While people are increasingly surprised by the pace of Chat GPT upgrades, it also makes everyone feel pressure. In such a fast-paced Internet world, developers need to constantly learn and update knowledge to stay ahead and deliver high-quality software efficiently.
Whether it's an integrated development environment (IDE), version control system, testing tool, collaboration platform, or documentation tool, learning and mastering these popular and top tools is critical to increasing productivity and efficiency.
1. Visual Studio Code
Visual Studio Code (VSCode) is a free, open source, and cross-platform code editor that supports multiple programming languages. It has a rich plug-in ecosystem and can be expanded according to different project needs.
Purpose: Writing, editing, and debugging code.
Example: In VSCode, we can easily create a new Python file, such as hello_world.py, and enter the following code:
bash copy code pythonCopy code print("Hello, World!")
Running this code through VSCode's built-in terminal, we will see the output of "Hello, World!".
2. Git
Git is a distributed version control system used to track file changes in a project. It helps you manage code history, merge changes, and collaborate on development.
Purpose: Version control and collaborative development.
Example: We can use Git to initialize a new code repository and add a file:
csharp copy code bashCopy code git init echo "Hello, World!" > README.md git add README.md git commit -m "Initial commit"
3. GitHub/GitLab
GitHub and GitLab are code hosting platforms that provide version control, issue tracking, and code review functions. They help you share code and collaborate with team members.
Purpose: Code hosting and team collaboration.
Example: Create a new repository on GitHub and push the local repository to the remote repository:
lessCopy code bashCopy code git remote add origin https://github.com/your_username/your_repository.git git branch -M main git push -u origin main
4. Docker
Docker is a lightweight container technology that allows you to deploy applications and their dependencies in isolated environments.
Purpose: Application deployment and environment consistency.
Example: Deploy a simple Python web application using Docker. First, create a Dockerfile:
sql复制代码sqlCopy code FROM python:3.8-slim WORKDIR /app COPY requirements.txt . RUN pip install --no-cache-dir -r requirements.txt COPY . . CMD ["python", "app.py"]
Then, use the docker build command to build the Docker image, and the docker run command to run the container:
css copy code bashCopy code docker build -t my-python-app . docker run -p 8080:8080 my-python-app
5.JNPF
This is a kind of visual page assembly + business logic configuration, including visual development, automatic code generation and real-time preview, which shortens the development cycle, prevents duplication of construction, reduces development costs, improves development efficiency, and lowers the front-end development threshold. It does not require a lot of coding work.
The JNPF rapid development platform encapsulates thousands of common classes on the front and back ends for easy expansion; it integrates a code generator to support front-end and front-end business code generation to meet rapid development and improve work efficiency; the framework integrates forms, reports, charts, large screens, etc. Various commonly used demos are easy to use directly; the back-end framework supports Vue2 and Vue3.
Official website:www.jnpfsoft.com/?csdn. If you don’t want to hear my blabbering, you can go directly to the website to experience it. If you have free time, you can do some knowledge expansion.
6. Postman
Postman is a tool for API development and testing. With Postman, you can easily create, send, and test HTTP requests, as well as view the responses.
Purpose: API development and testing.
Example: Use Postman to test a simple GET request. For example, request https://api.github.com/users/your_username to get GitHub user information. In Postman, enter the request URL, select the GET method, and send the request. Postman will display the response results, including status code and response body.
7. PyCharm
PyCharm is an integrated development environment (IDE) for Python that provides functions such as code completion, syntax highlighting, and debugging.
Purpose: Python development.
Example: In PyCharm, we can create a new Python project and write a simple function like this:
css copy code pythonCopy code def add(a, b): return a + b result = add(1, 2) print(result)
PyCharm will provide us with intelligent code completion and syntax checking to help us write correct code quickly.
8. Travis CI
Travis CI is a continuous integration and continuous deployment (CI/CD) service for automating build, test, and deployment projects.
Purpose: Automate build, test and deployment.
Example: In a GitHub project, we can set up Travis CI by creating a configuration file called .travis.yml:
makefile copy code yamlCopy code language: python python: - "3.8" install: - pip install -r requirements.txt script: - pytest
This configuration file specifies that the project uses Python 3.8 and runs pytest for testing. Travis CI automatically runs builds and tests when there are new commits or pull requests.
