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Python programming

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This Python Programming course is designed to provide a comprehensive introduction to the fundamentals of Python, a versatile and widely-used programming language. Python’s simplicity and readability make it a great language for beginners while offering robust tools and libraries for advanced tasks such as web development, data analysis, machine learning, and automation. This course will cover basic syntax, data structures, object-oriented programming, and explore some of the key libraries and frameworks in Python.

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, CONTENTS




PREFACE xxii

Part I BASICS 1

1 INTRODUCTION TO DATABASE SYSTEMS 3
1.1 Overview 4
1.2 A Historical Perspective 5
1.3 File Systems versus a DBMS 7
1.4 Advantages of a DBMS 8
1.5 Describing and Storing Data in a DBMS 9
1.5.1 The Relational Model 10
1.5.2 Levels of Abstraction in a DBMS 11
1.5.3 Data Independence 14
1.6 Queries in a DBMS 15
1.7 Transaction Management 15
1.7.1 Concurrent Execution of Transactions 16
1.7.2 Incomplete Transactions and System Crashes 17
1.7.3 Points to Note 18
1.8 Structure of a DBMS 18
1.9 People Who Deal with Databases 20
1.10 Points to Review 21


2 THE ENTITY-RELATIONSHIP MODEL 24
2.1 Overview of Database Design 24
2.1.1 Beyond the ER Model 25
2.2 Entities, Attributes, and Entity Sets 26
2.3 Relationships and Relationship Sets 27
2.4 Additional Features of the ER Model 30
2.4.1 Key Constraints 30
2.4.2 Participation Constraints 32
2.4.3 Weak Entities 33
2.4.4 Class Hierarchies 35
2.4.5 Aggregation 37


vii

,viii Database Management Systems

2.5 Conceptual Database Design With the ER Model 38
2.5.1 Entity versus Attribute 39
2.5.2 Entity versus Relationship 40
2.5.3 Binary versus Ternary Relationships * 41
2.5.4 Aggregation versus Ternary Relationships * 43
2.6 Conceptual Design for Large Enterprises * 44
2.7 Points to Review 45


3 THE RELATIONAL MODEL 51
3.1 Introduction to the Relational Model 52
3.1.1 Creating and Modifying Relations Using SQL-92 55
3.2 Integrity Constraints over Relations 56
3.2.1 Key Constraints 57
3.2.2 Foreign Key Constraints 59
3.2.3 General Constraints 61
3.3 Enforcing Integrity Constraints 62
3.4 Querying Relational Data 64
3.5 Logical Database Design: ER to Relational 66
3.5.1 Entity Sets to Tables 67
3.5.2 Relationship Sets (without Constraints) to Tables 67
3.5.3 Translating Relationship Sets with Key Constraints 69
3.5.4 Translating Relationship Sets with Participation Constraints 71
3.5.5 Translating Weak Entity Sets 73
3.5.6 Translating Class Hierarchies 74
3.5.7 Translating ER Diagrams with Aggregation 75
3.5.8 ER to Relational: Additional Examples * 76
3.6 Introduction to Views 78
3.6.1 Views, Data Independence, Security 79
3.6.2 Updates on Views 79
3.7 Destroying/Altering Tables and Views 82
3.8 Points to Review 83


Part II RELATIONAL QUERIES 89

4 RELATIONAL ALGEBRA AND CALCULUS 91
4.1 Preliminaries 91
4.2 Relational Algebra 92
4.2.1 Selection and Projection 93
4.2.2 Set Operations 94
4.2.3 Renaming 96
4.2.4 Joins 97
4.2.5 Division 99
4.2.6 More Examples of Relational Algebra Queries 100

, Contents ix

4.3 Relational Calculus 106
4.3.1 Tuple Relational Calculus 107
4.3.2 Domain Relational Calculus 111
4.4 Expressive Power of Algebra and Calculus * 114
4.5 Points to Review 115


5 SQL: QUERIES, PROGRAMMING, TRIGGERS 119
5.1 About the Examples 121
5.2 The Form of a Basic SQL Query 121
5.2.1 Examples of Basic SQL Queries 126
5.2.2 Expressions and Strings in the SELECT Command 127
5.3 UNION, INTERSECT, and EXCEPT 129
5.4 Nested Queries 132
5.4.1 Introduction to Nested Queries 132
5.4.2 Correlated Nested Queries 134
5.4.3 Set-Comparison Operators 135
5.4.4 More Examples of Nested Queries 136
5.5 Aggregate Operators 138
5.5.1 The GROUP BY and HAVING Clauses 140
5.5.2 More Examples of Aggregate Queries 143
5.6 Null Values * 147
5.6.1 Comparisons Using Null Values 147
5.6.2 Logical Connectives AND, OR, and NOT 148
5.6.3 Impact on SQL Constructs 148
5.6.4 Outer Joins 149
5.6.5 Disallowing Null Values 150
5.7 Embedded SQL * 150
5.7.1 Declaring Variables and Exceptions 151
5.7.2 Embedding SQL Statements 152
5.8 Cursors * 153
5.8.1 Basic Cursor Definition and Usage 153
5.8.2 Properties of Cursors 155
5.9 Dynamic SQL * 156
5.10 ODBC and JDBC * 157
5.10.1 Architecture 158
5.10.2 An Example Using JDBC 159
5.11 Complex Integrity Constraints in SQL-92 * 161
5.11.1 Constraints over a Single Table 161
5.11.2 Domain Constraints 162
5.11.3 Assertions: ICs over Several Tables 163
5.12 Triggers and Active Databases 164
5.12.1 Examples of Triggers in SQL 165
5.13 Designing Active Databases 166
5.13.1 Why Triggers Can Be Hard to Understand 167

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