Develop Reference

Conda install geopandas doing nothing

I'm using conda with Spyder/Python 3.8.8.
I'm trying to install the geopandas package through conda-install, but when running it, I receive no output.
I've input the command conda install -c conda-forge geopandas and let it run for 30 minutes so far, so I doubt it's just a large package or poor connection. I don't know if I'm supposed to be seeing progress updates, but if I am, I'm not.
Any help is appreciated, thanks!

If you are using the base Anaconda environment, then there are packages that are conflicting with geopandas. I suggest you to create new environment for geopandas:
open anaconda command line and run this command to create new environment:
conda create --name gis python==3.8
You can use any version of python you like of course. Then you need to activate it:
conda activate gis
Now you can install geopandas and jupyter lab if you need it (Personally recommend VSCode):
conda install -y -c conda-forge geopandas jupyterlab
enter code here

Use below command to install,
conda install geopandas
or
pip install geopandas
When using pip to install GeoPandas, you need to make sure that all dependencies are installed correctly.
fiona provides binary wheels with the dependencies included for Mac and Linux, but not for Windows.
pyproj, rtree, and shapely provide binary wheels with dependencies included for Mac, Linux, and Windows.
Windows wheels for shapely, fiona, pyproj and rtree can be found at Christopher Gohlke’s website.
Depending on your platform, you might need to compile and install their C dependencies manually. We refer to the individual packages for more details on installing those. Using conda (see above) avoids the need to compile the dependencies yourself.

This solution might not be exactly relevant, but since there is no marked solution, it might help...
I recently ran into a problem installing geopandas as well. Though I did mine through my terminal and I did receive an error message: OSError: could not find or load spatialindex_c-64.dll.
I used: conda install -c conda-forge rtree=0.9.3.
Check out this post for more info.

Installing a package from git in Anaconda environment which is afterwards not recognized in Python

I'm trying to install a python package directly from github. In my case that's SciANN. When I selected my environment in conda using conda activate myenv and afterwards install this package as explained in this post using the following lines of code:
conda install git pip
pip install git+git://github.com/sciann/sciann.git
it is successfully installed and I get the message "Successfully built SciANN" in the end of the insatllation procedure. When I then open spyder and type import sciann I get the error ModuleNotFoundError: No module named 'sciann'. I also tried to use pip3 instead of pip but this did not change something.
Have I missed something? Is this package now installed correctly into my environment myenv?

The deleted answer from Jay Prakash together with the comments brought me on track. Yes there can be different versions of packages installed. So in my case SciANN was installed using pip as they currently do not offer a conda installation while all my other packages where installed with conda. I ended up having two different versions of tensorflow installed, one from pip and one from conda so I deleted one. Additionally I used Python version 3.7 while this package supports only up to 3.6. And I had to use a non official tensorflow version because my CPU does not support AVX which is a whole new topic.

Trying to install new libraries on Spyder (Python 3.7)

I am new to python and I am having trouble downloading some new libraries that don't appear to be pre-installed. The names of them are rasterio and retrying. I continuously get an invalid syntax error, and I have tried using some different suggestions found online.
pip install rasterio
Above is the way I was attempting to do it, and I also tried without the pip in there, but neither option worked. I am new enough to the language that troubleshooting is very difficult. Any help is greatly appreciated!

There are several ways to install rasterio, using anaconda you have the documentation here: https://anaconda.org/conda-forge/rasterio
If you are on windows installing rasterio using pip install can be difficult since it requires binary wheels, but here is the tutorial: https://rasterio.readthedocs.io/en/latest/installation.html
I advise you to use linux since it is much easier to install packages, you can either install a dual boot or a virtual box.

I suppose you are using Spyder IDE with Anaconda. So, to install rasterio package you can open anaconda prompt and type:
conda install -c conda-forge rasterio
For further information about package installation check out this link.
Also, to install any conda packages just google it once, you will find instructions to install it mostly in anaconda's official site.
Edit:
Please remove the rasterio package once. And install it again, see if works. If it doesn't work create a new environment like: conda create --name myenv. Then install rasterio again.
If this still doesn't work, try to install rasterio from here like conda install -c ioos rasterio.

How to install gensim on windows

Not able to install gensim on windows.Please help me I need to gensim Immediately and tell me installation steps with More details and other software that needs to be installed before it. thanks

First you need to install NumPy then SciPy and then Gensim (assuming you already have Python installed). I used Python 3.4 as I find it easier to install SciPy using version 3.4.
Step 1) Install Numpy:
Download numpy‑1.13.1+mkl‑cp34‑cp34m‑win32.whl from here
note that in cp34-cp34m 34 is version of Python you are using. So download appropriate file
Open command prompt and go the folder in which you just downloaded the file and install Numpy using following command:
pip install numpy‑1.13.1+mkl‑cp34‑cp34m‑win32.whl
You should get successfully installed numpy message
Step 2) Install SciPy:
Follow the same link as above and download the scipy‑0.19.1‑cp34‑cp34m‑win32.whl file.
Install it using the same instructions than in Step 1 but with this file name. The command is the following:
pip install scipy‑0.19.1‑cp34‑cp34m‑win32.whl
You should get this message successfully installed scipy
Step 3) Install gensim:
Follow the link in step 1 and download gensim‑2.3.0‑cp34‑cp34m‑win32.whl (the appropriate version for your system)
Install it using the instructions in Step 1 (with this file name) with following command:
pip install gensim‑2.3.0‑cp34‑cp34m‑win32.whl
You should get this message successfully installed gensim
Now in a Python shell try:
import gensim
It should be successfully imported
NOTES:
Make sure pip is in your environment variables (add C:\python34\scripts to your environment variable).
Make sure to download all the packages according to the Python version you are using.

gensim depends on scipy and numpy.You must have them installed prior to installing gensim. Simple way to install gensim in windows is, open cmd and type
pip install -U gensim
Or download gensim for windows from
https://pypi.python.org/pypi/gensim
then run
python setup.py test
python setup.py install

I struggled with this a bit today trying to figure out if I needed a python 2.7 environment or if I could use my 3.5. I ended up doing this from an Anaconda 3.5 install:
conda install -c anaconda gensim=0.12.4
After a few hours of trying various things, suddenly it all worked on 3.5. My error was that it kept failing to install Scipy. I tried starting over with the conda install and just worked.
See: https://anaconda.org/anaconda/gensim

I strongly suggest using anaconda where the installation of all the packages is very easy.
The command for installing genism and all of its necessary packages on windows using anaconda python 3.7 is below.
conda install -c anaconda gensim

I followed the instruction on https://radimrehurek.com/gensim/install.html which then successfully installed the fast version of Gensim (3.8.0) on Windows:
conda install -c conda-forge gensim
PS:
The following did NOT install the fast version on Windows:
conda install gensim

After attempting some of the above ideas, there was still a "hiccup" with gensim but the error was something else related to punkt. The following (where the interest is the second line)...
import nltk
nltk.download('punkt')
import numpy
import scipy
import gensim
...did the trick. I used conda and not pip but do not believe that mattered.
Versions: latest python
Machine: Windows 10 (latest updates as of 8/2020)

Problems installing TensorFlow on Mac

I am trying to follow to the installation guide on tensorflow.org and have installed Python version 2 again for that reason using Homebrew.
When I run the installation as described
$ pip install https://storage.googleapis.com/tensorflow/mac/tensorflow-0.5.0-py2-none-any.whl
I get this error message:
tensorflow-0.5.0-py2-none-any.whl is not a supported wheel on this platform.
I am obviously doing something wrong, but have no idea. Any clues?

I do not want to use virtualenv, since anaconda already comes with its own environment management conda. When installing the newest version 0.6.0 directly with pip install, I had a similar error. It seemed to not resolve the dependencies correctly.
Here is what you can try:
Install anaconda
Create a new conda workspace
Download the specific protobuf version that tensorflow needs: https://pypi.python.org/pypi/protobuf/3.0.0a3
Install it via sudo easy_install ~/Downloads/protobuf-3.0.0a3-py2.7.egg
Install a numpy version greater than 1.08.x via conda install numpy
Download the 0.6.0 version of tensorflow: https://storage.googleapis.com/tensorflow/mac/tensorflow-0.6.0-py2-none-any.whl
Install via pip install ~/Downloads/tensorflow-0.6.0-py2-none-any.whl
When you install tensorflow from the whl file directly, it should tell you when dependencies are not there. It seems not to be able to resolve these conflicts independently. My setup had issues with protobuf and numpy. After installing them manually everything worked fine.
I hope this helps!

It seems to be a common issue. Try to install it in the virtualenv. Its a much better solution, as you can always easily set up a new version of tensorflow without conflicts.
VirutalEnv Tutorial:
http://tensorflow.org/get_started/os_setup.md#virtualenv-based_installation

On the Mac, I didn't have any problem installing tensorflow with the anaconda version of python: https://www.continuum.io/downloads
The anaconda version also provides science, math, engineering, and data analysis packages. A lot of people on https://www.kaggle.com/ seem to use this...just a thought.