Jupyter Notebooks for How to Think Like a Computer Scientist - Learning with Python 3 (RLE) Textbook
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Updated
Dec 28, 2024 - Jupyter Notebook
Code refers to the set of instructions written in a programming language that a computer can execute to perform a specific task. This topic covers the fundamentals of writing, reading, and understanding code, as well as best practices for maintaining and optimizing it. It includes discussions on different programming languages, coding standards, and tools used to write and debug code. The topic also explores the importance of code in software development, automation, and various technological innovations.
Jupyter Notebooks for How to Think Like a Computer Scientist - Learning with Python 3 (RLE) Textbook
FLUX, Stable Diffusion, SDXL, SD3, LoRA, Fine Tuning, DreamBooth, Training, Automatic1111, Forge WebUI, SwarmUI, DeepFake, TTS, Animation, Text To Video, Tutorials, Guides, Lectures, Courses, ComfyUI, Google Colab, RunPod, Kaggle, NoteBooks, ControlNet, TTS, Voice Cloning, AI, AI News, ML, ML News, News, Tech, Tech News, Kohya, Midjourney, RunPod
General-purpose repository for illustrative examples on coding and data analysis
A free notebook on Notion of bunches of details about what makes a qualified developer.
My notebook for lessons from the QA Training Academy.
This is a collection of Markdown notes written in Obsidian for programming and it includes notes on C, C++, using and configuring VSCode and many other things programming related. Anyone is welcome to contribute to this Markdown repository and make corrections.
Welcome to my notebook
Analysis using Pandas DataFrame in Jupyter Notebook
It is a notebook of pre-processing steps and visualization of health screening data
Machine Learning in PySpark
The **Virtual Escape Room** is an interactive puzzle-solving game built with Python in a Jupyter Notebook environment. It challenges users with logic puzzles and riddles that test critical thinking, creativity, and time management skills. The game features a countdown timer, input validation, and an intuitive text-based interface.
The data is being analysed on the basis of the types of attack. The attack includes various types and we will be working with those IP addresses that are attacking our personal computers, so in this project I have excluded distinct ip addresses of every attack that are causing harm to our computers. The project is coded on jupyter notebook in anna
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