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This article introduces the relevant knowledge of "sharing the small project of Python training". Many people will encounter such a dilemma in the operation of actual cases, so let the editor lead you to learn how to deal with these situations. I hope you can read it carefully and be able to achieve something!

1. The real estate price forecast of Kaggle in Boston.

Tip: beginners need to learn the basics of data cleaning before coming into contact with this project. The project will use Boston housing data published by Dean de cock on Kaggle to complete regression forecasts.

2. Python programming experiment

This project is very friendly to students who have no programming experience, and it is also suitable for students who have a foundation in other programming languages. It introduces not only the basics of Python3, but also pep8, virtualenv, testing, project structure, and flask.

3. Using logical regression to realize classification

This project comes from the Python-Bayesian Analytics Asynchronous Community. This paper mainly explains the basic concept of logical regression, and then extends the concept of reverse link function from linear regression to logical regression, and uses logical regression to classify iris problems.

4. NumPy 100 questions big clearance

Numpy is an extension of the Python language. It not only supports huge high-dimensional array and matrix operations, but also provides a large number of mathematical functions for array operations. In doing exercises, you can learn how to use numpy while consolidating the various knowledge points of numpy, reviewing the old and learning the new.

5. Introduction to the basics of Seaborn data visualization

Seaborn is a very popular graphic visualization library based on Python, which can realize most of the exploratory analysis tasks in Python environment and run on the basis of Matplotlib, making drawing more convenient and fast. Even people who do not have any foundation can make analytical and beautiful graphics through minimalist code, which is very suitable for the research of data visualization.

6. Climb the movie data of Douban ranking.

The idea of this project comes from a curriculum design in my junior year. I usually like watching movies and often need to search, but I don't know which movies have high ratings. The original project was rewritten for ease of use. This is also a practice of crawler technology and visualization technology. Mainly uses the ranking list and the movie keyword two ways to crawl the movie data.

7. Generate Wechat personal data report with one click

Everyone should want to generate a Wechat personal data report that belongs to you. After all, Wechat is an indispensable part of life. We can do a comprehensive data analysis of Wechat friends based on python, as long as you can think of it.

You can mainly count your strangers, star friends, friends who don't let him see my circle of friends, and friends who don't look at his circle of friends. Guess your closest friends, find the friends who talk to your group the most, and analyze your friends' personal signatures to generate keyword cloud images. At present, there are many such things on the Internet, but the operation of this program is very simple, only need to scan the code to log in one step operation.

How to run:

# Jump to the current directory cd directory name # uninstall the dependent library pip uninstall-y-r requirement.txt # and then reinstall the dependent library pip install-r requirement.txt # start running python generate_wx_data.py how to package into a binary executable # install pyinstaller pip install pyinstaller # jump to the current directory cd directory name # uninstall the dependent library pip uninstall-y first -r requirement.txt # and then reinstall the dependency library pip install-r requirement.txt # update setuptools pip install-- upgrade setuptools # start packaging pyinstaller generate_wx_data.py "sharing Python training project" so much for this introduction Thank you for your reading. If you want to know more about the industry, you can follow the website, the editor will output more high-quality practical articles for you!

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