Start contributing to a Popular Open Source Project

TAIPY: a Python -based web framework, helping data -driven application development

TAIPY is a framework using Python to build a data -driven web application. Developers can create web applications only Python, which is particularly convenient for data scientists and analyst professionals, and it is becoming increasingly popular in the industry. As of this article, TAIPY has 1.9k fork and 17.6K stars on Github.

I have participated in the TAIPY project for some time. At first, I originated from my strong interest in data science and analysis, and my technical skills fit well with the project. The contribution process allowed me to gain valuable practical experience, which can solve the problems encountered by developers using the framework, and learned a lot from experienced maintenance personnel. During the Hacktoberfest, I found that many developers encountered difficulties when testing the local environment. Therefore, I decided to share my workflow, hoping to help other developers who intend to contribute to TAIPY.

Efficient workflow setting

When starting to contribute to the project, first check the

file. After reading the contribution guide, you will find that TAIPY uses React in the background, even if the user does not need to contact any JavaScript code. CONTRIBUTING.md

Most of my contributions are concentrated in the React part. To check the update, you need to build React, install the updated TAIPY in the Python environment, and run the test TAIPY script. It is tedious to do this every time, so I created a Bash script.

taipy-build.sh

After running this script, just run

<code class="language-bash">#!/bin/bash
# 自动化Taipy代码库的构建过程

# 构建taipy-gui
cd ~/projects/taipy/frontend/taipy-gui/dom;
npm i;
cd ..;
npm i --omit=optional;
npm run build;

# 构建taipy
cd ~/projects/taipy/frontend/taipy;
npm i;
npm run build;

# 安装新的taipy

cd ~/projects/test-taipy;
source venv/bin/activate
pip install ../taipy</code>

in the virtual environment to view the updated effect.

taipy run --use-reloader main.py Very important, it is used to install TAIPY locally. Make sure to point to the TAIPY directory in the file system.

Example PR pip install ../taipy

Let's take a look at the first PR I submitted to TAIPY in 2025.

A developer found that in a single selection mode, the height attribute of the Selector component is invalid.

First of all, you need to create a simple Python script to reproduce this bug. Otherwise, the update cannot be checked if the problem is repaired. In this issue, the maintenance personnel provided a script, so I used his script.

After reappearing BUG, ​​I started to view the TAIPY code library. When searching "Selector", I found the file "Selector.tsx" that needed to deal with this problem. I also found that in the SELECTOR component, the high attribute was not used in a single -selection mode and check mode. I need to pass height attributes in some way. With reference to the treatment of other style attributes, it is best to use

and create a height.

Initially, I passed SX to FormControl, which conforms to expectations, but the feedback of maintenance personnel is best controlled at the Radiography/Formgroup level, because the label is still visible in the TAIPY application. This is a challenge for me, because the style of this way does not work.

When adjusting the style in the browser developer tool, I found that

is the cause of this behavior. I added flexFlow: column wrap to . After installing the updated TAIPY, I used the test script to verify this repair plan. heightSx flexFlow: 'column nowrap' After the repair is achieved, the unit test is required. It is not difficult to add new test cases, because I can see many examples from the existing tests. I added new tests to the height of the single -selection and check mode.

This looks simple, but I tried many times before successful. After improving the feedback with the maintenance personnel, my PR was finally approved and merged. ??

Choose a problem that suits you

I know you are eager to complete the impressive work, but if you choose a problem that exceeds your ability, it is unsustainable for you and maintenance staff. Choosing simple questions can make you familiar with the project and learn new knowledge. I usually study the problem before applying for the task to ensure that I can deal with it.

As Tomo Fujita said:

Don't worry Don't compare Don't expect too fast Treat yourself

If it is too difficult for you to contribute to the TAIPY code library, you can also pay attention to TAIPY-DOC. Documents are very important for library.

Summary

The contribution code for TAIPY is a beneficial journey. Whether you repair the bug, enhance function, or improve documentation, every contribution is important. Don't hesitate, start with small things -your efforts may help the developers who encounter the same problem!

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