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                 Matrix is one of the important concepts in mathematics. It has rows and columns.It has many operations to perform as listed below ·        Addition ·        Row wise and column wise Sum ·        Subtraction ·        Element wise Multiplication ·        Multiplication ·        Transpose ·        Determinant ·        Inverse Matrix ·        Rank ·        Eigenvalues and EigenVector 👉Program implementation: import numpy as np rows = int(input("Enter rows: ")) cols = int(input("Enter columns: ")) print("Enter Matrix A:") A = np.array([[int(input()) for j in range(cols)] for i in range(rows)]) print("M...

              It is a beginner friendly mini project in NumPy mini Project. It reads the user reviews. Analyzes the reviews and make a good statistical reports. Let us implement this as follows… Implementation: This implementation starts from including numpy object. The movies names are assigned for an array. Ratings are recorder in another array. 4 parameters are calculated here. first, average of the reviews. It uses mean() function. Next, maximum and minimum calculation.This uses max() and min() functions. Finally, median rating is calculated by median(). These values are displayed. At last, the datas are sorted and displayed. Code: import numpy as np1 # Movie names movies = np1.array([     "Avengers:Doomsday",     "Spider-Man: Brand New Day",     "Jailer2",     "Titanic",     "Inception" ]) # Ratings out of 10 ratings = np1.array([...

       Tic-Tac-Toe is a thinking game between two opponents. Each one has a symbol ‘o’ or ‘x’. The first person who built the three consecutive rows or columns or diagonals win the game. Opponent player will keep on move their symbols to make sure that opposite person should not make the three consecutive moves. Let us implement it using Numpy Arrays Implementation: import numpy as np1 # First a 3x3 game board is created board = np1.full((3, 3), "-") def display_board():     print("\nCurrent Board:")     print(board) def check_winner(player):     # Check for rows to find three consecutive moves     for row in board:         if np1.all(row == player):             return True     # Check columns for three consecutive columns     for col in board.T:   ...

Sudoku Board is mathematical board which has dimensions 9x9. You have to fill the numbers from 1 to 9 without duplication in columns or rows. Validation can be done by as follows. ·        Each row should have numbers 1-9 without duplicates. ·        Each column needs to filled with numbers 1-9 without repetition. ·        In the same way, each sub-grid should be filled with numbers 1-9 without overlapping. Program implementation: This code starts from importing numpy library. Two functions are created for validating the sudoku board.one is for shape. Another one is for elements. Input of the sudoku board is created with elements. First, shape is checked for number of rows and columns. Next one is for each row, each column and sub grid. Each one of the groups should be filled with 1to 9 without any repetition. Finally, the output is printed. Code: import numpy as np1 d...

              This program analyses a cricket player’s scores across many matches he/she played. It is a moderate mini project to implement. It needs some array to store the data, many functions are used. Here, is the implementation. Implementation: This implementation starts with include numpy and its object. The score details are included in the array and displayed. The following daata’s are calculated. Total runs,Average and highest scores are displayed. Century and half century values are noted. Scores above the average are displayed. Standard deviation values are calculated and displayed. Finally, best match and score are displayed. Code: import numpy as np1 #score board scores = np1.array(list(map(int, input("Enter the Cricket score of the player separated by space: \n ").split()))) print("Scores are displayed here:\n", scores) print("\nTotal Runs of the player:", np1.sum(scores)) print("Average Score of the pla...

               Attendance system is a common system which marks the student’s entry. when they are getting in to the school or college, it puts the attendance. Present means 1 and absent means 0. Let us implement this program. Implementation: This program creates a student array. Next, attendance entry matrix is created.   Attendance analysis is done as follows.. First, attendance percentage for each student is created according to the data. Next, below 75% attendance students are displayed separately. Code: import numpy as np1 # Student names students = np1.array(["Ajay", "Bob", "Charan", "Dia", "Marya", "Henry"]) # Attendance for 6 days (1 = Present, 0 = Absent) attendance = np1.array([     [1, 1, 0, 1, 1, 1],       [1, 0, 1, 1, 0, 0],       [1, 1, 1, 1, 1, 1],       [0, 1, 0, 1, 1, 0],       [1, 1, 1, 0, 1, 1],...