conda

conda equivalent of pip install --user

由 筅森魡賤 提交于 2021-01-20 23:28:02
问题 To install to my own directory I can use pip install --user package Alternatively I can use conda install package How do I ask conda to install to my home directory since conda does not take a --user flag? Installing pip packages to $HOME folder 回答1: According to the documentation: --use-local 回答2: I don't think it's possible. Use virtual environments ( conda create ). 回答3: See -p option here: -p PATH, --prefix PATH Full path to environment prefix. So to install to, say, local under your home

conda equivalent of pip install --user

由 ﹥＞﹥吖頭↗ 提交于 2021-01-20 23:27:33
问题 To install to my own directory I can use pip install --user package Alternatively I can use conda install package How do I ask conda to install to my home directory since conda does not take a --user flag? Installing pip packages to $HOME folder 回答1: According to the documentation: --use-local 回答2: I don't think it's possible. Use virtual environments ( conda create ). 回答3: See -p option here: -p PATH, --prefix PATH Full path to environment prefix. So to install to, say, local under your home

conda equivalent of pip install --user

由 跟風遠走 提交于 2021-01-20 23:27:01
问题 To install to my own directory I can use pip install --user package Alternatively I can use conda install package How do I ask conda to install to my home directory since conda does not take a --user flag? Installing pip packages to $HOME folder 回答1: According to the documentation: --use-local 回答2: I don't think it's possible. Use virtual environments ( conda create ). 回答3: See -p option here: -p PATH, --prefix PATH Full path to environment prefix. So to install to, say, local under your home

How to connect R conda env to jupyter notebook

由 谁说我不能喝 提交于 2021-01-20 08:17:05
问题 I am creating conda environment using following code conda create --prefix r_venv_conda r=3.3 r-essentials r-base --y Then I am activating this env by following conda activate r_venv_conda/ Then I tried to run Jupyter Notebook (by running jupyter notebook to run jupyter hoping that will connect R env. However, I am getting following error Traceback (most recent call last): File "/home/Documents/project/r_venv_conda/bin/jupyter-notebook", line 7, in <module> from notebook.notebookapp import

How to connect R conda env to jupyter notebook

由 我们两清 提交于 2021-01-20 08:14:36
问题 I am creating conda environment using following code conda create --prefix r_venv_conda r=3.3 r-essentials r-base --y Then I am activating this env by following conda activate r_venv_conda/ Then I tried to run Jupyter Notebook (by running jupyter notebook to run jupyter hoping that will connect R env. However, I am getting following error Traceback (most recent call last): File "/home/Documents/project/r_venv_conda/bin/jupyter-notebook", line 7, in <module> from notebook.notebookapp import

Conda: The following packages are missing from the target environment

由 折月煮酒 提交于 2021-01-19 23:28:15
问题 I'm trying to uninstall awscli: conda list | grep aws awscli 1.18.78 pypi_0 pypi (base) % conda remove awscli Collecting package metadata (repodata.json): done Solving environment: failed PackagesNotFoundError: The following packages are missing from the target environment: - awscli But for some reason conda can't find package. What is proper way to uninstall awscli? 回答1: Use Pip The channel value of pypi indicates that this package was installed from PyPI using pip , and therefore - as

Conda: The following packages are missing from the target environment

由 大兔子大兔子 提交于 2021-01-19 23:25:51
问题 I'm trying to uninstall awscli: conda list | grep aws awscli 1.18.78 pypi_0 pypi (base) % conda remove awscli Collecting package metadata (repodata.json): done Solving environment: failed PackagesNotFoundError: The following packages are missing from the target environment: - awscli But for some reason conda can't find package. What is proper way to uninstall awscli? 回答1: Use Pip The channel value of pypi indicates that this package was installed from PyPI using pip , and therefore - as

Conda: The following packages are missing from the target environment

由 二次信任 提交于 2021-01-19 23:18:08
问题 I'm trying to uninstall awscli: conda list | grep aws awscli 1.18.78 pypi_0 pypi (base) % conda remove awscli Collecting package metadata (repodata.json): done Solving environment: failed PackagesNotFoundError: The following packages are missing from the target environment: - awscli But for some reason conda can't find package. What is proper way to uninstall awscli? 回答1: Use Pip The channel value of pypi indicates that this package was installed from PyPI using pip , and therefore - as

击败酷睿i9之后，有人又拿苹果M1去挑战英伟达V100了

由 你。 提交于 2021-01-19 12:59:37
有工程师用 M1 版 Mac Mini 训练小架构深度学习模型，结果好像还可以。 选自vanpelt，作者：Chris Van Pelt，机器之心编译，机器之心编辑部。 众所周知，大多数 Mac 产品都是生产力工具，你甚至可以用它们训练神经网络。去年 11 月推出的，搭载 M1 芯片的 Mac 更是将这种生产力水平提到了一个新的高度。 那么，如果拎出来和专业的比一下，M1 版的 Mac 在训练模型方面是个什么水平？为了解答这个疑问，最近有人将 M1 版的 Mac Mini 与 Nvidia V100 放到一起比了一下。 M1 版 Mac Mini 的售价最低是 5000 元左右。此前，国外知名硬件评测网站 anandtech 发布了对这款产品的 详细测试 ，结果显示，在 CPU 性能测试中，M1 版 Mac Mini 的单线程和多线程都很优秀。在 GPU 性能测试中，它在多个基准测试中超越了之前的 Mac 系列产品，在某些情况下还能超越独显产品。 Nvidia V100 则是专业的 AI 训练卡，单精度浮点性能达到 15 TFLOPS，双精度浮点 7.5 TFLOPS，显存带宽 900GB/s，售价高达五位数。当然，你可以选择在 Colab 上租用。 评测者是「Weights and Biases」公司的联合创始人 Chris Van Pelt。Weights and Biases

JupyterLab安装与配置虚拟环境

由 走远了吗. 提交于 2021-01-14 07:57:04
JupyterLab安装： 　　推荐使用miniconda，相比于anaconda更加简洁，下载连接： https://mirrors.tuna.tsinghua.edu.cn/anaconda/miniconda/ 安装 pip install jupyterlab 配置启动目录 jupyter notebook --generate-config 会生产一个配置文件 默认路径C:\Users\用户名\.jupyter\jupyter_notebook_config.py 修改其中的几个配置项 并取消前面的注释 ipython In [1]: from notebook.auth import passwd In [2]: passwd() Enter password: Verify password: Out[2]: 'sha1:f704b702aea2:01e2bd991f9c7208ba177b46f4d10b6907810927' # 配置启动目录 c.NotebookApp.notebook_dir = 'E :/Projects ' # 配置chrom的本地启动功能，让lab像IDE一样在本地打开 c.NotebookApp.browser = 'C:/Program Files (x86)/Google/Chrome/Application/chrome.exe
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