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No module found error for a downloaded package (sksparse.cholmod) and how to download a package from the internet to conda

I need to use the sksparse.chomod package however my pycharm does not let me install it as it can't seem to find it.
I found the sksparse package on github and downloaded it but I do not know how to add a package downloaded from the internet into a conda environment. So, my first question would be can you download a package from github and add it to your conda environment, and how do you do this?
As I did not know how to do the above I instead saved the package within my project and thought I could simply import sksparse.cholmod. However, the line in my code that says import sksparse.cholmod as sks has no errors with it, so I assumed that meant this was ok, but when I try to run my file I get this error:
import sksparse.cholmod as sks
ModuleNotFoundError: No module named 'sksparse.cholmod'
If I have downloaded the package into my project why can't it be found, yet there are no errors when importing?
The cholmod file is a pyx file which I've been told should not be a problem.
Please could anyone help, I am reasonably new to python and I am looking for a straight forward solution that won't be time consuming.

It was an issue with windows, I was able to fix this using the instructions on this link
https://github.com/EmJay276/scikit-sparse
We must follow these steps precisely:
(This was tested with a Anaconda 3 installation and Python 3.7)
Install these requirements in order:
'''
conda install -c conda-forge numpy - tested with v1.19.1
conda install -c anaconda scipy - tested with v1.5.0
conda install -c conda-forge cython - tested with v0.29.21
conda install -c conda-forge suitesparse - tested with v5.4.0
'''
Download Microsoft Build Tools for C++ from https://visualstudio.microsoft.com/de/visual-cpp-build-tools/ (tested with 2019, should work with 2015 or newer)
Install Visual Studio Build Tools
Choose Workloads
Check "C++ Buildtools"
Keep standard settings
Run ''' pip install git+https://github.com/EmJay276/scikit-sparse '''
Test ''' from sksparse.cholmod import cholesky '''
Use all the versions stated for numpy etc, however with scipy I installed the latest version and it worked fine.

Error while running azuremlsdk::install_azureml() in R

I'm trying to load an existing azure workspace in RStudio Azure Compute Instance like it's shown in this link: https://azure.github.io/azureml-sdk-for-r/. But, after installing azuremlsdk package when I'm running this code azuremlsdk::install_azureml(). I'm getting this error :
Attempting uninstall: certifi  Found existing installation: certifi2016.9.26ERROR: Cannot uninstall 'certifi'. It is a distutilsinstalled project and thus we cannot accurately determine which files belong to it which would lead to only a partial uninstall.Error: Error installing package(s): 'azureml-sdk==1.10.0', 'numpy', 'pandas'
By referring to this link : https://learn.microsoft.com/en-us/azure/machine-learning/how-to-troubleshoot-environments; I tried to fix this error by running conda remove certifi through terminal of that Compute Instance & Jupyter Notebook of that Compute Instance. But, no luck.
Does anyone have any experience in resolving this issue. Please help.

Azure ML has issues with Python versions and its dependency packages, make sure you are using Python package of 3.5 to 3.8 while installing these.
While installing azureml it will search for all the dependency packages and will install all of them, in this process there will be the version issues, like pandas, numpy.. with different pip versions.
From your stack trace looks like the error is happening when we install the packages like pandas numpy etc along with azureml-train-automl-client package so try to install them before hand by checking its versions which are dependent with you python versions packages.
Check the Azure ML documentation for installation of Azure ML Additional packages.
If you investigate them azureml-train-automl requires somes data science packages including pandas, numpy, and scikit-learn.
Kindly follow below commands for conda environment:
pip install azureml-train-automl
pip install --upgrade azureml-train-automl
pip install show azureml-train-automl

It seems that the Python SDK installation conflicts with itself when using Python 3.6 (the default). I was able to install the SDK for Python 3.7:
azuremlsdk::install_azureml(conda_python_version = '3.7')

Unable to install anaconda on OS Catalina after changing username

I upgraded my OS to Catalina then anaconda didn't work, so I deleted it and wanted to install it again.
However, my macOS username was zoyie 1 which contains a space, leading to fail of installation.
Then I changed my username from zoyie 1 to ZongyuWu and installed again.
The 64-Bit Graphical Installer still didn't work and gives me no error information, so I tried the 64-Bit Command Line Installer and get
Collecting package metadata (current_repodata.json): failed
UnavailableInvalidChannel: The channel is not accessible or is invalid.
channel name: Downloads
channel url: file:///Users/zoyie 1/Downloads
error code: 404
You will need to adjust your conda configuration to proceed.
Use `conda config --show channels` to view your configuration's current state,
and use `conda config --show-sources` to view config file locations.
As of conda 4.3, a valid channel must contain a `noarch/repodata.json` and
associated `noarch/repodata.json.bz2` file, even if `noarch/repodata.json` is
empty. Use `conda index /Users/zoyie 1/Downloads`, or create `noarch/repodata.json`
and associated `noarch/repodata.json.bz2`.
Does anyone know how to install anaconda on my mac now?
I can't use conda since I haven't installed anaconda.
I can't find ~/.condarac since I haven't installed anaconda.
There is no use by deleting lines about conda in ~/.bash_profile.
Same problem when trying to install miniconda.

Facing issue while installing fancyimpute

For installing the fancyimpute, i am using the below commands:
conda install ecos
conda install CVXcanon
pip install fancyimpute
On firing the 1st command "conda install ecos", i am getting the below error. Please help me on this resolution.
Preparing transaction: done
Verifying transaction: done
Executing transaction: | DEBUG menuinst_win32:__init__(196): Menu: name: 'Anaconda${PY_VER} ${PLATFORM}', prefix: 'C:\Users\Deepak\Anaconda3', env_name: 'None', mode: 'user', used_mode: 'user'
DEBUG menuinst_win32:create(320): Shortcut cmd is C:\Users\Deepak\Anaconda3\pythonw.exe, args are ['C:\\Users\\Deepak\\Anaconda3\\cwp.py', 'C:\\Users\\Deepak\\Anaconda3', 'C:\\Users\\Deepak\\Anaconda3\\pythonw.exe', 'C:\\Users\\Deepak\\Anaconda3\\Scripts\\spyder-script.py']
/ DEBUG menuinst_win32:create(320): Shortcut cmd is C:\Users\Deepak\Anaconda3\python.exe, args are ['C:\\Users\\Deepak\\Anaconda3\\cwp.py', 'C:\\Users\\Deepak\\Anaconda3', 'C:\\Users\\Deepak\\Anaconda3\\python.exe', 'C:\\Users\\Deepak\\Anaconda3\\Scripts\\spyder-script.py', '--reset']
failed
ERROR conda.core.link:_execute(502): An error occurred while installing package 'conda-forge::automat-0.7.0-py_1'.
CondaError: Cannot link a source that does not exist. C:\Users\Deepak\Anaconda3\Scripts\conda.exe
Running `conda clean --packages` may resolve your problem.
Attempting to roll back.
Rolling back transaction: done
CondaError: Cannot link a source that does not exist. C:\Users\Deepak\Anaconda3\Scripts\conda.exe
Running `conda clean --packages` may resolve your problem.
Note: Tried the same command after using "conda clean --packages". But still the issue persists.
Regards,
Deepak

According to this GitHub issue about the same problem (transaction also fails on automat), there are a few things that seem to get it working:
Cleaning. You've already tried conda clean --packages, so maybe you can ignore this one, but the thread also suggests conda clean --all. Personally, I think that's a bit blunt. The users who it worked for may have only needed --packages.
Update Conda. Many seem to get around this by updating Conda, conda update -n base conda.
Update Anaconda. Some said it worked to run conda update anaconda.
Freeze installed packages. Some users noticed that it only happens when planned transactions include updating other packages. One can prevent other packages from updating by using conda install --freeze-installed ecos.
Issue with latest Automat. One user reports the issue is specific to the recent 0.7.0 version of Automat. They report having a successful transaction by explicitly requesting the previous Automat version, e.g., conda install ecos automat=0.6.*
Recommendation
I would try (2) first.
Something I find strange in all this is that everyone reporting this is on Windows, but Conda attempts to install the noarch version (as indicated by the py_1 in the tarball). Nothing particularly wrong with that, but on OSX, Conda specifically tries to install the osx-64 version. Hence, I would attempt to explicitly install the win-64 version of 0.7.0 and see if that works. That is,
conda install conda-forge/win-64::automat
If that doesn't work, I suppose I would try (4) or (5) next.

Using pip and easy_install in virtualenv on Windows

I was trying to install a few packages in a virtual environment using pip. I was getting the error:
Downloading/unpacking pymongo
Cannot fetch index base URL https://pypi.python.org/simple/
Could not find any downloads that satisfy the requirement pymongo
No distributions at all found for pymongo
I found that some say a workaround is downgrading your pip. I downloaded and installed pip 1.2.1 Now I get the error:
(env1)PS C:\dev\virtualenvs> pip install bottle
Downloading/unpacking bottle
Cannot fetch index base URL http://pypi.python.org/simple/
Could not find any downloads that satisfy the requirement bottle
No distributions at all found for bottle
The log says:
urlopen error [Errno 10013] An attempt was made to access a socket in a way forbidden by its access permissions>
How do I correctly use virtualenvs on windows?
EDIT: I am able to use pip when not in my virtualenv.

In this case the operating system should not matter. Also this should not be a question about virtualenv (as suggested in your title). pip just cannot access the remote end that it would like to access. Does it take some time for the error message to appear (is this a timeout issue)? If yes, then this is a networking issue, maybe triggered by a firewall. You should check this first.