Python Engineering Quiz: Focus on Basics and Data Manipulation

Study Notes

Python Engineering Question Paper: Focus on Python Basics

Python Syntax and Foundational Concepts

Correct Syntax for Printing "Hello World": print("Hello World")

Python's standard GUI library is Tkinter (not TensorFlow UserInterface).
Python Variables: Variables should not be reserved words, such as print or list.
Data Structures: Python's built-in data types include lists, tuples, dictionaries, and sets.

Python Syntax Errors vs. Runtime Errors

Syntax errors occur during the compilation phase, while runtime errors occur during execution.

Python Libraries and Modules

Standard Library: math, sys, random
Most Popular Third-Party Libraries: NumPy, Pandas, Matplotlib

Basic Control Flow Statements

if, elif, else
for, while, break, continue, pass, jump (goto is not supported).

Python Exceptions

ZeroDivisionError, EnvironmentError, BoundLocalError
try, except, finally

Key Python Concepts

is vs. ==: The is operator checks if variables are referencing the same object, while == checks if their values are equal.
Mutable vs. Immutable: An immutable object cannot be modified once created, while a mutable object can.

Python Data Manipulation Libraries

NumPy for processing arrays
Pandas for data analysis and statistics

Python Question Examples

String Formats: Explain different string formats with examples.
Input and Output: Write a program to take input from the user and print the sum of the series (1 + \frac{1}{2} + \frac{1}{3} + \ldots + \frac{1}{n}).
Basic Control Flow: Write a program to prompt the user to enter a score and print a grade using the following table:

[ \begin{array}{c|c} \text{Score} & \text{Grade} \ \hline \geq 0.9 & A \ \geq 0.8 & B \ \geq 0.7 & C \ \geq 0.6 & D \ < 0.6 & F \end{array} ]

Python Data Engineering Questions

Differentiate between distribution-based questions, data munging with Pandas, and data manipulation.
Explain the advantages of NumPy and Pandas.
Write code to solve a specific problem given a dataset.

Data Types and Operators

Lists, tuples, dictionaries, sets
Operators: +, *, ==, <, >, !=, <=, >=.

Python Core Competencies

To excel in a Python engineering interview, focus on Python fundamentals, theory, and practical uses, including Python definitions, Python theory, and writing Python functions. Practice questions from data engineering interviews, which often include beginner to intermediate Python coding exercises.

Description

Test your knowledge of Python syntax, variables, data structures, control flow statements, exceptions, and key concepts like mutable vs. immutable objects. Explore questions related to Python libraries, control flow, data manipulation, and core competencies for Python engineering interviews.