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CONTENTS
CONTENTS
Unit I: Data Handling using Pandas-I
1. Data Handling using Pandas 1
1.1 Series 1.2 Indexing and Slicing
1.3 Typecasting 1.4 Using Dictionary to Create Series Object
1.5 Operations on Series Objects
2. Data Handling using Pandas DataFrame 30
2.1 Pandas DataFrame 2.2 Creation of Pandas Dataframe
2.3 Reading from csv File 2.4 Dimensions of a DataFrame
2.5 Summary Information about a DataFrame 2.6 Retrieving Subset of Data - Indexing and Slicing
2.7 Descriptive Statistics 2.8 Data Manipulation
2.9 Writing to csv file 2.10 Grouping and Aggregation
3. Data Visualization 90
3.1 Displaying the line graph 3.2 Bar Graph
3.3 Histogram
Unit II: Database Query using SQL
4. Database Query using SQL 124
4.1 Database Management System (DBMS)
4.2 Relational Data Model
4.3 Structured Query Language (SQL)
4.4 SQL Statements and Functions
5. SQL: Working with Two Tables 187
5.1 Referential Integrity
Unit III: Introduction to Computer Networks
6. Computer Networks 221
6.1 Components of a Computer Network
6.2 Evolution of Networking
6.3 Network Topologies
6.4 Network Types
6.5 Network Devices
(xi)

