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 Course: About the Course
  2. Section A: General Awareness: Polity, Physics, Biology, Chemistry, Static General Knowledge, History, Geography, Indian Economy, GK- Current Affairs, Evolution of Indian Banking (Banking & Financial Awareness), Environment
  3. Section A: General Intelligence & Reasoning ability: Series (Number and Letter Series) (Numerical Relations and Reasoning), Coding Decoding, Data Sufficiency, Non Verbal Reasoning (Spatial Aptitude) (Spatial Reasoning) (Visual Reasoning), Analytical Reasoning (Counting Figures Reasoning), Blood Relations, Syllogisms, Deductive and Inductive Reasoning (Logical Deduction and Induction) (Prepositional Reasoning), Seating Arrangements, Directions (Direction Test), Puzzle Solving (Puzzles), Calendar, Clock, Cubes & Dices, Selection Decision Table (Decision Making), Logical Sequence Of Words, Crypt Arithmetic, Venn Diagram, Data Arrangement, Inequality, Analogy, Ranking, Order and Sequence, TCS NQT Advanced Reasoning Ability
  4. Section A: Arithmetical & Numerical Ability: Ratio and Proportion (Ratios), Divisibility Rules, Data Interpretation, Mixture and Alligation, Permutation and Combination, Logarithm, Number System, HCF LCM, Sequence and Series (Series), Speed Time and Distance, Percentage, Average, Profit and Loss, Simple Interest and Compound Interest, Time and Work, Pipe and Cistern, Mensuration and Geometry, Powers and Exponents (Surds and Indices), Algebra, Probability, Mental Ability, Age Problems, Partnership, Statistics, Arithmetic, Speed Mathematics and Basic Mathematics, Miscellaneous
  5. Section A: English Language & Comprehension: Vocabulary, Subject Verb Agreement (Verb Noun Agreement), Adjectives, Tenses, Comprehension / Reading Comprehension / Unseen Passages (Critical Reasoning) (Paragraph Questions), Articles, Sentence Construction, Preposition, Direct and Indirect Speech, Sentence Completion (Fill in the blanks), Sentence Re-arrangements (Para Jumbles) (Narrative Sequencing), Modals, Active Passive Voice (Voice), Sentence Correction (Error Correction), Adverb, Conjunction, Cloze Test (Cloze Passage)
  6. Section A: Hindi Language & Comprehension: 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
  7. Section B: Programming, Data Structures, OOP & Java: C Fundamentals, Control Flow, Functions, Arrays & Pointers, Storage Classes, Structures & Enums, DMA, Macros, Scoping & File Handling, Introduction to DS, Array, Stack, Queue, Linked List, Tree, Graphs, Hashing, Java, OOPS with C++, Language Design, Intro to Compilers, Visual Basics, Syntax Analysis: Bottom-Up, Object Oriented Technology
  8. Section B: Computer Networks, TCP/IP & Network Security: Introduction to CN, Data Communication, DLL: Flow Control, DLL: Access 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, Network Access Technologies, Network Security, Society, Law & Ethics, Mobile Computing, Net Layer:Routing Protocol, Cyber Safety and Security
  9. Section B: Teaching Methodology: Child Development, Concept of Pedagogy, Theories, Inclusive Education, Experiential Pedagogy, Assessment & Evaluation, Curriculum Framework & Reforms, National Education Policy (NEP) 2020, Psychology, Teaching-Learning Process, Personality Development, Teaching Methods & Strategies, Learning and Motivation, Learners & Learning Process, Factors Affecting Teaching, Methods of Teaching, Nature, Objectives & Characteristics of Teaching, Teaching-Learning Aids & ICT Integration, Classroom Management & Communication, Evaluation, Assessment & Measurement, Curriculum & School Environment, Inclusive Education & Special Needs, Professional Development & Ethics
  10. Section B: Digital Electronics / Boolean Logic: Digital Systems & Boolean Basics, Logic Gates & Hardware, Boolean Expression, Boolean Minimization, Combinational Circuit, Sequential Circuits, Number System, Number Representation, Analog-Digital Conversion
  11. Section B: Operating Systems & Linux: Introduction to OS, Process Management, CPU Scheduling, Process Synchronization, Threads & Process Creation, Deadlock, Memory Management, Virtual Memory, File Management, Disc Scheduling, Unix OS, Linux OS, Distributed Systems, Windows OS
  12. Section B: Data Base Management System: Basics of DBMS, ER Diagram, Relational Model & Functional Dependencies, Keys & Integrity Constraints, Normalization (1NF - BCNF), Decomposition Properties & 4NF, Relational Algebra, SQL, File Organization & Indexing, Transaction Management, Concurrency Control, Database Security & Authorization, Database Recovery, Data Warehousing & Mining
  13. Section B: Internet & Web Technologies: Website, Browser & Services, Internet Fundamentals, Web Design & Development, Protocols & Services, Web Publishing & Hosting, Server Side & Security, HTML Basics, CSS, Emerging Technologies, JavaScript-Basics, .Net Programming, Electronic Data Interchange and E-Commerce, XML
  14. Section B: Computer Fundamentals, IT Basics & Architecture: Basics of COA, Cache Memory Organization, Input Output Organisation, Register Transfer and Microoperations, Control Unit Design, Programming the Basic Computer, Terms & Abbreviations, MS Office Applications, Instr Formats & Modes, Floating Point Rep
  15. Section B: Python Language: Introduction to Python, Tokens, Variables, Data Types, I/O, Operators & Expressions, Control Flow & Looping, Collections & Strings, Functions & Modules, File Handling & Data Analysis
  16. Section B: Software Engineering: Fundamentals of Software Engineering, Software Requirements and Quality Assurance, Software Design, Estimation and Metrics, Software Testing, Software Maintenance and Configuration Management, extras, Fundamentals of Systems and Information Systems
  17. Section B: Design & Analysis of Algorithms: Algorithm Analysis, Time Complexity Analysis, Sorting Algorithms, Greedy Algorithms, Dynamic Programming, Minimum Spanning Trees, Shortest Path Algos, Advanced Algorithms
  18. Section B: Mathematics: Linear Algebra, Calculus, Trigonometry, Vectors, Set Theory, Functions, Relations, Propositional and Predicate Logic, Research Process Steps, Graph Theory
  19. Section B: Computer Graphics, Multimedia & Mobile Computing: Basics of Computer Graphics, 2-D Geometrical Transforms and Viewing, 3-D Object Representation, Geometric Transformations and Viewing, Multimedia
  20. Section B: Emerging Trends: Emerging Tech Trends, Knowledge Representation, Natural Language Processing
  21. DSSSB Previous Year Paper:
  22. Business Studies and Management: Business Communication, Business Organization and Management, Financial Accounting, Business Economics, Management Information System (MIS), Knowledge Management & New Economy
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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