Functional Programming

Duration: 8 min

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Inside: a video lesson and guided study material.

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, Number System & Place Value, Factors, Multiples, Divisibility, HCF & LCM, Coordinates & Graphs, Higher Mathematics — Trigonometry, Quadratics, Polynomials, Progressions, Statistics, Logarithms
  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
  6. Paper-1 & 2 | Decision Making and Problem Solving: Selection Decision Table (Decision Making)
  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, Marketing and Consumer Studies, कंप्यूटर नेटवर्क / Computer Networks
  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
  24. Live Sessions: RSSB Live Sessions
  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 video is a lecture on programming paradigms, focusing on functional programming. The instructor begins by defining functional programming as a paradigm that treats computation as the evaluation of mathematical functions and avoids state changes and mutable data, contrasting it with imperative programming. The lecture then explores the historical context, noting that LISP was the first operational functional language. It further discusses the modern applications of functional programming in industry, particularly in domain-specific languages like R for statistics, Mathematica for symbolic math, and F# for financial analysis. The video concludes by explaining the concept of evaluation strategies, differentiating between eager (strict) evaluation, where arguments are fully evaluated before a function call, and lazy evaluation, where arguments are only evaluated when their values are needed. The final topic covered is type inference, which is the ability of a language to automatically deduce the data types of expressions.

Chapters

  1. 0:00 – 2:00 00:00-02:00

    The lecture begins with a definition of functional programming, presented on a slide. The instructor explains that it is a programming paradigm that treats computation as the evaluation of mathematical functions and avoids state changes and mutable data. This is contrasted with imperative programming, which emphasizes changes in state. The instructor then writes on the slide, listing other programming paradigms such as procedural, logic, and declarative, and begins to discuss the concept of 'eager' evaluation, which is the full evaluation of function arguments before invoking a function.

  2. 2:00 – 5:00 02:00-05:00

    The instructor continues to elaborate on the definition of functional programming, emphasizing its core principles. The slide text is visible, stating that functional programming avoids state changes and mutable data. The instructor then transitions to the historical context, mentioning that LISP was the first operational functional programming language. The slide also notes that functional programming has not been very popular except for a restricted number of application areas, such as artificial intelligence. The instructor writes 'Value of variable' on the slide, likely to illustrate a concept related to state.

  3. 5:00 – 8:02 05:00-08:02

    The lecture moves to the applications of functional programming in industry. The slide lists domain-specific languages like R (statistics), Mathematica (symbolic math), and F# (financial analysis). The instructor then explains the concept of evaluation strategies, differentiating between 'eager' (strict) evaluation, where function arguments are fully evaluated before the function is called, and 'lazy' evaluation, where arguments are only evaluated when their values are required. The final topic is 'type inference', defined as the ability to automatically deduce the type of values manipulated by a program, a feature found in strongly statically typed languages. The instructor writes 'Type inference' and 'implicit typing' on the slide to reinforce the concept.

The video provides a comprehensive overview of functional programming, starting with its foundational definition and contrasting it with imperative programming. It then traces the history of the paradigm, highlighting LISP as a pioneering language. The lecture effectively connects the theoretical concepts to real-world applications by discussing modern domain-specific languages. The final segment on evaluation strategies and type inference adds a layer of technical depth, explaining how functional languages manage computation and data types, providing a well-rounded introduction to the topic.

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