TeslaPython documentation

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Python documentation contents

• Web Development: Frameworks like Django, Flask.
  • Django
    • Django Framework
    • Your first Django site
    • Templates
    • Django ORM (Object Relational Mapping) and Cloud
    • Django admin
    • User management
    • Forms, user data, static files, and uploads
    • Testing your project
    • Management commnands
    • Migration
    • APIs
    • Make your pages more dynamic with HTMX
    • Django power tools
    • Where to go next
  • Flask
• Data Science and Analysis: Libraries like Pandas, NumPy, Matplotlib.
  • Pandas
    • Installing Pandas
    • Pandas Workout
  • NumPy
    • Installing NumPy
    • Using NumPy
  • Matplotlib
    • Installing Matplotlib
• Cybersecurity: Penetration testing and ethical hacking tools.
  • Requests
  • Scapy (scapy.net)
  • PyCryto or Cryptography
  • Paramiko (parakimo.org)
  • Kali Linux
    • nmap(Network Mapper) is a open source utility for network exploration and security auditing
    • sublist3r tool to perform domain harvesting, search for subdomains of teslapython.com using the Bing search engine (-e bing) with 3 threads(-t 3)
    • lm-sensors identifying overheating issues which can cause unexpexted errors and crashes and allows you monitor hardware health by reading data from various sensors.
    • stress-ng utility to test your CPUs
    • smartmontools to identify disk issues and evaluate hard drive health
    • journalctl is a command to query the “systemd” journal logs. “systemd” is a Linux system manager responsible for booting the system, managing system processes, and handling system services.
    • free - analyzing memory performance RAM
    • top - another way to check the memory RAM in real timeout
    • ps - command shows a snapshot of the current running processes and their PIDs.
• Machine Learning and AI
  • TensorFlow 2
    • Neutral Network Training with TensorFlow
    • The mechanis of TensorFlow
    • Classifying images
    • Modeling Sequential data
    • Generative adversarial networks
    • Reinforcement learning for decision making
  • PyTorch
    • Parallelizing neutral network training
    • The mechanics of PyTorch
    • Classifying images with deap convolutional neural networks
    • Modeling sequential data using recurrent neural networks
    • Improving natural language processing
    • Generative adversarial networks for synthesizing new data
    • Graph neutral networks for capturing dependencies
    • Reinforcement learning
  • Scikit-learn
    • Traning a perceptron
    • Logistic regression
    • Logistic cost function
    • Converting an Adaline implementation into an algorithms
    • Tackling overfitting via regularization
  • MATLAB with Python for AI
    • Convert Between MATLAB, PyTorch, and TensorFlow
    • Why import PyTorch and TensorFlow models into MATLAB
    • Prepare PyTorch and TensorFlow models for import
    • How to import PyTorch and TensorFlow models
    • Import PyTorch and TensorFlow models interactively
    • How to export models from MATLAB to PyTorch and TensorFlow
• Game Development
  • Pygame
    • Installing Pygame
    • Using Pygame
• Automation and Scripting
  • Python script
    • What is a Script?
    • How to run these scripts
• Web Scraping
  • Requests
  • BeautifulSoup
  • Scrapy
• Desktop Applications
  • Tkinter
    • Tkinter Overview
  • PyQt
    • Installing PyQt
    • Making an App
• Scientific Computing
  • SciPy
    • Example
  • SymPy
• Internet of Thing (IoT)
  • MicroPython
  • Raspberry Pi
• DevOps and Cloud
  • Linux and Linux API
    • Linux
    • Linux API
    • ChatGPT for linux shell (not free of charge)
  • YAML

Last update:

May 30, 2025

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