2.8 List Methods
Duration: 4 min
This video lesson is available to enrolled students.
Inside: a video lesson and guided study material.
Module outline
- About the Course: About the Course
- 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
- Paper-1 & 2 | Data Interpretation: Data Interpretation
- Paper-1 & 2 | General Mental Ability: Mental Ability, RSSB Specific Videos - Mental Ability
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- Paper-1 | General Science: Physics, Biology, Chemistry, RSSB Specific Videos
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- Paper-2 | Fundamentals of Computer: Basics of COA, Number System, Floating Point Rep, Number Representation
- Paper - 2 | Digital Logic Systems: Digital Systems & Boolean Basics, Logic Gates & Hardware, Boolean Expression, Boolean Minimization, Combinational Circuit, Sequential Circuits
- 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
- 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
- Paper-2 | Data Structures: Introduction to DS, Array, Stack, Queue, Linked List, Tree, Graphs, Hashing
- Paper-2 | C Programming: C Fundamentals, Control Flow, Functions, Arrays & Pointers, Storage Classes, Structures & Enums, DMA, Macros, Scoping & File Handling
- Paper 2 | Oops, C++, Java: Language Design, OOPS with C++, Java, .Net Programming, Java Fundamentals
- 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
- Paper 2 | Emerging Trends and AI: Emerging Tech Trends, Artificial Intelligence
- Paper-2 | Algorithms: Algorithm Analysis, Time Complexity Analysis, Sorting Algorithms, Greedy Algorithms, Advanced Algorithms
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- 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
- Paper-2 | Computer Organization and Architecture: Cache Memory Organization, Input Output Organisation, Instr Formats & Modes, Control Unit Design, Register Transfer and Microoperations
- Paper-2 | Web Development: JavaScript-Basics, HTML Basics, CSS, XML
- Pedagogy: Child Development, Concept of Pedagogy, Psychology, Theories, Inclusive Education, Experiential Pedagogy, Curriculum Framework & Reforms, National Education Policy (NEP) 2020
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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
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).
2:00 – 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.