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Miniconda is essentially an installer for an empty conda environment, containing only conda, its dependencies, and python I would suggest wait a little more and hopefully, the installation would finish! However, after installation, i am unsure how to access the anaconda command prompt so that i can use conda to install packages
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I also attempted to install anaconda 64 bit in c:/program files, but several of the python script did not like the space and it failed to install So instead i waited and in 9 minutes exactly, the status changed from setting up the package cache to setting up the base environment What can i do to access the anaconda prompt?
Like requests, beautifulsoup, numpy, nltk, etc
If you have a miniconda installed, conda install anaconda will make it same as an anaconda installation, except that the installation folder names are different. 4 if you're using the windows os, open an anaconda prompt and type activate yourenvname And if you're using mac or linux os, open a terminal and type source activate yourenvname Yourenvname here is your desired environment in which you want to install the pip package.
What i still don't understand is, there are many good python libraries out there that suggest to use this virtualenv and anaconda I can even find a virtualenv plugin for pyenv Now i am getting confused with the purpose of these two, pyenv and virtualenv Worse, inside pyenv, there is a virtualenv plugin.
Trying to launch jupyter notebook from terminal
I am currently on my terminal in the correct folder, and i have python 3.5 installed along with conda But it is not launching. If you want to jump from c Drive to any drive just type the drive name with colon like (e:) in anaconda and enter, anaconda redirect you in that e:drive
Now take the folder path and use cd.\<<folder_path>> and then enter. For anaconda, the cacert.pem needs to be edited, the corporate ssl certificate needs to be added Cacert.pem can be found in two different locations inside the anaconda directory. Anaconda is a commercial python distribution and collection of hundreds of packages related to data science, scientific programming, development and more
