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Scientific Development Environments
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Scientific Programming in Python and Fortran
Scientific Development Environments
Scientific Programming in Python and Fortran
Contents:
Python and Visual Studio Code
Installing Visual Studio Code
Installing required extensions for Python
Creating, saving and opening Python source files
Activating the Python extension
Selecting the correct Python interpreter
Executing a Python source file (.py)
Using Visual Studio Code with Anaconda
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Using and creating Jupyter Notebooks
How to use Python virtual environments
Using a virtual enviromnents (venv)
Managing packages in virtual environment
Using virtualenv to create environments
Creating reproducable environments
Using pipenv to manage environments and packages
Installing pipenv
Setting up a pipenv project
Installing packages
Running a project using pipenv
Executing a shell in the created environment
Listing package dependencies
Updating packages in a project
How to use Conda environments
Creating a Anaconda environment
Activating and deactivating Anaconda environments
Removing an environment
Cloning an existing environment
Exporting an Anaconda environment
Conda and pip
Using conda environments in Jupyter Notebooks
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