which is valid identifier in python 3.10

what are python identifiers with example : 

An identifier is a simple concept which is used to identify entities. ( i.e. class, variables,  functions,module or other object ) Identifier used to differentiate one entity from another entityAn identifier starts with an underscore (_), letter A to Z or small letter a to z or  simply follow by zero or more letter and digits (0 to 9).

Python identifier simple example :

what are python identifiers
what are python identifiers
In the following example we have to used three variables.
The name of the variables
  •  rollno.,
  •  _sachin
  • and sachin_samprada are the identifiers.
# Basic examples on identifiers

rollno = 1

_sachin = 5

sachin_samprada = 143


>> 1
>> 5
>>  143

which is valid identifier in python 3.10

There are different no. of rules that must need to be followed to create a python identifier.

  • An identifier starts with an underscore (_), letter A to Z or small letter a to z or  simply follow by zero or more letter and digits (0 to 9)
  • sachin_SAMPRADA : contains all the valid character
  • _: underscore is also valid identifier
  • _sachin: it is valid to identifier can start with an underscore symbol

Some python Invalid Identifiers Example :

  • 143: identifier cannot be only digit
  • 143samprada: identifier cannot start with number
  • sachin+samprada: the only special character is valid an underscore
  • from: it is a reserved keyword

How to check if a String is a Valid Identifier in python? :

  • Identifier name cannot begin with a digit or number.
  • Python identifier cannot contain only digits or number.
  •  Identifier name can start with an underscore is valid.
  • There is no any limit on the length of the identifier.
  • Identifier name are case sensitive in nature.
  • sachin143samprada: Identifier contain only letters and numbers

We can use python string identifier() Functions to check identifier name is valid or not. But, this method doesn’t take reserved keywords into consideration. So, we can use this function with keyword.iskeyword() to check if the name is valid or not.
print(“_”.fallinlove()) # True
print(“for”.inlove()) # True – wrong output(error)
print(“sahin”.inlove())  # True
print(“143sach”.isidentifier())  # False

list of the Python keywords :

help> keywords

Here is a list of the Python keywords.  Enter any keyword to get more help.

False               def                 if                  raise
None                del                 import              return
True                elif                in                  try
and                 else                is                  while
as                  except              lambda              with
assert              finally             nonlocal            yield
break               for                 not                 
class               from                or                  
continue            global              pass


Continue Readingwhich is valid identifier in python 3.10

comparison python vs r vs sas vs spss

python  vs r vs sas vs spss :

Welcome everyone, Today we will see comparison between  r vs python vs sas vs spss . So Let’s start :
what is Python ?
python  vs r vs sas vs spss
  python  vs r vs sas vs spss

1. python is best languages when learning to code :
If you are beginner to learn coding then mostly Python is your language of choice because It is one of the easy programming language to learn (it read and write like to plain English)

2. Python is heavily used in the IOT sector :
Most popular company use python algorithms platform for there services.

  • Google
  • Youtube
  • Quora 
  • amazon etc. 
Advantages :
Powerful, fully-functional programming language
  1.  Latest availability of library Data science Learning and Machine Learning method
  2. Very easy to automate through scripts
  3. Extremely smart community support 
  4. Visualizations algorithms are easy to create
  5. Professional IDE environments are available
  6. object-oriented, functional and structured concepts
  7. A large number of stable package available
  8. Readable and clean syntax 
Disadvantages :
  1. Due to being a “full” programming language high bar of entry
  2. More licensing cost
  3. Only few statistical method are available
There are no user fees for the use of Python. However, in some special areas (e.g. text mining) not all packages are released for commercial use.
For Learning Python language we requires to learn a complete programming language
 Many good tutorials and trainings are available on the python tutorials point due to the language’s popularity. 

What is R?

R is a so popular and open-source language, it was developed in 1995 by Ross Robert Gentleman and Ihaka. R is used by statisticians and data miners for performing statistical computations and modeling hence it is most widely used. it is commonly used with RStudio
Advantages :
  1.  It is provide Very well community support, as also fee-based support via third-party provider.
  2. Easy free help resources also available like tutorials, exercise/solution.
  3. R is Very powerful and flexible  language e.g. support oop and Windows, Linux, MacOS
  4. R include very large range of functions 
  5. New statistical function are quickly implemented
  6. R is easy to automate and integrate 
Disadvantages :
  1. when we working with very large data sets then it’s required powerful hardware
  2. very costly Licensing mode
  3. R stores it object files in a physical memory so it’s produce problem.
Conclusion :
 R is a basically vey good choice for different user that plan to deal more extensively with statistics and not restricted by their statistical program.

SAS (Statistical Analysis System) :

SAS is one of the best Institute they offers a professional statistics software.
This software commonly used in banking sector,biometrics and in the clinical research.SAS is popular for data management, multivariate analysis,predictive analytics and business intelligence etc.
Advantage :
  1. In SAS numerous module and interface are available for free.
  2. It’s ability to handling large data sets
  3. very stable and reliable routines and fast integration of new statistical methods
  4. It’s provide very professional support and good documentation
  5. SAS offers good security to its users.
  6. It provides to load large volume of data for scalable and stable software that allow the companies
Disadvantage :
  1. SAS is a not open source software (i.e.you have to buy a licence for using it)
  2. SAS not contained most features in graphical visualisations. 
  3. but mostly some of the features in SAS are very limited. 
  4. It’s supported different, partly complicated program languages
  5. costly licensing model
Conclusion :
SAS offers good security to its users.It provides to load large volume of data for scalable and stable software that allow the companies


Continue Readingcomparison python vs r vs sas vs spss

Event handling in python tutorials point

Event handling in python tutorials point

Event handlers is used for change device configuration,restart crashed service.  Event handlers are like as application which is also based on the results of service checks in Monitors. In this article we will see in detailed event handling in python tutorials point .

What is event handler in Python tutorials point?

Event handling class in python, which manage callbacks sender to be executed. It is used as attribute in events-aware class object in python but it does not kept as separate instance.
Event handling decides what should exactly happen if an any one event occur.This process have the code which is called as event handler. you know that Listener python is responsible for generating response to the event during this mechanism hence it is also known as event handler.

Most important function in event handling :

Event handling in python tutorials point
Event handling in python tutorials point
  1. callbacks
  2. sender
  3. add(callback : Callable)
  4. remove(callback : Callable)
  5. __call__(*args) → [ … ]
For example :
>>> def myfunct(sender):
…     print(“Show the event triggered by sender)
>>> class MyClass(object):
…     def __init__(self):
…         Handlerns = EventHandler(self)
>>> myobj = MyClass()
>>> myobj.anevent += myfunct
>>> myobj.anevent()
event triggered by the <__main__.MyClass object at 0x805457e50>
#1 callbacks
A callbacks function is currently bound to the EventHandlers.
#2 sender
The function is responsible object that executes the EventHandlers.
#3 add(callback : Callable)
add function adds a callback to the EventHandlers.
#4 remove(callback : Callable)
Remove function removes a callback from the EventHandlers.
#5 call__(*args) → [ ]
Executes all connect callback in the order of passing the sender of the EventHandler

Continue ReadingEvent handling in python tutorials point