Data Science with Jupyter Notebooks
Interactive data science with Jupyter notebook The way I run Python code live on the screen is by using a Python package called Jupiter. Jupyter is built into the IPython project and allows Interactive Python to run in your browser. But it is more than that. From special command "magic" and bash commands to plugins, Jupiter greatly enhances the Python coding experience. If you are already using Jupiter, I hope I can improve your workflow and show you some new tricks. If you are not yet using Jupyter, then log in. Installation and startup The easiest way to install Jupiter is to install the pipe using Jupiter, although if you use a package Python distribution like Anacondo, you may have already installed it. Be sure to activate your Python environment first. We dive. When you turn on Local Jupyter, you'll connect to a locally running webserver through your browser, usually on the 8888 port. Start your notebook by running Jupiter Notebook in your work directory. Normally Ju