World Bank Data Analysis with Python: Use Case | OOP
In this insightful lecture, part of the 'OOP using Python' series, we delve into the practical application of Object-Oriented Programming (OOP) principles using Python to handle real-world data, specifically focusing on the World Development Indicators provided by the World Bank. Attendees will gain hands-on experience in extracting, processing, and analyzing this global data, leveraging the power of Python's OOP methodologies. The session will cover key aspects such as creating classes and objects that represent various data entities, managing data acquisition through APIs, and implementing robust data models for effective analysis. This lecture is ideal for students and professionals eager to apply Python's OOP concepts to real-world scenarios, particularly those involving large-scale development data. Participants will leave with a deeper understanding of how Python can be utilized to make meaningful interpretations and contributions to global development studies
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