pip | The Python package installer | Build Tool library
kandi X-RAY | pip Summary
kandi X-RAY | pip Summary
The Python package installer
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Top functions reviewed by kandi - BETA
- Decorator to collect phase information .
- Convenience method to make a HTTP request .
- main entry point for pygments .
- Install a wheel .
- Install the wheel .
- Returns a DOM builder .
- Convert an element to a diagram element .
- Run tests .
- Create a test card .
- Call a subprocess .
pip Key Features
pip Examples and Code Snippets
Lines of Code : 1License : Permissive (Apache-2.0)
Copypip install transformers
"""pip sphinx extensions"""
import optparse
import pathlib
import re
import sys
from textwrap import dedent
from typing import Dict, Iterable, Iterator, List, Optional, Union
from docutils import nodes, statemachine
from docutils.parsers import rst """Sphinx configuration file for pip's documentation."""
import glob
import os
import pathlib
import re
import sys
from typing import List, Tuple
# Add the docs/ directory to sys.path, because pip_sphinxext.py is there.
docs_dir = os.path.dirname(o # !pip install roman
import roman
# to roman
month = int(input('enter a month> ')) # 10
print(roman.toRoman(month))
pip install pypng
import png
ner = pipeline("ner", aggregation_strategy="simple", model="dbmdz/bert-large-cased-finetuned-conll03-english") # Named Entity Recognition (NER)
gunicorn -w 4 --threads 100 -b 0.0.0.0:5000 your_project:app
pip install gevent
gunicorn -w 4 -k gevent --worker-connections 1000 -b 0.0.0.0:5000 your_project:app
python -m pip install numpy
if __name__ == '__main__':
server = HTTPServer(('0.0.0.0', 8000), RequestHandler)
print('Starting server at http://0.0.0.0:8000')
server.serve_forever()
├── requirements.txt
├── Dockerfile
├── async_fastapi
├── main.py
├── auth.py
├── db.py
├── schemas.py
├── Token.py
├── users.py
├── items.py
FROM python:3.8.10
ENV WORKSPACE /opt/instalCommunity Discussions
Trending Discussions on pip
QUESTION
I am trying to get a Flask and Docker application to work but when I try and run it using my docker-compose up command in my Visual Studio terminal, it gives me an ImportError called ImportError: cannot import name 'json' from itsdangerous. I have tried to look for possible solutions to this problem but as of right now there are not many on here or anywhere else. The only two solutions I could find are to change the current installation of MarkupSafe and itsdangerous to a higher version: https://serverfault.com/questions/1094062/from-itsdangerous-import-json-as-json-importerror-cannot-import-name-json-fr and another one on GitHub that tells me to essentially change the MarkUpSafe and itsdangerous installation again https://github.com/aws/aws-sam-cli/issues/3661, I have also tried to make a virtual environment named veganetworkscriptenv to install the packages but that has also failed as well. I am currently using Flask 2.0.0 and Docker 5.0.0 and the error occurs on line eight in vegamain.py.
Here is the full ImportError that I get when I try and run the program:
...ANSWER
Answered 2022-Feb-20 at 12:31I was facing the same issue while running docker containers with flask.
I downgraded Flask to 1.1.4 and markupsafe to 2.0.1 which solved my issue.
Check this for reference.
QUESTION
When I run the command pipx install eth-brownie I receive the following error message,
...ANSWER
Answered 2021-Oct-27 at 18:10I had the same problem, Use pip rather than pipx. command: pip install eth-brownie
QUESTION
When i tried to install truffle i got these errors :-
I have installed Node.js earlier and also i have pip installed.
...ANSWER
Answered 2022-Jan-26 at 17:42Here are some references that might help:
Try installing Truffle via PowerShell in Admin mode (very important that you're in Admin mode)
You'll need to allow scripts to run as an Admin in PowerShell. To do this, here are some references in the threads in Stack Overflow:
Enable Execution of PowerShell Scripts
I ran the command Set-ExecutionPolicy -Scope CurrentUser -ExecutionPolicy Bypass -Force in PowerShell to get this to work, but please reference the threads above before doing this.
QUESTION
The installation on the m1 chip for the following packages: Numpy 1.21.1, pandas 1.3.0, torch 1.9.0 and a few other ones works fine for me. They also seem to work properly while testing them. However when I try to install scipy or scikit-learn via pip this error appears:
ERROR: Failed building wheel for numpy
Failed to build numpy
ERROR: Could not build wheels for numpy which use PEP 517 and cannot be installed directly
Why should Numpy be build again when I have the latest version from pip already installed?
Every previous installation was done using python3.9 -m pip install ... on Mac OS 11.3.1 with the apple m1 chip.
Maybe somebody knows how to deal with this error or if its just a matter of time.
...ANSWER
Answered 2021-Aug-02 at 14:33Please see this note of scikit-learn about
Installing on Apple Silicon M1 hardware
The recently introduced
macos/arm64platform (sometimes also known asmacos/aarch64) requires the open source community to upgrade the build configuation and automation to properly support it.At the time of writing (January 2021), the only way to get a working installation of scikit-learn on this hardware is to install scikit-learn and its dependencies from the conda-forge distribution, for instance using the miniforge installers:
https://github.com/conda-forge/miniforge
The following issue tracks progress on making it possible to install scikit-learn from PyPI with pip:
QUESTION
When a project is specified only via pyproject.toml (i.e. no setup.{py,cfg} files), how can it be installed in editable mode via pip (i.e. python -m pip install -e .)?
I tried both setuptools and poetry for the build system, but neither worked:
ANSWER
Answered 2022-Mar-19 at 23:06PEP 660 – Editable installs for pyproject.toml based builds defines how to build projects that only use pyproject.toml. Build tools must implement PEP 660 for editable installs to work. You need a front-end (such as pip ≥ 21.3), backend. The statuses of some popular backends are:
QUESTION
version pip 21.2.4 python 3.6
The command:
...ANSWER
Answered 2021-Nov-19 at 13:30It looks like setuptools>=58 breaks support for use_2to3:
So you should update setuptools to setuptools<58 or avoid using packages with use_2to3 in the setup parameters.
I was having the same problem, pip==19.3.1
QUESTION
I get this Error when I try to install Pyodbc , I have already install visual studio and I have Microsoft Visual C++ 12 , 15-19 in my machine but still its giving this error.
...ANSWER
Answered 2021-Nov-12 at 13:38The current release of pyodbc (4.0.32) does not have pre-built wheel files for Python 3.10. The easiest way to get it installed at the moment is to download the appropriate wheel from
https://www.lfd.uci.edu/~gohlke/pythonlibs/#pyodbc
and then install it. For example, if you are running 64-bit Python then you would download the 64-bit wheel and use
QUESTION
I am making simple image of my python Django app in Docker. But at the end of the building container it throws next warning (I am building it on Ubuntu 20.04):
...ANSWER
Answered 2021-Aug-29 at 08:12The way your container is built doesn't add a user, so everything is done as root.
You could create a user and install to that users's home directory by doing something like this;
QUESTION
I`m using python poetry(https://python-poetry.org/) for dependency management in my project.
Though when I`m running poetry install, its giving me below error.
ANSWER
Answered 2022-Jan-03 at 13:24I solved it by doing the following steps:-
I updated the pyproject.toml(This file contains all the library/dependency/dev dependency)with the numpy version that I installed using
pip install numpycommand.Run
poetry lockto update poetry.lock file(contains details information about the library)Run
poetry installagain, & it should work fine.
If you are having any problems, you can comment. I`ll try to answer it.
QUESTION
I have a dockerfile that currently only installs pip-tools
...ANSWER
Answered 2022-Feb-05 at 16:30It is a bug, you can downgrade using:
pip install "pip<22"
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Install pip
You can use pip like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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