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Xiaobai tutorial -- Anaconda's jupyter notebook automatic completion configuration tutorial
2022-07-21 03:35:00 【Rua_ 0912】
One
When we're done installing anaconda after , Find out Jupyter Notebook When there is no automatic completion function in the environment , The state of mind is collapsing . Because I used pycharm, and pycharm The automatic completion function can speed up the development progress . But what? , To make Jupyter Notebook It has automatic completion function , It's not difficult . I don't say much nonsense , Let's get started .
Two
First , install anaconda, If not installed , Then you can install one . Then type it on the keyboard win+R Open command window ,
Input cmd Open the command console
Inside the console , Enter the following code , Directly copy the following code , Then click the right mouse button on the console to paste it under the console
pip install jupyter_contrib_nbextensions
And then you'll see , The Internet speed is as slow as the tortoise , Then we just need to replace pip Just the source of , Add our Chinese source after the above code . And the code becomes as follows
pip install jupyter_contrib_nbextensions -i https://pypi.tuna.tsinghua.edu.cn/simple
And then you'll find out , The current Internet speed is like a rocket , And there are many code snippets that look very advanced , Just wait for him to complete the installation . When the installation is complete “successfuly” word , As shown in the figure
tips: You may appear pip The version is too old , Ask you to update the version of the information , You can enter commands as required . Students with good English , Can be ignored
installed jupyter_contrib_nbextensions after , We enter the following code in the console
jupyter contrib nbextension install --user --skip-running-check
Wait for it to finish running
3、 ... and
After installation . We turn on Jupyter Notebook. You will find that its interface is compared with that before , There's more “ Nbextensions” bar .
Let's click on it , And check the “Hinterland” that will do , As shown in the figure
next , We can in our project . Find out Jupyter Notebook The automatic completion function of is back . We can happily develop our python La .
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