CBSE : INFORMATICS PRACTICES/CS & AI

  FILE HANDLING IN PYTHON PPT LINK -  FILE HANDLING PPT NOTES fout= open("text.txt","w") # new File opened for writing fout.write("This program is creating a text file\n") str="The name of the text file is text.txt" fout.write(str+"\n") fout.close()

  Notes: Introduction to Entrepreneurship  (Class XI Employability Skills) LINK TO NCERT BOOK :  CBSE Employability Skills XI PDF 1. Meaning of Entrepreneurship Entrepreneurship is the process of starting and running a business using new ideas , innovation , or different methods to satisfy customer needs and earn profit. An entrepreneur does not just run a business like others; they introduce something unique, such as: New products Better services New marketing strategies Cost-effective methods Innovative solutions to customer problems 2. Entrepreneur An entrepreneur is a person who identifies customer needs and creates a business using innovative ideas to meet those needs and make profit. Example: A vegetable seller who starts home delivery for customers is acting as an entrepreneur because he is using a new service idea.   Values and Attitudes of a Successful Entrepreneur A successful entrepreneur usually has the following ...

  CSV XII - BOARD PROJECT   RESULT ANALYSIS PROJECT SAMPLE # -*- coding: utf-8 -*- """ Created on Sat Jun 19 16:59:58 2021 @author: Kirti Hora """ # CLASS XII RESULT ANALYSIS PROJECT SAMPLE #CSV DATA #File name: result.csv #File location: g:\ import pandas as pd import matplotlib.pyplot as plt # Main Menu while(True):     print("Main Menu")     print("1. Fetch data")     print("2. Dataframe Statistics")     print("3. Display Records")     print("4. Working on Records")     print("5. Working on Columns")     print("6. Search specific row/column")     print("7. Data Visualization")     print("8. Data analystics")     print("9. Exit")     ch=int(input("Enter your choice"))     if ch==1:         result=pd.read_csv("D:\GRADE XII PYTHON/result.csv",index_col=0)              elif ch==2:       ...

  CSV PROJECT PATIENT MAMAGEMENT # -*- coding: utf-8 -*- """ Created on Sat Nov 13 20:37:02 2021 @author: Kirti Hora """ import pandas as pd import matplotlib.pyplot as plt def main():   while True:     print("="*60)     print("enter 1 to ADD PATIENT DETAILS")     print("enter 2 to DELETE PATIENT DETAIL")     print("enter 3 to UPDATE PATIENT DETAIL")     print("enter 4 to SEARCH PATIENT ")     print("enter 5 to DISPLAY PATIENT DETAILS")     print("enter 6 to DISPLAY CITY WISE GRAPH")     print("enter 7 to EXIT....")     d=int(input("enter choice:"))     print("="*60)     if d==1:         add()          elif d==2:         delete()     elif d==3:         update()     elif d==4:         search()     elif d==5:         d...

  DESIGN THINKING & INNOVATION CH - FUNDAMENTAL OF MOVING IMAGES   THEORY NOTES CHAPTER -  FUNDAMENTALS OF MOVING IMAGES Important Video Links: Ultimate Guide to Cinematic Lighting — Types of Light & Gear Explained https://www.youtube.com/watch?v=r2nD_knsNrc   The 3 Essential Elements of Suspense Explained https://www.youtube.com/watch?v=FHXh_uy6gT4 Ultimate Guide to Camera Angles: Every Camera Shot Explained https://www.youtube.com/watch?v=wLfZL9PZI9k   Use these Creative Camera Angles & Shots to become PRO Film Maker !! https://www.youtube.com/watch?v=vZcfj6PTF5A   Ultimate Guide to Camera Movement — Every Camera Movement Technique Explained https://www.youtube.com/watch?v=IiyBo-qLDeM  

  IP - CSV DATA ANALYSIS PROJECT   RollNo,Name,English,Math,IP 101,Aarav,78,85,92 102,Diya,88,79,95 103,Rohan,67,91,89 104,Ananya,92,87,96 105,Vivaan,75,80,84   import pandas as pd # Reading CSV file df = pd.read_csv("student_marks.csv")   # Display complete data print("Student Data:") print(df)   # Add Total column df["Total"] = df["English"] + df["Math"] + df["IP"]   # Add Percentage column df["Percentage"] = df["Total"] / 3 print("\nUpdated Data:") print(df)   # Highest scorer df = df.sort_values(by="Total", ascending=False) print("\nTopper Details:") print(df.iloc[0])   # Subject-wise average print("\nAverage Marks:") print(df[["English", "Math", "IP"]].mean()) print("\nDataFrame Properties:")   print("Shape of DataFrame:", df.shape) print("Column Na...