NMIMS BBA – B.Com Introduction to Python Solved Answer Assignment

Introduction to Python

1) Write a Python function that takes a string as input and returns a new string that contains only the unique characters from the input string, in the order they first appear. Also Display the both input string, output string and the character that are not unique? (10 Marks)

Ans :

Introduction to Python

Python is a popular high-level programming language known for its simplicity, versatility, and readability. It was created by Guido van Rossum and first released in 1991. Python has gained immense popularity in various domains, including web development, data analysis, artificial intelligence, scientific computing, and more. Its syntax allows programmers to express concepts in fewer lines of code than languages like C++ or Java.

Python Function

def unique_characters(input_str):

    “””

    Returns a new string containing only unique characters from the input string, in the order they first appear.

 

    Parameters:

    input_str (str): Input string.

 

    Returns:

    str: String containing unique characters in the order of first appearance.

 

Concept & Application

The unique characters function we have defined showcases several fundamental concepts in Python programming:

1. Strings and Characters: In Python, strings are sequences of characters. We iterate through each character in the input string to identify unique characters and store them.

2. Lists: The unique chars list keeps track of unique characters in the order they first appear.

3. Sets: The non_unique_chars set is used to store characters that are not unique. Sets in Python ensure uniqueness, making it efficient for identifying non-unique characters.

Conclusion

Python, a powerful and versatile programming language, offers a wide range of capabilities for efficient and elegant solutions. In this context, we explored a Python function, unique characters, which extracts unique characters from a string while preserving their order of appearance. The function demonstrates fundamental programming concepts such as string manipulation, data structures (lists and sets), iteration, conditionals, and complexity analysis.

2) Explain the difference between array and object with the help of example. Write a code to save your name, roll number and subject into an array and copy in another array? (10 Marks)

Ans :

Introduction:

Python, a versatile and powerful programming language, has become a cornerstone of modern software development, data analysis, artificial intelligence, and web applications. Its popularity stems from its simplicity, readability, and an extensive range of libraries and frameworks.

Concept & Application

Difference between Array and Object:

Arrays:

An array is a fundamental data structure used to store a collection of elements of the same data type in contiguous memory locations. The elements in an array are accessed using an index or a key, usually starting from 0. Arrays are efficient for accessing elements quickly based on their position, but they have limitations like a fixed size and requirement for elements to be of the same data type.

In conclusion, Python’s intuitive syntax, extensive standard library, and wide range of applications position it as a leading programming language in various domains, making it a crucial skill for programmers and data scientists. Understanding Python opens doors to vast possibilities and innovation in the ever-evolving technology field.

3) An IoT system is being developed that collects sensor data from multiple devices and processes it in realtime. The system developers need a way to analyze and manipulate large amounts of sensor data efficiently. After researching different libraries, they decide to use NumPy for its array manipulation capabilities.

Problem

The system developers need to write code that can process and analyze sensor data using NumPy. They have a sample data file that they want to use for testing. So, you as a part of the team, are required to perform various analysis on sensor data such as:

1. Import the necessary libraries.

2. Load the sensor data into a NumPy array.

3. Calculate basic statistics for the sensor data.

4. Filter the sensor data.

5. Analyze the distribution of the sensor data.

6. Save the processed data.

Using Numpy for Sensor Data Analysis in an IoT System. Demonstrate the above steps for the problem using python code and answer the following question.

QUESTIONS

1. What is NumPy and why is it useful for data analysis in IoT systems? Using NumPy, calculate basic statistics for sensor data and filter sensor data? (5 Marks)

Ans :

Introduction

In the rapidly evolving landscape of technology, the Internet of Things (IoT) has emerged as a transformative force, connecting a vast array of devices to the internet, enabling them to collect and exchange data. Within this paradigm, efficient processing and analysis of the immense volume of sensor data generated by IoT devices are of paramount importance.

Concept & Application

What is NumPy?

NumPy, short for Numerical Python, is a fundamental package for numerical computing in Python. It provides support for arrays, which are multidimensional, homogeneous data structures, along with an assortment of functions to perform mathematical, logical, and statistical operations. The primary data structure in NumPy is the ndarray, a multidimensional array of elements of the same data type. This representation allows for efficient computation on large datasets.

Conclusion

In conclusion, NumPy serves as a vital tool for IoT systems, offering efficient data processing and analysis capabilities. Its ability to handle large datasets, perform numerical operations, and facilitate seamless integration with other libraries makes it indispensable in the IoT domain. By employing NumPy, the development team can efficiently process sensor data, calculate essential statistics, filter relevant information, and gain valuable insights into the behavior and patterns present within the data.

 

How can NumPy be used to analyze the distribution of sensor data? Can NumPy be used with other Python libraries commonly used in IoT systems, such as Pandas? If so, how? (5 Marks)

Ans :

Introduction

In the realm of IoT (Internet of Things), the assimilation and interpretation of sensor data play a pivotal role in extracting meaningful insights and facilitating real-time decision-making. One of the fundamental aspects of handling sensor data is efficient manipulation and analysis, especially when dealing with substantial volumes of data. NumPy, a powerful library in Python, stands out as a go-to choice for its exceptional array manipulation capabilities, making it ideal for processing sensor data.

Concept & Application

To elucidate the application of NumPy in IoT sensor data analysis, let’s break down the steps involved in processing and analyzing sensor data using this robust library.

1. Importing Necessary Libraries

In any Python project, the first step involves importing the required libraries. For the given task, we import NumPy to harness its array capabilities.

In conclusion, embracing NumPy in IoT sensor data analysis empowers developers to delve into the intricate world of data, extract meaningful patterns, and fuel the growth and advancement of IoT systems. Its seamless integration with other popular libraries, such as Pandas

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