Intro to Python for Computer Science and Data Science Learning to Program with AI, Big Data and The Cloud,9780135404676

Intro to Python for Computer Science and Data Science Learning to Program with AI, Big Data and The Cloud

by ;
Edition: 1st
ISBN13: 9780135404676
ISBN10: 0135404673
Format: Paperback
Pub. Date: 2019-02-15
Publisher(s): Pearson
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Summary

 

Author Biography

 

Table of Contents

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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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