Writing Code Environments

Hello all,

I have just graduated with Excellent from Course 1 of the Machine Learning Specialization so here I am to continue it. Progress so far assumes essential experience with programming and Python so here come my concerns for personal practice in my own lab environments.

In the Machine Learning Specialization the code environments exist already by accessing them through our browsers as a Jupyter Notebook so that we can program in an object-oriented and visual environment.

Nevertheless I have installed Python in my laptop and all I see (including the IDLE Shell) are one black and one white screen that have nothing to do with how we are accustomed in these classes.

Jupyter Notebooks on the other hand and Jupyter Labs from their website, remind us more of what we’re doing in Stanford Online & Coursera. Nevertheless even with Jupyter the advices regarding installation use again default code and do not assume visual development.

So my question and my concern is, where do I program as a Python & Jupyter beginner? What installation steps should I follow to come back to something similar with the Coursera methods? Are Jupyter Notebooks and Jupyter Labs running as web environments the only solution of real-world programming in Python ? And why Python installation address only black and white environment?

Looking forward for your reply

Thanks in advance!

Hi @Menelaos_Gkikas ,

There are a number of ways to run the ML labs, these include Goodle colab, your own PC and other cloud based platforms. Of these, Colab is easy to use and offers the choice of CPU and GPU. There is no installation of Python and other frameworks, they are there ready to go.

The reason you are seeing the black and white on your own machine after installing Python is because you are interacting with Python in command mode.
It would be much more easy to use Colab whether you are seasoned or beginner developer, especially with the choice of processors on offer and is free. There is also a pay option too if you prefer.

Here is a link to Colab, take a look.