hello , I'm an old watch , From this week on , I will update one every week Python Getting started video series （ Will share later ： Reptiles 、web Development 、 Data analysis, etc ）.
The first issue of this week ： Get it done Python Learn programming environments and tools , Divided into 6p（6 Segments ）, Total duration 51 minute , It mainly includes ： Introduction to the Syllabus 、Python Environment installation and use 、Jupyter Install and use , And how to use it remotely jupyter, I hope it will be helpful for you to study .
At present, there are many free and systematic Python Course , Why should I record this course ？ Simply put, it means sharing what you have learned , Explore new ways to share , I look forward to making more progress from your feedback .
branch P Content abstract
Related articles ：
How to teach yourself Python, About how long ？ I recommend
One article to get the coding environment + Tools
The Syllabus ：
part , Written in 2018 year , To be updated
01 - Learning ideas + Tutorial outline introduction
from Python Learning ideas begin to introduce , It mainly talks about how to solve the programming problems for beginners , See the picture and text for the complete content How to teach yourself Python, About how long ？ I recommend
The learning outline of this series of tutorials is introduced later .
02 - install Python Programming environment
Windows The following details Python Installation of environment , And basic use ,Python edition ：3.10.1.
03 - Install using a mirror source jupyter
This section describes how to install a third-party library using an image source , And installed jupyter, add to pip The configuration file , The third-party library can be permanently installed through the image source .
04 - Programming tools Jupyter Introduction
How to start jupyter, To write 、 Run code , And basic function buttons .
Add ： The video doesn't cover
05 -Python Programming commonly used third-party packages
This paper introduces the in Python automation 、 Data analysis 、 Visualize some commonly used packages （ Briefly explain ）, Mainly introduced how in jupyter Use in pip Specify the installation of third-party packages 、 upgrade 、 Uninstall and view .
06 -Jupyter Remote anytime anywhere programming tutorial
If you have a server , You can see , Through the open jupyter Remote connection configuration , Realize remote anytime, anywhere access jupyter, Do programming exercises .
