conda_install.txt

conda info 

conda update -n base -c defaults conda

conda create --name data_ingestion python=3.6
  (OR)
conda create --name data_ingestion

conda activate data_ingestion
conda list 
conda info --envs 
conda install teradatasql

conda install -c pending-opensource conda-pack 

conda pack -n <conda_env_name> -o <conda_env_name>.tar.gz





#Create VirtualENV 
virtualenv -p python3 data_gcp
 
anjaiahsprcloud2@cloudshell:~ (welcome-bigquery-load)$ virtualenv -p python3 data_gcp
created virtual environment CPython3.7.3.final.0-64 in 162ms
  creator CPython3Posix(dest=/home/anjaiahsprcloud2/data_gcp, clear=False, no_vcs_ignore=False, global=False)
  seeder FromAppData(download=False, pip=bundle, setuptools=bundle, wheel=bundle, via=copy, app_data_dir=/home/anjaiahsprcloud2/.local/share/virtualenv)
    added seed packages: pip==21.1.2, setuptools==57.0.0, wheel==0.36.2
  activators BashActivator,CShellActivator,FishActivator,PowerShellActivator,PythonActivator,XonshActivator
 virtualenv -p python3 data_gcp

#Activate 
source data_gcp/bin/activate

# Install 
pip install --upgrade google-cloud-pubsub



pip install --proxy http://username:[email protected]:8080 google-cloud-bigquery



Conda Pack
Conda-pack is a command line tool that archives a conda environment, which includes all the binaries of the packages installed in the environment. This is useful when you want to reproduce an environment with limited or no internet access. All the previous methods download packages from their respective repositories to create an environment. Keep in mind that conda-pack is both platform and operating system specific and that the target computer must have the same platform and OS as the source computer.

To install conda-pack, make sure you are in the root or base environment so that it is available in sub-environments. Conda-pack is available at conda-forge or PyPI.

conda-forge:

<span>conda install </span><span>-</span><span>c conda</span><span>-</span><span>forge conda</span><span>-</span><span>pack</span>
PyPI:

<span>pip install conda</span><span>-</span><span>pack</span>
To package an environment:

 
# Pack environment my_env into my_env.tar.gz
$ conda pack -n my_env

# Pack environment my_env into out_name.tar.gz
$ conda pack -n my_env -o out_name.tar.gz

# Pack environment located at an explicit path into my_env.tar.gz
$ conda pack -p /explicit/path/to/my_env
 
To install the environment:

 
 
# Unpack environment into directory `my_env`
$ mkdir -p my_env
$ tar -xzf my_env.tar.gz -C my_env

# Use Python without activating or fixing the prefixes. Most Python
# libraries will work fine, but things that require prefix cleanups
# will fail.
$ ./my_env/bin/python

# Activate the environment. This adds `my_env/bin` to your path
$ source my_env/bin/activate

# Run Python from in the environment
(my_env) $ python

# Cleanup prefixes from in the active environment.
# Note that this command can also be run without activating the environment
# as long as some version of Python is already installed on the machine.
(my_env) $ conda-unpack




https://www.alexvolok.com/2021/data-engineering-development-environment-using-wsl-and-miniconda/