GBSSS - Govt. Boys Sr. Sec. School Khajoori Khas Delhi -90

Tuesday, September 28, 2021

General Computer Questions - 1

1. Operating Systems for Computer or PC

MS-Windows
Unix
Linux
Ubuntu
Mac OS
Fedora
Chrome OS
Solaris

2. Mobile Operating System

Android
Apple iOS
Windows OS
Blackberry OS
Samsung BADA

3. Version of Windows OS

Windows 10
Windows 8
Windows 7
Windows XP
Windows 98

4. Version of Android OS.

Name	Internal codename	Version number(s)	Initial stable release date	API level
Android 1.0	N/A	1.0	September 23, 2008	1
Android 1.1	Petit Four	1.1	February 9, 2009	2
Android Cupcake	Cupcake	1.5	April 27, 2009	3
Android Donut	Donut	1.6	September 15, 2009	4
Android Eclair	Eclair	2.0	October 27, 2009	5
		2.0.1	December 3, 2009	6
		2.1	January 11, 2010	7
Android Froyo	Froyo	2.2 – 2.2.3	May 20, 2010	8
Android Gingerbread	Gingerbread	2.3 – 2.3.2	December 6, 2010	9
Android Gingerbread	Gingerbread	2.3.3 - 2.3.7	February 9, 2011	10
Android Honeycomb	Honeycomb	3.0	February 22, 2011	11
		3.1	May 10, 2011	12
		3.2 - 3.2.6	July 15, 2011	13
Android Ice Cream Sandwich	Ice Cream Sandwich	4.0 – 4.0.2	October 18, 2011	14
Android Ice Cream Sandwich	Ice Cream Sandwich	4.0.3 - 4.0.4	December 16, 2011	15
Android Jelly Bean	Jelly Bean	4.1 – 4.1.2	July 9, 2012	16
		4.2 - 4.2.2	November 13, 2012	17
		4.3 - 4.3.1	July 24, 2013	18
Android KitKat	Key Lime Pie	4.4 – 4.4.4	October 31, 2013	19
Android KitKat	Key Lime Pie	4.4W - 4.4W.2	June 25, 2014	20
Android Lollipop	Lemon Meringue Pie	5.0 – 5.0.2	November 4, 2014	21
Android Lollipop	Lemon Meringue Pie	5.1 - 5.1.1	March 2, 2015	22
Android Marshmallow	Macadamia Nut Cookie	6.0 – 6.0.1	October 2, 2015	23
Android Nougat	New York Cheesecake	7.0	August 22, 2016	24
Android Nougat	New York Cheesecake	7.1 - 7.1.2	October 4, 2016	25
Android Oreo	Oatmeal Cookie	8.0	August 21, 2017	26
Android Oreo	Oatmeal Cookie	8.1	December 5, 2017	27
Android Pie		9	August 6, 2018	28
Android 10	Quince Tart	10	September 3, 2019	29
Android 11	Red Velvet Cake	11	September 8, 2020	30
Android 12	Snow Cone	12	TBA	31

5. Name of Antivirus Software:

Nortan
Kaspersky
Bit Defender
Avira
Avast
Quick Heal

6. Name of Virus:

ILOVEYOU
Morris Worm
SQL Slammer
Nimda
Creeper
Brain

7. Web Browser Names:

Google Chrome
Internet Explorer
Microsoft Edge
Mozilla Firefox
Opera Mini
UC Browser

8. Social Networking Websites

Facebook
Twitter
Instagram
LinkedIn
YouTube
Quora

9. Search Engine Name:

Google
Yahoo
Bing
Baidu
Ask.com

10. Utility Software:

Antivirus
File Management System
Disk Management tools
Compression tools
Disk cleanup tool
File Management System
Disk Defragmenter
Backup utility
Disk Cleaners

Monday, September 27, 2021

CLASS 11 IP Notes

1. Unit - 1 (Introduction to Computer)

1 .1. G eneral Questions of Computer - 1

1.2. General Question of Computer - 2

1.8. Storage Devices, Memory, Memory Unit and its Memory Types

1.12. System Software

1.13. Application Software

1.14. Generic and Specific Types Software

1.15. Data Deletion and Recovery

1.16. Security Concern

1.17. General Computer Assignment - 1

1.18. General Computer Assignment - 2

1.19. General Computer Assignment - 3

1.20. General Computer Assignment - 4

2. Unit - 2 (Introduction to Python)

2.2. Python IDE, Distributions and Frameworks

DataFrame in Python Class - 2

DataFrame Attributes / Properties:

7. ndim:

Return the dimension of the DataFrame.

import pandas as pd

I=['IP','Bio','Chemistry','Physics','English']

D={"2018":[50,60,70,80.5,90],"2019":[40,35,45,55,32], \

"2020":[65,75,85,45,52],}

df=pd.DataFrame(D,I)

df.index.name="Subject"

print(df)

print("Number of Dimension in Data Frame")

print(df.ndim)

Output:

2018 2019 2020

Subject

IP 50.0 40 65

Bio 60.0 35 75

Chemistry 70.0 45 85

Physics 80.5 55 45

English 90.0 32 52

Number of Dimension in Data Frame

8. empty:

Check whether a DataFrame is Empty or Not.

import pandas as pd

import numpy as np

I=['IP','Bio','Chemistry','Physics','English']

D={"2018":[50,60,70,80.5,90],"2019":[40,35,45,np.NaN,32], \

"2020":[65,75,85,45,52],}

df=pd.DataFrame(D,I)

df.index.name="Subject"

print(df)

print("Check whether a Data Frame is Empty or not")

print(df.empty)

print(df.isna()) # It is a function. Check NaN values in DataFrame

df1=pd.DataFrame()

print(df1)

print(df1.empty)

Output:

2018 2019 2020

Subject

IP 50.0 40.0 65

Bio 60.0 35.0 75

Chemistry 70.0 45.0 85

Physics 80.5 NaN 45

English 90.0 32.0 52

Check whether a Data Frame is Empty or not

False

2018 2019 2020

Subject

IP False False False

Bio False False False

Chemistry False False False

Physics False True False

English False False False

Empty DataFrame

Columns: []

Index: []

True

9. count()

It is used to count the values in Rows and Columns of DataFrame.

df.count() : count the no. of values rowwise

df.count(0):count the no. of values rowwise

df.count(axis="rows"): count the no. of values rowwise

df.count(1): count the no. of values columnwise

df.count(axis='columns'): count the no. of values columnwise

import pandas as pd

import numpy as np

I=['IP','Bio','Chemistry','Physics','English']

D={"2018":[50,60,70,80.5,90],"2019":[40,35,45,np.NaN,32], \

"2020":[65,75,85,45,52],}

df=pd.DataFrame(D,I)

df.index.name="Subject"

print(df)

print("Count the no. of values in rows")

print(df.count())

print("Count the no. of values in columns")

print(df.count(1))

print("Count the no. of values in rows")

print(df.count(0))

print("Count the no. of values in rows")

print(df.count(axis='rows'))

print("Count the no. of values in columns")

print(df.count(axis='columns'))

2018 2019 2020

Subject

IP 50.0 40.0 65

Bio 60.0 35.0 75

Chemistry 70.0 45.0 85

Physics 80.5 NaN 45

English 90.0 32.0 52

Count the no. of values in rows

2018 5

2019 4

2020 5

dtype: int64

Count the no. of values in columns

Subject

IP 3

Bio 3

Chemistry 3

Physics 2

English 3

dtype: int64

Count the no. of values in rows

2018 5

2019 4

2020 5

dtype: int64

Count the no. of values in rows

2018 5

2019 4

2020 5

dtype: int64

Count the no. of values in columns

Subject

IP 3

Bio 3

Chemistry 3

Physics 2

English 3

dtype: int64

10. Transpose of Data Frame

import pandas as pd

import numpy as np

I=['IP','Bio','Chemistry','Physics','English']

D={"2018":[50,60,70,80.5,90],"2019":[40,35,np.NaN,55,32], \

"2020":[65,75,85,45,52],}

df=pd.DataFrame(D,I)

df.index.name="Subject"

print(df)

print("Transpose of Data Frame")

print(df.T)

Output:

2018 2019 2020

Subject

IP 50.0 40.0 65

Bio 60.0 35.0 75

Chemistry 70.0 NaN 85

Physics 80.5 55.0 45

English 90.0 32.0 52

Transpose of Data Frame

Subject IP Bio Chemistry Physics English

2018 50.0 60.0 70.0 80.5 90.0

2019 40.0 35.0 NaN 55.0 32.0

2020 65.0 75.0 85.0 45.0 52.0

Saturday, September 25, 2021

Python Version List

A list of Python versions with its released date is given below.

Python Version	Released Date
Python 1.0	January 1994
Python 1.5	December 31, 1997
Python 1.6	September 5, 2000
Python 2.0	October 16, 2000
Python 2.1	April 17, 2001
Python 2.2	December 21, 2001
Python 2.3	July 29, 2003
Python 2.4	November 30, 2004
Python 2.5	September 19, 2006
Python 2.6	October 1, 2008
Python 2.7	July 3, 2010
Python 3.0	December 3, 2008
Python 3.1	June 27, 2009
Python 3.2	February 20, 2011
Python 3.3	September 29, 2012
Python 3.4	March 16, 2014
Python 3.5	September 13, 2015
Python 3.6	December 23, 2016
Python 3.7	June 27, 2018
Python 3.8	October 14, 2019

Python 3.9	October 05, 2020
Python 3.10	October 04, 2021

What is an IDE?

An IDE (Integrated Development Environment) is a software application used by developers for creating programs.

List of Python IDE

1. PyCharm

2. Visual Studio Code

3. Sublime Text

4. Vim

5. Atom

6. Jupyter Notebook

7. Eclipse + PyDev + LiClipse

8. GNU Emacs

9. Spyder

10. Thonny

11. IDLE

Python Distributions

Anaconda Python
ActivePython
CPython
Enthought Canopy
WinPython

Important Python Libraries

1. Matplotlib

2. Pandas

3. Requests

4. NumPy

5. SQLAlchemy

6. BeautifulSoup

7. Pyglet

8. SciPy

9. Scrapy

10. PyGame

11. Python Twisted

12. Pillow

13. pywin32

14. wxPython

15. iPython

16. Nose

17. Flask

18. SymPy

19. Fabric

20. PyGTK

Pages

Tuesday, September 28, 2021

Monday, September 27, 2021

CLASS 11 IP Notes

1. Unit - 1 (Introduction to Computer)

1.12. System Software

1.13. Application Software

1.14. Generic and Specific Types Software

1.15. Data Deletion and Recovery

1.16. Security Concern

1.17. General Computer Assignment - 1

1.18. General Computer Assignment - 2

1.19. General Computer Assignment - 3

1.20. General Computer Assignment - 4

2. Unit - 2 (Introduction to Python)

Saturday, September 25, 2021

Python Version List

What is an IDE?

Python Distributions

Important Python Libraries