“Python can deal with massive data sets that didn’t exist 20 years ago. It’s really on the cutting edge of business analytics,” says Daniel Guetta, associate professor of professional practice and director of the Business Analytics Initiative.
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most popular and versatile programming languages globally. https://www.tiobe.com/tiobe-index/
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can be used to automate repetitive tasks, analyze data, produce visualizations and much more.
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Its syntax is more similar to how people speak than other lower-level programming languages.
Python is a high-level language.
High-level languages:
- Are programmer-friendly and easier to understand.
- They are less memory efficient.
- They are easier to debug.
- They are relatively easy to maintain.
- Are portable (so they can run on any supporting platform)
- Require a compiler or interpreter.
- They are widely used.