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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

Wednesday, 2 May 2018

ETL & Selenium Training in Pune


Selenium Testing:
Selenium is one of the most popular and most widely used Automation tool. In another way you can say that anything which opens in web browser you can automate with Selenium. One of the reason for Selenium being widely used is open source which means it is available free of cost and there is no such hardware requirement. So you can start learning Selenium without any initial cost or without any initial setup. Another reason to stand Selenium in this growing market is as browser is getting advanced in the same way Selenium has also grown advanced which means that we can automate any browser which supports basic HTML or HTML5 or angular JS components or any advanced UI components. Using Selenium Webdriver makes automation much easy and you can go for any framework in any language (Java, C#, Ruby, Python etc.) and in any browser (Firefox, Chrome, IE, Safari). We in Technogeeks provide you Selenium Training in Pune, the complete learning of Selenium including all kinds of complex scenarios and also how to implement those in a framework.

Selenium Training in Pune
ETL Testing:
As we are moving to the Digital world the data is growing at a much faster rate and so storing and retrieving the data process has to be smooth and as per the requirement. ETL provide the solution to store and retrieve data in structured and easy way. ETL stands for Extract-Transform-Load and it is a process of how data is loaded from the source system to the data warehouse. ETL Testing is done to ensure that the data that has been loaded from a source to the destination after business transformation is accurate. It also involves the verification of data at various middle stages that are being used between source and destination. While performing ETL testing, two documents that will always be used by an ETL tester are ETL Mapping sheets and DB Schema of Source, Target.
ETL Testing

Monday, 9 April 2018

Introduction to Hadoop Ecosystem

Watch Introduction To Hadoop Ecosystem class recording here by Technogeeks Hadoop Ecosystem is a conglomeration of different Hadoop components in its overall framework. To learn and understand the entire Hadoop Ecosystem, watch this video, which puts you through to the following topics:



Technogeeks is a Group of Explorer located in Pune that provides Instructor-Led Live, classroom classes for learners who would prefer a hassle-free and self-paced learning environment, accessible from any part of the world. The topics related to ‘Hadoop Eco-system’ are extensively covered in our Big Data and Hadoop course.

Read More About Big Data and Hadoop - Big Data Certification in Pune

For more information, please write back to us at contact@technogeekscs.co.in or Call us at US: 860-099-8107 Hadoop Tutorial, understand Hadoop Ecosystem, Introduction To Hadoop Ecosystem, Hadoop Ecosystem, Hadoop components.

Monday, 5 March 2018

Big Data Analytics and Courses


Big data is data sets that are so voluminous and complex that traditional data processing application software are inadequate to deal with them. Big data challenges include capturing data, data storage, data analysis, search, sharing, transfer, visualization, querying, updating, information privacy and data source. There are five dimensions to big data known as Volume, Variety, Velocity and the recently added Veracity and Value.

Big Data and Hadoop

Analytics is the discovery, interpretation, and communication of meaningful patterns in data. Especially valuable in areas rich with recorded information, analytics relies on the simultaneous application of statistics, computer programming and operations research to quantify performance. In the industry of commercial analytics software, an emphasis has emerged on solving the challenges of analyzing massive, complex data sets, often when such data is in a constant state of change. Such data sets are commonly referred to as Big Data.

In analytics Technogeeks Provides Hadoop Big data with spark + NO SQL Database like H-BASE. The course which Technogeeks offers is totally practically oriented will provide you 2 live projects and 5 pocs . The components which Technogeeks covers is like pig, hive, hue, HDFS ,flume,sqoop,yarn, oozie, mapreduce and spark. All the trainers are IT Professionals. Technogeeks provides placement assistance and  lot of job opportunities, provides experience of real time scenarios.

Great Opportunity for fresher Technogeeks is going to start Summer Internship Training Program in Pune (From 17th May 2019 to 5th July 2019). Book your seat now...!


In analytics Technogeeks offers Data Science by Spark and Scala, By python, By statistics , R programming language. Lot of things Technogeeks offers in that program like 2 live projects, 5 POCs ,Resume prepration, Interview mock session, Job openings, Certification assistance.

R programming language is an awesome programming language for data analysts, especially for people just started in IT. Studying Data analytics is very beneficial for present and for future as well .Studying Data Analytics can open a wider world for you no matter what your role is. A basic understanding of it allows you to see the bigger picture and predict issues, trends, and habits- and these skills can enhance any organization. Telecom, Retail, Health care, Insurance, Automotive, Commerce, Banks , Sports, Pharma, Manufacturing, Mobile world every industary needs Data analytics engineer or Data scientist. Market is quite good in India or in abroad as well.

Read Vijay Singh's answer to Where can I get training or an internship related to big data, data science or Hadoop in India? on Quora


Sunday, 28 January 2018

AWS Training and Classes by Certified Professions

AWS is a product of Amazon Company that provides on-demand cloud computing platforms to various companies, Individuals or Government organizations. Amazon Web Services was officially launched in March 2006, with their three initial services S3 cloud storage, SQL, and EC2. In November 2010, it was reported that all of Amazon's retail sites had been completely moved under the AWS. Prior to 2012, AWS was considered a part of Amazon.com.

AWS Certification Training
AWS Certification Training
To support the IT industry, training, and skills standardization, AWS Launched a certification program for computer engineers on 30 April 2013, to highlight expertise in cloud computing. AWS Certification Training focuses on gaining technical knowledge on the AWS Platform across several roles and specialties. After AWS Google, Microsoft and IBM launched their certification program. Amazon Web Services offer a range of certification types including Associate, Professional, and Specialty.

Amazon Web Services offers associate certifications covering the roles of Solutions Architect, Developer, and SysOps Administrator. Once you have completed an Associate Certification in any of these roles, you may progress to a Professional AWS Certified Solutions Architect or DevOps Engineering a Specialty in Advanced Networking.
Read Somya Jain's answer to Which is best institute for Amazon Web services in Pune? on Quora
AWS, Microsoft Azure and Google Cloud Platform offer similar services, storage, and networking. They all share the common elements of a public cloud self-service and instant provisioning, auto-scaling, plus security, compliance and identity management features. They are providing support for Hadoop cluster by different names AWS (Elastic Map Reduce), Microsoft Azure (HDInsight) and Google (Dataproc). You can enroll yourself for Data Science Training in Pune with the live project for better training. But in comparison to others, Amazon Web Services offers the largest number of services around 100+ like compute, storage, database, analytics, networking, mobile, developer tools, management tools, IoT, security and enterprise applications. Amazon Web Services have more data centers in comparison to others all across the world.

Read Paras Arora's answer to Which is best institute for Amazon Web services in Pune? on Quora

Tuesday, 16 January 2018

Today’s Demanding Technologies That Will Lead to High Paying Job

Data science is one of the growing and demanding fields in IT industry since almost 2017 mid and its demand is increasing day by day because there are lots of reasons behind Data Science. Data science is a data analyses process and there are many tools available to process data and predict for future.

We can understand behavior of the customers in different reasons where client is running the business and can also find out the hidden factors like risk analysis and demand and supply gap based on customers taste and current trend. With Data Science Classes in Pune, it is almost impossible to handle multiple products data manually with multiple dimensions like: Product, vendor, stores, employees, customer, stock, wastage, replacement etc.

Join our Special Summer Training Program - 2019

That’s the reason now, when data volume increased and clients want to take business decision based on facts so we need data science based algorithms and some tools to process data and give meaningful information out if that.

We have multiple tools to implement data science algorithms and Statistics like: R Language, Python and Scala. All these languages have rich library with Machine Learning and Graph data processing algorithms to implement statics and data science related algorithm we also require mathematics background. That is why companies preferring candidates having Math background for Data Science profile. So Join Data AnalyticsInstitutes in Pune with IT Experts & 100% Placement assistance.


There are many examples of recent success story of Data Science where clients got huge benefit in business and predictions based on Data Science. We can easily understand data science and data analytics meaning with simple example like client is using computer based storage since decades and computer has all historical as well as current data of the client's business. So now if client wants to take some decision in business related to new product launching or existing product changes as per demand of the customers, then client can take help of computer to give these answers because computer has client’s data about all success and failure cases.

The only required thing is we need some fact based algorithms which can provide meaningful and required data out of huge volume of historical facts to take correct decision based on need. Data AnalyticsClasses in Pune is one of the best names who always work on demanding technology like Data Science. Here Data Science and Statistics come and once algorithm designed we just need a tool like R Language, Python or Scala to implement that algorithm and get the required data from machine.

Monday, 15 January 2018

Big Data Training in Pune, Big Data Hadoop Training, AWS Classes

Hadoop, Open source, Big Data, Data Science, NoSQL Databases all these names of skill sets are very important and demanding in IT Industry for the clients. You can join Big Data Testing Classes because Hadoop is playing major role in data storage and processing field because of multiple reasons:

·       It is open source technology.

·    Hadoop has the complete Ecosystem that has a list of tools like Pig, Hive, Sqoop, Flume, oozie, HDFS, YARN, MapReduce and even now Spark and Scala also included in Hadoop Ecosystem. So under single umbrella we can get a variety of tools and can easily fulfill variety of requirements of the clients by processing data using commodity hardware. So Hadoop is an open source technology which provides freeware tools and Hardware cost is also very cheap as compare to other licensed tools hardware need.

·    In Hadoop Ecosystem now as open source and Big Data compatible Real time solution, we have variety of NoSQL based databases like HBase, Cassandra, MongoDB, Neo4j etc.


If we just imaging and find how much data we are generating every moment world-wide then it will be a big surprise for us but we have a reliable and tested technology in IT Industry that is capable to handle huge volume of data and serving since almost 10 years to specially Social Networking sites and search engines. With Bigdata and Hadoop skills you can make an amazing opportunity in the IT industries.

Now as for other clients in Banking, Healthcare, Automotive, Insurance and other domains clients are getting large volume of data from real-time repositories as well as historical data in warehouse repository, they also need some reliable storage and processing system that is the reason now Hadoop is in Demand in service based industry also.

So there are two major factors behind Hadoop demand:

·       Open source Software and commodity Hardware

·       Scalable and can handle Big Data in distributed and parallel processing architecture

That is the reason nowadays lots of trainings being conducted on Big Data Hadoop Training and ecosystem of Hadoop

Another important point is how to store this large volume of data in Data Centres and how to take care of data centres ever-growing size and securities. For that now cloud based repositories are available like AWS (Amazon Web Services), Microsoft Azure and Google cloud. So earlier it used to take few months time for hardware and cluster planning when clients were using in-house data Repositories. But with Hadoop on cloud this time duration reduced to few days as well as it is very easy to upgrade and downgrade Hardware any time without putting much efforts. So one of the best combinations as career in IT is: Hadoop on cloud with NoSQL database.