Informatics Practices with Python: Textbook for CBSE Class 12 (2024-25 Examination)

Informatics Practices with Python (065) for Class XII fully meets the latest syllabus requirements and strictly adheres to guidelines laid down by the CBSE. This thoroughly revised book deals with detailed concepts of Python Pandas, Data Visualization, Computer Networks, Relational Database Management System (SQL) and Societal Impacts. Python is a popular Object-Oriented Programming Language used both for stand- alone programs and scripting applications in a variety of domains. This book adopts a contemporary approach to the most popular Python library, Pandas, with emphasis on principles of effective and good programming, such as clarity, readability and efficiency in program design. Thus, an interactive programming style has been emphasized and expressed throughout the book. The hallmark of this book is that it teaches Python Pandas concepts in detail as well as usage of several other Python libraries, such as plotting graphs and charts using Matplotlib. With easy-to-understand examples, practical implementations and other tools, students will learn how to create and implement Pandas Series and Dataframe and perform data manipulation and analysis using advanced associated operations. In this book, there are ample case studies available to help students understand the basic concepts of Computer Networks with a student-centred approach. The text of the book is conveyed in a friendly and easy-to-comprehend language. The book includes concise and practical example programs, complemented by diagrams and real-life application illustrations. Each chapter includes thoroughly tested, debugged and error-free code accompanied by screenshots. Based on the CBSE curriculum, the book has been divided into four units: Unit I: Data Handling using Pandas and Data Visualization – Chapters 1 and 2 This unit contains two chapters covering fundamentals of Pandas including Series and Dataframe. Advanced concepts of Pandas such as importing/exporting data between CSV files and Dataframes