Python Programming in Context - Info and Reading Options

Open Data:

Cover -- Title Page -- Copyright Page -- Dedication -- Contents -- Preface -- 1 Introduction to Pythona -- 1.1 Objectives -- 1.2 What Is Computer Science? -- 1.3 Why Study Computer Science? -- 1.3.1 Everyday Applications of Computer Science -- 1.3.2 Why Computer Science Is Important -- 1.4 Problem-Solving Strategies -- 1.5 Python Overview -- 1.5.1 Primitive Elements -- 1.5.2 Naming Objects -- 1.5.3 Abstraction -- 1.5.4 Repetition -- 1.6 Summary -- Key Terms -- Python Keywords -- Programming Exercises -- 2 πthon: Estimating Pi -- 2.1 Objectives -- 2.2 What Is Pi? -- 2.3 More About the math Module -- 2.4 The Archimedes Approach -- 2.4.1 The Python Implementation -- 2.4.2 Developing a Function to Compute Pi -- 2.5 Accumulator Approximations -- 2.5.1 The Accumulator Pattern -- 2.5.2 Summation of Terms: The Leibniz Formula -- 2.5.3 Product of Terms: The Wallis Formula -- 2.6 A Monte Carlo Simulation -- 2.6.1 Boolean Expressions -- 2.6.2 Compound Boolean Expressions and Logical Operators -- 2.6.3 Selection Statements -- 2.6.4 Completing the Implementation -- 2.6.5 Adding Graphics -- 2.7 Summary -- Key Terms -- Python Keywords, Modules and Commands -- Programming Exercises -- 3 Codes and Other Secrets -- 3.1 Objectives -- 3.2 The String Data Type -- 3.2.1 Concatenation -- 3.2.2 Repetition -- 3.2.3 Indexing -- 3.2.4 String Slicing -- 3.2.5 String Searching -- 3.2.6 String Methods -- 3.2.7 Character Functions -- 3.3 Encoding and Decoding Messages -- 3.4 Transposition Cipher -- 3.4.1 Encrypting Using Transposition -- 3.4.2 Decrypting a Transposed Message -- 3.4.3 Asking for Input -- 3.5 Substitution Cipher -- 3.6 Creating a Key -- 3.7 The Vigenère Cipher -- 3.8 Summary -- Key Terms -- New Python Keywords, Functions, and Constants -- Programming Exercises -- 4 Introducing the Python Collections -- 4.1 Objectives -- 4.2 What Is Data?

Search for “Python Programming in Context” downloads:

Visit our Downloads Search page to see if downloads are available.

Find “Python Programming in Context” in Libraries Near You:

Read or borrow “Python Programming in Context” from your local library.

• The WorldCat Libraries Catalog: Find a copy of “Python Programming in Context” at a library near you.