Pycharm doesn't create pip when I create a virtualenv - python

I tried created a project with virtualenv setting in pycharm. I see pip is missing in the virtual env that was created by pycharm. Could someone help me with fix it.
My python version is python3.6.5 and pycharm 2018.1
When I created a virtualenv from terminal it does create a pip ad works fine. I'm assuming thats something to do with pycharm setting that I'm missing

To install pip, download this script and run it with python.
https://bootstrap.pypa.io/get-pip.py
If pip still doesn't show up, it is likely an environment variable issue.

Related

Python Nmap module not found despite already being installed

I am trying to write a port scanning program as part of my course assignment. However, even after downloading Nmap, an error appeared. It says 'nmap' is not accessed by pylance. I cannot access it interactive mode either. I am still very new to programming so any form of help will be much appreciated
As you can see here Nmap is already downloaded.
But...
And...
I tried deleting and re-installing Nmap, that did not work. I searched YouTube for solutions, but a lot of the files and programs they had I did not. I have already downloaded nmap from the website too.
Maybe that happened because you have many interpreter and you installing in another interpreter to fix that you need to change the interpreter you can see the documentation in
https://code.visualstudio.com/docs/python/environments
or you can try using python venv by write this command in your terminal
python -m venv venv
after that activate the venv and activate the venv
.\venv\Scripts\activate
after you activate the venv you just need to install the nmap
pip install python-nmap
I hope this answer can solve your problem
You might have multiple version of python installed. When you run py is opens up 3.10.7 for you. You need to make sure you installed python-nmap for that version.
Apart from using a virtual environment, a quick fix would be to try installing nmap using pip3
pip3 install python-nmap
This will install nmap for your python3 installation. However if you have multiple python3 installations, I would suggest using a virtual environment of the particular python version you want.

pycharm don't see things installed with pip

From the start of using pycharm i am facing problems with working with libraries
I tried reinstalling python, pip, pycharm; adding and readding to path. I also tried using pipenv instead of virtenv.. and it worked once, but.. now again-
i use $pip install numpy |as example| in cmd window it says to be successfully installed. Go to pycharm, type 'import numpy'.. and nothing happens. I know i can download manually: go to settings and so on.. but it would be much beter if pip installed with cmd would be instantly displayed in Pycharm. Anybody, please, help.
Check if you have activated the virtual environment in which you have installed the packages. For instance you may have installed the package on Global python version and running your program on a virtual environment which will not work. So maybe try activating your virtual environment before installing the Packages.
Step 1:-
activate {name_of_pipenv}
pip install numpy

Why does ubuntu end up with different versions of python and pip and django gets installed globally instead of in the virtualenv?

I'm trying to learn Django and I installed ubuntu bash on Windows to use it there. As ubuntu comes with Python preinstalled but not pip, I installed pip and updated it. However, when I use pip3 -V it shows the past version of pip. There are two pip installs and I can't figure out how to upgrade the one that Python uses. I also installed Django when I was already inside the virtualenv but it was installed globally, so I guess this is because of the same problem.
Does anyone know how can I have just one python and one pip installed to avoid those issues? I reinstalled ubuntu because I got really annoyed...
Addiing venv to path is not the correct way to work in a venv you have to source bin/activate and use pip not pip3 since there the correct pip is loaded automatically. Ides source venv automatically when opened in the project directory. This allows to have a clean environment for each project
I already solved it, adding to PATH the path of the other pip, thanks to the guys who answered.

How can I activate a virtualenv virtual environment in the anaconda prompt?

I am fairly new to using virtual environments for python projects but I have spent many hours trying to resolve this issue I've been having through various posts on this site and on others and have come up short. I have even resorted to uninstalling all python distributions and reinstalling with no luck.
I have the anaconda distribution of python installed on Windows 10. I have the problem that after I create a virtual environment, called venv, in a project folder I am unable to then activate this virtual environment using the anaconda prompt to install packages through pip. What I have done so far is as follows:
(base) C:\Users\[User]\Documents\GitHub\[project_folder]> virtualenv venv
This then successfully creates a virtual environment folder in my project folder called venv. Working in this directory I navigate to:
(base) venv> cd Scripts
(base) venv\Scripts> activate
There are a number of activate files to choose from and neither turns the environment from base to env as expected.
The reason I am using anaconda prompt as opposed to the standard command prompt or Windows PowerShell is because when I'm using the pip install <package> anywhere but in the anaconda prompt I get an error message that reads:
WARNING: pip is configured with locations that require TLS/SSL, however the ssl module in Python is not available.
I'm not sure what this means and have tried to do some googling to solve this issue but to no avail. Note I do not have this issue when working on python projects on my MacBook and I can easily enter virtual environments and install the packages there with no issues. I'm relatively new to Windows so perhaps I'm missing something here...?
An interesting observation is that I can enter any virtual environment I've created through Windows PowerShell but I encounter the pip problem described above when trying to install packages into this environment.
I'm desperate for some help resolving this issue as it's greatly hindering the work on all my projects, and unfortunately I cannot just use my MacBook to code either.
use those command for python virtualenv
For activate
WINDOWS: activate nameofvenv
LINUX, macOS: source activate nameofvenv
For deactivate
WINDOWS: deactivate
macOS, LINUX: source deactivate

Working with django-pagedown

I am following the instructions on the official Django-pagedown repo
pip install django-pagedown - installed without errors
Add pagedown to your INSTALLED_APPS - error thrown is "ModuleNotFoundError: No module named 'pagedown'
3.Collectstatic run smoothly.
When I check the modules currently in my virtual env using help('modules'), pagedown was not present, but in my global installation of python, it was present, so my question is, why can't my project work/use the present installed django-pagedown installation? what am I missing here?
python - 3.6.4
django version - (2, 0, 4, 'final', 0)
pip version - 10.0.1
os - windows
The package is actually installed in your computer, as you can see it presents in the global installation. Just because you didn't activate the virtual environment that you use.
Go to your project, activate the virtual environment (scripts\activate).
Make sure that you see the name of your virtualenv shown before the path like that (env_name)C:\Users\....
Then run pip install django-pagedown.
I figured out the problem and it was pip, somehow while running the command pip install django-pagedown in my IDE, (and running in my virtual env), it was installing pagedown globally and missing in my virtual env, so, I just changed IDEs and that's it. Thanks all for helping me out.
If the package is installed globally, and the virtualenv is setup such that it doesnt look into your global packages, then this issue can occur.
You need to either install the package using the pip command after activating the virtualenv or maybe run the project without the virtualenv ( in this case you will also need to have other dependencies to be installed globally)

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