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Installing a new package using pip in conda environment - Printable Version

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Installing a new package using pip in conda environment - firebolt7 - Nov-18-2019

Does a package also gets installed in conda environment if I use pip to install packages not included in Anaconda?

I am currently working on a Django project and want to install an additional Django (app) package called "tinymce". I've installed Anaconda just recently and I'm not used to commands related to conda. I often used to pip install packages from the command prompt. But now I'm really confused if I really should just use the same pip install or use other conda commands (if there are any) to install that package. Also, does that affect anything, if I am to frequently use that packages?

FYI: I'm on Windows & using Python 3.7 using the recent Anaconda release.


RE: Installing a new package using pip in conda environment - snippsat - Nov-18-2019

No they are separate python.org(Python version) or Anaconda(standalone disruption)
Do pip -V from command line cmd or cmder(as i use).
C:\
λ pip -V
pip 19.3.1 from c:\python37\lib\site-packages\pip (python 3.7)
Python 3.7 my main version in Windows Path.
So if i now do eg pip install requests will install to version shown over.

If i want to the same in Anaconda,i could do it from Scripts folder(where pip and conda placed).
G:\Anaconda3\Scripts
λ pip -V
pip 19.3.1 from g:\anaconda3\lib\site-packages\pip (python 3.7)

G:\Anaconda3\Scripts
λ conda -V
conda 4.7.12
So if do this now pip install requests or conda install requests will install to Anaconda.

Or if i activate base,it will always install to Anaconda.
This is what Anaconda prompt(cmd shell) dos,it's comes with Anaconda.
G:\Anaconda3\Scripts
λ activate base

(base) G:\Anaconda3\Scripts
λ c:

(base) C:\Users\Tom
λ cd ..

(base) C:\Users
λ cd ..

# Now in C:\,but now will install to Anaconda
(base) C:\
λ pip -V
pip 19.3.1 from g:\anaconda3\lib\site-packages\pip (python 3.7)
Some link to look at:
Python 3.6/3.7 and pip installation under Windows
Anaconda and other ways to run Python.