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  • Difference between pip freeze and conda list - Stack Overflow
    If the goal only is to list all the installed packages, pip list or conda list are the way to go pip freeze, like conda list --export, is more for generating requirements files for your environment For example, if you have created a package in your customized environment with certain dependencies, you can do conda list --export > requirements
  • python - How to freeze conda on a fixed version - Stack Overflow
    How Conda Solves Conda always first attempts to solve the install directive without changing existing packages (i e , it runs first with a --freeze-installed flag) and will only proceed to a full solve (what you are seeing) if it can't find any version of your requested package that already has all its dependencies satisfied in the environment
  • How do I keep track of pip-installed packages in an Anaconda (Conda . . .
    conda will only keep track of the packages it installed And pip will give you the packages that were either installed using the pip installer itself or they used setuptools in their setup py so conda build generated the egg information
  • How to freeze packages installed only in the virtual environment?
    I'm on Windows 10, python 3 6, with my virtual environment called env activated using command prompt I found that pip freeze -l does not work (error), python -m pip freeze -l does not work (gets global packages) but changing into my virtual environment Scripts directory and running pip freeze or pip freeze -l works
  • python - Restore conda pip freeze consistency - Stack Overflow
    The main idea is to install pip in your conda env before doing any pip install and then deactivating conda before using it In details: Step 1: Deactivate conda conda deactivate repeatedly until no longer in a conda env (nothing in parentheses to the left of your prompt) or use source deactivate (deprecated but still works) Then Step 2:
  • Creating requirements. txt in pip compatible format in a conda virtual . . .
    This means that non-conda users can simply execute pip install -r requirements txt inside a virtual environment which they may create using virtualenv in the absence of conda However, if you generate a requiremets txt file in the above style, you will end up with a requirements txt file that has symbolic links
  • From conda create requirements. txt for pip3 - Stack Overflow
    Go to your project environment conda activate <env_name> conda list gives you list of packages used for the environment conda list -e > requirements txt save all the info about packages to your folder conda env export > <env_name> yml pip freeze
  • Pip freeze gt; requirements doesnt work well with anaconda
    conda list --export > requirements txt to get all the dependencies and when creating a new conda environment with the requirement dependencies use conda create --name <envname> --file requirements txt to know more about the difference btw conda and pip refer here you might also find this table helpful, it compares the different commands of
  • Automatically create file requirements. txt - Stack Overflow
    Note that in the first line, no version of aiohttp is listed (perhaps installed by conda mamba) If you need the requirements txt to be in the form of the second line which can be used by pip as input requirements txt, use: $ pip list --format=freeze > requirements txt aiohttp==3 9 3 jinja2-cli==0 8 2
  • Pip freeze generating @ file: on conda environment
    First time this is happening to me, and I have no idea why pip is outputting the requirements in such strange form I'm using a conda environment Output example from pip freeze: aioredis @ file:





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