2.8 List Methods

Duration: 4 min

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Module outline

  1. About the course: About the Course
  2. Mathematical Aptitude: Number System, HCF LCM, Divisibility Rules, Percentage, Ratio and Proportion (Ratios), Average, Profit and Loss, Time and Work, Mensuration and Geometry, Simple Interest and Compound Interest, Speed Time and Distance, Age Problems, Mixture and Alligation, Algebra, Powers and Exponents (Surds and Indices), Pipe and Cistern, Trigonometry, Statistics, Data Interpretation, Arithmetic
  3. Logical Reasoning: Series (Number and Letter Series) (Numerical Relations and Reasoning), Coding Decoding, Analogy, Blood Relations, Directions (Direction Test), Ranking, Order and Sequence, Non Verbal Reasoning (Spatial Aptitude) (Spatial Reasoning) (Visual Reasoning), Seating Arrangements, Syllogisms, Venn Diagram, Puzzle Solving (Puzzles), Logical Sequence Of Words, Deductive and Inductive Reasoning (Logical Deduction and Induction) (Prepositional Reasoning), Analytical Reasoning (Counting Figures Reasoning), Cubes & Dices, Calendar, Clock
  4. General Knowledge: Physics, Chemistry, Biology, History, Geography, Polity, Indian Economy, GK- Current Affairs, Static General Knowledge
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  6. Environmental Science: Environment
  7. Unit 1 | Digital Electronics: Digital Systems & Boolean Basics, Logic Gates & Hardware, Boolean Expression, Boolean Minimization, Combinational Circuit, Sequential Circuits, Number System, Number Representation
  8. Unit 2 | COA: Basics of COA, Floating Point Rep, Cache Memory Organization, Input Output Organisation, Instr Formats & Modes, Control Unit Design, Register Transfer and Microoperations, Programming the Basic Computer
  9. Unit 3 | C Programming: C Fundamentals, Control Flow, Functions, Arrays & Pointers, Storage Classes, Structures & Enums, DMA, Macros, Scoping & File Handling
  10. Unit 3 | Data Structures: Introduction to DS, Array, Stack, Queue, Linked List, Tree, Graphs, Hashing
  11. Unit 4 | Algorithms: Algorithm Analysis, Time Complexity Analysis, Sorting Algorithms, Dynamic Programming, Minimum Spanning Trees, Shortest Path Algos, Advanced Algorithms
  12. Unit 5 | Operating System: Introduction to OS, Process Management, CPU Scheduling, Process Synchronization, Threads & Process Creation, Deadlock, Memory Management, Virtual Memory, Disc Scheduling, File Management
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  14. Unit 7 | Computer Networks: Introduction to CN, Data Communication, 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, Application Layer
  15. Unit 8 | Software Engineering: Fundamentals of Software Engineering, Software Requirements and Quality Assurance, Software Design, Estimation and Metrics, Software Testing, Software Maintenance and Configuration Management
  16. Unit 9 | Object Oriented Programming: OOPS with C++
  17. Unit 10 | Web Development: HTML Basics, CSS, JavaScript-Basics, XML
  18. Unit 11 | 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
  19. Unit 12 | IoT: Emerging Tech Trends, Cloud Computing
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  22. Unit 15 | Multimedia: Multimedia
  23. Unit 16 | Python: Introduction to Python, Tokens, Variables, Data Types, I/O, Operators & Expressions, Control Flow & Looping, Collections & Strings, Functions & Modules, File Handling & Data Analysis, DSA using Python
  24. Full Length Mock Tests — General Paper:
  25. Full Length Mock Tests — Computer Science (Paper II):
AI summary & chapters

AI Summary

An AI-generated summary of this video lecture.

This video is a Python programming tutorial focused on list methods. The instructor begins by introducing a table of built-in list methods, such as append(), clear(), copy(), count(), extend(), index(), insert(), pop(), remove(), reverse(), and sort(), explaining their functions. The lesson progresses to practical examples, demonstrating the count() method to find the number of occurrences of an element, the index() method to find the first occurrence of an element, and the sort() and reverse() methods to modify the list's order. The instructor uses a digital whiteboard to write code snippets and illustrate the output of these methods, providing a clear, step-by-step guide for students.

Chapters

  1. 0:00 – 2:00 00:00-02:00

    The video opens with a title slide showing 'List Methods' and the Python logo. The instructor introduces the topic, stating that Python has several built-in methods for lists. A table appears on the screen listing the methods and their descriptions. The instructor points to the 'append()' method, explaining it adds an element to the end of the list. He then moves to the 'clear()' method, which removes all elements, and the 'copy()' method, which returns a copy of the list. He continues through the list, explaining 'count()' (returns the number of elements with a specified value), 'extend()' (adds elements from a list or iterable), 'index()' (returns the index of the first element with a specified value), 'insert()' (adds an element at a specified position), 'pop()' (removes the element at a specified position), 'remove()' (removes the item with a specified value), 'reverse()' (reverses the order of the list), and 'sort()' (sorts the list).

  2. 2:00 – 3:44 02:00-03:44

    The instructor transitions to demonstrating the methods with code examples. He first shows the 'count()' method, writing the code `Alpha=['a','b','a','c','d','d']` and `print(Alpha.count('a'))`, explaining it will return the number of times 'a' appears. Next, he demonstrates the 'index()' method with `print(Alpha.index('a'))`, which returns the index of the first 'a'. He then moves to the 'sort & reverse()' section, showing `Alpha.sort()` and `print(Alpha)` to display the sorted list `[a,a,b,c,d,d]`. He then shows `Alpha.reverse()` and `print(Alpha)` to display the reversed list `[d,d,c,b,a,a]`. The video concludes with a 'Thank You...' slide.

The video provides a comprehensive and structured introduction to Python's list methods. It begins with a theoretical overview of the available methods in a clear table format, ensuring students understand the purpose of each function. The lesson then transitions effectively to a practical, hands-on demonstration, using real code examples to show how each method works in a live environment. This progression from theory to practice is highly effective for learning, as it allows students to see the direct application of the concepts. The instructor's clear explanations and the use of a digital whiteboard to write and execute code make the content accessible and easy to follow.

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