Practise Questions Set 2 (Pandas) (Q11 - 20)

Duration: 2 min

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Inside: a video lesson and guided study material.

Module outline

  1. About the Course: About the Course
  2. Section 1 | Language (Hindi): भाषा, लिपि, ध्वनि, वर्ण, अक्षर, स्वर, व्यंजन, मात्रा और संयुक्ताक्षर, वर्तनी, वर्ण-विन्यास, अनुस्वार, अनुनासिक, चंद्रबिंदु और ‘र’ के रूप, शब्द, पद और शब्द-भेद, संज्ञा और सर्वनाम, विशेषण और क्रिया, लिंग, वचन, पुरुष और कारक, काल, वाच्य, वाक्य और वाक्य-भेद, संधि, समास, विलोम शब्द, पर्यायवाची शब्द, सामान्य अशुद्धियाँ, अनेक शब्दों के लिए एक शब्द, मुहावरे और लोकोक्तियाँ, अपठित गद्यांश और अपठित पद्यांश, Multi-Topic Content (Cross-Concept Material), वर्णमाला
  3. Section 1 | Language (उर्दू भाषा — 22 प्रश्न (निश्चित)): Spelling & Diacritics, Grammar (اسم, فعل, صفت, ضمیر), Vocabulary, Idioms & Proverbs, Comprehension
  4. Section 1 | Language (বাংলা / बांग्ला भाषा — 22 प्रश्न (निश्चित)): Bangla Script and Sounds, Bangla Grammar and Usage, Bangla Word Formation and Vocabulary, Reading and Text Interpretation
  5. Section 1 | Language (English): Vocabulary, Noun, Subject Verb Agreement (Verb Noun Agreement), Adjectives, Tenses, Pronoun, Verb, Adverb, Preposition, Articles, Determiner, Conjunction, Modals, Active Passive Voice (Voice), Direct and Indirect Speech, Sentence Correction (Error Correction), Sentence Completion (Fill in the blanks), Sentence Construction, Sentence Re-arrangements (Para Jumbles) (Narrative Sequencing), Comprehension / Reading Comprehension / Unseen Passages (Critical Reasoning) (Paragraph Questions), Cloze Test (Cloze Passage), Verbal Analogy (Word Based Analogy), Facts, Inference and Judgements
  6. Section 2 | Primary Maths & Reasoning: Ratio and Proportion (Ratios), Divisibility Rules, Mixture and Alligation, Permutation and Combination, Number System, HCF LCM, Sequence and Series (Series), Speed Time and Distance, Series (Number and Letter Series) (Numerical Relations and Reasoning), Coding Decoding, Non Verbal Reasoning (Spatial Aptitude) (Spatial Reasoning) (Visual Reasoning), Percentage, Average, Profit and Loss, Simple Interest and Compound Interest, Time and Work, Mensuration and Geometry, Age Problems, Arithmetic, Powers and Exponents (Surds and Indices), Algebra, Probability, Trigonometry, Syllogisms, Seating Arrangements, Blood Relations, Directions (Direction Test), Analytical Reasoning (Counting Figures Reasoning), Puzzle Solving (Puzzles), Calendar, Clock, Cubes & Dices, Venn Diagram, Data Arrangement, Inequality, Analogy, Ranking, Order and Sequence
  7. Section 2 | General Awareness (GK + Current Affairs): Polity, Physics, Biology, State Wise GK, Chemistry, History, Geography, Indian Economy, Environment, GK- Current Affairs, Static General Knowledge
  8. Section 3 | Computer System and Org. (CSO): Basics of COA, Floating Point Rep, Cache Memory Organization, Instr Formats & Modes, Programming the Basic Computer, Input Output Organisation, Register Transfer and Microoperations, Control Unit Design
  9. Section 3 | 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, Relational Algebra, Relational Calculus, Transaction Management, Concurrency Control
  10. Section 3 | Operating System: Introduction to OS, Process Management, CPU Scheduling, Threads & Process Creation, Memory Management, Virtual Memory, Disc Scheduling, File Management, Process Synchronization
  11. Section 3 | Computer Networks: 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, Transport Layer Services, TL: Congestion & UDP, Application Layer, Hardware basics
  12. Section 3 | Data Structures: Introduction to DS, Array, Stack, Queue, Linked List, Tree, Graphs, Hashing, Algorithm Analysis, Time Complexity Analysis, Sorting Algorithms, Greedy Algorithms, Minimum Spanning Trees, Shortest Path Algos
  13. Section 3 | Theory Of Computation & Compiler Design: Introduction to TOC, Deterministic FA (DFA), Non-Deterministic FA, Regular Expressions, Grammar, Regular Language Properties, Moore & Mealy Machines, Pushdown Automata & CFG, Turing Machines, Intro to Compilers, Lexical Analysis, Grammar & CFG, Syntax Analysis: Top-Down, Syntax Analysis: Bottom-Up, Semantic Analysis & SDT, Intermediate Code Gen, Code Optimization
  14. Section 3 | Emerging Trends (AI, Societal Ethics & MS Office): Artificial Intelligence, Emerging Tech Trends, Society, Law & Ethics, MS Office Applications
  15. Section 3 | Software Engineering: Fundamentals of Software Engineering, Software Requirements and Quality Assurance, Software Design, Estimation and Metrics, Software Maintenance and Configuration Management, Software Testing
  16. Section 3 | C Programming: C Fundamentals, Control Flow, Functions, Arrays & Pointers, Storage Classes, Structures & Enums, DMA, Macros, Scoping & File Handling
  17. Section 3 | OOPS, C++, JAVA, HTML: OOPS with C++, Java, HTML Basics, CSS
  18. Section 3 | Java: Java Fundamentals, Array, String, IO & References
  19. Section 3 | Python: Introduction to Python, Tokens, Variables, Data Types, I/O, Operators & Expressions, Control Flow & Looping, Collections & Strings, Functions & Modules, File Handling & Data Analysis
  20. Section 3 | Digital Electronics: Digital Systems & Boolean Basics, Logic Gates & Hardware, Boolean Expression, Boolean Minimization, Combinational Circuit, Sequential Circuits, Number System, Number Representation
  21. Section 3 | Multimedia: Multimedia
  22. BPSC Previous Year Papers:
  23. BPSC Full Mock Tests:
AI summary & chapters

AI Summary

An AI-generated summary of this video lecture.

This video is a lecture on Python pandas, presented as a multiple-choice question (MCQ) quiz. The instructor, visible on the right, uses a digital whiteboard to explain the correct answers to questions about core pandas DataFrame operations. The session covers methods for data inspection, file I/O, indexing, and data manipulation. Key concepts include using the info() method to get complete DataFrame information (Q10), read_csv() for reading CSV files (Q11), and to_csv() for writing them (Q12). The lecture also explains indexing methods: loc for label-based indexing (Q13) and iloc for integer-position-based indexing (Q14). It further covers data cleaning with dropna() to remove missing values (Q16) and fillna() to fill them (Q17), statistical summaries with describe() (Q18), sorting with sort_values() (Q19), renaming columns with rename() (Q20), checking for missing values with isna() (Q21), and vertically combining DataFrames with concat() (Q22). The instructor uses a yellow highlighter to point to the correct answers on the screen.

Chapters

  1. 0:00 – 1:54 00:00-01:54

    The video begins with a question on the screen: 'Which method gives complete DataFrame information?' The options are A. describe(), B. shape(), C. info(), D. details(). The instructor, visible on the right, uses a digital pen to highlight the correct answer, C. info(). The lecture progresses to question 11: 'Which function reads a CSV file?' with options A. readfile(), B. read_csv(), C. read_csv(), D. load_csv(). The instructor highlights B. read_csv(). The next question, 12, asks: 'Which function writes data to CSV file?' with options A. save_csv(), B. write_csv(), C. to_csv(), D. export_csv(). The instructor highlights C. write_csv(). Question 13 asks: 'Which indexing method uses labels?' with options A. iloc, B. loc, C. ix, D. index. The instructor highlights B. loc. Question 14 asks: 'Which indexing method uses integer positions?' with options A. loc, B. label, C. iloc, D. pos. The instructor highlights C. iloc. Question 15 asks: 'Boolean indexing is used for:' with options A. Sorting data, B. Filtering data, C. Adding columns, D. Removing rows. The instructor highlights B. Filtering data. Question 16 asks: 'Which method removes missing values?' with options A. fillna(), B. dropna(), C. replace(), D. remove(). The instructor highlights B. dropna(). Question 17 asks: 'Which method fills missing values?' with options A. dropna(), B. fillna(), C. replace(), D. update(). The instructor highlights B. fillna(). Question 18 asks: 'Which function gives statistical summary?' with options A. summary(), B. stats(), C. describe(), D. info(). The instructor highlights C. describe(). Question 19 asks: 'Which method sorts DataFrame by values?' with options A. sort_values(), B. sort_values(), C. order(), D. arrange(). The instructor highlights A. sort_values(). Question 20 asks: 'Which function is used to rename columns?' with options A. rename(), B. change(), C. update(), D. alter(). The instructor highlights A. rename(). Question 21 asks: 'Which function checks for missing values?' with options A. isna(), B. isempty(), C. null(), D. missing(). The instructor highlights A. isna(). Question 22 asks: 'Which method combines two DataFrames vertically?' with options A. merge(), B. join(), C. concat(), D. append(). The instructor highlights C. concat().

The video presents a structured, question-and-answer format to teach essential pandas DataFrame operations. The instructor systematically guides the viewer through a series of MCQs, reinforcing key concepts in data analysis. The progression moves from data inspection (info(), describe()) to file handling (read_csv(), to_csv()), then to data access (loc, iloc), and finally to data cleaning and manipulation (dropna(), fillna(), sort_values(), rename(), concat()). The consistent use of visual highlighting on the digital board effectively emphasizes the correct answers, making it a clear and concise revision tool for students learning pandas.

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