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Questions and Answers
What is one reason programming is essential for Data Science?
What does REPL stand for?
Read-Eval-Print Loop
Compiled languages are executed directly without conversion to binary.
False
Which of the following is a characteristic of an interpreted language?
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The command to test if Python is installed correctly is 'python ______'
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What is the file extension for a Jupyter Notebook?
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Match the Python characteristics with their descriptions:
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What does the following code print? 'print("Hello World!")'
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Python allows for multiline comments using triple quotes.
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What are variables in programming?
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Study Notes
Programming for Data Science
- Data Engineering is improved by programming.
- Programming allows access to pre-built analytics libraries.
- Customization, Scalability, Automation and Integration are key benefits of programming for Data Science.
Why Python?
- Cross Platform
- Used for Data Science, AI, IoT, Web and Scripting.
- Can be used in various modes (REPL/Shell, Program, Interactive).
- Flexible paradigm: Structural, Functional, and Object Oriented.
- Large ecosystem of libraries.
Programming Languages Overview
- Genesis: Progression from Binary and Assembly to 3rd and 4th Generation Languages.
- Purpose Driven: Languages designed for specific tasks.
- General Purpose: Languages like Java and JavaScript designed for a wide range of applications.
Compiled vs Interpreted Languages
- Interpreted Languages execute line by line directly.
- Compiled Languages translate code into binary for a specific operating system.
- Hybrid languages combine elements of both.
Programming Paradigms
- Structural or Procedural (Pascal, Fortran) prioritize sequential execution.
- Object Oriented emphasizes data and methods in objects.
- Functional utilizes functions as primary building blocks.
Installing Python
- Download Python from the official website (https://www.python.org/downloads/).
- Select the option to "add python into system path" during installation.
- Download Visual Studio Code (https://code.visualstudio.com/download).
Testing Python
- Open a terminal or command line tool.
- Type "python --version" to check if Python is installed correctly.
- Type "code." to test if VS Code is installed correctly.
Running Python
- Interactive Shell or REPL Interpreter: Execute code line by line.
- Python File: Create a file with the ".py" extension and run from the terminal using "python filename.py".
- Jupyter Notebook: Combines interactive and program file modes.
- Cells allow for code execution and Markdown documentation. Files have the ".ipynb" extension.
Writing in Python
- Space Sensitivity: Code blocks are defined by indentation using spaces.
- Case Sensitivity: Variable names like "MyName", "myName" and "myname" are different.
- Scope Sensitivity: Variables defined within functions are only accessible within those functions.
Comments in Python
- Single Line Comments: Use the "#" symbol.
- No Multiline Comments: Instead, use multiple single line comments or a docstring for multiline documentation.
Hello World!
- The
print("message")function outputs a message to the user. -
print ("Hello World!")will display the text "Hello World!" on the screen.
Variables
- Variables are like labeled boxes that store values.
- Think of them as containers holding specific types of data.
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Description
Explore the essential role of programming in data engineering and data science. Understand why Python is a favored language due to its flexibility and vast library ecosystem. Learn about the evolution of programming languages and the distinction between compiled and interpreted languages.
