Introduction of Python Basics Print Import Pip Applied Ai With Python Batch 2 Class 5 Mohan Sivaraman
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Python Tuples & Sorting | Applied AI with Python Batch 2 · Class 11 | Mohan Sivaraman
AI Roadmap & Course Plan | Applied AI with Python Batch 2 · Class 1 | Mohan Sivaraman
String & List Manipulation in Python | Applied AI with Python Batch 2 · Class 7 | Mohan Sivaraman
Functions – Default, *args and **kwargs | Applied AI with Python Batch 1 · Class 5 | Mohan Sivaraman
Data, Tools & Machine Learning Basics | Applied AI with Python Batch 2 · Class 4 | Mohan Sivaraman
Syllabus, Why Python & Setting Up Tools | Applied AI with Python Batch 2 · Class 2 | Mohan Sivaraman
Python Data Types, Strings & Mutability | Applied AI with Python Batch 2 · Class 6 | Mohan Sivaraman
Python Dictionary – Keys & Values | Applied AI with Python Batch 1 · Class 2 | Mohan Sivaraman
Understanding a CSV with Pandas | Applied AI with Python Batch 1 · Class 8 | Mohan Sivaraman
String Iteration, enumerate & Loops | Applied AI with Python Batch 2 · Class 9 | Mohan Sivaraman
Python Lists – Loops & Comprehension | Applied AI with Python Batch 1 · Class 1 | Mohan Sivaraman
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Last Updated: November 9, 2026
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Summary
Hands-on dictionary practice: keys and values, updating and adding keys, mixed key types, and common pitfalls. Playlist: ... Writing your own functions: arguments, return values, isinstance checks and What prompt engineering is, open vs closed models, zero-shot and role-based prompting, using Markdown files for better prompts ... String manipulation, type casting a string to a list, split, and list methods append, insert and more. Playlist: Default and keyword arguments, *args and **kwargs, and when each one is the right choice. Playlist: Structured vs unstructured data, CSV/Excel/JSON, supervised learning, regression vs classification, categorical vs numerical data, ... Exploring a dataset with Pandas: info, describe, shape, dtypes, categories, map and drop. Playlist: Iterating over strings, enumerate for index and value, for loops with break and continue, and practice problems. Playlist: Iterating over lists and strings with for loops and range, list comprehension, sorting and reversing a list. Playlist:
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