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hobotacademy / repository
Official repository for the "Python for AI" course, taught by Zahra Amini at Hobot Academy. Contains source code, Jupyter notebooks, and practical exercises for artificial intelligence and machine learning.
Welcome to the official Python for AI course repository! This course is designed and taught by Zahra Amini at Hobot Academy.
This repository contains all the source code, Jupyter notebooks, and practical exercises you need to build a strong foundation in Python, specifically tailored for Artificial Intelligence, Machine Learning, and Data Science.
The course is divided into structured modules, guiding you from Python basics to essential data science libraries:
00_Homework: Assignments and practice problems to test your skills.01_Py_Basics: Variables, data types, and basic syntax.02_Py_Conditions: Control flow with if, elif, and else statements.03_Py_List: Working with Python lists and list comprehensions.04_Py_Loop&Function: Iteration (for/while loops) and introduction to functions.05_Py_Function&Tuple&Dictionary: Advanced functions, tuples, and dictionaries.06_Py_Set&File: Sets and file handling (reading/writing data).07_Py_NumPy: Introduction to NumPy for fast numerical computing.08_Py_NumPy&Pandas: Advanced NumPy and introduction to Pandas for data manipulation.09_Py_Pandas&Matplotlib: Data analysis with Pandas and data visualization with Matplotlib.10_Matplotlib&RegEx: Advanced data plotting and basics of Regular Expressions.11_RegEx: Deep dive into Regular Expressions for text processing.12_Project: Final course projects applying all the learned concepts.Clone the repository: Open your terminal and run the following command to get a local copy of the files:
git clone [https://github.com/hobotacademy/Python-for-AI.git](https://github.com/hobotacademy/Python-for-AI.git)
Set up your environment: Ensure you have Python installed. You will also need Jupyter Notebook and the required libraries (numpy, pandas, matplotlib).
Run the Notebooks: Navigate to the cloned folder in your terminal, type jupyter notebook, and start exploring the .ipynb files interactively!
Zahra Amini Data Scientist | AI Educator | Founder of Hobot Academy 🎓
Watch the full video lectures corresponding to these materials on our YouTube channel:
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