Python for data science - part 4 - Code Tracing
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, 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:
-Code tracing.
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