Python Programming - Two Dimensional Arrays

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Questions and Answers

What does the two dimensional array T represent in the given example?

Temperatures recorded for a week.

Temperature variations over several years.

Average temperatures for the month.

Daily temperatures recorded multiple times per day. (correct)

How would you access the second temperature recorded on Day 3 in the array T?

T[1][1]

T[3][2]

T[2][1] (correct)

T[0][2]

What is the output of the code that prints the entire two dimensional array T using nested for loops?

[11, 12, 5, 2] [15, 6, 10] [10, 8, 12, 5] [12, 15, 8, 6]

11 12 5 2 15 6 10 10 8 12 5 12 15 8 6

All values printed on a single line.

11 12 5 2 15 6 10 10 8 12 5 12 15 8 6 (correct)

What method can be used to insert a new data element at a specific index in a two dimensional array?

insert() Signup and view all the answers

Which of the following correctly represents the length of Day 2's temperature recordings in the array T?

3 Signup and view all the answers

What is required to compile the Python source code if the binary code for your platform is not available?

A C compiler Signup and view all the answers

Which step must be taken first when installing Python on a Unix/Linux machine?

Download and extract files Signup and view all the answers

What is a prerequisite for using the Windows installer for Python?

Support for Microsoft Installer 2.0 Signup and view all the answers

Where can you find the most up-to-date documentation for Python?

The official Python website Signup and view all the answers

Which directory is Python installed in on Unix/Linux systems by default?

/usr/local/bin Signup and view all the answers

Which of the following operating systems is NOT listed as compatible with Python installation?

Windows 10 Signup and view all the answers

After downloading the appropriate Python installer for Windows, what is the next step?

Run the downloaded installer Signup and view all the answers

What is the file extension of the Windows installer for Python?

.msi Signup and view all the answers

What is the purpose of the Inbetween function in the SLinkedList class?

To add a new node after a specified node Signup and view all the answers

What will the output of the listprint function be after inserting 'Fri' between 'Tue' and 'Thu'?

Mon, Tue, Fri, Thu Signup and view all the answers

What happens if Inbetween is called with a middle_node that is None?

Nothing happens and the function returns None Signup and view all the answers

What type of data structure is being implemented with the SLinkedList class?

Singly Linked List Signup and view all the answers

What is the initial state of the headval in an empty SLinkedList object?

None Signup and view all the answers

What is the purpose of the PYTHONPATH variable?

It defines where to find the imported module files. Signup and view all the answers

Which variable is executed every time the Python interpreter is started?

PYTHONSTARTUP Signup and view all the answers

How can you start the Python interactive interpreter on a Windows system?

Run 'python' in the command line. Signup and view all the answers

Which command line option generates optimized bytecode?

-O Signup and view all the answers

What happens when you set PYTHONCASEOK in Windows?

It ensures all imports are case-insensitive. Signup and view all the answers

What does the -S command line option do?

It skips the module search on startup. Signup and view all the answers

Which variable is typically used to provide an alternative module search path?

PYTHONHOME Signup and view all the answers

What does the -v option provide when starting Python from the command line?

It executes in verbose mode. Signup and view all the answers

What will happen if you try to access dict['Age'] after executing del dict?

A TypeError will be raised. Signup and view all the answers

What is the result of running the following code? dict = {'Name': 'Zara', 'Age': 7, 'Name': 'Manni'}

'Manni' Signup and view all the answers

Which of the following is a valid key for a Python dictionary?

'Name' Signup and view all the answers

What is the output of the code: dict = {['Name']: 'Zara', 'Age': 7}?

A TypeError will occur. Signup and view all the answers

In a Python dictionary, which statement about keys is true?

Keys must be unique. Signup and view all the answers

What will dict.clear() do to a dictionary?

Remove all entries in the dictionary. Signup and view all the answers

What type of data structure is created when using a two-dimensional array?

A matrix-like structure with rows and columns. Signup and view all the answers

Which statement about Python dictionary values is correct?

Values can be any arbitrary Python object. Signup and view all the answers

What is the outcome when a new column is inserted into the matrix using the insert method?

A new column is added with values sequentially from 1. Signup and view all the answers

How do you specify the axis for deleting a row from a matrix?

By using axis=0. Signup and view all the answers

Which method is used to update the values in a specific row of a matrix?

re-assigning values at the row index Signup and view all the answers

What will be the result after executing the delete method to remove the first row?

The first row will be removed, and the second row will move up. Signup and view all the answers

When deleting a column, how is the column specified in the delete method?

By the column index and setting axis to 1. Signup and view all the answers

What happens to the data types of the elements in the matrix after using the delete method?

The data types remain unchanged. Signup and view all the answers

If you insert a column filled with values from 1 to 7, how will the data for each day of the week change?

New values will be added without affecting existing data. Signup and view all the answers

If you delete the third row in the original matrix containing the data for Wednesday, which rows remain?

Mon, Tue, Thu, Fri, Sat, Sun. Signup and view all the answers

Study Notes

Python Data Structures - Overview

Computers store and process data quickly and accurately. Efficient data storage and retrieval are crucial.
Data structures organize data in memory for program processing. Algorithms use data structures for efficient problem solving.

Python Data Structures - Environment

Python is available on various platforms like Linux, macOS, and Windows.
To use Python, download the appropriate binary installer from python.org.
Setting up the PATH environment variable allows easier invocation of the Python interpreter from any directory.
PYTHONPATH variable specifies where Python modules are located.

Python Data Structures - Arrays

Arrays are fixed-size, homogeneous data structures.
Elements are stored sequentially with numerical indexes.
Operations include traversing, insertion, deletion, searching, and updating.

Python Data Structures - Lists

Lists are flexible, heterogeneous data structures.
Elements can be accessed via indexes or sliced.
Versatile operations like concatenation, slicing, and update are supported.

Python Data Structures - Tuples

Tuples are immutable, ordered sequences similar to lists.
Elements cannot be changed after creation, protecting the data's integrity.

Python Data Structures - Dictionaries

Dictionaries store key-value pairs.
Keys are unique and immutable (e.g., strings, numbers, tuples).
Elements can be accessed via their unique keys.

Python Data Structures - 2D Arrays/Matrices

2D arrays/matrices are arrays of arrays (tables).
Data elements are accessed using two indexes (row, column).
The insert() method allows adding elements, the del() method to remove elements, and the update() method for value changes.

Python Data Structures - Sets

Sets are unordered collections of unique elements.
They do not support indexing or slicing.
Operations include union, intersection, difference, and subset checking, for mathematical operations.

Python Data Structures - Maps (ChainMap)

ChainMap combines multiple dictionaries into a single view.
Order of dictionaries matters, if there are duplicate keys, then only the first key will be preserved.

Python Data Structures - Linked Lists

Linked lists store data in nodes connected by pointers.
Data can be accessed sequentially.
Operations include insertion and deletion at beginning, end or specific places.

Python Data Structures - Stacks

A stack follows the Last-In, First-Out (LIFO) principle.
Used for storing data elements in the stack that needs to be processed in reverse order.

Python Data Structures - Queues

Queues adhere to the First-In, First-Out (FIFO) principle.
They sequentially store and retrieve data elements. This means, data that enters first, is the data retrieved first.

Python Data Structures - Dequeues

Deques support adding and removing elements from both ends.
This offers more flexibility than stacks or queues.

Python Data Structures - Advanced Linked Lists (Doubly Linked)

Doubly linked lists have pointers pointing to both next and previous elements.
More flexible than Singly linked lists, allowing forward and backward traversing.

Python Data Structures - Hash Tables

Hash tables store key-value pairs using hash functions.
Accessing, inserting, and deleting elements are efficient.

Python Data Structures - Binary Trees

This non-linear data structure stores data in nodes.
Key properties include root, left child and right child nodes. This means, each node has at most two children.

Python Data Structures - Search Trees

A special binary tree structured for maintaining data in sorted order.
Elements are located efficiently using defined insertion, deletion and searching methods.

Python Data Structures - Heaps

Heaps use a tree structure to store data.
Elements are retrieved based on specific sorting rules, either Max or Min.

Python Data Structures - Graphs

A graph is a collection of nodes (vertices) and edges connecting them.
Graphs have vertices (nodes) and edges (connections).

Python Data Structures - Algorithm Design

Algorithms are step-by-step procedures to solve problems.
Important categories include search, sort, insert, delete, and update operations.
Key characteristics for algorithms are unambiguous, input/output, and finiteness.

Python Data Structures - Algorithm Analysis

Analyze algorithm efficiency using time/space complexity analysis.
Time factor measures the number of key operations (e.g., comparisons).
Space factor measures the memory used.

Python Data Structures - Algorithm Types

Sorting, search algorithms are examples of different algorithm types.
Categories include Greedy, Divide-and-Conquer, and Dynamic Programming methods.

Python Data Structures - Asymptotic Notations

Asymptotic notation describes the upper or lower bound of growth of an algorithm's running time.

Python Data Structures - Amortized Analysis

Amortized analysis considers the total cost of a sequence of operations.

Python Data Structures - Algorithm Justification

Justification of the algorithm's efficiency involves mathematical proof methods like direct proof, proof by induction, and proof by exhaustion.

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Description

This quiz explores two dimensional arrays in Python, focusing on their structure, data access, and manipulation techniques. You will also tackle questions about Python installation and documentation. Test your knowledge on both array handling and basic Python setup!