Python Data Basics

Python Data Processing

Introduction
Author: Weimao Ke
Python and Jupyter Setup
Jupyter Notebook Guide
Python Programming

Python Input and Output (IO)
Python Selection Structure
Python with Randomness
Python Repetition Structure

Python Data Basics

Python Data Types
Python Data Structures
Python File Processing
Working with JSON
Working with JSON APIs

Databases and Stores

Relational Database and SQL
SQLite
SQLite with Python
NoSQL Data Processing
Python NoSQL Processing

Data Science Theories

Data Mining
Getting to Know Your Data
Set, Vector, and Similarity
Outliers in the Data
Text Vectorization

Machine Learning Models

Basic Classification Models
Linear Classification Models
Non-Linear Classification Models
Probabilistic Text Classification
Reinforcement Learning

Demos, Examples and Exercises

Outliers vs the NORMAL
Demo: Text Vectorization
Python Data Preprocessing
Association Rule Mining
Probability and Linearity in Data
Cluster Analysis
Special Features in Notebook

Python Problems

INFO 153 Assignment 1 (10 points)
INFO 153 Assignment 2 (10 points)
INFO 153 Assignment 3 (10 points)
INFO 634 Assigment 1 (12 points)
INFO 634 Assigment 2 (12 points)
INFO 634 Project Abstract
INFO 634 Assignment 3 (12 points)

Weimao Ke (2020)

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Python Data Basics

This chapter covers Python data types, data structures, file access, and basic processes for data processing.

〈 Python Repetition Structure Python Data Types 〉

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