PYTHON conda command cheat sheet. I want to manage Python packages and more! I want to create a virtual environment with conda! I want to reproduce the created environment on a new PC! For those who say, and as a memorandum of my own, I have summarized the commands of conda. There are various other commands, but I'm collecting only. Get your conda cheat sheet. With Miniconda you download only the packages you want with the conda command, 'conda install PACKAGENAME' BEFORE YOU START GET IT. Quartus ii web edition 13.1 download.
some useful productivity tools¶¶
- code editor: sublime text: https://www.sublimetext.com/3
- nicer command line tool for Windows: http://cmder.net/
You can control where a conda environment lives by providing a path to a target directory when creating the environment. For example, the following command will create a new environment in a subdirectory of the current working directory called envs: conda create.
Conda Commands Cheat Sheet Download
Conda commands¶¶
What is conda?
- Conda is a powerful environment and package manager.
- Create multiple environments with different versions of Python with different sets of libraries
- easily switch between environments
- http://anaconda.org/ provides free hosting for Python libraries
- conda helps to easily search for, install libraries and also to keep them up to date
Learn resources:
- getting started: http://conda.pydata.org/docs/test-drive.html#managing-environments
- reference doc: http://conda.pydata.org/docs/
List all environments¶¶
Run the above command in terminal
Create a new environment¶¶
Check if new folder was created in C:anaconda3envs
Advanced steps¶¶
Clone an existing environment¶¶
Conda Command Not Found
For instance, to clone the root
environment:
But you would most likely want to clone the ArcGIS Pro’s Python environment so you can experiment without messing up the default one
Starting Jupyter notebook in a different directory¶¶
Conda Commands Cheat Sheet Pdf
Conda Commands Cheat Sheet Free
For the most part you can cd
to desired directory after activating your environment and start the notebook. But if you cannot do it: