I want to know if there is a manner to put a scrollbar (horizontal or vertical) on a matplotlib showing page (plt.show) that contains several sublots (sublot2grid). At the moment, the only solution I find is to make the subplots very small, which isn’t very elegant at all.
I’m using Jupyter Lab and I’m having trouble to add conda environment. The idea is to launch Jupyter Lab from my base environment, and then to be able to choose my other conda envs as kernels.
I would like to use Python for scientific applications and after some research decided that I will use Anaconda as it comes bundled with loads of packages and add new modules using conda install through the cmd is easy.
In the Anaconda repository, there are two types of installers:
I recently discovered Conda after I was having trouble installing SciPy, specifically on a Heroku app that I am developing.
I am new to Anaconda Python and I am setting up a project in Sublime Text 3. I have installed Anaconda and created a virtual environment using:
I have installed a fresh anaconda v4.4. I realized that python packages can be installed using both conda and pip. What is the effect of using pip to install python packages instead of conda when using anaconda? Will the pip-installed libraries cease to function? I am using python v3
I have Anaconda working on my system and VsCode working, but how do I get VsCode to activate a specific environment when running my python script?
Conda and conda-forge are both Python package managers. What is the appropriate choice when a package exists in both repositories? Django, for example, can be installed with either, but the difference between the two is several dependencies (conda-forge has many more). There is no explanation for these differences, not even a simple README.
I currently have Python 3.5.2 installed via Anaconda Continuum. I’m trying to upgrade to Python 3.6 but I’m getting the below error when I try to run conda install python=3.6: