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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
Recommended Certificates/Courses (Affiliate Links)
==================================
DataCamp:
Coursera:
My Tech for Data Science
(Includes Amazon Affiliate Links)
==================================
Social Media / Contact Me
======================
As an Amazon Associate, I earn a small commission from qualifying purchases on the Amazon links above. It costs you nothing but helps me in keeping the content coming.
#pythontutorial #datavisualization #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
Recommended Certificates/Courses (Affiliate Links)
==================================
DataCamp:
Coursera:
My Tech for Data Science
(Includes Amazon Affiliate Links)
==================================
Social Media / Contact Me
======================
As an Amazon Associate, I earn a small commission from qualifying purchases on the Amazon links above. It costs you nothing but helps me in keeping the content coming.
#pythontutorial #datavisualization #python
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