Table of Contents
✅ Basic commands
? Example: requirements.txt file content
?️ Practical operation steps
? Verify that the installation is successful
? Tips
Home Backend Development Python Tutorial python pip install requirements.txt example

python pip install requirements.txt example

Jul 29, 2025 am 12:24 AM

The requirements.txt file is used to list Python project dependencies. It can be installed in one click through pip install -r requirements.txt; 1. Use pip install -r requirements.txt to install dependencies; 2. It is recommended to create and activate the virtual environment first to avoid polluting the global environment; 3. Use pip list or pip show package name to verify the installation; 4. Use pip freeze > requirements.txt to generate a dependency list; 5. Development dependencies can be stored separately in requirements-dev.txt; 6. When installation fails, you can use domestic mirror source to accelerate, such as -i https://pypi.tuna.tsinghua.edu.cn/simple/. The entire process ensures that the project environment is quickly and reliably completed.

python pip install requirements.txt example

When you see the requirements.txt file in a Python project, it usually contains a list of third-party packages that the project depends on. Use pip install to install these dependencies in one click. Here is a complete example description.

python pip install requirements.txt example

✅ Basic commands

 pip install -r requirements.txt

This command will read the requirements.txt file in the current directory and install all the packages listed in it.


? Example: requirements.txt file content

Suppose you have a requirements.txt file in your project directory, with the following content:

python pip install requirements.txt example
 requests==2.31.0
flask>=2.0.0
numpy
pandas==2.0.1
django[argon2]

this means:

  • Install the exact version of requests 2.31.0
  • The version of flask installed should not be lower than 2.0.0
  • Install the latest available version of numpy
  • Install the exact version of pandas 2.0.1
  • Install django and additionally install argon2 support (for password hashing)

?️ Practical operation steps

  1. Open the terminal (command line)
  2. Go to the project directory (make sure requirements.txt is in the current path)
 cd /path/to/your/project
  1. Execute the installation command
 pip install -r requirements.txt

? Tip: It is recommended to use virtual environment to avoid polluting the global Python environment.

python pip install requirements.txt example
 # Create a virtual environment python -m venv venv

# Activate the virtual environment# Windows:
venv\Scripts\activate
# macOS/Linux:
source venv/bin/activate

# Install the dependency on pip install -r requirements.txt

? Verify that the installation is successful

You can run the following command to view installed packages:

 pip list

Or check for specific packages:

 pip show requests

? Tips

  • If you want to generate your own requirements.txt , you can use:

     pip freeze > requirements.txt
  • It is recommended to use requirements-dev.txt to include development dependencies (such as testing tools, formatting tools, etc.):

     pip install -r requirements-dev.txt
  • If the installation fails, it may be a network problem. You can use the domestic mirror source to accelerate:

     pip install -r requirements.txt -i https://pypi.tuna.tsinghua.edu.cn/simple/

    Basically that's it. As long as there is a correct requirements.txt file, pip install -r requirements.txt can help you quickly build the project environment.

    The above is the detailed content of python pip install requirements.txt example. For more information, please follow other related articles on the PHP Chinese website!

Statement of this Website
The content of this article is voluntarily contributed by netizens, and the copyright belongs to the original author. This site does not assume corresponding legal responsibility. If you find any content suspected of plagiarism or infringement, please contact admin@php.cn

Hot AI Tools

Undress AI Tool

Undress AI Tool

Undress images for free

Undresser.AI Undress

Undresser.AI Undress

AI-powered app for creating realistic nude photos

AI Clothes Remover

AI Clothes Remover

Online AI tool for removing clothes from photos.

Clothoff.io

Clothoff.io

AI clothes remover

Video Face Swap

Video Face Swap

Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Tools

Notepad++7.3.1

Notepad++7.3.1

Easy-to-use and free code editor

SublimeText3 Chinese version

SublimeText3 Chinese version

Chinese version, very easy to use

Zend Studio 13.0.1

Zend Studio 13.0.1

Powerful PHP integrated development environment

Dreamweaver CS6

Dreamweaver CS6

Visual web development tools

SublimeText3 Mac version

SublimeText3 Mac version

God-level code editing software (SublimeText3)

Hot Topics

PHP Tutorial
1488
72
How to handle API authentication in Python How to handle API authentication in Python Jul 13, 2025 am 02:22 AM

The key to dealing with API authentication is to understand and use the authentication method correctly. 1. APIKey is the simplest authentication method, usually placed in the request header or URL parameters; 2. BasicAuth uses username and password for Base64 encoding transmission, which is suitable for internal systems; 3. OAuth2 needs to obtain the token first through client_id and client_secret, and then bring the BearerToken in the request header; 4. In order to deal with the token expiration, the token management class can be encapsulated and automatically refreshed the token; in short, selecting the appropriate method according to the document and safely storing the key information is the key.

Explain Python assertions. Explain Python assertions. Jul 07, 2025 am 12:14 AM

Assert is an assertion tool used in Python for debugging, and throws an AssertionError when the condition is not met. Its syntax is assert condition plus optional error information, which is suitable for internal logic verification such as parameter checking, status confirmation, etc., but cannot be used for security or user input checking, and should be used in conjunction with clear prompt information. It is only available for auxiliary debugging in the development stage rather than substituting exception handling.

What are python iterators? What are python iterators? Jul 08, 2025 am 02:56 AM

InPython,iteratorsareobjectsthatallowloopingthroughcollectionsbyimplementing__iter__()and__next__().1)Iteratorsworkviatheiteratorprotocol,using__iter__()toreturntheiteratorand__next__()toretrievethenextitemuntilStopIterationisraised.2)Aniterable(like

What are Python type hints? What are Python type hints? Jul 07, 2025 am 02:55 AM

TypehintsinPythonsolvetheproblemofambiguityandpotentialbugsindynamicallytypedcodebyallowingdeveloperstospecifyexpectedtypes.Theyenhancereadability,enableearlybugdetection,andimprovetoolingsupport.Typehintsareaddedusingacolon(:)forvariablesandparamete

How to iterate over two lists at once Python How to iterate over two lists at once Python Jul 09, 2025 am 01:13 AM

A common method to traverse two lists simultaneously in Python is to use the zip() function, which will pair multiple lists in order and be the shortest; if the list length is inconsistent, you can use itertools.zip_longest() to be the longest and fill in the missing values; combined with enumerate(), you can get the index at the same time. 1.zip() is concise and practical, suitable for paired data iteration; 2.zip_longest() can fill in the default value when dealing with inconsistent lengths; 3.enumerate(zip()) can obtain indexes during traversal, meeting the needs of a variety of complex scenarios.

Python FastAPI tutorial Python FastAPI tutorial Jul 12, 2025 am 02:42 AM

To create modern and efficient APIs using Python, FastAPI is recommended; it is based on standard Python type prompts and can automatically generate documents, with excellent performance. After installing FastAPI and ASGI server uvicorn, you can write interface code. By defining routes, writing processing functions, and returning data, APIs can be quickly built. FastAPI supports a variety of HTTP methods and provides automatically generated SwaggerUI and ReDoc documentation systems. URL parameters can be captured through path definition, while query parameters can be implemented by setting default values ​​for function parameters. The rational use of Pydantic models can help improve development efficiency and accuracy.

How to test an API with Python How to test an API with Python Jul 12, 2025 am 02:47 AM

To test the API, you need to use Python's Requests library. The steps are to install the library, send requests, verify responses, set timeouts and retry. First, install the library through pipinstallrequests; then use requests.get() or requests.post() and other methods to send GET or POST requests; then check response.status_code and response.json() to ensure that the return result is in compliance with expectations; finally, add timeout parameters to set the timeout time, and combine the retrying library to achieve automatic retry to enhance stability.

Setting Up and Using Python Virtual Environments Setting Up and Using Python Virtual Environments Jul 06, 2025 am 02:56 AM

A virtual environment can isolate the dependencies of different projects. Created using Python's own venv module, the command is python-mvenvenv; activation method: Windows uses env\Scripts\activate, macOS/Linux uses sourceenv/bin/activate; installation package uses pipinstall, use pipfreeze>requirements.txt to generate requirements files, and use pipinstall-rrequirements.txt to restore the environment; precautions include not submitting to Git, reactivate each time the new terminal is opened, and automatic identification and switching can be used by IDE.

See all articles