Python is an interpreted high-level programming language for general-purpose programming. The language’s core philosophy is summarized in the document The Zen of Python (PEP 20), which includes aphorisms such as:
- Beautiful is better than ugly
- Explicit is better than implicit
- Simple is better than complex
- Complex is better than complicated
- Readability counts
This has now become one of the most used tool for the field of data science. The Kaggle Data Scientist survey from 2017 clearly indicating Python to be the first choice for aspiring data scientists to start building their programming skills.
The course is designed to learn the basics and fundamentals of programming, its syntax, data types and important techniques, all in a self-paced and learning mode. The tutorials and assignments use Jupyter Notebook, being is one of the most commonly used editors by programmers and data scientists. Juypter notebook documents contain live code, equations, visualizations and narrative text making learning and working simpler.
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