do you get when you combine the No. 1 code editor with the No. 1 programming language for data science? You get more than 60 million installs of the Python ...

Find out what makes Python a versatile powerhouse for modern software development—from data science to machine learning, systems automation, web and API development, and more. It may seem odd to ...