python packages duplicates installed with pip and conda

Hopefully somebody more knowledgeable can expand, but it looks like Conda is a non-PIP compatible deployment tool for both Python and non-python tools/packages alike. Conda handles its own virtual installation of Python and packages as well as non-python dependencies. , PIP on the other hand is a Python-specific deployment utility; it is not aware of Conda, and Conda is not aware of PIP. , I really want to know the difference between pip and conda and what happens if I use pip to install packages instead of conda? , Fortunately, because the two systems are separated you should be able to revive your PIP environment should you decide that Conda is not worth switching to. Otherwise, you could try the matlib installation on Conda to mimic what you had setup on PIP:

This command works perfectly. I have 8GB ram in my laptop, So I set size=8192. It is all about ram and also you need set file name. I run npm run build command that's why I used build.js .

node--expose - gc--max - old - space - size = 8192 node_modules / react - scripts / scripts / build.js

This will do the trick without changing the html

$(document).ready(function() {
   $("#btnUpload").click(function() {
      var $userId = $(this).parent().prev("td").children("input:hidden").val();
      $("#uploadUserId").val($userId);
   });
});

Another solution by adding ID to the input element as shown below,

  <input id="userVal" type="hidden" value="<c:out value="${user.id}" />"name="userId" />

then you can get the value from the following jquery

   $("#userVal").val();

NOTE: A variable can be made to act like an alias that also persists across subshells and cannot be changed. For example,

#! /bin/sh

my_cmd = 'ls -al'
export my_cmd
readonly my_cmd

will act like

#! /bin/sh

alias my_cmd = 'ls -al'

You'll also need to define default class, for example screen size - greater than 1200px

 /*Extra small devices Phones (<768px)*/

 @media only screen and(min - width: 768 px) {
    .myClass {
       height: 200 px;
    }
 }

 /*Small devices Tablets (â‰¥768px)*/
 @media only screen and(max - width: 768 px) {
    .myClass {
       height: 400 px;
    }
 }
 /*Medium devices Desktops (â‰¥992px)*/
 @media only screen and(max - width: 992 px) {
    .myClass {
       height: 600 px;
    }
 }
 /*Large devices Desktops (â‰¥1200px)*/
 @media only screen and(max - width: 1200 px) {
    .myClass {
       height: 800 px;
    }
 }

You can definitely chain multiple chomp statements (the non-bang version), still having a one-line solution as you wanted:

 "{{foobar}}".chomp("{{").chomp("}}")

You can use sub

"{{foobar}}".sub(/{{(.+)}}/, '\1')
# => "foobar"

"alfa {{foobar}} beta".sub(/{{(.+)}}/, '\1')
# => "alfa foobar beta"

# more restrictive
   "{{foobar}}".sub(/^{{(.+)}}$/, '\1')
# => "foobar"

.select()

$("#size").kendoDropDownList({
   optionLabel: " -- Select -- "
}).data("kendoDropDownList").select(0); //select(index) , index starts from 0

Suggestion : 2

certifi - 2017.7.27.1 - <pip>

Anywho... when I run pip install requests, I get the following:

(cool_env) 21:01 ~$ pip install requests
Collecting requests
<snip>
   Requirement already satisfied:
   certifi>=2017.4.17 in ./miniconda3/envs/cool_env/lib/python3.5/site-packages (from requests)
   Installing collected packages: urllib3, chardet, idna, requests
   Successfully installed chardet-3.0.4 idna-2.6 requests-2.18.4 urllib3-1.22
   (cool_env) 21:02 ~$

And when I run conda list...

(cool_env) 21: 12~$. / miniconda3 / bin / conda list
# packages in environment at / home / memilanuk / miniconda3 / envs / cool_env:
   #
   ...
   certifi 2017.7 .27 .1 py35h19f42a1_0
   ...
   (cool_env) 21: 12~$

Suggestion : 3

conda create--name test
conda env list

base * D: \Users\ Poatek\ Anaconda3
test D: \Users\ Poatek\ Anaconda3\ envs\ test

conda activate tEst
conda env list

base D: \Users\ Poatek\ Anaconda3
test D: \Users\ Poatek\ Anaconda3\ envs\ test

conda install pip
conda env list

base D: \Users\ Poatek\ Anaconda3
tEst * D: \Users\ Poatek\ Anaconda3\ envs\ tEst
test D: \Users\ Poatek\ Anaconda3\ envs\ test

conda activate base
conda env remove--name tEst
conda env list

base * D: \Users\ Poatek\ Anaconda3

active environment: base
active env location: D: \Users\ Poatek\ Anaconda3
shell level: 4
user config file: C: \Users\ Poatek\.condarc
populated config files:
   conda version: 4.7 .11
conda - build version: 3.17 .8
python version: 3.7 .3.final .0
virtual packages:
   base environment: D: \Users\ Poatek\ Anaconda3(writable)
channel URLs: https: //repo.anaconda.com/pkgs/main/win-64
   https: //repo.anaconda.com/pkgs/main/noarch
   https: //repo.anaconda.com/pkgs/r/win-64
   https: //repo.anaconda.com/pkgs/r/noarch
   https: //repo.anaconda.com/pkgs/msys2/win-64
   https: //repo.anaconda.com/pkgs/msys2/noarch
   package cache: D: \Users\ Poatek\ Anaconda3\ pkgs
C: \Users\ Poatek\.conda\ pkgs
C: \Users\ Poatek\ AppData\ Local\ conda\ conda\ pkgs
envs directories: D: \Users\ Poatek\ Anaconda3\ envs
C: \Users\ Poatek\.conda\ envs
C: \Users\ Poatek\ AppData\ Local\ conda\ conda\ envs
platform: win - 64
user - agent: conda / 4.7 .11 requests / 2.22 .0 CPython / 3.7 .3 Windows / 10 Windows / 10.0 .17134
administrator: False
netrc file: None
offline mode: False

Nothing happens when I run this command

Suggestion : 4

This creates the myenv environment in /envs/. No packages will be installed in this environment.,To create an environment with a specific version of a package: conda create -n myenv scipy=0.17.3 OR: conda create -n myenv python conda install -n myenv scipy=0.17.3 ,To create an environment with a specific package: conda create -n myenv scipy OR: conda create -n myenv python conda install -n myenv scipy ,To see if a specific package is installed in an environment, in your terminal window or an Anaconda Prompt, run: conda list -n myenv scipy

conda create--name myenv

proceed([y] / n) ?

conda create - n myenv python = 3.9

conda create - n myenv scipy

conda create - n myenv python
conda install - n myenv scipy

conda create - n myenv scipy = 0.17 .3

Suggestion : 5

If you use pip or Conda to install Python libraries on the terminal without specifying the correct Conda environment, you get a ModuleNotFoundError when importing that Python package to your running notebook. This is because you're not installing the Python packages in the correct Conda environment. To install the Python packages in the correct Conda environment, first activate the environment before running pip install or conda install from the terminal.,To see the pre-built Conda environment, run either of the following commands in the notebook instance terminal:,I want to install Python packages to a specific Conda environment, check installed package versions, or create a persistent Conda environment.,To check the version of a package that's installed in a Conda environment, run this command in the notebook instance terminal:

sh - 4.2 $ source activate python3(python3) sh - 4.2 $ pip install theano(python3) sh - 4.2 $ source deactivate(JupyterSystemEnv) sh - 4.2 $

import sys
   !conda install - y--prefix {
      sys.prefix
   }
theano

import sys
   !{
      sys.executable
   } - m pip install theano

$ conda env list

$ conda info--envs

# conda environments:
   #
base / home / ec2 - user / anaconda3
JupyterSystemEnv * /home/ec2 - user / anaconda3 / envs / JupyterSystemEnv
R / home / ec2 - user / anaconda3 / envs / R
amazonei_mxnet_p27 / home / ec2 - user / anaconda3 / envs / amazonei_mxnet_p27
amazonei_mxnet_p36 / home / ec2 - user / anaconda3 / envs / amazonei_mxnet_p36
amazonei_tensorflow_p27 / home / ec2 - user / anaconda3 / envs / amazonei_tensorflow_p27
amazonei_tensorflow_p36 / home / ec2 - user / anaconda3 / envs / amazonei_tensorflow_p36
chainer_p27 / home / ec2 - user / anaconda3 / envs / chainer_p27
chainer_p36 / home / ec2 - user / anaconda3 / envs / chainer_p36
mxnet_p27 / home / ec2 - user / anaconda3 / envs / mxnet_p27
mxnet_p36 / home / ec2 - user / anaconda3 / envs / mxnet_p36
python2 / home / ec2 - user / anaconda3 / envs / python2
python3 / home / ec2 - user / anaconda3 / envs / python3
pytorch_p27 / home / ec2 - user / anaconda3 / envs / pytorch_p27
pytorch_p36 / home / ec2 - user / anaconda3 / envs / pytorch_p36
tensorflow_p27 / home / ec2 - user / anaconda3 / envs / tensorflow_p27
tensorflow_p36 / home / ec2 - user / anaconda3 / envs / tensorflow_p36

Suggestion : 6

Note: The operation of remove duplicates refers to remove those deps in pip, which are already in conda deps.,Export with all conda deps and all pip deps of py37, and DO NOT remove duplicates,Download the file for your platform. If you're not sure which to choose, learn more about installing packages.,This package was created with Cookiecutter and the audreyr/cookiecutter-pypackage project template.

To use Conda Env Export in a project:

import conda_env_export

To use Conda Env Export in a terminal:

$ conda - env -
   export --help
Usage: conda - env -
   export [OPTIONS]

Options:
   -n, --name TEXT Name of environment[
      default: `{activated}`]
   --conda - all Output all conda deps[
      default: False]
   --pip - all Output all pip deps[
      default: False]
   --reserve - duplicates Reserve duplicates[
      default: False]
   --include TEXT Force to include deps(ignore
      case)
   --exclude TEXT Force to exclude deps(ignore
      case)
   --extra - pip - requirements Output an extra `requirements.txt` [
      default: False
   ]
   --no - prefix Remove `prefix` in target yml file[
      default: False]
   --help Show this message and exit.

Export current activated env, just run:

$ conda - env -
   export

Export current activated env and output an EXTRA pip requirements file, just run:

$ conda - env -
   export --extra - pip - requirements

Export a named env and ensure that output MUST include pip and PyYAML, run:

$ conda - env -
   export -n py37--include pip--include pyyaml