GitHub 上帮助人们学习编码的 资源。

该仓库收集了各种编程语言和技术领域的项目，包括前端、后端、数据科学、机器学习、人工智能、计算机视觉、游戏开发等等。每个项目都有详细的说明和指导，让学习者能够从实际项目中学习和练习。

学习者将从头开始构建应用程序的编程教程，让你可以通过实际项目训练来了解一门语言的特性，从而吸收编程知识。

在访问仓库时，您会发现20多种编程语言的清单，我们将只专注于Python部分，但随时可以查阅其他编程语言的模块。

Python:

Web Scraping:

• Mining Twitter Data with Python
• Scrape a Website with Scrapy and MongoDB
• How To Scrape With Python and Selenium WebDriver
• Which Movie Should I Watch using BeautifulSoup

Web Applications:

• Build a Microblog with Flask
• Create a Blog Web App In Django
• Choose Your Own Adventure Presentations
• Build a Todo List with Flask and RethinkDB
• Build a Todo List with Django and Test-Driven Development
• Build a RESTful Microservice in Python
• Microservices with Docker, Flask, and React
• Build A Simple Web App With Flask
• Create A Django API in under 20 minutes
• Build a Community-driven delivery application with Django, Postgres and JavaScript
  • Part 1
  • Part 2
• Realtime Chat application with Vue, django-notifs, RabbitMQ and uWSGI
  • Part 1
  • Part 2
  • Part 3
  • Part 4
  • Part 5
  • Part 6

Bots:

• Build a Reddit Bot
• How to Make a Reddit Bot - YouTube (video)
• Build a Facebook Messenger Bot
• Making a Reddit + Facebook Messenger Bot
• How To Create a Telegram Bot Using Python
  • Part 1
  • Part 2
• Create a Twitter Bot In Python

Data Science:

• Learn Python For Data Science by Doing Several Projects (video):
  • Part 1: Introduction
  • Part 2: Twitter Sentiment Analysis
  • Part 3: Recommendation Systems
  • Part 4: Predicting Stock Prices
  • Part 5: Deep Dream in TensorFlow
  • Part 6: Genetic Algorithms

Machine Learning:

• Write Linear Regression From Scratch in Python (video)
• Step-By-Step Machine Learning In Python
• Predict Quality Of Wine
• Solving A Fruits Classification Problem
• Learn Unsupervised Learning with Python
• Build Your Own Neural Net from Scratch in Python
• Linear Regression in Python without sklearn
• Multivariate Linear Regression without sklearn
• Music Recommender using KNN
• Find Similar Quora Questions-
  • Using BOW, TFIDF and Xgboost
  • Using Word2Vec and Xgboost
• Detecting Fake News with Python and Machine Learning

OpenCV:

• Build A Document Scanner
• Build A Face Detector using OpenCV and Deep Learning
• Build fastest custom object Detection system yusing YOLOv3(video playlist)
• Build a Face Recognition System using OpenCV, Python and Deep Learning
• Detect The Salient Features in an Image
• Build A Barcode Scanner
• Learn Face Clustering with Python
• Object Tracking with Camshift
• Semantic Segmentation with OpenCV and Deep Learning
• Text Detection in Images and Videos
• People Counter using OpenCV
• Tracking Multiple Objects with OpenCV
• Neural Style Transfer with OpenCV
• OpenCV OCR and Text Recognition
• Text Skew Correction Tutorial
• Facial Landmark Detection Tutorial
• Object Detection using Mask-R-CNN
• Automatic Target Detection Tutorial
• EigenFaces using OpenCV
• Faster(5-point) Facial Landmark Detection Tutorial
• Hand Keypoint Detection
• Dlib Correlation Object Tracking -
  • Single Object Tracker
  • Mutiple Object Tracker
• Image Stitching with OpenCV and Python
• Instance Segmentation with OpenCV
• Face mask detector

Deep Learning:

• Using Convolutional Neural Nets to Detect Facial Keypoints
• Generate an Average Face using Python and OpenCV
• Break A Captcha System using CNNs
• Use pre-trained Inception model to provide image predictions
• Create your first CNN
• Build A Facial Recognition Pipeline
• Build An Image Caption Generator
• Make your Own Face Recognition System
• Train a Language Detection AI in 20 minutes
• Object Detection With Neural Networks
• Learn Twitter Sentiment Analysis -
  • Part I - Data Cleaning
  • Part II - EDA, Data Visualisation
  • Part III - Zipf's Law, Data Visualisation
  • Part IV - Feature Extraction(count vectoriser)
  • Part V - Feature Extraction(Tfidf vectoriser)
  • Part VI - Doc2Vec
  • Part VII - Phrase Modeling + Doc2Vec
  • Part VIII - Dimensionality Reduction
  • Part IX - Neural Nets with Tfdif vectors
  • Part X - Neural Nets with word2vec/doc2vec
  • Part XI - CNN with Word2Vec
• Use Transfer Learning for custom image classification
• Learn to Code a simple Neural Network in 11 lines of Python
• Build a Neural Network using Gradient Descent Approach
• Train a Keras Model To Generate Colors
• Get Started with Keras on a Custom Dataset
• Use EigenFaces and FisherFaces on Faces94 dataset
• Kaggle MNIST Digit Recognizer Tutorial
• Fashion MNIST tutorial with tf.keras
• CNN using Keras to automatically classify root health
• Keras vs Tensorflow
• Deep Learning and Medical Image Analysis for Malaria Detection
• Transfer Learning for Image Classification using Keras
• Code a Smile Classifier using CNNS in Python
• Natural Language Processing using scikit-learn
• Code a Taylor Swift Lyrics Generator
• Mask detection using PyTorch Lightning

Miscellaneous:

• Build a Simple Interpreter
• Build a Simple Blockchain in Python
• Write a NoSQL Database in Python
• Building a Gas Pump Scanner with OpenCV/Python/iOS
• Build a Distributed Streaming System with Python and Kafka
• Writing a basic x86-64 JIT compiler from scratch in stock Python
• Making a low level (Linux) debugger
  • Part 1
  • Part 2: C
• Implementing a Search Engine
  • Part 1
  • Part 2
  • Part 3
• Build the Game of Life
• Create terminal ASCII art
• Write a Tic-Tac-Toe AI
• Create photomosaic art
• Build the game "Snake" in the terminal
• Write yourself a Git
• A Python implementation of a Python bytecode runner
• Create a Voice assistant using Python