Introduction to Data Structure with Python
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The document discusses the fundamental concepts of data structures, defining them as models used to organize data in memory. It emphasizes the importance of learning data structures and algorithms for effective programming and problem-solving, and classifies data structures into primitive and non-primitive types. Additionally, it explains that primitive data structures include basic data types like integers and booleans, while non-primitive structures are derived from them and can be either linear or non-linear.
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Google Document: https://docs.google.com/document/d/1BU4ZHW_41XJm2lvTq9pWYUpZILAEmF9dWEw7-DBbWoE
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Google Slides: https://docs.google.com/presentation/d/1uF8q6ueJWcAnhKTQsZxLE0Bo9PwgRNwCeuGV_ZgbSyU
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Impurities of Water and their Significance.pptx
Impurities of Water and their Significance.pptxdhanashree78 Impart Taste, Odour, Colour, and Turbidity to water.
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This is the third version of this presentation focused on more detail explaining inline, crossinline, tailrec and as a bonus a quick run through unnamed classes.
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Introduction to Data Structure with Python
- 1. 4331601 Data Structure with Python Prof. Arvind Meniya UNIT 1 Basic Concept of Data Structure
- 2. Definition: “Data Structure is a logical or Mathematical model which is used to organized the data in a memory” Data Structures are the main part of many Computer Science Algorithms as they allow the programmers to manage the data in an effective way. Data Structures support different methods to organize, manage, and store data efficiently. Data Structures provide Efficiency, Reusability, and Abstraction. What is Data Structure?
- 3. Data Structures allow us to organize and store data, whereas Algorithms allow us to process that data meaningfully. Learning Data Structures and Algorithms will help us become better Programmers. We will be able to write code that is more effective and reliable. We will also be able to solve problems more quickly and efficiently. Why should we need to learn Data Structure?
- 4. Data Structures allow us to organize and store data, whereas Algorithms allow us to process that data meaningfully. Learning Data Structures and Algorithms will help us become better Programmers. We will be able to write code that is more effective and reliable. We will also be able to solve problems more quickly and efficiently. Why should we need to learn Data Structure?
- 5. A Data Structure delivers a structured set of variables related to each other in various ways. It forms the basis of a programming tool that signifies the relationship between the data elements and allows programmers to process the data efficiently. We can classify Data Structures into two categories: Primitive Data Structure Non-Primitive Data Structure Classifications of Data Structure
- 7. Primitive Data Structures Primitive Data Structures are the data structures consisting of the numbers and the characters that come in-built into programs. These data structures can be manipulated or operated directly by machine-level instructions. Basic data types like Integer, Float, Character, and Boolean come under the Primitive Data Structures. These data types are also called Simple data types,. Classifications of Data Structure
- 8. Non-Primitive Data Structures Non-Primitive Data Structures are those data structures derived from Primitive Data Structures. These data structures can't be manipulated or operated directly by machine-level instructions. The focus of these data structures is on forming a set of data elements that is either homogeneous (same data type) or heterogeneous (different data types). Based on the structure and arrangement of data, we can divide these data structures into two sub-categories - Linear Data Structures Non-Linear Data Structures Classifications of Data Structure