Programming in Python for GATE Exam

Python is a high-level, versatile, and dynamically typed programming language that has gained immense popularity across various domains in the world of technology. It was created by Guido van Rossum and first released in 1991. Python's popularity can be attributed to its simplicity, readability, and a rich ecosystem of libraries and frameworks. Let's explore its popularity in different domains and its readability, which makes it beginner-friendly.

1. Web Development:

  • Python is widely used in web development, thanks to frameworks like Django and Flask. Django, in particular, is known for its robustness and ease of use, making it a popular choice for building complex web applications.
  • Python's simplicity and clear syntax allow developers to write clean and maintainable code for web projects.

2. Data Science and Machine Learning:

  • Python has become the go-to language for data science and machine learning due to libraries like NumPy, pandas, scikit-learn, and TensorFlow.
  • Its simplicity and ease of data manipulation, along with extensive libraries, have made Python a favorite among data scientists and machine learning practitioners.

3. Automation and Scripting:

  • Python is often used for automating repetitive tasks, creating scripts, and building automation tools. Its readability and concise syntax make it easy to write scripts quickly.
  • Popular automation libraries like Selenium, PyAutoGUI, and Fabric are available in Python.

4. Scientific Computing:

  • Python is used in scientific computing and research due to its simplicity and the availability of libraries like SciPy and matplotlib.
  • Scientists and researchers find Python to be a flexible and accessible language for implementing and experimenting with algorithms.

5. Game Development:

  • Python is used in the game development industry, with libraries like Pygame providing tools for creating 2D games.
  • While not as performant as some other languages for game development, Python's simplicity appeals to hobbyist game developers.

Python's Readability and Beginner-Friendly Nature:

Python is renowned for its readability and simplicity, making it an excellent choice for beginners and experienced developers alike. Here are some reasons why Python is considered beginner-friendly:

1. Clear and Readable Syntax:

  • Python's syntax emphasizes readability with its use of indentation and a straightforward, English-like structure. This minimizes the need for excessive punctuation, making the code cleaner and more understandable.

2. Extensive Documentation:

  • Python has comprehensive documentation and a large online community that provides support and resources for learners. The abundance of tutorials and learning materials makes it easy for beginners to get started.

3. Abundance of Libraries:

  • Python offers a wide range of libraries and frameworks that simplify complex tasks, reducing the need to write code from scratch. This allows beginners to focus on learning core programming concepts before diving into advanced topics.

4. Versatility:

  • Python's versatility means that beginners can use it for various applications, from web development to data analysis, allowing them to explore different areas of programming.

5. Minimal Boilerplate Code:

  • Python requires less boilerplate code compared to some other languages. Beginners can achieve functionality with fewer lines of code, which can be motivating and less overwhelming.

In summary, Python's popularity across diverse domains can be attributed to its readability, simplicity, and extensive ecosystem of libraries and frameworks. Its beginner-friendly nature makes it an excellent choice for those new to programming while also serving as a powerful tool for experienced developers in a wide range of applications.

Setting up Python:

Installing Python:

If Python is not already installed on your computer, you can follow these steps to install it:

  1. Download Python: Visit the official Python website at and choose the version of Python you want to install. It's recommended to download the latest stable version.
  2. Start the Installer: Run the downloaded installer. On Windows, make sure to check the "Add Python x.x to PATH" option during installation to make Python accessible from the command line.
  3. Install Python: Follow the on-screen instructions to complete the installation. Python will be installed on your system.
  4. Verify Installation: Open a command prompt (Windows) or terminal (macOS/Linux) and type python --version or python3 --version (depending on your system). You should see the installed Python version displayed, confirming the successful installation.

Using an Online Python Interpreter (Jupyter Notebook):

If you prefer not to install Python locally or want to use Python interactively, you can use Jupyter Notebook, an online Python interpreter with a web-based interface. Here's how to get started:

1. Install Jupyter Notebook (if not already installed): Open a terminal or command prompt and run the following command to install Jupyter Notebook using Python's package manager, pip:


2. Launch Jupyter Notebook: After installation, you can start Jupyter Notebook by running:


This will open a web browser with the Jupyter Notebook interface.

  1. Create a New Notebook: Click the "New" button and select "Python 3" (or any other available Python kernel) to create a new notebook. You can now start writing and executing Python code in the notebook cells.

Code Editor or IDE for Python:

To write Python code efficiently and manage larger projects, you can use a code editor or an Integrated Development Environment (IDE). One popular choice is:

Visual Studio Code (VS Code):

  • Description: Visual Studio Code is a free, open-source code editor developed by Microsoft. It's highly customizable and supports various programming languages, including Python.
  • Features:
    • IntelliSense for code completion and suggestions.
    • Integrated terminal for running Python code directly from the editor.
    • Extensive extensions marketplace for Python-specific plugins and tools.
    • Git integration for version control.
  • How to Install: Visit the VS Code website at and download the installer for your operating system. Once installed, you can install Python-related extensions from the VS Code marketplace to enhance your Python development experience.

Using VS Code or similar code editors/IDEs provides features like syntax highlighting, debugging tools, and project management capabilities, making it easier to write and manage Python code effectively.

Basic Syntax:

1. Indentation and Whitespace Significance:

Indentation in Python and whitespace are significant and are used to define the structure and scope of code blocks. Here are some key points:

  • Indentation is used to group statements within loops, conditional statements, and functions. It replaces the use of braces or other delimiters found in many other programming languages.
  • Indentation should be consistent within a code block. Typically, four spaces are used for each level of indentation, although you can use tabs or a different number of spaces as long as it's consistent.
  • Incorrect indentation can lead to syntax errors or unexpected behavior in your code.

Example of indentation in a Python function:


2. Writing Comments in Python:

Comments in Python are used to provide explanations or notes within your code. They are ignored by the Python interpreter and are intended for human readers. Python supports both single-line and multi-line comments.

  • Single-line comments start with the # symbol:
  • Multi-line comments are often enclosed in triple quotes (''' or """):

3. Variables and Naming Conventions:

In Python, variables are used to store data. Here are some key points about variables and naming conventions:

  • Variables must start with a letter (a-z, A-Z) or an underscore (_).
  • After the initial character, variable names can contain letters, digits (0-9), and underscores.
  • Variable names are case-sensitive, so myVar and myvar are treated as different variables.
  • It's a good practice to use descriptive variable names that indicate the purpose of the variable.

Examples of variable declarations:


4. Printing Output with **print()**:

The print() function is used to display output in Python. You can use it to print text, variables, or expressions to the console. Here's how to use it:


You can also print variables and combine them with strings using the + operator or use formatted strings (f-strings) for more complex output:


Or using f-strings (Python 3.6+):


This will display the output in the console or terminal when you run your Python script.

These are some of the fundamental concepts in Python that are important for beginners to grasp as they start learning the language. Understanding indentation, comments, variables, and the print() function will help students write and understand basic Python code.

Data Types:

1. Concept of Data Types and Their Importance:

In programming, data types define the type of data that a variable can hold. They determine how data is stored in memory, how it can be manipulated, and what operations can be performed on it. Data types are crucial because they help ensure data integrity, memory efficiency, and code reliability.

For example, you wouldn't want to perform mathematical operations on a piece of text, or concatenate a number with a string. Data types help prevent such inconsistencies and errors.

2. Fundamental Data Types:

Let's cover the fundamental data types in Python:

a. Integers (**int**):

  • Integers represent whole numbers, both positive and negative.
  • Examples of integer literals: 42, 7, 0.

b. Floating-point Numbers (**float**):

  • Floating-point numbers represent real numbers with a decimal point.
  • Examples of float literals: 3.14, 0.5, 2.0.

c. Strings (**str**):

  • Strings represent sequences of characters enclosed in single, double, or triple quotes.
  • Examples of string literals: "Hello, world!", 'Python', """Multiline string""".

d. Booleans (**bool**):

  • Booleans represent two values: True and False. They are often used in conditional statements.
  • Example:

3. Declaring and Using Data Types:

Here are some examples of how to declare and use these data types:


4. Type Conversion:

Python allows you to convert between different data types. This can be useful when you need to perform operations involving different types of data.

  • Explicit Type Conversion (Casting): You can use functions like int(), float(), str(), or bool() to explicitly convert one data type to another.
  • Implicit Type Conversion (Type Coercion): Python also performs automatic type conversion in certain situations, such as during arithmetic operations between different data types.

Understanding data types and how to convert between them is essential for writing code that behaves correctly and efficiently, especially when dealing with user input or data from external sources. It helps ensure that operations are performed on compatible types and that data is presented to users in a meaningful way.

Basic Operations:

1. Basic Mathematical Operations:

Python supports the following basic mathematical operations:

  • Addition +: Adds two numbers.
  • Subtraction -: Subtracts the right operand from the left operand.
  • Multiplication *: Multiplies two numbers.
  • Division /: Divides the left operand by the right operand (results in a floating-point number).
  • Modulus %: Returns the remainder of the division of the left operand by the right operand.

2. String Concatenation and Multiplication:

  • String Concatenation: You can combine (concatenate) two or more strings using the + operator.
  • String Multiplication: You can repeat a string multiple times using the * operator.

3. Comparison Operators:

Comparison operators are used to compare values and return Boolean values (True or False). Here are some common comparison operators:

  • == (Equal): Checks if two values are equal.
  • != (Not Equal): Checks if two values are not equal.
  • < (Less Than): Checks if the left operand is less than the right operand.
  • > (Greater Than): Checks if the left operand is greater than the right operand.
  • <= (Less Than or Equal To): Checks if the left operand is less than or equal to the right operand.
  • >= (Greater Than or Equal To): Checks if the left operand is greater than or equal to the right operand.

Comparison operators are commonly used in conditional statements (e.g., if statements) to make decisions based on the comparison of values. For example:


Understanding these operators and their use is essential for making decisions and controlling the flow of your Python programs.

Example Problems:

Exercise 1: Basic Calculations

Write Python code to calculate and print the following:

  1. The sum of two numbers, a and b, where a = 10 and b = 5.
  2. The result of multiplying x and y, where x = 7 and y = 3.
  3. The area of a rectangle with length length and width width, where length = 10 and width = 5.



Exercise 2: String Manipulation

Write Python code to perform the following string operations:

  1. Concatenate two strings, first_name and last_name, to form a full name.
  2. Repeat the word "Hello" three times and store it in a variable.
  3. Create a new string, greeting, that combines the word "Good" and the string from the previous step.



Exercise 3: Variables and Comparisons

Write Python code to perform the following tasks:

  1. Create two variables, num1 and num2, and assign them values.
  2. Check if num1 is greater than num2 and print the result.
  3. Check if num1 is equal to num2 and print the result.



These exercises cover basic calculations, string manipulation, and comparisons. Encourage students to experiment with the code and modify it to further practice these fundamental concepts.

Built-in Functions:

Built-in functions in Python are pre-defined functions that perform specific tasks. Here are three useful built-in functions and examples of how to use them in practical scenarios:

1. **len()**:

The len() function returns the length (number of items) of an object, such as a string, list, or tuple.

Practical Scenario: You can use len() to find the length of a string or a list, which can be helpful when working with text processing or data analysis.


2. **input()**:

The input() function allows you to accept user input from the keyboard. It takes a string argument that serves as a prompt and returns the user's input as a string.

Practical Scenario: You can use input() to create interactive programs that request information or responses from the user.


3. **str()**:

The str() function is used to convert an object into a string. It can convert integers, floats, and other data types into string representations.

Practical Scenario: You may need to convert non-string data into strings for displaying or formatting purposes, such as when combining numbers with text in a print statement.


These built-in functions are just a few examples of the many useful functions available in Python. They simplify common tasks and allow you to perform various operations with ease in your Python programs. Understanding how to use these functions is essential for building practical and interactive applications.


Exercise 1: Calculate Circle Area

Write a Python program that calculates and prints the area of a circle. The program should:

  • Ask the user to enter the radius of the circle.
  • Use the formula area = π * r^2, where π (pi) is approximately 3.14159.
  • Print the calculated area.



Exercise 2: Celsius to Fahrenheit Conversion

Write a Python program that converts a temperature in Celsius to Fahrenheit. The program should:

  • Ask the user to enter a temperature in Celsius.
  • Use the formula Fahrenheit = (Celsius * 9/5) + 32 to perform the conversion.
  • Print the converted temperature in Fahrenheit.



Exercise 3: String Reversal

Write a Python program that takes a string as input and prints the reverse of that string.



Exercise 4: Odd or Even Number

Write a Python program that checks if a given integer is odd or even. The program should:

  • Ask the user to enter an integer.
  • Determine if the integer is odd or even.
  • Print the result.



These exercises cover basic syntax, input/output, variables, mathematical calculations, and conditional statements. Encourage students to practice writing code to solve these problems to reinforce their understanding of Python fundamentals.


In this discussion, we covered several fundamental concepts in Python programming:

  1. We explained Python's popularity in various domains, such as web development, data science, and automation, highlighting its readability and beginner-friendly nature.
  2. We provided guidance on installing Python and introduced Jupyter Notebook as an online Python interpreter. Additionally, we introduced Visual Studio Code as a code editor/IDE for Python development.
  3. We discussed key Python concepts, including indentation, comments, variables, and the print() function.
  4. We explained the importance of data types in programming and introduced essential data types like integers, floating-point numbers, strings, and booleans.
  5. We demonstrated basic mathematical operations, string concatenation and multiplication, and the use of comparison operators.
  6. Finally, we offered coding exercises to practice these concepts, including basic calculations, string manipulation, and variable usage.

Key Takeaways:

  • Python is a versatile and beginner-friendly programming language used in web development, data science, automation, and more.
  • Python's readability and clean syntax make it a preferred choice for both beginners and experienced developers.
  • Installing Python and using an integrated development environment (IDE) like Visual Studio Code can enhance your coding experience.
  • Python's indentation is crucial for code structure, and comments help document code for clarity.
  • Data types like integers, floats, strings, and booleans are essential building blocks in Python.
  • You can perform basic mathematical operations, string manipulation, and comparisons using Python operators.
  • Python's built-in functions, like len(), input(), and str(), simplify common tasks and enable interactive programming.

Practice Questions

1. Which of the following is a valid Python variable name?

(A) 1my_variable 

(B) my-variable 

(C) my_variable$ 

(D) my_variable


Answer: (D)

Explanation: Python variable names must start with a letter or underscore and can only contain letters, numbers, and underscores. They cannot contain spaces or special characters.

2. What is the output of the following Python code?

print(True is not False)

(A) True 

(B) False




The is operator checks for object identity, meaning that it checks to see if two objects refer to the same instance of a class. In this case, the two objects True and False are not the same instance of the bool class, so the output of the code is False.

3. What is the output of the following code?

x = 5 y = 10 result = x > 3 and y < 15

A) True 

B) False 

C) 5 

D) 10


A) True

Explanation: The and operator returns True if both conditions are True, which is the case here (x > 3 and y < 15 are both True).

4. In Python, which of the following is NOT a valid data type?

A) int 

B) float 

C) str 

D) double


D) double

Explanation: Python does not have a data type called double. It uses float to represent floating-point numbers.

5. What is the result of the following Python expression?

result = (20 + 8) * 3 % 7

A) 0 

B) 1 

C) 2 

D) 5


Answer: D) 5

Explanation: Let's break down the expression step by step:

(20 + 8) evaluates to 28. 28 * 3 evaluates to 84. 84 % 7 calculates the remainder when 84 is divided by 7, which is 5.

Module 3: Programming, Data Structures, and AlgorithmsProgramming in Python for GATE Exam

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