Practise Questions Set 2 (Pandas) (Q21 - 30)

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.

The video is a lecture on Pandas, a Python library for data analysis, presented as a multiple-choice question (MCQ) quiz. The instructor, a man in a dark blue shirt, stands in front of a screen displaying the questions and uses a pen to highlight the correct answers. The session covers fundamental Pandas operations, including renaming columns with the 'rename()' function (Q20), checking for missing values with 'isna()' (Q21), combining DataFrames vertically using 'concat()' (Q22), merging DataFrames with a key using 'merge()' (Q23), identifying the Series object as having both index and values (Q24), finding the total number of elements in a DataFrame with the 'size' attribute (Q25), converting a dictionary to a DataFrame with 'pd.DataFrame()' (Q26), removing duplicate rows with 'drop_duplicates()' (Q27), getting unique values with 'unique()' (Q28), grouping data with 'groupby()' (Q29), and identifying NumPy as the required library for numerical operations (Q30). The instructor provides the correct answers to each question as the video progresses.

Chapters

  1. 0:00 – 2:00 00:00-02:00

    The video begins with a multiple-choice question (Q20) asking which function is used to rename columns. The options are A. rename(), B. change(), C. update(), and D. alter(). The instructor, visible on the right, uses a pen to point to the screen and then circles the correct answer, A. rename(). The next question (Q21) asks which function checks for missing values, with options A. isna(), B. isempty(), C. null(), and D. missing(). The instructor again points to the screen and circles the correct answer, A. isna(). The third question (Q22) asks which method combines two DataFrames vertically, with options A. merge(), B. join(), C. concat(), and D. append(). The instructor circles the correct answer, C. concat(). The fourth question (Q23) asks which method merges DataFrames using a key, with options A. join(), B. concat(), C. merge(), and D. combine(). The instructor circles the correct answer, C. merge(). The fifth question (Q24) asks which Pandas object has both index and values, with options A. List, B. Tuple, C. Series, and D. Dictionary. The instructor circles the correct answer, C. Series. The sixth question (Q25) asks which attribute gives the total elements in a DataFrame, with options A. size, B. shape, C. count, and D. len. The instructor circles the correct answer, A. size.

  2. 2:00 – 2:25 02:00-02:25

    The video continues with the next question (Q26), which asks which function converts a dictionary to a DataFrame. The options are A. pd.dict(), B. pd.DataFrame(), C. pd.Series(), and D. pd.create(). The instructor points to the screen and circles the correct answer, B. pd.DataFrame(). The next question (Q27) asks which method removes duplicate rows, with options A. drop_duplicates(), B. drop(), C. remove(), and D. delete(). The instructor circles the correct answer, A. drop_duplicates(). The following question (Q28) asks which method returns unique values, with options A. distinct(), B. unique(), C. values(), and D. only(). The instructor circles the correct answer, B. unique(). The final question (Q29) asks which Pandas function is used for grouping data, with options A. group(), B. groupby(), C. cluster(), and D. split(). The instructor circles the correct answer, B. groupby(). The last question (Q30) asks which library is required along with Pandas for numerical operations, with options A. Matplotlib, B. SciPy, C. NumPy, and D. Seaborn. The instructor circles the correct answer, C. NumPy.

The video presents a structured, question-and-answer format to review key Pandas functions and concepts. The instructor systematically works through a series of MCQs, providing immediate feedback by circling the correct answer. The progression covers a logical sequence of data manipulation tasks: from basic data structure operations (renaming, checking for missing values) to more complex data manipulation (combining, merging, grouping). The final question about NumPy highlights the foundational role of this library in enabling the numerical computations that Pandas is built upon, reinforcing the interconnectedness of the Python data science ecosystem.

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