Python Objects frequently used in Data Science / Data Analysis - P.1

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(My recommended courses that I took to learn Python!)

This video provides an overview of the basic objects in Python that Data Analysts and Scientist will deal with on a routine basis. For this video we cover expressions (integers, strings, etc.), variables (x=1), and functions (print("hello world")). At the end we perform two practice problems using data from 'The Office' to reinforce what we learned.

00:00 Video Overview
01:02 Background - Object-Oriented Language
01:45 Expressions: Numbers
02:44 Expressions: Strings
03:25 Expressions: Boolean
03:38 Expressions: Lists []
04:09 Expressions: Tuples ()
04:38 Expressions: Sets {}
05:18 Expressions: Dictionaries {:}
06:03 Variables: Overview/Rules
06:41 Variables: Assigning
07:20 Functions: Operators + - / * // % **
08:49 Functions: Methods
10:28 Functions: Built-in Functions
11:31 Functions: Imported Functions
12:41 Application: Working with Lists
15:46 Application: Working with Dictionaries
19:03 Conclusion

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#pythontutorial #datavisualization #python
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No idea on how this vid has so low views. Fantastic work

alessandrobartoli
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or we can use numpy to use the AVG fun() i think
from numpy import average
dict={'raed':33, "mahmod":22, 'nor':20}
x=list(dict.values())
print(average(x))
#this algorithm to caount the avg age with in the dict
#1. catch the values
#2. turn the values into a list
#3.use avg fun

raedokal
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The best part is that you use examples from "the office" which is my favorite serie. Thanks for this knowledge

factsthatfizz
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Hi Luke, have followed many Python basics tutorials in the field of Data Analytics, yours are really among the top out there. You have earned my subscription to your channel. Keep up the good work with your tutorials!

mischapeters
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i just finished video, many thanks luke, so simple and direct way to show and have practice with basic objects of pythons.
you rock !!!

aissamboudra
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Let's make this series popular, it deserves it!

rohitekka
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Thanks for making these videos they're really helpful to beginners.

Dangeruss
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This video is fantastic totally a great idea to be included in a portfolio

crisolivares
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Very interesting way of teaching by you sir. Loved the way you teach by doing exercises with real examples. Thanks a lot for this videos. And please keep this playlist running.

bandish.e.alfaaz
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could you please explain how could jupiter notebook recognise michael_count at 15:32 even this variable wasn't defined?

EminentJade
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GREAT CONTENT! how can I have access to the jupyter notebook?

nikhilshinde
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THANK YOU SO MUCH. YOU ARE APPRECIATED ALL OVER THE WORLD! GREETINGS. "Funny" thing: it took me more than two days to complete this tutorial, because I COPIED ALL THE CODES BY MYSELF. I realized what the material was for only at the moment of the exercises, where I told myself: "No, there must be a solution for this long code with all the names of the actors who had a line" LOL. But I don't regret it at all, because being new to Python I learned a lot by coding by myself!!! THANK YOU SO MUCH LUKE...MARRY ME

adfbi
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Thank You fr this
Its really helpful ✌🏻

techkeeda
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Very hard to find videos in field of data analytics, I would recommend "a day in a life of...."style of video for data analytics to show that this industry is as interesting as any other matured industry

IshaqDanial
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hey Luke can we have ur pandas and numpy playlist?

shaileshvadgama
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Dude you are a talent!! The short question I working in Web marketing and have a lot of data sales, ads, etc and I wish I knew how to use all this data to analyze and predict the outcome and what to do next, etc... this is why I want to learn data analysis you think the IBM course will fit for this job? or Google \ I just want to learn work with pytthon and Google don't teach this plus I want to finish as quick as I can I have 2-3 months Free to teach my self and from what I understand IBM course is fewer hours than Google

I have data from Google ads(how much ads cost what keywords etc) From the store I have data such as what product sold with what keyword, date of sale, time category, etc
I just thinking of the possibilities If I knew how to impropriate all this data I could bring more sales lower the price for ads, know what months best, hours, etc..
right now I doing it in google spreadsheet but it's really basic ( I want to under stand what I can do with all the data in my hands) since I understand that data = power!!

mrspock
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grt vids and all these office are a man of culture :)

poorvapandey
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Thank you you so much, I don't know why but after The "re-enter" it's just stop my code

1) First collect the name

firstinput=input('Hello what is your fav cast member?: ')

2)check if the name in the list and print it

if firstinput not in cast_members:
print('\n This is not a cast Member\n')
firstinput=input('Please Re-enter: ')

3) else check if this Michel Jim or Pam

else:
if firstinput=='Michael' or firstinput=='Jim' or firstinput=='Pam':
print(f'Yes {firstinput} is my fav chr')


elif firstinput != "Angela" and firstinput !="Dwight":
print(firstinput + "yes this are really good chr")

else: print (firstinput + "hate them")

mrspock
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Most of struggles in using javascript and vba is the dot method. Like IE.getElementsById. Etc. i understand how to use them but not all. The challenge for me is if such dot menu exist to do a specific action that I am looking for and how to use the rest of the Dot menus.I see that python has too.

juanpaoloyt
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