Scalars and Vectors
Jupyter Notebook is becoming extremely popular in the world of data science and machine learning. In this video tutorial I run you through everything you will need to know in order to get started with a project in Jupyter. I explain why it's useful and why it's being widely adopted by data scientists. I run through the UI fundamentals and some handy tips and tricks that I've learned over the past year or so. There is also a detailed guide below on how to setup a fresh anaconda environment (with a kernel) and install jupyter.
Installing Anaconda - Step 1
You will need to install Anaconda to follow along with this tutorial. I recommend you download the Python 3.7 version. If you already have Anaconda installed, go to step 2.
Anaconda can be downloaded here:
Thanks for reading.
Happy Coding :)
Best Python / Machine Learning Books
Did you find this helpful?
Kindly consider supporting me.
jupyter notebook tutorial, jupyter notebook python, jupyter notebook markdown tutorial, jupyter notebook install, jupyter notebooks, python jupyter, jupyter install, jupyter introduction, jupyter notebook for beginners, iPython, python Ipython, iPython Notebook,jupyter notebook for machine learning,machine learning jupyter tutorial,anaconda jupyter,how to use jupyter notebook,how to create a jupyter notebook, beginnner guide jupyter notebook, ipykernel, jupyter notebook, jupyter notebook beginner guide, jupyter notebook ultimate guide, best jupyter notebook tutorial, jupyter notebook for data science, how to use jupyter notebook for machine learning, jupyter, conda install jupyter, installing jupyter with anaconda, learn jupyter notebook, jupyter notebook lessons, jupyter notebook server, jupyter notebook python, exporting a jupyter notebook, how to export jupyter notebook to pdf, how to export jupyter notebook to html, jupyter notebook tips, jupyter notebook tips and tricks,