Python prerequisites
Take these situations :
Where
Why
How
now
never
sometime
Thus, you see, pull is in intricate affair.
Take this equation
- guilabel
Open Model
import os
print(help(os))
Danger
This is only a learning test-bed. Take nothing that’s here seriously
Let’s play some games
Take \(a = b + 2\) as a small equation, and calcualte \(a\) when \(b = 5\) !
Admonitions
Admonitions are ways to include texx-box (as in \(\text{\LaTeX}\)).
They can be of the following types—
Attention
Attracting attention of the reader
To draw focus of a reader to a particular text, this admonition can be well used to have a good effect.
Caution
If you want to warn the reader
Suppose there’s a word of caution for the reader that you want to print with coloured text-box. This is simply the way out.
Danger
Dangerous items to be put here
When you warn the reader of some potential danger, then this admonition is the best way to do that. It’s like a 440 Volt sign on the road.
Error
Error messages or error texts
Hint
Hints to problems
This comes in handy for very complex problems which practically cannot be solved without a small hint.
Important
Important matter here !
Wow ! Bringing important matter with raised focus is one of the duties of a good documentation.
Note
Notes are most common Admonitions.
People use this place to say something that has to be kept in mind, whether the main matter is well understood or not.
Tip
Tips are very similar to Hints.
Warning
Warning and Caution should be
synonymous, I suppose !
See also
Pointing to something that’s
extra— over and above the plain text.
You can write long, long, long paragraphs… Like a story of your childhood, or the memory of an event you saw when you were eighteen that took you not only by surprise, but came to your reminiscence several times in your life. These events are to be given some importance, and even can creep into your dreams once in a lifetime. But I’d say it’s best to ignore such thoughts.
Note
Ignore memory-recurring events.
Artificial Intelligence and Machine Learning
Artificial Intelligence (AI) is concerned with making computers intelligent, and take decisions without humans (or even human-created codes) explicitly directing it what to do in which situation.
Machine Learning (ML) is the process where a computer code learns to take the right decisions by looking at data, embodying a good amount of experience across some domain.
Partha, Freelancer@
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