13.3 sort() and sorted() function

Duration: 5 min

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Module outline

  1. About the Course: About the Course
  2. Paper-1 & 2 | Basic Numeracy: Ratio and Proportion (Ratios), Divisibility Rules, Mixture and Alligation, Permutation and Combination, Logarithm, Number System, HCF LCM, Sequence and Series (Series), Speed Time and Distance, Percentage, Average, Mensuration and Geometry, Age Problems, Arithmetic, Statistics, Probability, Profit and Loss, Simple Interest and Compound Interest, Partnership, Speed Mathematics and Basic Mathematics, Algebra, Powers and Exponents (Surds and Indices), Time and Work, Pipe and Cistern, RSSB Specific Videos - Basic Numeracy
  3. Paper-1 & 2 | Data Interpretation: Data Interpretation
  4. Paper-1 & 2 | General Mental Ability: Mental Ability, RSSB Specific Videos - Mental Ability
  5. Paper-1 & 2 | Logical Reasoning and Analytical Ability: Series (Number and Letter Series) (Numerical Relations and Reasoning), Coding Decoding, Data Sufficiency, Non Verbal Reasoning (Spatial Aptitude) (Spatial Reasoning) (Visual Reasoning), Syllogisms, Seating Arrangements, Blood Relations, Directions (Direction Test), Analytical Reasoning (Counting Figures Reasoning), Puzzle Solving (Puzzles), Calendar, Clock, Cubes & Dices, Venn Diagram, Analogy, Ranking, Order and Sequence, Deductive and Inductive Reasoning (Logical Deduction and Induction) (Prepositional Reasoning), Data Arrangement, Logical Sequence Of Words, Crypt Arithmetic
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  7. Paper-1 | General Science: Physics, Biology, Chemistry, RSSB Specific Videos
  8. Paper-1 | General Awareness: State Wise GK, GK- Current Affairs
  9. Paper-2 | Fundamentals of Computer: Basics of COA, Number System, Floating Point Rep, Number Representation
  10. Paper - 2 | Digital Logic Systems: Digital Systems & Boolean Basics, Logic Gates & Hardware, Boolean Expression, Boolean Minimization, Combinational Circuit, Sequential Circuits
  11. Paper-2 | Operating Systems: Introduction to OS, Process Management, CPU Scheduling, Process Synchronization, Deadlock, Threads & Process Creation, Memory Management, Virtual Memory, Disc Scheduling, File Management, Linux OS, Distributed Systems
  12. Paper-2 | Database Management System: Basics of DBMS, ER Diagram, Relational Model & Functional Dependencies, Keys & Integrity Constraints, Normalization (1NF - BCNF), Decomposition Properties & 4NF, Relational Algebra, SQL, Relational Calculus, File Organization & Indexing, Transaction Management, Concurrency Control
  13. Paper-2 | Data Structures: Introduction to DS, Array, Stack, Queue, Linked List, Tree, Graphs, Hashing
  14. Paper-2 | C Programming: C Fundamentals, Control Flow, Functions, Arrays & Pointers, Storage Classes, Structures & Enums, DMA, Macros, Scoping & File Handling
  15. Paper 2 | Oops, C++, Java: Language Design, OOPS with C++, Java, .Net Programming, Java Fundamentals
  16. Paper 2 | Python: Introduction to Python, Tokens, Variables, Data Types, I/O, Operators & Expressions, Control Flow & Looping, Collections & Strings, Functions & Modules, File Handling & Data Analysis
  17. Paper 2 | Emerging Trends and AI: Emerging Tech Trends, Artificial Intelligence
  18. Paper-2 | Algorithms: Algorithm Analysis, Time Complexity Analysis, Sorting Algorithms, Greedy Algorithms, Advanced Algorithms
  19. Paper 2 | Data Communication and Network Security: Introduction to CN, Data Communication, DLL: Access Control, DLL: Flow Control, DLL: Error Control, Data Link Layer - Ethernet, Net Layer: IPv4 & Proto, Net Layer: IP Addressing, Net Layer:Routing Protocol, Transport Layer Services, TL: Congestion & UDP, Application Layer, Hardware basics, Network Security, Ethical Hacking
  20. Paper-2 I Software Engineering: Fundamentals of Software Engineering, Software Requirements and Quality Assurance, Software Design, Estimation and Metrics, Software Testing, Software Maintenance and Configuration Management
  21. Paper-2 | Computer Organization and Architecture: Cache Memory Organization, Input Output Organisation, Instr Formats & Modes, Control Unit Design, Register Transfer and Microoperations
  22. Paper-2 | Web Development: JavaScript-Basics, HTML Basics, CSS, XML
  23. Pedagogy: Child Development, Concept of Pedagogy, Psychology, Theories, Inclusive Education, Experiential Pedagogy, Curriculum Framework & Reforms, National Education Policy (NEP) 2020
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  25. RSSB Paper 1 - Full Mock Tests:
  26. RSSB Paper 2 - Full Mock Tests:
  27. SCI Previous Year Papers:
AI summary & chapters

AI Summary

An AI-generated summary of this video lecture.

This educational video provides a comprehensive comparison of two Python sorting methods: the list method `sort()` and the built-in function `sorted()`. The lecture begins by introducing the `sort()` method, defining it as a list method that modifies the original list in-place and sorts elements in ascending order by default. The instructor demonstrates this with a code example using a list of numbers, showing the original list being altered. The video then transitions to the `sorted()` function, explaining that it returns a new sorted list without modifying the original, and can work on any iterable, including tuples and strings. A code example demonstrates sorting a tuple, which requires converting the result back to a tuple. The lesson concludes with a summary table that contrasts the two methods on key features such as type, return value, and the data they work on, emphasizing that `sort()` is a method for lists only, while `sorted()` is a versatile function for any iterable.

Chapters

  1. 0:00 – 2:00 00:00-02:00

    The video opens with a title slide showing the text 'sort(), sort()'. The instructor then introduces the 'sort() - List Method' on a digital blackboard. The slide provides a definition: 'sort() is a list method', 'It modifies the original list', and 'Sorts elements in ascending order by default'. The instructor explains these points, emphasizing that the method changes the original list. The on-screen text clearly states that the method modifies the original list, which is a key characteristic being taught.

  2. 2:00 – 4:46 02:00-04:46

    The instructor transitions to the 'sorted() - Built-in Function' slide. The slide lists its features: it returns a new sorted list, the original list remains unchanged, and it works on any iterable (list, tuple, string). The instructor demonstrates this with a code example: `numbers = [40, 10, 30, 20]`, `new_list = sorted(numbers)`, `print(new_list)`, `print(numbers)`. The on-screen text shows the output `[10, 20, 30, 40]` for the new list and `[40, 10, 30, 20]` for the original, visually confirming the non-destructive nature of `sorted()`. The video then shows an example of sorting a tuple `t = (5, 2, 9, 1)`, with the code `print(sorted(t))` and the output `[1, 2, 5, 9]`, illustrating that `sorted()` can handle tuples. The final slide presents a comparison table, summarizing that `sort()` is a list method that modifies the original list and returns `None`, while `sorted()` is a built-in function that returns a new list and works on any iterable.

The video systematically teaches the difference between Python's `sort()` method and `sorted()` function. It first establishes that `sort()` is a method that operates directly on a list, modifying it in-place, which is useful when the original order is not needed. It then introduces `sorted()` as a more flexible, non-destructive function that creates a new list, preserving the original. The core lesson is the trade-off: use `sort()` for efficiency when you want to change the original list, and use `sorted()` when you need to keep the original data intact or when working with non-list iterables. The comparison table at the end effectively consolidates these key differences for the learner.

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