PC Software Installation

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PC Software Installation: Editor, GitBash, Python3, Anaconda3, CUDA & CuDNN, Tensorflow & PyTorch installation.

List of PC Software to install

  1. Editor
  2. OS
  3. GPU
  4. Python
  5. Tensorflow/Pytorch

Editor

For Windows: install Notepad++

For Ubuntu / MacOS: no intallation needed, use built-in editors

  • nano (for Ubuntu / MacOS)
  • vim (for Ubuntu / MacOS)

Terminal

install Git for Windows

Linux Command 命令列指令與基本操作入門教學

  • ls -l (列出目錄檔案)
  • cd ~ (換目錄)
  • mkdir new (產生新檔案夾)
  • rm file_name (移除檔案)
  • rm –rf directory_name (移除檔案夾)
  • df . (顯示SD卡已用量)
  • du –sh directory (查看某檔案夾之儲存用量)
  • free (檢查動態記憶體用量)
  • ps –a (列出正在執行的程序)
  • kill -9 567 (移除程序 id=567)
  • cat /etc/os-release (列出顯示檔案內容，此檔案是作業系統版本)
  • vi file_name (編輯檔案)
  • nano file_name (編輯檔案)
  • clear (清除螢幕顯示)
  • history (列出操作記錄)

install Python3 on Windows PC

Python3.11.7 for Windows

  1. Go to https://www.python.org/downloads/windows/
  2. Download Windows installer (64-bit)
  3. Customomize installation to set directory to C:\Python3

checking Python version on Ubuntu PC

Ubuntu 20.04 LTS
$ python3 -V
Python 3.8.10

Ubuntu 22.04 LTS
$ python3 -V
Python 3.10.4

List of Python packages for installation

  • Open GitBash / Ubuntu Terminal
    python3 -V
    python3 –m pip install --upgrade pip
    pip -V
    pip install jupyter
    pip install pandas
    pip install matplotlib pillow imutils
    pip install opencv-python
    pip install scikit-learn
    git clone https://github.com/rkuo2000/cv2
    git clone https://github.com/rkuo2000/tf

install Tensorflow

  1. using pip to install tensorflow
    pip install tensorflow

  2. using anaconda to install tensorflow
    $ conda activate tensor
    (tensor) $ conda install tensorflow

install PyTorch

Learn Programming

Python Programming

Tensorflow Turorials

PyTorch Tutorials

Supplement

Anaconda3

(用於安裝一串版本相容的Python packages)

Anaconda3 on Windows

Anaconda3 on Ubuntu
How to Install Anaconda on Ubuntu 18.04 and 20.04

  • download Anaconda3
    $ curl -O https://repo.anaconda.com/archive/Anaconda3-2022.05-Linux-x86_64.sh
  • install Anaconda3
    $ bash Anaconda3-2021.11-Linux-x86_64.sh
  • create env
    (base) $ conda create -n tensor python=3.9
  • activate env
    (base) $ conda activate tensor
  • deactivate env
    (tensor) $ conda deactivate
  • remove an env
    (base) $ conda-env remove -n tensor

GPU acceleration

Google Colab

Google Colab 教學

Google Colab 教學 (1)｜Python 雲端開發環境安裝與快速導覽



This site was last updated June 29, 2024.