Name: Practical practice of getting started with Python projects from scratch
Uploaded: 2022-04-21T17:25:45+8:00
Duration: 1236 min 29 s
Description: A practical introduction to Python projects with zero foundation. This course allows you to have a global understanding of the usage of Python, become familiar with commonly used Python libraries during use, and develop programming ideas.

Chapter1Python network and crawler: How to monitor GitHub project updates and automatically open web pages
25 minutes01 seconds; How to quickly compare values from multiple libraries
32 minutes13 seconds; How to send new library reminder to mobile phone
31 minutes30 seconds; How to monitor a certain Weibo data in real time
43 minutes29 seconds; How to automatically follow each other on Zhihu
26 minutes47 seconds; How to crawl Weibo data for a certain period of time
49 minutes35 seconds
Chapter2Python graphical interface development: How to make a small tool that displays hidden files
21 minutes51 seconds; How to make a small tool for compressing images
30 minutes27 seconds; How to implement real-time network speed monitoring
29 minutes52 seconds; How to make a small tool that runs a script
24 minutes49 seconds; How to make a countdown widget
46 minutes46 seconds; How to make a scheduled script runner (Part 1)
22 minutes49 seconds; How to make a scheduled script runner (Part 2)
36 minutes37 seconds
Chapter3Pythonartificial intelligence: Manually implement a simple iris classifier
43 minutes22 seconds; Implement iris classification using scikit-learn’s kNN classification algorithm
22 minutes02 seconds; The impact of hyperparameters of kNN algorithm on iris classification
21 minutes38 seconds; Use sklearn's linear regression algorithm to achieve house price prediction
24 minutes57 seconds; Visual linear model for house price prediction
19 minutes42 seconds; Comparing the iris classification accuracy of various algorithms
26 minutes08 seconds; Use cross-validation to adjust parameters of the iris classification model
20 minutes07 seconds; Using feature preprocessing to improve the performance of housing price prediction models
28 minutes31 seconds
Chapter4Python script: How to fuzzy search files with Python
17 minutes53 seconds; How to realize automatic classification of files?
21 minutes33 seconds; How to automatically decompress and delete compressed packages
16 minutes14 seconds; How to customize group WeChat messages
34 minutes11 seconds; How to keep programs running normally
18 minutes21 seconds; How to automatically create a WeChat group
30 minutes07 seconds; How to use object-oriented implementation to switch workspaces
43 minutes31 seconds; How to implement a reminder to read later
39 minutes52 seconds; How to customize shortcut key input
44 minutes11 seconds
Chapter5Pythondata analysis: Compare the average riding time of shared bikes per quarter
34 minutes07 seconds; Compare the average riding time trends of various types of shared bicycle users
37 minutes06 seconds; Compare the proportion of each user category of shared bicycles
17 minutes26 seconds; Statistical histogram of riding time for different user categories of shared bicycles
26 minutes35 seconds; Grouped bar chart that counts the quarterly riding time of various types of shared bicycle users
26 minutes13 seconds; Compare the quantity and calories of various drinks in coffee shops
31 minutes08 seconds; Analyze video game sales by country and present them using stacked bar charts
32 minutes49 seconds; Analyze variable relationship data of Pokémon
33 minutes35 seconds; Analyze data usage of different mobile operating systems
23 minutes54 seconds; Analyze GP market values
26 minutes21 seconds; Analyzing the Global Happiness Report by Year and Region
27 minutes44 seconds; Level analysis of happiness index
25 minutes25 seconds

Practical practice of getting started with Python projects from scratch

About Instructor

php.cn