阿葛廷

人一定要靠自己!

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故事是這樣的 今年目標 要考 TF 證照

摳摳 刷下去了 要開始準備環境

想說 我有我熟悉且愛情的康達

一切好辦事

哪知道 官方說明 說 Don't use the Anaconda

很粗體唷!!!! LOL ….

好乖乖來 蹲 當年應該就要熟悉的 python venv

Creating Virtual Environment

python3 -m venv tutorial-env

This will create the tutorial-env directory if it doesn’t exist, and also create directories inside it containing a copy of the Python interpreter, the standard library, and various supporting files.

A common directory location for a virtual environment is `.venv. This name keeps the directory typically hidden in your shell and thus out of the way while giving it a name that explains why the directory exists. It also prevents clashing with .env environment variable definition files that some tooling supports.

  • 通常都叫 venv 拉!
    • cd 到你 python 開發工作的目錄
    • ex: python -m venv venv
      • 會建立 一個venv的資料夾 (如果不存在的話)
      • 內容物 就會是全新感受的 python venv
  • 指令講解
    • -m 代表 <modul-name>

啟動 venv 的 環境:

  • Windows run:
    • 普通 cmd
      • tutorial-env\Scripts\activate.bat
    • powerShell
      • 用管理員身分開啟
      • 執行 Set-ExecutionPolicy Unrestricted
      • tutorial-env\Scripts\activate.ps1
  • Unix / MacOs run:
    • source tutorial-env/bin/activate

安裝 tensorflow 最新版

"""
(tutotial-env) PS E:\Python\Python_venv_practice\tutotial-env> pip list
Package                Version
---------------------- ---------
absl-py                0.11.0
astunparse             1.6.3
cachetools             4.2.1
certifi                2020.12.5
chardet                4.0.0
flatbuffers            1.12
gast                   0.3.3
google-auth            1.25.0
google-auth-oauthlib   0.4.2
google-pasta           0.2.0
grpcio                 1.32.0
h5py                   2.10.0
idna                   2.10
Keras-Preprocessing    1.1.2
Markdown               3.3.3
numpy                  1.19.5
oauthlib               3.1.0
opt-einsum             3.3.0
pip                    20.2.3
protobuf               3.14.0
pyasn1                 0.4.8
pyasn1-modules         0.2.8
requests               2.25.1
requests-oauthlib      1.3.0
rsa                    4.7
setuptools             49.2.1
six                    1.15.0
tensorboard            2.4.1
tensorboard-plugin-wit 1.8.0
tensorflow             2.4.1
tensorflow-estimator   2.4.0
termcolor              1.1.0
typing-extensions      3.7.4.3
urllib3                1.26.3
Werkzeug               1.0.1
wheel                  0.36.2
wrapt                  1.12.1
"""

基本指令複習

  • pip list

    • will display all of the packages installed in the virtual environment:

  • pip freeze

    • will produce a similar list of the installed packages, but the output uses the format that pip install expects. A common convention is to put this list in a requirements.txt file:

環境用好了 就用這環來練習 TF

其他

  • jupyter lab
    • pip install jupyterlab

  • 把 venv 的環境 加到 kernel 裡面

    • ipython kernel install --name "local-venv" --user

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