亚洲国产日韩欧美一区二区三区,精品亚洲国产成人av在线,国产99视频精品免视看7,99国产精品久久久久久久成人热,欧美日韩亚洲国产综合乱

Practical practice of getting started with Python projects from scratch

• Chapter1 Python network and crawler
• 1-1 How to monitor GitHub project updates and automatically open web pages
• 1-2 How to quickly compare values ??from multiple libraries
• 1-3 How to send new library reminder to mobile phone
• 1-4 How to monitor a certain Weibo data in real time
• 1-5 How to automatically follow each other on Zhihu
• 1-6 How to crawl Weibo data for a certain period of time
• Chapter2 Python graphical interface development
• 2-1 How to make a small tool that displays hidden files
• 2-2 How to make a small tool for compressing images
• 2-3 How to implement real-time network speed monitoring
• 2-4 How to make a small tool that runs a script
• 2-5 How to make a countdown widget
• 2-6 How to make a scheduled script runner (Part 1)
• 2-7 How to make a scheduled script runner (Part 2)
• Chapter3 Pythonartificial intelligence
• 3-1 Manually implement a simple iris classifier
• 3-2 Implement iris classification using scikit-learn’s kNN classification algorithm
• 3-3 The impact of hyperparameters of kNN algorithm on iris classification
• 3-4 Use sklearn's linear regression algorithm to achieve house price prediction
• 3-5 Visual linear model for house price prediction
• 3-6 Comparing the iris classification accuracy of various algorithms
• 3-7 Use cross-validation to adjust parameters of the iris classification model
• 3-8 Using feature preprocessing to improve the performance of housing price prediction models
• Chapter4 Python script
• 4-1 How to fuzzy search files with Python
• 4-2 How to realize automatic classification of files?
• 4-3 How to automatically decompress and delete compressed packages
• 4-4 How to customize group WeChat messages
• 4-5 How to keep programs running normally
• 4-6 How to automatically create a WeChat group
• 4-7 How to use object-oriented implementation to switch workspaces
• 4-8 How to implement a reminder to read later
• 4-9 How to customize shortcut key input
• Chapter5 Pythondata analysis
• 5-1 Compare the average riding time of shared bikes per quarter
• 5-2 Compare the average riding time trends of various types of shared bicycle users
• 5-3 Compare the proportion of each user category of shared bicycles
• 5-4 Statistical histogram of riding time for different user categories of shared bicycles
• 5-5 Grouped bar chart that counts the quarterly riding time of various types of shared bicycle users
• 5-6 Compare the quantity and calories of various drinks in coffee shops
• 5-7 Analyze video game sales by country and present them using stacked bar charts
• 5-8 Analyze variable relationship data of Pokémon
• 5-9 Analyze data usage of different mobile operating systems
• 5-10 Analyze GP market values
• 5-11 Analyzing the Global Happiness Report by Year and Region
• 5-12 Level analysis of happiness index