2.7 Nested List

Duration: 4 min

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Inside: a video lesson and guided study material.

Module outline

  1. HPSC Interview Preparation: Interview Preparation
  2. Python Language: 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
  3. Data Structure & Algorithms: Introduction to DS, Array, Stack, Queue, Linked List, Tree, Graphs, Hashing, Algorithm Analysis, Sorting Algorithms, Minimum Spanning Trees, Time Complexity Analysis, Graph Theory, Shortest Path Algos
  4. Computer Networks: Introduction to CN, Data Communication, DLL: Access Control, DLL: Flow Control, Data Link Layer - Ethernet, Net Layer: IPv4 & Proto, Net Layer: IP Addressing, Transport Layer Services, TL: Congestion & UDP, Application Layer, Hardware basics, Network Security
  5. Computer System & Organisation: Basics of COA, Cache Memory Organization, Input Output Organisation, Pipelining, Instr Formats & Modes, Control Unit Design, Programming the Basic Computer
  6. Database Management System: Basics of DBMS, ER Diagram, Relational Model & Functional Dependencies, Keys & Integrity Constraints, Normalization (1NF - BCNF), Decomposition Properties & 4NF, SQL, File Organization & Indexing, Transaction Management, Concurrency Control
  7. Operating Systems: Introduction to OS, Process Management, CPU Scheduling, Process Synchronization, Deadlock, Threads & Process Creation, Memory Management, Virtual Memory, Disc Scheduling
  8. Digital Logic & Circuits: Digital Systems & Boolean Basics, Logic Gates & Hardware, Boolean Expression, Boolean Minimization, Combinational Circuit, Sequential Circuits, Number System, Number Representation
  9. Theory Of Computation: Introduction to TOC, Deterministic FA (DFA), Non-Deterministic FA, Regular Expressions, Grammar, Regular Language Properties, Pushdown Automata & CFG, Turing Machines, Moore & Mealy Machines
  10. 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
  11. Software Engineering: Fundamentals of Software Engineering, Software Requirements and Quality Assurance, Software Design, Estimation and Metrics, Software Testing, Software Maintenance and Configuration Management, Data Warehousing & Mining
  12. Introduction to Emerging Trends: Emerging Tech Trends
  13. Digital Society & Cyber Law: Society, Law & Ethics
  14. HPSC PGT Previous Year Paper:
  15. HPSC Assistant Professor Previous Year Paper:
  16. Live Sessions: HPSC Live Sessions, EMRS TGT/PGT Live Class
  17. Full Mock Test:
  18. HPSC PGT - MOCK Test Series:
AI summary & chapters

AI Summary

An AI-generated summary of this video lecture.

This video is a Python programming tutorial that explains the concept of nested lists. The instructor begins by defining nested lists as a way to store multiple sublists within a single list, providing the syntax `List_name=[[item-1,item-2],[item-3,item-4],......,item-n]` and an example `Student=[['Allen','Bob','Jhon','Jerry'],[21,19,24],[7.5,8.0,8.5,7.6]]`. The lecture then transitions to a new topic, 'Nested Lists Indexing & Slicing', where the syntax for accessing data is shown as `list_name[startindex:endindex][,][,]`. The instructor uses a diagram to illustrate positive and negative indexing for a list `nlist=[['a','b','c'],[65,66,67]]`, showing that the first sublist contains elements 'a', 'b', 'c' with positive indices 0, 1, 2 and negative indices -3, -2, -1, and the second sublist contains numbers 65, 66, 67 with positive indices 0, 1, 2 and negative indices -3, -2, -1.

Chapters

  1. 0:00 – 2:00 00:00-02:00

    The video starts with a title slide for 'Nested Lists'. The instructor, standing in front of a screen, introduces the topic. The slide defines nested lists as a way to store multiple sublists in a single list. It provides the syntax `List_name=[[item-1,item-2],[item-3,item-4],......,item-n]` and an example `Student=[['Allen','Bob','Jhon','Jerry'],[21,19,24],[7.5,8.0,8.5,7.6]]`. The instructor then begins to write a new example on the screen, `L=[[1,2,3],[4,5,6]]`, to demonstrate the concept of a nested list with two sublists.

  2. 2:00 – 4:04 02:00-04:04

    The instructor transitions to a new slide titled 'Nested Lists Indexing & Slicing'. The slide explains that indexing and slicing are ways to access data items from a list, with the syntax `list_name[startindex:endindex][,][,]`. It clarifies that the slice includes the start index but excludes the end index. The instructor then presents a diagram for a list `nlist=[['a','b','c'],[65,66,67]]`. The diagram visually represents the positive indices (0, 1, 2) and negative indices (-3, -2, -1) for both sublists, with the first sublist containing 'a', 'b', 'c' and the second containing 65, 66, 67. The instructor points to the diagram while explaining the indexing system.

The video provides a structured lesson on Python's nested lists. It first establishes the definition and syntax for creating a nested list, using a clear example. The lesson then progresses to the practical application of accessing data within these structures through indexing and slicing. The use of a visual diagram to explain positive and negative indexing for a two-level list effectively demonstrates the hierarchical nature of the data structure, which is fundamental for understanding how to manipulate complex data in Python.

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