Python Learning Note

Source : NTU Python Class, 程式語言教學誌, Python 3.5.1 documentation

Table：

• Python_自學課程介紹
• Python_軟體安裝
• Python_install OpenCV-3.1
• Python_Note01

• Python 特色 
• Python 2.x VS. Python 3.x

• Python_Note02
• Python_Note03

• Object
• Data Type

numeric types -- int, float, complex
sequence types -- list, tuple, range, string
set types -- set, frozenset
dictionary type -- dict

• Boolean  

• Python_Note04

• Control Flow Tools

• Python_Note05

• 字串處理
• 字串函數處理與格式化

• Python_Note06

• Function
• Built-in Functions
• Yield產生器

• Python_Note07

• Class

• Python_Note08

• 封裝 (encapsulation) 
• 繼承 (inheritance) 
• 多型 (polymorphism)

• Python_Note09

• Exception Handling
• raise

• Python_Note10

• print()
• open()
• read()
• readline()
• readlines()

•  Python_Note11

• Module
• Standard Library

• Python_Note12

• 網頁抓取與解析

• Python_Note13

• Python_pandas
• Introduce to Data Structures

• Python_Note14

• Python_numpy
• Numpy for Matlab users
• numpy.ndarray.shape
• numpy.unique
• numpy.meshgrid 
• numpy.ravel 
• numpy.cov 
• numpy.linalg (Linear algebra)

• Python_Note15

• matplotlib
• matplotlib.color
• matplotlib.imshow vs cv2.imshow 

• Python_Note16

• Regular expression operations

• Python_Note17

• .py to exe
• Pyinstaller

• Python_Note18

• Python_GUI
• Python_Tkinter

• Python_Note19

• Python_OpenCV

• Python_Note20

• Python_Python_scikit_learn

• Python_Note21

• threading — Thread-based parallelism

• Python_Note22

• Coding Style

• Python_Note23

• conda install vs pip install
• set virtual environment for jupyter lab

 

附錄：

• Python_pip
• Python_中文編碼問題
• Python_佔位符
• Python_Built-in Function
• Python_sorted
• Python_Lambda
• Python_cmp() between 3.x vs 2.x
• Python_When should i use str() and when should i use repr() ?
• Python_zip()
• Python_enumerate()

python_Note23

conda install vs pip install
conda install 與 pip install 的差別

pip : only install the package you select

conda : not only install the package you select, but also install other packages or lib that the selected package will need. For example, "conda install tensorflow-gpu" will install cudatoolkit and cudn, and only be linked in the (virtual)environment.

pip : 只安裝該package

conda 會安裝該package所需要的package，甚至lib，例如tensorflow-gpu版，會一併安裝cudatoolkit和cudnn，且只會在該環境，其他環境不會受影響。

set virtual environment for jupyter lab
設定虛擬環境給jupyter lab使用

base : conda create -n py36 python=3.6 # create new virtual environment, named py36, and python kernel =3.6

py36 : pip install ipykernel jupyterlab # change to py36 environment and install ipykernel (jupyterlab is not necessary

py36 : python -m ipykernel install --user --name py36 --display-name tf15 # install/link the py36 kernel to jupyter lab, and name it as tf15

補充:重開機後base 的tf15無法呼叫GPU，原因不明，但的確是連到tf1.15版本，而在py36就可以呼叫到GPU，一切正常。
base: jupyter lab   # 在base可以連動py36的tf15 
in base environment, jupyter lab's tf15 is linked to py36

py36 : jupyter lab # 顯示python 和 tf15，但兩個都是指向py36
in py36 environment, although jupyer lab displays tf15 and python,both 2 are linked to py36.