Python Crash Course NITK

Welcome to the Python Crash Course repository, a comprehensive collection of notes, assignments, and code files from the Python Crash Course conducted at National Institute of Technology Karnataka (NITK).

This repository serves as a complete guide for learning Python from the ground up, structured day-by-day with organized folders for each session.

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Repository Structure

• Each day is organized into folders
• Inside each folder:
  • codes.ipynb: Contains classroom coding examples and implementations.
  • notes.md: Contains in-depth explanations and notes for the day's concepts.
  • Supporting files and outputs are stored in subfolders as required.

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Table of Contents

Day	Topics Covered
Day 1	Operators in Python, Types of Errors, Data Types, Functions
Day 3	random Module, Logical Operators, Operator Precedence, if-elif-else Statements
Day 4	range(), len(), Strings, String Slicing
Day 5	enumerate(), Lists, List Methods
Day 6	round() Function, List Comprehension, Tuples, Sets, Dictionaries
Day 7	Dictionary Methods (.keys(), .values(), .items()), update() Method, File Handling (read(), readlines(), Writing to Files)
Day 8	Nested Lists, List Comprehension with Nested Lists, JSON Handling (json.dump(), json.load())
Day 9	NumPy Arrays, Creating Arrays (zeros, ones, arange, linspace), Reshaping, Slicing, Operations
Day 11	SciPy: Solving Linear Equations (solve, inv, det), Optimization (root, minimize), Curve Fitting
Day 12	Scikit-Learn: Loading Datasets, train_test_split(), K-Nearest Neighbors (KNN), Support Vector Classifier (SVC)
Day 13	Matplotlib: Plot Customization (xlabel, ylabel, linestyle, marker), Subplots, Object-Oriented Interface
Day 14	Object-Oriented Programming: Classes, __init__(), Methods, Attributes, Access Specifiers, Inheritance

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How to Use This Repository

1. Clone the repository to your local machine:

   git clone https://github.com/Tech-Savvy-Abhishek/Python_Crash_Course_NITK.git

2. Navigate to the relevant folder (e.g., Day-3) to access codes.ipynb and notes.md.
3. Execute the code examples and review notes for better understanding.

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Contributing

Feel free to raise issues or contribute to the repository with enhancements or corrections.

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Happy Learning! 🚀