IC01 - LICENTIATE - Principles of Insurance
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Mock Tests : 47 -
Chapter Tests : 10 -
Notes : 9
“Computer Science with Python” by Sumita Arora is a textbook designed for Class 11 students in the Indian CBSE curriculum. It introduces fundamental programming concepts using Python and ties them to the broader computer‑science syllabus (algorithms, data structures, problem‑solving techniques, and basic theory).
The book is frequently sought as a for offline study, especially on portable devices such as tablets or e‑readers. Below is a concise guide covering the book’s structure, key topics, and safe ways to obtain a portable copy. 1. Book Structure | Part | Chapters (Typical) | Core Themes | |------|--------------------|-------------| | Foundations | 1‑3 | Introduction to computers, binary numbers, basic algorithms, flowcharts | | Python Basics | 4‑7 | Variables, data types, operators, input/output, control statements | | Data Structures | 8‑11 | Lists, tuples, dictionaries, sets, basic operations | | Functions & Modules | 12‑14 | Defining functions, recursion, scope, standard libraries | | File Handling | 15‑16 | Reading/writing text and binary files, exception handling | | Object‑Oriented Programming | 17‑20 | Classes, objects, inheritance, polymorphism, encapsulation | | Advanced Topics | 21‑23 | Sorting/searching algorithms, basic graph theory, introduction to recursion and backtracking | | Practical Projects | 24‑26 | Mini‑projects (e.g., calculator, simple game, data‑analysis script) |
“Computer Science with Python” by Sumita Arora is a textbook designed for Class 11 students in the Indian CBSE curriculum. It introduces fundamental programming concepts using Python and ties them to the broader computer‑science syllabus (algorithms, data structures, problem‑solving techniques, and basic theory).
The book is frequently sought as a for offline study, especially on portable devices such as tablets or e‑readers. Below is a concise guide covering the book’s structure, key topics, and safe ways to obtain a portable copy. 1. Book Structure | Part | Chapters (Typical) | Core Themes | |------|--------------------|-------------| | Foundations | 1‑3 | Introduction to computers, binary numbers, basic algorithms, flowcharts | | Python Basics | 4‑7 | Variables, data types, operators, input/output, control statements | | Data Structures | 8‑11 | Lists, tuples, dictionaries, sets, basic operations | | Functions & Modules | 12‑14 | Defining functions, recursion, scope, standard libraries | | File Handling | 15‑16 | Reading/writing text and binary files, exception handling | | Object‑Oriented Programming | 17‑20 | Classes, objects, inheritance, polymorphism, encapsulation | | Advanced Topics | 21‑23 | Sorting/searching algorithms, basic graph theory, introduction to recursion and backtracking | | Practical Projects | 24‑26 | Mini‑projects (e.g., calculator, simple game, data‑analysis script) | “Computer Science with Python” by Sumita Arora is