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Practical practice of getting started with Python projects from scratch

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.

Elementary

Practical practice of getting started with python projects from scratch

111816 person learning

42class hour

20 hours 36 minutes 29 secondsTotal course duration

2023-05-22update

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Gold lecturer

A total of 43 courses Student53536 Lecturer rating5.1

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Course Introduction Course Outline Other Courses

You will learn：

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.

Practical practice of getting started with Python projects from scratch

Chapter1 Python network and crawler
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Section1 How to monitor GitHub project updates and automatically open web pages
duration： 25 minutes 01 seconds

Section2 How to quickly compare values from multiple libraries
duration： 32 minutes 13 seconds

Section3 How to send new library reminder to mobile phone
duration： 31 minutes 30 seconds

Section4 How to monitor a certain Weibo data in real time
duration： 43 minutes 29 seconds

Section5 How to automatically follow each other on Zhihu
duration： 26 minutes 47 seconds

Section6 How to crawl Weibo data for a certain period of time
duration： 49 minutes 35 seconds
Chapter2 Python graphical interface development
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Section1 How to make a small tool that displays hidden files
duration： 21 minutes 51 seconds

Section2 How to make a small tool for compressing images
duration： 30 minutes 27 seconds

Section3 How to implement real-time network speed monitoring
duration： 29 minutes 52 seconds

Section4 How to make a small tool that runs a script
duration： 24 minutes 49 seconds

Section5 How to make a countdown widget
duration： 46 minutes 46 seconds

Section6 How to make a scheduled script runner (Part 1)
duration： 22 minutes 49 seconds

Section7 How to make a scheduled script runner (Part 2)
duration： 36 minutes 37 seconds
Chapter3 Pythonartificial intelligence
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Section1 Manually implement a simple iris classifier
duration： 43 minutes 22 seconds

Section2 Implement iris classification using scikit-learn’s kNN classification algorithm
duration： 22 minutes 02 seconds

Section3 The impact of hyperparameters of kNN algorithm on iris classification
duration： 21 minutes 38 seconds

Section4 Use sklearn's linear regression algorithm to achieve house price prediction
duration： 24 minutes 57 seconds

Section5 Visual linear model for house price prediction
duration： 19 minutes 42 seconds

Section6 Comparing the iris classification accuracy of various algorithms
duration： 26 minutes 08 seconds

Section7 Use cross-validation to adjust parameters of the iris classification model
duration： 20 minutes 07 seconds

Section8 Using feature preprocessing to improve the performance of housing price prediction models
duration： 28 minutes 31 seconds
Chapter4 Python script
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Section1 How to fuzzy search files with Python
duration： 17 minutes 53 seconds

Section2 How to realize automatic classification of files?
duration： 21 minutes 33 seconds

Section3 How to automatically decompress and delete compressed packages
duration： 16 minutes 14 seconds

Section4 How to customize group WeChat messages
duration： 34 minutes 11 seconds

Section5 How to keep programs running normally
duration： 18 minutes 21 seconds

Section6 How to automatically create a WeChat group
duration： 30 minutes 07 seconds

Section7 How to use object-oriented implementation to switch workspaces
duration： 43 minutes 31 seconds

Section8 How to implement a reminder to read later
duration： 39 minutes 52 seconds

Section9 How to customize shortcut key input
duration： 44 minutes 11 seconds
Chapter5 Pythondata analysis
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Section1 Compare the average riding time of shared bikes per quarter
duration： 34 minutes 07 seconds

Section2 Compare the average riding time trends of various types of shared bicycle users
duration： 37 minutes 06 seconds

Section3 Compare the proportion of each user category of shared bicycles
duration： 17 minutes 26 seconds

Section4 Statistical histogram of riding time for different user categories of shared bicycles
duration： 26 minutes 35 seconds

Section5 Grouped bar chart that counts the quarterly riding time of various types of shared bicycle users
duration： 26 minutes 13 seconds

Section6 Compare the quantity and calories of various drinks in coffee shops
duration： 31 minutes 08 seconds

Section7 Analyze video game sales by country and present them using stacked bar charts
duration： 32 minutes 49 seconds

Section8 Analyze variable relationship data of Pokémon
duration： 33 minutes 35 seconds

Section9 Analyze data usage of different mobile operating systems
duration： 23 minutes 54 seconds

Section10 Analyze GP market values
duration： 26 minutes 21 seconds

Section11 Analyzing the Global Happiness Report by Year and Region
duration： 27 minutes 44 seconds

Section12 Level analysis of happiness index
duration： 25 minutes 25 seconds

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