Programming is the process of designing and building an executable computer program to accomplish a specific computing result. It involves tasks such as analysis, generating algorithms, profiling algorithms' accuracy and resource consumption, and the implementation of algorithms in a chosen programming language (coding). The field of programming spans many languages and technologies, forming the backbone of software development and information technology.
Learn Python for free using open-source notebooks in Hebrew.
📓 Books, reference guides and resources on Regular Expressions, CLI one-liners, Scripting Languages and Vim.
Jupyter Notebooks for How to Think Like a Computer Scientist - Learning with Python 3 (RLE) Textbook
A free note-taking software for programmers and Computer Science students
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
This document forms the basis of several workshops/talks that get into everyday programming with R, but also includes mirrored code in Python as Jupyter notebooks.
Repositório dedicado a armazenar notebooks feitos para o treinamento interno do Grupo Turing da Universidade de São Paulo e para a Árvore de Habilidades do mesmo grupo.
The Jupyter Notebook Programming language IDE submodule for SNU Programming Tools (2D Mode)
Notebooks for Bayesian Foundations (Course 1)
Resources to learn tech (sharing useful links) 📓
📓 Today I learned tips and programming notes I find useful for me
💻 An authorial set of fundamental Python recipes on Computer Science and Programming.
Customer Service Requests Analysis is one of the practical life problems that an analyst may face. This Project is one such take. The project is a beginner to intermediate level project. This repository has a Source Code, README file, Dataset, Image and License file.
It does not matter how slow you go as long as you don't stop.
Some exercise notebook for python programming.
Created by Programmers