4.4 Tuple Methods and Built in Functions

Duration: 3 min

This video lesson is available to enrolled students.

Return to /learn/MPPSC-ASSISTANT-PROFESSOR-COMPUTER-SCIENCE-PAPER-2/python/collections-strings/tuples/asset-44-tuple-methods-and-built-in-functions after enrolling

Inside: a video lesson and guided study material.

Module outline

  1. About Course: About the Course
  2. Paper 1 | General Studies: State Wise GK
  3. Paper 1 | Information and Communication Technology: Role of Internet and Web Services, Security in Mobile and Wireless Computing
  4. Paper 1 | Current Affairs: GK- Current Affairs
  5. Paper 2 | Discrete Mathematical Structure: Digital Systems & Boolean Basics, Logic Gates & Hardware, Boolean Expression, Boolean Minimization, Set Theory, Relations, Functions, Graph Theory, Group Theory, Propositional and Predicate Logic, Probability
  6. Paper 2 | Digital Computer Organization And Architecture: Number System, Number Representation, Sequential Circuits, Combinational Circuit, Basics of COA, Floating Point Rep, Cache Memory Organization, Input Output Organisation, Pipelining, Instr Formats & Modes, Register Transfer and Microoperations, Control Unit Design, Programming the Basic Computer
  7. Paper 2 | C Programming: C Fundamentals, Control Flow, Functions, Arrays & Pointers, Storage Classes, Structures & Enums, DMA, Macros, Scoping & File Handling
  8. Paper 2 | Programming Languages & Object-Oriented Programming Concepts: Java, OOPS with C++, Java Fundamentals, Array, String, IO & References
  9. 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
  10. Paper 2 | Data Structure And Algorithms: Introduction to DS, Array, Stack, Queue, Linked List, Tree, Graphs, Hashing, Algorithm Analysis, Time Complexity Analysis, Sorting Algorithms, Greedy Algorithms, Minimum Spanning Trees, Advanced Algorithms
  11. Paper 2 | Operating System: Introduction to OS, Process Management, CPU Scheduling, Process Synchronization, Deadlock, Threads & Process Creation, Memory Management, Virtual Memory, Disc Scheduling, File Management, Unix OS
  12. Paper 2 | Theory Of Computation: Introduction to TOC, Deterministic FA (DFA), Non-Deterministic FA, Regular Expressions, Grammar, Regular Language Properties, Moore & Mealy Machines, Pushdown Automata & CFG, Turing Machines, Complexity Theory
  13. Paper 2 | Compiler Design: Intro to Compilers, Lexical Analysis, Grammar & CFG, Syntax Analysis: Top-Down, Syntax Analysis: Bottom-Up, Semantic Analysis & SDT, Intermediate Code Gen, Code Optimization, Run Time Environment
  14. 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, Transaction Management, Concurrency Control, Database Recovery, Database Security & Authorization, Enhanced Data Models
  15. Paper 2 | Computer Network And Information Security: Introduction to CN, Data Communication, Application Layer, Hardware basics, Cyber Threats and Malware Attacks, Network Security, DLL: Access Control, DLL: Flow Control, DLL: Error Control, DLL: Framing, Data Link Layer - Ethernet, Net Layer: IPv4 & Proto, Net Layer: IP Addressing, Net Layer:Routing Protocol, Transport Layer Services, TL: Congestion & UDP
  16. Paper 2 | Software Engineering: Fundamentals of Software Engineering, Software Requirements and Quality Assurance, Software Design, Estimation and Metrics, Software Testing, Software Maintenance and Configuration Management
  17. Paper 2 | Current Trends & Technologies: Emerging Tech Trends, Approaches to AI, Search Algorithms, Game Playing, Knowledge Representation, Planning, Multi Agent Systems, Fuzzy Sets, Natural Language Processing, Artificial Neural Networks, Genetic Algorithms, Artificial Intelligence, Data Warehousing & Mining, Electronic Data Interchange and E-Commerce, Terms & Abbreviations
  18. Paper 2 | Full Length Mock Tests:
AI summary & chapters

AI Summary

An AI-generated summary of this video lecture.

This video is a Python programming tutorial focusing on tuple methods and built-in functions. The instructor begins by introducing the topic with a slide titled 'Tuple Methods and Build in Functions'. The first section covers two tuple methods: count() and index(). An example is demonstrated where a tuple t = (1, 2, 2, 3) is created, and the count() method is used to find the number of occurrences of the value 2, which is shown to be 2. The index() method is then introduced to find the first occurrence of a value, with the example t.index(1) returning 0. The second section transitions to 'Built-in Functions', listing len(), max(), min(), and sum(). The instructor provides a practical example using the tuple t = (10, 20, 30) to demonstrate each function: len(t) returns 3, max(t) returns 30, min(t) returns 10, and sum(t) returns 60. The video concludes with a 'Thank You...' message on the screen.

Chapters

  1. 0:00 – 2:00 00:00-02:00

    The video opens with a title slide for a Python lecture, showing the Python logo and the title 'Tuple Methods and Build in Functions'. The instructor, a man in a black polo shirt, stands in front of a digital blackboard. He transitions to a new slide titled 'Tuple Methods' which lists the methods count() and index(). He then begins to write an example on the board, creating a tuple t = (1, 2, 2, 3) in green ink. He proceeds to write the code 'print(t.count(2))' and explains that this will count the number of times the value 2 appears in the tuple. He draws a green arrow from the number 2 in the tuple to the result, indicating the count is 2. He then writes 'print(t.index(1))' to demonstrate the index() method, which finds the first position of a value, and explains that it will return 0 for the value 1.

  2. 2:00 – 2:50 02:00-02:50

    The instructor transitions to a new slide titled 'Built-in Functions'. He lists the functions len(), max(), min(), and sum(). He then writes a new tuple t = (10, 20, 30) on the board. He demonstrates each function with this tuple: 'print(len(t))' which returns 3, 'print(max(t))' which returns 30, 'print(min(t))' which returns 10, and 'print(sum(t))' which returns 60. He explains the purpose of each function as he writes the code. The video concludes with the instructor turning to the side as the screen displays a 'Thank You...' message.

The video provides a clear, step-by-step tutorial on essential Python tuple operations. It begins by introducing the two primary methods for tuples, count() and index(), using a concrete example to illustrate their functionality. The lesson then logically progresses to the most common built-in functions for tuples, demonstrating their use with a different example. This structured approach, combining on-screen code writing with verbal explanation, effectively teaches the core concepts of tuple manipulation in Python.

Loading lesson…