iPad For Data Science– Really ?
Hello, my name is Kishan Tongrao. Today we are going to discuss how we can use the iPad for coding for data science.
I am pretty sure everyone now knows what an iPad is. When we are talking about an iPad, one thing that is for sure, they are way powerful.
“Any sufficiently advanced technology is equivalent to magic.” — Sir Arthur C. Clarke
Below are apps that you can use.
- Carnets — Jupyter
- Carnets — Jupyter (with scipy)
- Notebook Master for Jupyter
Carnets — Jupyter
It is the first go to app when it comes to Jupyter Notebooks. The power of Jupyter notebooks, running locally on your device. Jupyter notebooks are a powerful tool used in education and research. Carnets — Jupyter is complete, stand-alone, implementation of jupyter notebook. It has an embedded Python interpreter.
Numpy, Sympy, Matplotlib, Pandas, lxml, bokeh and nbextensions are per-installed. If you want to install new packages use, “pip install <package_name>.” One last thing, we do not need an internet connection to execute any notebook.
Carnets — Jupyter (with scipy)
It is the same as above. If you need to scipy, seaborn or scikit-learn, we need to use this variant of Carnets. All other features of Carnets — Jupyter will be present in this variant.
Notebook Master for Jupyter
If you are looking for an app that opens any notebook and has good notebooks in it, then this is the go-to app. We can open a notebook on Google Colab and play with it. Using this app, you can start the best way to learn AI/Deep Learning/Machine Learning and Data Science.
That’s It!
Thanks For Your Time.
