11 Antworten
+ 9
Libraries are often well specialized and theme-focused. The most recognized repository for them is PyPI, the Python Package Index:
https://pypi.python.org/pypi
It is searchable :)
+ 8
A bit of all, I would say. Some concepts are better to be studied alone by reading the docs and some are simpler to understand when shown online.
If you need statistical/mathematical background refreshed, I would recommend reading - it's more of a theoretical knowledge. While if you want to see some models or neural network in action, you might want to run a video to observe it. Especially if you'd have to wait a couple of hours/days before it runs all the epochs ;)
+ 6
Oh, no, by far no.
Those are all that are verified and accessible for everyone, but you have to "pip install" or " conda install" them to be able to use them.
+ 6
Sure, check out the titles on my Python-devoted thread:
https://www.sololearn.com/discuss/444755/?ref=app
Also, there are pretty good courses on coursera.org and particularly on datacamp.com (6-months for free now! shh.... ;)
+ 5
go to
1---pycharm ide/compiler
2---files
3---settings
4---project interpreter( keep internet on)
##theres a search area for each and every module in python ever created.##
5---u can install them( latest version)
6---do codes using them
7---even unistall them when tasks over
from A to Z
see each module name
google them..
see how/when/why they works...
+ 4
Oh okay.
I confused PSL with PyPI haha
+ 4
Thank you, @Kuba and @sayan
+ 4
Adding couple of library resources:
https://code.sololearn.com/WPt7hMnBd60i/?ref=app
+ 3
So is that the set of libraries that are inbuilt?
+ 3
@Kuba, and do you know any books that are teaching you to use the libraries refering to Big Data?
+ 3
Thanks a lot:)
And want to know your opinion, what is easier to learn python after you know basics, watch courses/read books or search in documentations?