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3 Python Basics??? Working with Data and Variables??? BANA 4080: Introduction to Data Mining with Python
5+ day, 12+ hour ago (1598+ words) If you’re new to Python or programming in general, welcome—you’re in the right place. This chapter is where we start turning ideas into code. Just like learning a new language starts with learning a few key words and phrases,…...
10 Manipulating Data??? BANA 4080: Introduction to Data Mining with Python
5+ day, 12+ hour ago (1727+ words) “During the course of doing data analysis and modeling, a significant amount of time is spent on data preparation: loading, cleaning, transforming, and rearranging. Such tasks are often reported to take up 80% or more of an analyst’s time.” — Wes McKinney,…...
Module 1: Getting Started??? BANA 4080: Introduction to Data Mining with Python
5+ day, 12+ hour ago (128+ words) Module 1: Getting Started – BANA 4080: Introduction to Data Mining with Python bradleyboehmke.github.io This module introduces the course, the tools, and the Python foundations you’ll use throughout the semester. By the end of Week 1, you’ll have a working Python environment,…...
14 Advanced Data Visualization??? BANA 4080: Introduction to Data Mining with Python
5+ day, 16+ hour ago (1669+ words) This is exactly where the broader Python visualization ecosystem comes in. Python’s visualization ecosystem is rich. The PyViz project maintains a helpful landscape overview of the many available tools. Three libraries stand out for the most common needs you will…...
6 Packages, Libraries, and Modules??? BANA 4080: Introduction to Data Mining with Python
5+ day, 12+ hour ago (1711+ words) As a data scientist, you won’t be writing every piece of code from scratch. Python’s true power comes from its ecosystem of packages, libraries, and modules that extend its core functionality. These tools allow you to analyze data, build machine…...
18 Writing Your Own Functions??? BANA 4080: Introduction to Data Mining with Python
5+ day, 12+ hour ago (1773+ words) Have you ever found yourself repeating the same lines of code again and again? What if you could bundle up those repeated actions and give them a name—something you could reuse whenever needed? This is what functions let you…...
Module 2: Python Data Science Ecosystem – BANA 4080: Introduction to Data Mining with Python
5+ day, 20+ hour ago (119+ words) bradleyboehmke.github.io This module covers the tools and structures at the heart of Python data science: Jupyter notebooks as your working environment, Python’s built-in data structures, and the package ecosystem that powers everything else. By the end of Week…...
Module 6: Creating Efficient Code??? BANA 4080: Introduction to Data Mining with Python
5+ day, 12+ hour ago (100+ words) Module 6: Creating Efficient Code – BANA 4080: Introduction to Data Mining with Python bradleyboehmke.github.io This module covers the programming skills that turn one-off scripts into reusable, maintainable workflows. You’ll learn to control program flow with conditions and loops, and to…...
41 Module 8 Cheat Sheet??? BANA 4080: Introduction to Data Mining with Python
5+ day, 12+ hour ago (207+ words) Key concepts, definitions, and code from Chapters 19–20 A quick-reference summary of the essential ideas from Module 8. Click any section heading to jump to the full coverage in the book. Artificial Intelligence (AI) is the broad goal of making machines perform…...
38 Module 4 Cheat Sheet??? BANA 4080: Introduction to Data Mining with Python
5+ day, 12+ hour ago (126+ words) Key concepts, definitions, and code from Chapters 10–12 A quick-reference summary of the essential ideas from Module 4. Click any section heading to jump to the full coverage in the book. Summary functions collapse a column (or DataFrame) into one or more…...