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Showing posts with label python data analytics. Show all posts
Showing posts with label python data analytics. Show all posts

Friday, 20 July 2018

Functions in Python


A function id a block of statement in which instruction is given to perform a particular task. It provides code reusability. They provide better modularity of the program. Python has a number of built in function and we can have user defined function also in it. Functions in Python, we have three parts:

1) Function Declaration
2) Definition
3) Calling

Functions in Python

Function declaration is done first before giving the code to be performed. There is some rule for function definition

1) There is a keyword def followed by the function name and ()
2) The argument and parameter are given in ()
3) Colon: will be used for indentation
4) The first statement of the function is an optional statement which the documentation string or the docstring
5) The return statement exit the function and the return without argument will be similar to return none

Function definition in Python Programming will be code which we have to run to get the required output. Function calling can be done in two ways

1) Call by value
2) Call by reference

TYPES OF FUNCTION with Few Functions Example:

1) Function with no argument and no return value
2) Function with no argument and with return value
3) Function with argument and no return value
4) Function with argument and with return value

Function Argument:

1) Keyworded
2) Default
3) Variable length argument
4) Required Argument

The Anonymous Functions:

These functions are called anonymous because they are not declared in the standard manner by using the def keyword. You can use the lambda keyword to create small anonymous functions. For more details visit Python Training Institutes in Pune.

Lambda forms can take any number of arguments but return just one value in the form of an expression. They cannot contain commands or multiple expressions.

An anonymous function cannot be a direct call to print because lambda requires an expression. Lambda functions have their own local namespace and cannot access variables other than those in their parameter list and those in the global namespace.

Although it appears that lambda's are a one-line version of a function, they are not equivalent to inline statements in C or C++, whose purpose is by passing function stack allocation during invocation for performance reasons.

Read Paras Arora's answer to Why should I learn Python instead of Java? on Quora
Built-In Function in Python:

1) Print()-to print any value or anything on the screen
2) Abs()-Return the absolute value of a numeric value
3) Round()-Return the rounded value of a numeric value
4) Max()-return the largest item
5) Sorted()-it will sort in ascending order
6) Len()-give the number of element in the list or number of character of the string
7) Type()-give the type of variable
8) Zip()-create the tuples of variable
9) Chr()-return the string representing the character whose Unicode point is the integer given in ()
10) Filter()-Give an iterator for the element of inerrable for which the function give true

Thursday, 21 December 2017

Importance of Python and R Languages in Data Science and Data Analytics

Data Science is one of the hot and niche skill set in IT Industry and this skill set is surrounded by statistics and deep learning. Those who are from Mathematics background like B.Sc/M.Sc in Math or Statistics. And those who are working in IT like ETL Developer, Database Developer, Data warehouse developer or Hadoop Big Data Developer/Analyst can easily switch on Data Science because this field is again related to data only but the major challenge is data can be any format like it can be in structured, semi structured or unstructured format and the most suitable languages which can be used for statistic implementation and query in variety of data are Python and R Language. Data Science Institutes in Pune provides such kind of platform where you can get your dream job in Top IT companies.

Many Companies like Amazon, FlipKart, Google, Yahoo, Facebook, Twitter, etc are using Data Science and Deep Learning for analytics and predictions. Just imaging when you go for shopping then your mobile phone can easily suggest you the shops where to go and buy products. What all products you need as per your historical purchase. Mobile can analyze data about when you bought vegetables and what all vegetables you purchased in last few months and what stock is available in fridge at home you don’t even need to open and check your devices will give you all these statistics. So wake up and join Data Analytics Classes in Pune for your prospective IT career.

This is just a basic example of Data Science application there are many big examples and most of the companies are depended on analytics only to grow business and get information about current market trends from multiple sources for this only data and processing with accurate and efficient algorithms can help. And all the time it is not possible to convert data into relational format and then process now a days most of the data we are generating online and out of that non-Transactional data is in file formats like XML, JSON (JavaScript Object Notation). Nested formats and we have functions and algorithms available with built-in features in Python, R, Scala Languages to process specially file based data and get maximum out of that.

You can reach Technogeeks - Python Institutes in Pune for more and detailed Information about Data Science and Operations on Data for analytics related to Statistics. We also conduct classes on Data Science on Weekends for IT working professionals and people from Mathematics Background Even Those who are not from Technical or IT Background we have special Batches available with detailed Assistance in class room training in Pune on multiple technologies including Machine Learning and Deep Learning.