The document discusses a lesson on data wrangling in Python. It covers basics of Python like its history, versions, and features. It also discusses data types in Python like numeric, string, and sequence types. Specifically, it covers integers, floats, strings, lists and operations on sequences like strings and lists. The document provides instructions on installing Miniconda and Jupyter Lab as well as examples of Python code for hello world, variables, and operations. The next week's lesson will cover dictionaries and control statements.

1. Data Wrangling
Week 2
Dr. Ferdin Joe John Joseph
Faculty of Information Technology
Thai – Nichi Institute of Technology, Bangkok

2. Today’s Lesson
• Basics of Python
• Data Types
• Variables
• Operators and Operands
• Lists
• Demonstration
Faculty of Information Technology, Thai - Nichi Institute of
Technology, Bangkok

3. Basics of Python
• Python is available in version 2 and 3
• Version 3 is highly recommended
• Version 2 is used to run some old frameworks
Faculty of Information Technology, Thai - Nichi Institute of
Technology, Bangkok

4. Basics of Python
• Development started in the 1980’s by Guido van Rossum.
• Only became popular in the last decade or so.
• Interpreted, very-high-level programming language.
• Supports a multitude of programming paradigms.
• OOP, functional, procedural, logic, structured, etc.
• General purpose.
• Very comprehensive standard library includes numeric modules,
crypto services, OS interfaces, networking modules, GUI support,
development tools, etc.
Faculty of Information Technology, Thai - Nichi Institute of
Technology, Bangkok

5. Features of Python
• Easy to learn.
• Supports quick development.
• Cross-platform.
• Open Source.
• Extensible.
• Embeddable.
• Large standard library and active community.
• Useful for a wide variety of applications.
Faculty of Information Technology, Thai - Nichi Institute of
Technology, Bangkok

6. Getting Started
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Technology, Bangkok

7. Recommended way
• Use Miniconda
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Technology, Bangkok

8. Miniconda Installation
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Technology, Bangkok

9. Miniconda Installation
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Technology, Bangkok

10. Miniconda Installation
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Technology, Bangkok

11. Miniconda Installation
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Technology, Bangkok

12. Miniconda Installation
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Technology, Bangkok

13. Miniconda Installation
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Technology, Bangkok

14. Miniconda Installation
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Technology, Bangkok

15. Miniconda Installation
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Technology, Bangkok

16. Miniconda Installation
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Technology, Bangkok

17. Jupyter Lab Installation
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Technology, Bangkok

18. Jupyter Lab Installation
• Enter the following in the command prompt
conda install –c conda-forge jupyterlab
Respond ‘y’ when prompted
Faculty of Information Technology, Thai - Nichi Institute of
Technology, Bangkok

19. Jupyter Lab – Getting Started
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Technology, Bangkok

20. Jupyter Lab – Getting Started
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Technology, Bangkok

21. Jupyter Lab
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Technology, Bangkok

22. Jupyter Lab
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Technology, Bangkok

23. Hello World
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Technology, Bangkok

24. Python - Datatype
• All datatypes are supported
• No need to mention integer of string
• Flexible in defining variable
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Technology, Bangkok

25. Python - Datatype
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Technology, Bangkok

26. Python - Datatype
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Technology, Bangkok

27. Python – Operations and operands
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Technology, Bangkok

28. Python – Operations and operands
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Technology, Bangkok

29. Python – Operations and operands
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Technology, Bangkok

30. Python – Operations and operands
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Technology, Bangkok

31. Python – Operators and Operands
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Technology, Bangkok

32. Variables: Numeric Type
• The subtypes are int, long, float and complex.
• Mixed arithmetic is supported, with the “narrower” type widened to
that of the other.
• The same rule is used for mixed comparisons.
Faculty of Information Technology, Thai - Nichi Institute of
Technology, Bangkok

33. Variables: Numeric Type
• int: equivalent to Java’s long int in 2.x but unlimited in 3.x.
• float: equivalent to Java’s doubles.
• long: unlimited in 2.x and unavailable in 3.x.
• Complex: Complex numbers
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Technology, Bangkok

34. Numeric Type
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35. Variables: Sequence Type
• There are seven sequence subtypes: strings, Unicode strings, lists,
tuples, bytearrays, buffers, and xrange objects.
• The most commonly used sequence data types are strings, lists, and
tuples. The xrange data type finds common use in the construction of
enumeration-controlled loops. The others are used less commonly.
Faculty of Information Technology, Thai - Nichi Institute of
Technology, Bangkok

36. Sequence Type: Strings
• Created by simply enclosing characters in either single- or double-
quotes.
• It’s enough to simply assign the string to a variable. Strings are
immutable.
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Technology, Bangkok

37. Strings
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38. Lists
• Arrays in Python
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39. Lists
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40. Lists
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41. Sequence operations
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Technology, Bangkok

42. Sequence operations
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43. Sequence operations
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Technology, Bangkok

44. Exercise
• Practice all the codes in Google Colab
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Technology, Bangkok

45. Lesson for Next Week
• Dictionaries
• Control Statements
• Demonstration
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Technology, Bangkok