Step One: Install Git and Python
To run Python code on Github, you need to install Git and Python first. Git is a distributed version control system that can manage version control and collaborative development of code. Python is an interpreted high-level programming language commonly used for data analysis, artificial intelligence, and web development. The combination of Github and Python allows us to easily implement source code control and automated deployment.
The official website of Git is https://git-scm.com/. After downloading and installing, we need to configure the Git username, email and SSH Keys. The official website of Python is https://www.python.org/downloads/. After downloading and installing, we need to configure the Python environment variable PATH.
Step 2: Fork code repository
To run Python code on Github, you first need to download the required code locally. The code on Github is stored in the code repository (Repository). We can copy other people's code repositories to our own Github account through the Fork operation, and we can modify and update the code.
The specific operation process is as follows:
1. Log in to your Github account and enter other people's code repositories.
2. Click the Fork button in the upper right corner to copy the code repository to your Github account.
3. After the code repository is copied, enter the code repository in your Github account.
Step 3: Clone the code repository
After copying the code repository to your own Github account, you need to download the code repository locally for operation. It is recommended to use the Git command line method to clone the code warehouse on Github. The Clone operation can copy the remote code warehouse to the local and automatically create a new Git warehouse locally.
The specific operation process is as follows:
1. Create a new folder locally as a local code repository.
2. Enter the code repository in your Github account.
3. The URL address of the warehouse.
4. Open the command line window, enter the local folder, and execute the following command:
git clone 代码仓库的URL地址
5. Wait for the code repository to be downloaded and enter the local code repository.
Step 4: Install dependency packages
Python programs often rely on third-party library support. We need to install the required dependency packages to ensure that the Python program can Run correctly. Python's dependency package management tools include pip and conda, which can be installed according to the actual situation.
The specific operation process is as follows:
1. Open the command line window and enter the local code repository.
2. Execute the following command to install the Python dependency package:
pip install -r requirements.txt
3. After waiting for the dependency package installation to complete, you can view the required dependency package list in the requirements.txt file.
Step 5: Run the Python program
After completing the above steps, we can already use Python to run the code locally. The specific operation process is as follows:
1. Open the command line window and enter the local code warehouse.
2. Execute the following command to run the Python program:
python filename.py
3. After the program is completed, you can view the program execution results.
Step Six: Pull Request
If we modify and update the code after Forking other people's code repositories, in order to allow others to use our good code, we need to submit a Pull Request to others to request the code to be merged.
The specific operation process is as follows:
1. After using Git locally to submit code modifications, push the code to the code repository in your Github account.
2. Enter the code repository in your Github account.
3. Click the New Pull Request button in the upper right corner.
4. Select which branches to merge into which branches.
5. Fill in the Pull Request description information and click the Create Pull Request button.
6. After waiting for review and confirmation by the other party, the merged code is completed.
The above is the detailed content of How to run Python code on Github. For more information, please follow other related articles on the PHP Chinese website!

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