Informatics Practices with Python: Textbook for CBSE Class 11 (2021-22 Session)

This book, Informatics Practices with Python for Class XI (065), has been prepared in accordance with the latest syllabus. The book focuses on teaching Python language to help students learn programming concepts and develop problem-solving skills and RDBMS operations. With easy-to-understand examples, self-explanatory diagrams and other such tools, The student learns to design the logic for a program and then implement that program using Python. In addition, the book contains ample concise and practical example programs along with diagrams and instances from real-life situations. Each br>Chapter consists of tested, debugged and error-free codes with screenshots. Ctm (commit to memory), learning tips and points to Remember for easy recall of important terms and concepts are other notable features of the book. Strictly adhering to the CBSE curriculum and guidelines, The book has been divided into five units: br>Unit I: introduction to Computer system (br>Chapter 1) Introduction to Computer and computing: evolution of computing devices; components of a computer system and their interconnections; input/output devices; concept of computer memory, units of memory, types of memory—primary and secondary; data deletion, its recovery and related security concerns; software: purpose and types—system and application software, generic and specific-purpose software. Br>unit II: introduction to Python (chapters 2 to 6) Basics of Python programming; Python interpreter—interactive and script mode; structure of a program, indentation; process of writing a program, running it and print statements; simple data types; tokens—keywords, identifies, constants, variables; operators—types of operators, precedence of operators; conditional statements, br>looping constructs, sequence data types—lists and dictionaries. Br>unit III: data Handling using NumPy (chapters 7 & 8) Data and its purpose; importance of data; structured and unstructured data; data processing cycle; basic statistical methods for understanding data—mean, median, mode, variance and standard deviation. Introduction to NumPy library; NumPy arrays and their advantages; creation of NumPy arrays; indexing, Slicing and iteration; concatenating and splitting array; Arithmetic operations on one-dimensional and two-dimensional arrays; calculating Max, min, count, sum, mean, median, mode, variance, standard deviation, on NumPy arrays. Br>unit IV: database concepts and SQL (chapters 9 & 10) Introduction to database concepts and the need for database, database management system. Relational data model: concept of domain, tuple, attribute, relation, candidate key, primary key, alternate key, foreign key; advantages of using structured query language, data definition language, data query language and data manipulation language; introduction to MySQL, creating a database using MySQL; data types; data definition: create table, drop table, alter table; data query: select, from, where; data manipulation: insert, update, delete br>Unit V: introduction to emerging trends (br>Chapter 11) artificial intelligence; machine learning; natural language processing; immersive experience (AR, VR); robotics; big data and its characteristics; Internet of Things (IoT); wot; sensors; smart cities; cloud computing and cloud services (SA as, I A as, PaaS); grid computing and block chain technology. The book includes three appendices containing a sample Question Paper (Solved) based on the Board Sample Paper, a model Test Paper for practice and ample viva voce questions. Besides, presentation on Python, Chapter-wise program codes, practical file, Sample Question papers, model test papers and Python software dump are available online and can be accessed at sultan-chand.Com/Ws/IPP11.