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1. Jupyter Notebook
Jupyter Notebook is popular open-source Python IDE among data scientists. It supports:
Data cleaning
Data transformation
Numerical simulation
Statistical modeling
Data visualization
Machine learning
2. Installing Jupyter Notebook using Anaconda
This is the easier way to setup Python IDE for finance. Jupyter Notebook is embedded in Anaconda.
We strongly recommend installing Python and Jupyter using the Anaconda Distribution, which includes Python, the Jupyter Notebook, and other commonly used packages for scientific computing and data science.
First, download Anaconda. We recommend downloading Anaconda’s latest Python 3 version.
Second, install the version of Anaconda which you downloaded, following the instructions on the download page.
Congratulations, you have installed Jupyter Notebook! To run the notebook, run the following command at the Terminal (Mac/Linux) or Command Prompt (Windows):
3. Download Anaconda
https://www.anaconda.com/distribution/#download-section
Python 3.7 version (as at 04-12-2019)
Linux:
Open a terminal window and type:
cd ~/tools/anaconda3/bin
./anaconda-navigator
By default, Jupyter Notebook only accepts connections from localhost (e.g., from the same computer that its running on). By modifying the NotebookApp.allow_origin option from the default ' ' to '*', you allow Jupyter to be accessed externally.
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