pip

Installing dependencies for a pip-only package through conda

由 别等时光非礼了梦想. 提交于 2021-02-08 13:09:29
问题 Sometimes I need to install a pip-only package into a conda environment. If I install the package using pip install , then all the dependencies for that package are installed using pip, even if they are available to conda . I would like to install as many packages as possible through conda, so currently I use a hack to get the list of package dependencies through pip, search for all of them on conda, conda install the ones that are found, and then go through with the pip install . Am I right

Installing dependencies for a pip-only package through conda

由 ﹥＞﹥吖頭↗ 提交于 2021-02-08 13:08:14
问题 Sometimes I need to install a pip-only package into a conda environment. If I install the package using pip install , then all the dependencies for that package are installed using pip, even if they are available to conda . I would like to install as many packages as possible through conda, so currently I use a hack to get the list of package dependencies through pip, search for all of them on conda, conda install the ones that are found, and then go through with the pip install . Am I right

Installing dependencies for a pip-only package through conda

由 雨燕双飞 提交于 2021-02-08 13:07:56
问题 Sometimes I need to install a pip-only package into a conda environment. If I install the package using pip install , then all the dependencies for that package are installed using pip, even if they are available to conda . I would like to install as many packages as possible through conda, so currently I use a hack to get the list of package dependencies through pip, search for all of them on conda, conda install the ones that are found, and then go through with the pip install . Am I right

Accessing static files included in a Python module

由 此生再无相见时 提交于 2021-02-08 11:51:22
问题 I'm installing my module with pip. The following is the setup.py: from setuptools import setup, find_packages with open('requirements.txt') as f: required = f.read().splitlines() print(required) setup( name='glm_plotter', packages=find_packages(), include_package_data=True, install_requires=required ) and MANIFEST.in: recursive-include glm_plotter/templates * recursive-include glm_plotter/static * When installing, the directories and files seem to get installed: ... creating build/lib/glm

Python Twisted pip package not compatible with Python3

由 风流意气都作罢 提交于 2021-02-08 11:42:48
问题 I am trying to use create an authoritative server using twisted names. I was using python 3.6 and installed using pip3 install twisted , but it looks like pip is not updated with python3 versions. Specifically, pip has twisted 20.3, but 20.3 is written for Python2. The file authority.py uses python2 syntax in 20.3 version - Line 308. Any idea about when the pip package is going to be updated? Is it recommended to use python2 (and version 20.3) or install from source by cloning the repository?

Using PIP to install openpyxl for a user

由 ≡放荡痞女 提交于 2021-02-08 11:07:43
问题 I've written a script that will enable a user to have their weekly timesheet's filled out automatically and save it as a new excel spreadsheet. I thought I would be able to just have the Openpyxl folder in the same directory as the script for it to import but it does not seem to work. I have put together a bit of code based off a few other threads below to check for openpyxl before it imports. So I can hopefully have the ability to setup openpyxl. I intend to have this bit of code run during

Problem in building a docker image with pyspark lib

由 笑着哭i 提交于 2021-02-08 11:00:57
问题 I'm trying to build a docker image using s2i and Jenkins. I have the following dependencies in the requirement.txt file scikit-learn==0.21.2 scipy==0.18.1 pandas==0.24.2 seldon-core==0.3.0 pypandoc pyspark==2.4.1 But my build process fails when it tries to install pyspark with the following error message Downloading https://repo.company.com/repository/pypi-all/packages/f2/64/a1df4440483df47381bbbf6a03119ef66515cf2e1a766d9369811575454b/pyspark-2.4.1.tar.gz (215.7MB) Complete output from

PyTorch----安装

由 余生长醉 提交于 2021-02-08 08:50:13
由于PyTorch官网 http://pytorch.org/ 推荐使用Anaconda作为软件包管理器（package manager），所以我们需要首先准备好Anaconda环境。 1.准备好Anaconda环境 具体参见： http://blog.csdn.net/zhdgk19871218/article/details/46502637 2.进入PyTorch官网，选择自己相应的版本 查看python版本 1 fenglei@gpu01:~$ python - V 2 Python 3.5.2 :: Anaconda 4.2.0 (64-bit) 查看cuda版本 1 fenglei@gpu01:~$ cat /usr/local/cuda/ version.txt 2 CUDA Version 8.0.61 注意： 确保拥有最新的pip 和 numpy packages. 1 fenglei@gpu01:~$ pip install -- upgrade pip 2 Collecting pip 3 Downloading pip-9.0.1-py2.py3-none-any.whl (1 .3MB) 4 100% |████████████████████████████████| 1.3MB 13kB/ s 5 Installing collected

Installing dependencies from (Conda) environment.yml without Conda?

由 扶醉桌前 提交于 2021-02-08 08:26:25
问题 I currently use Conda to capture my dependencies for a python project in a environment.yml . When I build a docker service from the project I need to reinstall these dependencies. I would like to get around, having to add (mini-)conda to my docker image. Is it possible to parse environment.yml with pip/pipenv or transform this into a corresponding requirements.txt ? (I don't want to leave conda just yet, as this is what MLflow captures, when I log models) 回答1: Nope. conda automatically

Installing dependencies from (Conda) environment.yml without Conda?

由 前提是你 提交于 2021-02-08 08:25:22
问题 I currently use Conda to capture my dependencies for a python project in a environment.yml . When I build a docker service from the project I need to reinstall these dependencies. I would like to get around, having to add (mini-)conda to my docker image. Is it possible to parse environment.yml with pip/pipenv or transform this into a corresponding requirements.txt ? (I don't want to leave conda just yet, as this is what MLflow captures, when I log models) 回答1: Nope. conda automatically
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