This examination for Python Programming (B.Tech Semester III) is of three hours duration and carries a total of 70 marks. The question paper is systematically divided into three sections, and students are required to attempt all sections as instructed. Overall, the paper evaluates the student’s ability to understand Python programming concepts, write code, analyse output, handle files, create visualizations, work with data structures, and apply Python in practical scenarios.
The first section, Section A, contains short and direct questions that test fundamental understanding. Students must answer all seven questions in brief. The questions touch upon essential topics such as the way Python handles exceptions, the output of simple list comprehension programs, the idea behind floor division, and the purpose of the ‘with’ statement in file handling. The section also checks the student’s awareness of lambda functions, how a single value can be assigned to a tuple, and why NumPy is preferred for mathematical computations compared to regular Python arrays. This section focuses on conceptual clarity and ensures that the student understands the basics that form the foundation of more advanced programming tasks.
Section B moves into applied and descriptive questions. Out of five questions provided, students must attempt any three. These questions require writing programs and explaining concepts in detail. Students may be asked to design a basic calculator capable of performing arithmetic operations, differentiate between membership and identity operators using examples, write a function to count character frequencies in a string and return a dictionary, or write a program to reverse file content. Additionally, this section may ask students to create visualizations such as a pie chart using the matplotlib library. This entire portion examines the student’s ability to design and analyse Python code in a logical and structured way.
The last section, Section C, contains long-answer questions that require deeper reasoning and more comprehensive solutions. Each set consists of two optional questions, and the student chooses one question from every set. These questions involve writing explanatory notes, validating email addresses using regular expressions, generating pattern designs such as a hollow pyramid, explaining looping concepts including break and continue, finding the longest word in a list, distinguishing between tuples and lists with examples, and demonstrating dictionary methods. Furthermore, students may be required to explain file modes, read from CSV files, calculate values, handle Tkinter events, or compute average marks from CSV records. This section is designed to evaluate the student’s ability to apply Python in real-world programming tasks, demonstrating both conceptual understanding and practical coding skills.
In summary, the question paper thoroughly assesses the student’s proficiency in Python by combining theoretical questions, practical programming tasks, file and data handling operations, visualization, regular expressions, and GUI-based event handling. The gradual progression from foundational concepts in Section A to highly applied coding scenarios in Section C ensures a balanced and comprehensive evaluation of Python programming knowledge.
