Python for data science - part 1 - Introduction to python
Programming is a must-have skill in data science as it provides the means to write dynamic and sophisticated scripts that can handle the whole data pipeline, in addition to the rich collection of libraries that support complex functionalities in mathematics, statistics, data processing, data visualization, machine learning, etc. In this programming introduction, Python will be used because it's easy to understand, free to use, supports many libraries, and commonly used among data scientists/analysts.
Topics discussed in this part include:
-What is programming?
-What do programming keywords and syntax mean?
-Why is python used?
-Variables and their data types.
-Operators and their precedence.
-Statements vs expressions.
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