Day1 Python for Data Science.ipynb

Kernel: Python 3 (ipykernel)

Dealing with unstructured and structured data, Data Science is a field that comprises of everything that related to data cleansing, preparation, and analysis.

• obtaining knowledge from often enormously large data sets.

• process include analysis, preparing data for analysis, and presenting results to support organisational decisions

Data Science is the combination of

• statistics,

• mathematics,

• programming,

• problem-solving,

• capturing data in ingenious ways, the ability to look at things differently,

• and the activity of cleansing, preparing and aligning the data.

Python For Data Science

• Python is one of the most popular languages used by Data Scientists. Python has in-built mathematical libraries and functions, making it easier to calculate mathematical functions.

Data Containers in Python

1. Strings 2. Lists 3. Tuples 4. Dictionary

12, 12.3, -12.5 

type(12)
type(-12.3)

float

Strings

X="Python"
type(X) ## Check Data Type
len(X) ## display number of members 

## Indexing 
X[-6], X[1],X[-1]

X[1:4] #n:n-1

'yth'

x="data"

x.casefold()
z=x.encode()
x.isalnum()
x.isalpha()
x.isascii()
x.isdecimal()
x.isspace()
x.join("a")

'a'

x="12Ram"
z=x.encode()
z
type(z)

bytes

x.isdecimal()

False

## Please create a user name of length 6, create a password of lenghth 7 and 
##all details are correct you can type"Credentials created welcome to home page 

user=input("Create user name for minimum 6 lenghth:")

if len(user) >= 6:
    print("Valid user name")
else:
    print("Ops! User name not created invalid format")

Create user name for minimum 6 lenghth:wehi
Ops! User name not created invalid format

List

a=[1,2,3]
b=[1,2,"a"]
a[1]
max(a)
min (a)
a+a

[1, 2, 3, 1, 2, 3]

z="ashi"  ## We cannot do changes to strings like deleting members or adding new members
y=["a","s","h","i"] #Deletion and addition of new members is possible in list

## del z[0]
#y[3] = 2
del y[0]

y
y.append("d")
y
y.insert(2,"i")

y

['s', 'h', 'i', 'i', 'd', 'd', 'd', 'd']

## Tuples 

a=(1,2,3)
b=type(a)
b
## tuples also does nit support item aadition or deletion. 

tuple

x=y.append("3")
x

y

['s', 'h', 'i', 'i', 'd', 'd', 'd', 'd', '3', '3']

print(x)

None

Dictionary

• Mapping data types

• Key value pairs

• key are index to members for dictionary

• Keys are unique with one value for one key

• Duplicate Key creation is not possible

d={}
d={1:"avi",2:"om",3:"Shri"}
d

{1: 'avi', 2: 'om', 3: 'Shri'}

d[1],d[2]

('avi', 'om')

d.keys()

dict_keys([1, 2, 3])

d.values()

dict_values(['avi', 'om', 'Shri'])

d[4] ="Deb"

d

{1: 'avi', 2: 'om', 3: 'Shri', 4: 'Deb'}

d[1]="vemi"

d

{1: 'vemi', 2: 'om', 3: 'Shri', 4: 'Deb'}

d[5]="om"

d

{1: 'vemi', 2: 'om', 3: 'Shri', 4: 'Deb', 5: 'om'}

del d[1]

d

{2: 'om', 3: 'Shri', 4: 'Deb', 5: 'om'}

## Create a dic named Emp_details with Emp ID as Keys and job roels as values.
"A101, B101"

'A101'