- BEST PYTHON IDE FOR RESEARCH MAC OS X
- BEST PYTHON IDE FOR RESEARCH INSTALL
- BEST PYTHON IDE FOR RESEARCH CODE
- BEST PYTHON IDE FOR RESEARCH DOWNLOAD
BEST PYTHON IDE FOR RESEARCH INSTALL
To install Jupyter separate from Anaconda, see Installing the Jupyter Software. Jupyter Lab is an Integrated Development Environment (IDE) that can open Jupyter Notebooks as well as other features. If you have the Anaconda distribution of Python installed, you have both Jupyter Notebook and Jupyter Lab installed.
BEST PYTHON IDE FOR RESEARCH CODE
Jupyter Notebooks are files that combine code with text and code output, so they are very useful for teaching and research. Many workshops use Jupyter Notebooks to run Python code. We do not use it explicitly in the workshops. When installing Anaconda, you may be asked whether you want to install Visual Studio Code as well. If you already have a different version of Python (for example, 2.7) installed with Anaconda, then installing Python 3 and making it available through Jupyter Notebooks isn’t as simple as installing a new version of Anaconda.
BEST PYTHON IDE FOR RESEARCH DOWNLOAD
If you have never installed Anaconda before, Download Anaconda for Python 3. Our Python Fundamentals workshop uses Jupyter Lab, which comes with the Anaconda distribution. Anaconda includes Python, Jupyter Notebook, Jupyter Lab, and most of the Python packages used in our workshops. We recommend the Anaconda distribution of Python 3. Python workshops use the current version of Python (currently 3.7 or 3.8).
BEST PYTHON IDE FOR RESEARCH MAC OS X
The version of Python that comes pre-installed with Mac OS X or Linux is not sufficient for the workshops.
If you don’t have Python installed, follow the instructions below. See the workshop details for information on additional packages you may need.
Many workshops do use Jupyter Notebooks though, so you should be familiar with them (see below). If you already have Python 3.x installed on your computer, and you’re comfortable managing your installation, installing new packages, and editing files, you don’t need to install a specific version of Python or a specific IDE.