Posted on May 6, 2017July 14, 2017 by Abhilash Kumar

Top 7 Websites and Apps built with AngularJs

AngularJS is a popular framework for building web applications. When I created my first AngularJS app, I got advice from a colleague at work who had experience on how to set everything up. That helped me tremendously because I didn’t have to guess at best practices. AngularJS provides a great platform to build your website.Today we will look upon top 7 websites built with AngularJS to let you know more about this technology.

1. freelancer.com

Freelancer is the world’s most renowned marketplace for outsourcing. The employer just needs to post the project to get their work done. There are around 15.7 million freelancers registered on this site who compete against each other by bidding on the project.

2. paypal.com

Paypal is one of the worldwide leading Internet payment companies. It’s another example of large websites using AngularJS.

3. angularjs.org

Angularjs.org is a website for learning AngularJS. This site contains videos, free course, tutorials, case studies, documentations and API references to learn AngularJS. This site gives a perfect platform for learning AngularJS to novice.

4. istockphoto.com

Istockphoto has a huge collection of images, videos and photo clips. These images can be purchased at a nominal price of US $0.95 to $1.50 with price range varying on the credits allotted to an image.

5. upwork.com

UpWork is another great website which provides a platform where employer can find freelancers for any job at any time. It allows client to work, hire and interview with freelancers thereby, reducing the efforts to find a suitable employee for the role.

6. localytics.com

Localytics is a marketing platform for mobile and web app owners to build a strong customer relationship through their analytics. This service offering platform is used by 6,000 companies, like Microsoft, eBay, ESPN, and others. Localytics developers were previously using Backbone before they decided to move to AngularJS framework. And now their integrated approach to app helps users to deliver a more personalized experience. They believed AngularJS helped to solve common UI related problems and reduce the amount of code comparing to the previous framework.

7. netflix.com

Netflix is headquartered at California (United States) and provides on request internet streaming media to viewers. It brings the latest movies and TV series at your doorstep by sending you DVDs via Permit Reply Mail.

Posted on April 29, 2017July 14, 2017 by Abhilash Kumar

10 python modules you must know about

Without any doubt Python is one of the most talked about programming language in this Universe. It’s everywhere, and because of how simple it is to learn it – many beginners start their career with Python. The syntax of Python is very similar to that of English language, with the exception of a few extra characters here and there. In this post you will know about 10 important python modules you should know.

1. NumPy

NumPy provides some advance math functionalities to python. This package is mainly designed to efficiently manipulate large multi-dimensional arrays of arbitrary records without sacrificing too much speed for small multi-dimensional arrays. There are also basic facilities for discrete fourier transform, basic linear algebra and random number generation.

2. SciPy

SciPy is a library of algorithms and mathematical tools for python and has caused many scientists to switch from ruby to python. It is mainly used for scientific computing and technical computing. SciPy contains modules for optimization, linear algebra, integration, interpolation, special functions, signal and image processing, ODE solvers and other tasks common in science and engineering.

3. Pandas

Pandas is a Python package designed to do work with “labeled” and “relational” data simple and intuitive. Pandas is a perfect tool for data wrangling. It designed for quick and easy data manipulation, aggregation, and visualization.

4. matplotlib

matplotlib is a plotting library for the Python programming language and its numerical mathematics extension NumPy. It is a library mainly used for making 2D plots of arrays in Python. It is very useful for any data scientist or any data analyzer.

5. IPython

IPython is a command shell for interactive computing in Python and other programming languages, originally developed for the Python programming language, that offers introspection, rich media, shell syntax, tab completion, and history.

6. PyGame

This is a interesting python module for developers who like to play games and develop them.This library will help you achieve your goal of 2d game development.

7. Twisted

Twisted is an event-driven networking engine written in Python and licensed under the open source MIT license.It is the most important tool for any network application developer. It has a very beautiful api and is used by a lot of famous python developers.

8. PrettyTable

As the name already suggests, prettytable is a table printing library which displays the contents of the table as a pretty formatted table on the console.

9. nose

nose is a testing framework for Python. Their tagline is: “nose extends unit test to make testing easier.” It is used by millions of python developers. It is a must have if you do test driven development.

10. Scrapy

Scrapy is a free and open source web crawling framework, written in Python. Originally designed for web scraping, it can also be used to extract data using APIs or as a general purpose web crawler.

Posted on April 22, 2017July 4, 2017 by Abhilash Kumar

What is the Difference Between Big Data and IoT?

What is the Difference between Big Data and IoT?

Big Data is a collection of data from places like Articles, Social Media posts, Sensor Data and Device data, etc., which is accessible by the organization for Analysis and used for Predictions. IoT is one source of Big Data which collects data through Sensors and stores it in a Database.

IoT can do much more functions than Big Data. How? It collects data analyzing it in real time events and make sure to integrate any insight of rest of your Business.
For Example, Consider a Smart car is having multiple sensors like Engine Temperature, Brakes, Fuel Sensor and More. Using IoT you can detect the problems and correct them by sending a notification about Engine Temperature or Brake Failures. Even it can notify the nearest Service Station. Ok, that’s all about IoT but what is the use of Big Data. Using Big Data the data collected from all the vehicles are analyzed. If a problem occurs in a car, we can find out which Manufacturing Unit caused the problem and also the root cause of the problem.
In simple words, Big data is all about Data and IoT is about Data, Devices and Connectivity.

Posted on April 15, 2017July 3, 2017 by Abhilash Kumar

Code easy with these 3 Array hacks

Arrays are everywhere in JavaScript and with the new spread operators introduced in ECMAScript 6, you can do awesome things with them. In this post I will show you 3 useful tricks you can use when programming.

1. Iterating through an empty array

JavaScript arrays are sparse in nature in that there are a lot of holes in them. Try creating an array using the Array’s constructor and you will see what I mean.

> const arr = new Array(4);
[undefined, undefined, undefined, undefined]

You may find that iterating over a sparse array to apply a certain transformation is hard.

> const arr = new Array(4);
> arr.map((elem, index) => index);
[undefined, undefined, undefined, undefined]

To solve this, you can use Array.apply when creating the array.

> const arr = Array.apply(null, new Array(4));
> arr.map((elem, index) => index);
[0, 1, 2, 3]

2. Passing an empty parameter to a method

If you want to call a method and ignore one of its parameters, then JavaScript will complain if you keep it empty.

> method('parameter1', , 'parameter3');
Uncaught SyntaxError: Unexpected token ,

A workaround that people usually resort to is to pass either null or undefined.

> method('parameter1', null, 'parameter3') // or
> method('parameter1', undefined, 'parameter3');

I personally don’t like using null since JavaScript treats it as an object and that’s just weird. With the introduction of spread operators in ES6, there is a neater way of passing empty parameters to a method. As previously mentioned, arrays are sparse in nature and so passing empty values to it is totally okay. We’ll use this to our advantage.

> method(...['parameter1', , 'parameter3']); // works!

3. Unique array values

I always wonder why the Array constructor does not have a designated method to facilitate the use of unique array values. Spread operators are here for the rescue. Use spread operators with the Set constructor to generate unique array values.

> const arr = [...new Set([1, 2, 3, 3])];
[1, 2, 3]

Posted on April 8, 2017July 14, 2017 by Abhilash Kumar

5 Top Python Frameworks For Web Developers

A Web framework can be very helpful for developers to write Web applications without having to handle low-level details as protocols, sockets or process/thread management. But a perfect choice might depend on a developer specific needs, preferences, and skill level. Python is a dynamic, object-oriented language. It was originally designed as an object-oriented language and some more advanced features were added in the later versions. In addition to the design purpose of language itself, the Python standard library is worth praising, and it even brings its own server. In other aspects, Python has enough free data library, free Web page template system and the library interacting with the Web server, which can be designed to your Web application. In this article we are going to look at 5 top Python Frameworks(according to me) for web development purpose.
1. Django

Django is a high-level Python Web framework that encourages fast growth and clean, pragmatic design. In case you are building something that’s much like a e-commerce web site, then it’s best to, in all probability, go along with Django. It would get your work executed fast. You do not have to fret about too many expertise selections. It gives the whole lot factor you want from template engine to ORM. If you wish to use your web app framework as a CMS, Django might be a more sensible choice. It’s free and open source.

2. Flask

Flask Python framework is highly extensible. A newbie programmer may find Flask inefficient due to lack of features like form validation, and database abstraction layer. In such a case, know that Flask allows you to implement extensions; therefore, you can add any required functionality.

3. CherryPy

CherryPy is a Web application development framework based on Python, that greatly simplifies the work of Python Web developers. It provides a friendly HTTP protocol interfaces for Python developers. CherryPy has a built in HTTP server or Web server, so the users of CherryPy can directly run CherryPy application without building Web server.

4. Pyramid

Pyramid is an open source, Python web application development framework. Its primary goal is to make it easier for a Python developer to create web applications. Pyramid is similar to Flask . Pyramid is compatible with python3, with a great documentation, its minimal, fast and flexible and has an integration of nosql: mongodb, couchdb . Pyramid is best for Developers working on API projects, prototyping a concept & developing large web applications, such as a CMS.

5. Web2py

Web2py is a free open source full-stack framework for rapid development of fast, scalable, secure and portable database-driven web-based applications. Written and programmable in Python.