You showing me this a couple months ago has been a game changer for how I interact with python and my server. For troubleshooting and learning it has been a god send. Really do appreciate your help getting started.
The markdown is good for describing what is going on. If you look at some of the example notebooks, they do a good show showing how it can help.
For example, this simple notebook uses it to give an overview of each code block and what's going on. Most of the time when using Notebooks you are dealing with a lot of data.
Notebooks are great for tutorials and courses. I was doing a course on deep learning on Coursera and the tutorials/homeworks were Notebooks. I have used Notebooks for Kaggle submissions as well.
I am a bit confused though in terms of the difference between Jupyter Notebook and IPython Notebook, so much so that I can't remember which was the one that I used...
Jupyter Notebook is just awesome!
I was introduced to it by a colleague. We used MATLAB and struggled to get a licence because of a shortage. He already used IPython Notebook and at the time it upgraded to Jupyter Notebook he set up a server and introduced his subdivision colleagues. It spread like a wildfire in the whole R&D department. I have never seen a similar adoption and success of an open source tool or any other tool.
This experience was a game changer for me and I started using more open source software like LATEX, Blender and Inkscape. Brave Browser is the latest member of this club.
Jupyter Notebook is best used on Linux. In case you want to try it on Windows i recommend WinPython, it contains Jupyter Notebook beside some other useful tool-sets.
Even Microsoft is in love with Jupyter Notebooks! You can use them for FREE on Azure Notebooks. Microsoft uses a Linux server environment and Python 2.X, 3.X, R and F# Kernels are pre-installed.
You showing me this a couple months ago has been a game changer for how I interact with python and my server. For troubleshooting and learning it has been a god send. Really do appreciate your help getting started.
Mixing in the markdown with the code is intruiging. I don’t do much statistical stuff but I’m still thinking I should try it out :)
The markdown is good for describing what is going on. If you look at some of the example notebooks, they do a good show showing how it can help.
For example, this simple notebook uses it to give an overview of each code block and what's going on. Most of the time when using Notebooks you are dealing with a lot of data.
Another great example:
https://www.kaggle.com/stkbailey/teaching-notebook-for-total-imaging-newbies
Notebooks are great for tutorials and courses. I was doing a course on deep learning on Coursera and the tutorials/homeworks were Notebooks. I have used Notebooks for Kaggle submissions as well.
I am a bit confused though in terms of the difference between Jupyter Notebook and IPython Notebook, so much so that I can't remember which was the one that I used...
Jupyter is the new name, it used to be called Ipython Notebooks.
Jupyter Notebook is just awesome!
I was introduced to it by a colleague. We used MATLAB and struggled to get a licence because of a shortage. He already used IPython Notebook and at the time it upgraded to Jupyter Notebook he set up a server and introduced his subdivision colleagues. It spread like a wildfire in the whole R&D department. I have never seen a similar adoption and success of an open source tool or any other tool.
This experience was a game changer for me and I started using more open source software like LATEX, Blender and Inkscape. Brave Browser is the latest member of this club.
Jupyter Notebook is best used on Linux. In case you want to try it on Windows i recommend WinPython, it contains Jupyter Notebook beside some other useful tool-sets.
Even Microsoft is in love with Jupyter Notebooks! You can use them for FREE on Azure Notebooks. Microsoft uses a Linux server environment and Python 2.X, 3.X, R and F# Kernels are pre-installed.
Check out Jupyter Lab the next iteration of Notebooks.
Jupyter Notebook is just awesome!
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This is my first time of hearing about it and I really appreciate your efforts, am gonna get it
Github also have support for jupyter notebook, some hard core python coder will use it to document haha
Jupyter notebooks are great. I actually run notebooks in Docker. I've ran into problem with python running on my Mac. Docker made life easier.
Python already has a solution for that. Virtual Environments. ‘Virtualenv’