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Top 25 Data Science Topics in Python

  Foundations Introduction to Python for Data Science – syntax, Jupyter, libraries. Data Structures in Python – lists, dictionaries, sets, and tuples for data handling. NumPy for Numerical Computing – arrays, broadcasting, linear algebra. Pandas for Data Analysis – dataframes, cleaning, aggregation. Data Visualization Basics – Matplotlib, Seaborn, Plotly. Data Preparation Data Cleaning & Preprocessing […]

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Top 25 Python Programming Ideas

  AI, Data & Automation Build Your Own AI Chatbot with GPT-4/5 APIs – personalised assistants for study, work, or business. Stock Market Price Predictor using Machine Learning – train models on real-time financial data. Automated Resume Optimizer (ATS-Friendly) – parse and score resumes using Python & NLP. AI-Powered Blog Post Generator – generate SEO-optimised

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Python FAQ

Table of Contents Add a header to begin generating the table of contents Scroll to Top General Python FAQ Frequently Asked Questions What is Python ? Python is an interpreted, interactive, object-oriented programming language. It incorporates modules, exceptions, dynamic typing, very high level dynamic data types, and classes. It supports multiple programming paradigms beyond object-oriented

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Python Glossary

Terms Description Abstract base class Abstract base classes complement duck-typing by providing a way to define interfaces when other techniques like hasattr() would be clumsy or subtly wrong (for example with magic methods). ABCs introduce virtual subclasses, which are classes that don’t inherit from a class but are still recognized by isinstance() and issubclass(); see

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