Intro to Python for Computer Science and Data Science Learning to Program with AI, Big Data and The Cloud
by Deitel, Paul; Deitel, Harvey M.-
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Summary
Author Biography
Table of Contents
PART 1
CS: Python Fundamentals Quickstart
CS 1. Introduction to Computers and Python
DS Intro: A Brief Tour of Data Science and Artificial Intelligence
CS 2. Introduction to Python Programming
DS Intro: Basic Descriptive Stats
CS 3. Control Statements; Program Development
DS Intro: Measures of Central Tendency—Mean, Median, Mode
CS 4. Functions
DS Intro: Basic Statistics— Measures of Dispersion
CS 5. Lists and Tuples
DS Intro: Simulation and Static Visualization
PART 2
CS: Python Data Structures, Strings and Files
CS 6. Dictionaries and Sets
DS Intro: Simulation and Dynamic Visualization
CS 7. Array-Oriented Programming: High-Performance NumPy Arrays
DS Intro: Pandas Series and DataFrames
CS 8. Strings: A Deeper Look; Regular Expressions
DS Intro: Pandas, Regular Expressions and Data Wrangling
CS 9. Files and Exceptions
DS Intro: Loading Datasets from CSV Files into Pandas DataFrames
PART 3
CS: Python High-End Topics
CS 10. Object-Oriented Programming
DS Intro: Time Series and Simple Linear Regression
CS 11. tkinter Graphical User Interfaces
CS 12. Computer Science Thinking: Recursion, Searching, Sorting and Big O
CS Other Topics Blog
PART 4
AI, Cloud and Big Data Case Studies
DS 13. Natural Language Processing (NLP), Web Scraping (in exercises)
DS 14. Data Mining Twitter®: Sentiment Analysis, JSON and Web Services
DS 15. IBM® Watson™ and Cognitive Computing
DS 16. Machine Learning: Classification, Regression and Clustering
DS 17. Deep Learning and Reinforcement Learning
DS 18. Big Data: Hadoop®, Spark™, NoSQL and IoT
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