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1 Introduction to Computers and Python Objectives In this chapter you’ll: ■Understand the strengths of Python and other leading programming languages. ■Understand the importance of libraries. ■Be introduced to key Python and data-science libraries you’ll use in this book. ■Test-drive […]

Chapter 1, Introduction to Computers and Python 1 Introduction to Computers and Python 1.1 Introduction 1.1 Q1: Which of the following statements is false? a. Software (that is, the Python instructions you write, which are also called code) controls hardware […]

Chapter 10, Object-Oriented Programming 15 10.8.1 Base Class CommissionEmployee No questions. 10.8.2 Subclass SalariedCommissionEmployee 10.8 Q2: Which of the following statements is false? a. Python provides two built-in functions—issubclass and isinstance—for testing “is a” relationships. b. Function issubclass determines whether […]

Chapter 10, Object-Oriented Programming 1 Object-Oriented Programming 10.1 Introduction 10.1 Q1: Which of the following statements a), b) or c) is false? a. Everything in Python is an object. b. Just as houses are built from blueprints, classes are built […]

Chapter 11, Computer Science Thinking: Recursion, Searching, Sorting and Big O 1 Computer Science Thinking: Recursion, Searching, Sorting and Big O 11.1 Introduction 11.1 Q1: Which of the following statements a), b) or c) is false? a. Recursive functions (or […]

Chapter 12: Natural Language Processing 1 Natural Language Processing (NLP) 12.1 Introduction 12.1 Q1: In the field of NLP, a text collection is generally known as a ________. a. corpus b. compilation c. book d. volume Answer: a. 12.1 Q2: […]

Chapter 13, Data Mining Twitter 1 Data Mining Twitter 13.1 Introduction 13.1 Q1: Which of the following statements is false? a. Data mining is the process of searching through large collections of data, often big data, to find insights that […]

Chapter 14: IBM Watson and Cognitive Computing 1 IBM Watson and Cognitive Computing 14.1 Introduction: IBM Watson and Cognitive Computing 14.1 Q1: Which of the following statements a), b) or c) is false? a. To beat the two best human […]

Chapter 15, Machine Learning: Classification, Regression and Clustering 1 Machine Learning: Classification, Regression and Clustering 15.1 Introduction to Machine Learning 15.1 Q1: Which of the following statements a), b) or c) is false? a. We can make machines learn. b. […]

Chapter 15, Machine Learning: Classification, Regression and Clustering 15 a. The k in the k-nearest neighbors algorithm is a hyperparameter of the algo- rithm. b. Hyperparameters are set after using the algorithm to train your model. c. In real-world machine […]

18 Chapter 16, Deep Learning ================================================================= conv2d_1 (Conv2D) (None, 26, 26, 64) 640 _________________________________________________________________ max_pooling2d_1 (MaxPooling2 (None, 13, 13, 64) 0 _________________________________________________________________ conv2d_2 (Conv2D) (None, 11, 11, 128) 73856 _________________________________________________________________ max_pooling2d_2 (MaxPooling2 (None, 5, 5, 128) 0 _________________________________________________________________ flatten_1 (Flatten) […]

Chapter 16, Deep Learning 1 Deep Learning 16.1 Introduction 16.1 Q1: Which of the following statements is false? a. Keras offers a friendly interface to Google’s TensorFlow—the most widely used deep-learning library. b. François Chollet of the Google Mind team […]

Chapter 17, Big Data: Hadoop, Spark, NoSQL and IoT 1 Big Data: Hadoop, Spark, NoSQL and IoT 17.1 Introduction 17.1 Q1: Which of the following statements is false? a. Databases are critical big-data infrastructure for storing and manipulating the massive […]

16 Chapter 17, Big Data: Hadoop, Spark, NoSQL and IoT value pairs. The reduction step then combines those tuples to produce the results of the MapReduce task. 17.5 Q5: Which of the following statements about MapReduce is false a. In […]

2 Introduction to Python Programming Objectives In this chapter, you’ll: ■Use arithmetic operators and comparison operators, and understand their precedence. ■Use single-, double- and triple- quoted strings. ■Use built-in function print to display text. ■Use built-in function input to prompt […]

Chapter 2: Introduction to Python Programming 1 Introduction to Python Programming 2.1 Introduction No questions. 2.2 Variables and Assignment Statements 2.2 Q1: Which of the following statements is false? a. Variables store values for later use in your code. b. […]

Chapter 3: Control Statements and Program Development 1 Control Statements and Program Development 3.1 Introduction No questions. 3.2 Algorithms 3.2 Q1: Which of the following statements a), b) or c) is false? a. You can solve any computing problem by […]

3 Control Statements and Program Development Objectives In this chapter, you’ll: the built-in range function to repeat actions for a sequence of values. ■Perform sentinel-controlled iteration with while. ■Learn problem-solving skills: understanding problem requirements, dividing problems into smaller pieces, developing […]

Chapter 4: Functions 1 Functions 4.1 Introduction 4.1 Q1: Which of the following statements is false? a. Experience has shown that the best way to develop and maintain a large pro- gram is to construct it from a small number […]

4Functions Objectives In this chapter, you’ll ■Create custom functions. generation. ■Seed the random number generator to ensure reproducibility. ■Pack values into a tuple and unpack values from a tuple. ■Return multiple values from a function via a tuple. ■Understand how […]

2Sequences: Lists and Tuples Note: Throughout the Instructor Solutions Manual, solutions are not provided for project, research and challenge exercises—many of which are substantial and appropriate for term projects, directed-study projects, capstone-course projects and thesis topics. Before assign– ing a […]

Chapter 5, Sequences: Lists and Tuples 1 Sequences: Lists and Tuples 5.1 Introduction 5.1 Q1: Which of the following statements is false? a. Collections are prepackaged data structures consisting of related data items. b. Examples of collections include your favorite […]

6Dictionaries and Sets Objectives In this chapter, you’ll: ■Use dictionaries to represent pairs. ■Add, remove and update a dictionary’s key–value pairs. ■Use dictionary and set comparison operators. ■Combine sets with set operators and methods. ■Use operators in and not in […]

Chapter 6: Dictionaries and Sets 1 Dictionaries and Sets 6.1 Introduction 6.1 Q1: Which of the following statements is false? a. Lists and tuples are built-in sequence collections. b. Dictionaries, strings and sets are built-in non-sequence collections. c. A dictionary […]

Chapter 7: Array-Oriented Programming with Num 1 Array-Oriented Programming with NumPy 7.1 Introduction 7.1 Q1: Which of the following statements is false? a. The NumPy (Numerical Python) library is the preferred Python array imple- mentation—it offers a high-performance, richly functional […]

Chapter 8, Strings: A Deeper Look 1 Strings: A Deeper Look 8.1 Introduction 8.1 Q1: Which of the following statements a), b) or c) is false? a. Strings support many of the same sequence operations as sets, lists and tuples. […]

Chapter 9: Files and Exceptions 1 Files and Exceptions 9.1 Introduction 9.1 Q1: Which of the following statements a), b) or c) is false? a. Variables, lists, tuples, dictionaries, sets, arrays, pandas Series and pandas DataFrames offer long-term data storage. […]