🎬
Data Science - Wintersemester 24/25
  • Welcome
  • What’s Data Science and How Do I Do It?
    • 📆Timeline
    • 🏴‍☠️R Overview
      • 📩Installation
      • 🐈‍⬛GitHub Setup
      • 🥗DataCamp Courses
    • 🐍Python Overview
      • 📩Installation
      • 🐈‍⬛GitHub Setup
      • 📦Virtual Environment Setup
      • 🥗DataCamp Courses
  • Introduction to Your Project
    • About the Project Guide
    • What is this Project About?
  • Exploratory Data Analysis (EDA)
    • Getting started
    • Discovering the Data 🔎
      • Initial Exploration Tasks
      • Initial Data Visualization
    • Data Cleaning and Transformation
      • Cleaning the Crime Dataset👮🏼
      • Cleaning the Weather Dataset🌦️
    • Data Visualization
      • Crime Rate Over Time
      • Crime Types
    • Grouping and Merging Data
    • Linear Regression
    • Impress us!
    • Internship Complete!
  • Advanced
    • Introduction
    • K-Means Clustering
      • The Clustering Model
      • Visualize the clusters
    • Impress us!
  • ✅Exercise Checklist
  • Legal Disclaimer
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  1. What’s Data Science and How Do I Do It?

Python Overview

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Last updated 6 months ago

Python is a dynamic programming language. You can execute the code in the interpreter, so you do not have to compile the code first. This feature makes Python very easy and quick to use. The excellent usability, easy readability, and simple structuring were and still are core ideas in developing this programming language.

You can use Python to program according to any paradigm, whereby structured and object-oriented programming is most straightforward due to the structure of the language. Still, functional or aspect-oriented programming is also possible. These options give users significant freedom to design projects the way they want and great space to write code that is difficult to understand and confusing. For this reason, programmers developed specific standards based on the so-called Python Enhancement Proposals (PEP) over the decades.

Helpful Links

Official Tutorials/Documentation:

Further Explanations:

🐍
https://docs.python.org/3/tutorial/index.html
https://jupyter.org/documentation
https://pythonprogramming.net/
https://automatetheboringstuff.com/
https://www.reddit.com/r/learnpython
https://www.datacamp.com/community/tutorials/tutorial-jupyter-notebook