What is Python?
Python is an interpreted, object-oriented, high-level programming language. It uses an elegant syntax, making programs easier to read and comes with an extensive standard library that makes it usable in a wide range of scenarios.
Why use Python?
Python is easy to use and is considered an industry-standard, general purpose language for data analytics. Whether it’s the best is a source of endless debate in the data science community. You can use Python as your data analytics language with our database – and we’ve designed it to be open and flexible, so you can add on any new data analytical language to it, as they develop over time.
When was Python created?
Python was conceived in December 1989, the name comes from Monty Python’s Flying Circus, a favourite of Guido van Rossum who created Python
Latest Python Insights
Interested in technical topics such as automatic vs. manual software testing, Python, or would just like to get some compelling tech book recommendations? Look no further.
Python is tightening its grip in the world of Machine Learning, data-centricity became pivotal for organizations, and new ways came to existence in order to merge BI and Data Science.
Data Analysis is one of the major components of the various data tools that data-driven businesses use in a daily basis. It was shown that the availability of languages like R and Python is crucial for data scientists in order to interact closely with data.
Read the white paper on Big Data Science >
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