1. Introduction to Programming Languages and Python Flashcards
What is the connection between programming and data science in the context of Python?
Python is popular in data science due to its rich libraries like NumPy, Pandas, and Scikit-learn.
These libraries facilitate numerical computing, data manipulation, and machine learning tasks.
What type of programming language is Python?
Python is an object-oriented programming (OOP) language.
Benefits of OOP include modularity, reusability, and easier maintenance.
What is the significance of indentation in Python syntax?
Indentation is crucial in Python as it defines code blocks.
Unlike many other programming languages that use braces, Python relies on indentation for structure.
Name three popular libraries in Python used for data science.
- NumPy
- Pandas
- Scikit-learn
These libraries are essential for various data science tasks.
What are some libraries in Python used for web development?
- Django
- Flask
These frameworks help in building web applications efficiently.
What is one of the major advantages of the Python community?
The Python community is large and active, providing ample support and resources.
This includes tutorials and documentation for learners of all levels.
List some specific use cases for Python.
- Web development
- Data analysis
- Machine learning
- Automation
- Scripting
Python is versatile and widely used across various domains.
What is a key difference between Python 2 and Python 3?
Python 3 is the current version and is recommended for use.
Python 2 has reached the end of its life and is no longer supported.
Fill in the blank: Python relies on _______ to define code blocks.
indentation
What should learners do as a concrete next step after learning about Python?
Download Python, install an IDE, and try out basic code examples.
This encourages hands-on practice and exploration of the language.
