python anaconda visual studio code

Опубликовано: 25 Февраль 2024
на канале: CodeLines
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in this tutorial, we'll explore how to set up and use anaconda with visual studio code (vs code) for python development. anaconda is a popular python distribution that includes many pre-installed libraries and tools useful for scientific computing and data science, while visual studio code is a lightweight yet powerful code editor. combining anaconda with vs code provides an excellent environment for developing python applications, especially those involving data analysis, machine learning, and scientific computing.
before we begin, make sure you have the following prerequisites installed:
follow these steps to set up anaconda environment in visual studio code:
open visual studio code, go to the extensions view by clicking on the square icon on the left sidebar or pressing ctrl+shift+x, then search for "anaconda" in the extensions marketplace. install the "python extension for visual studio code" provided by microsoft.
open the anaconda navigator from your system. from the navigator, you can create and manage python environments easily. create a new environment if needed and install the required packages using the following command in the anaconda prompt:
replace package_name with the name of the package you want to install.
after installing the required packages, activate the anaconda environment in visual studio code. press ctrl+shift+p to open the command palette, then type and select "python: select interpreter". choose the anaconda environment you created earlier.
let's create a simple python script using anaconda in visual studio code.
open visual studio code, create a new file, and save it with a .py extension, for example, hello.py.
write the following python code in hello.py:
this script defines a simple function main() that prints a greeting message.
to run the script, press ctrl+shift+p to open the command palette, type and select "python: run python file in terminal". this action executes the script in the integrated terminal.
you should see the output " ...

#python #python #python #python #python
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