Python programming language is general purpose open source programming language. One of its main features is flexibility and ease of use. Python has a variety of useful set of utilities and libraries for data processing and analytical tasks. Currently due to the rise in demand of big data processing python has grown in popularity because its features are easy to use which are core to the processing of huge chunks of information.

Guido Van Rossum, the pioneer of python, introduced python in the year 1980 and then implemented it in 1989. The intention behind the development of python was to make it open source language that can also be used for commercial projects. The fundamental principle of python is to write the code that is easy to use, highly readable and embrace writing fewer lines of code for achieving a particular task. One of the most popular standard libraries which have ready to use tools for performing a various work is Python Package Index. It was introduced in January 2016 and contains more than 72,000 packages for third-party software usage.

Python plays a critical role in linking data to customers. Recently python has found few entry barriers and many people have had access to have experienced the power of python in the past. So, what makes python the best language for big data analytics?

One of the reasons to choose python is that python ecosystem is very vibrant, the ratings at Redmonk are a proof of the strength python community. The Redmonk ranking is based on StackOverflow discussions and contribution made in Github to determine the popularity of programming language on the method used by users to ask questions about Python and the number of the open source projects contributions.

One of the most recent updates to the iPhone, and more specifically the operating system that is packaged with the iPhone, iOS, brought one of the most fantastic and phenomenal updates ever: an update to Maps. Maps has been used as an application that provides an easy way to find routes, and (obviously) maps about certain areas, businesses in the local vicinity, and also leaving pins on favorited locations, or pins where you have explored, and for many other reasons. However, although Maps has always been a great way to travel with, it has always been redundant to travel with, also. When you used Maps a while ago, you had to route your map, and then manually click each next button as you reached each turn or freeway exit, and the like. So, if you had to turn left on a certain street, you had to tell your phone you had done so, so it would give you the next directions. As a result, it could become very dangerous to always have your phone out, looking at it, while you are on a high-speed freeway. But, the newest update solved that, and brought a great amount of new features.

Using Maps GPS

Using Maps is as easy as it gets. Most of the time, when you are using Maps, you are using it to search for a location, and finding a way to get there. To start off, let’s search for the nearest mall, and routes to get there. Simply search a nearby mall you know about, or search the general word “mall” by tapping on the top text box, and typing in mall, and searching. Pins will drop down on the screen, and locating the mall by zooming into certain streets and locations will help you find the mall you want. Once you find the mall you desire to go to, click on the blue arrow, and scroll down, and tap on the button that says “Directions To Here.”

As a result of tapping on that particular button, a new window should show up asking where your starting location is. On default, this location is your current location; if it is anything else, simply type in the starting location into the top address bar, such as your house. Once you are ready to go, tap on route, and you should be ready to go. Well, not exactly. One of the best features that has been implemented in the new system is suggested routes, and alternative routes. If you don’t like to drive on certain streets, or roads, the system provides you with different methods to get to your destination, which may avoid a road you don’t feel like driving on that certain day, or time, or you simply don’t want to take the freeway. It’s all okay, as Maps provides you with many different routes to take. Once you find the route you want (by tapping on the certain route’s outline), click start, and you should be ready to go. Make sure you turn up your volume so you can hear the directions!

Maps for Alternative Transportation

It is hard not to wonder how current technology would have altered the events surrounding the tragic death of John F. Kennedy. On the afternoon of November 22, 1963, shots rang out in Dallas, TX, taking the life of JFK, one of the most beloved Americans. Given the same circumstances today, surely the advances in IT alone, would have drastically changed the outcome of that horrible day. Would the government have recognized that there was a viable threat looming over JFK? Would local and government agencies have been more prepared for a possible assassination attempt? Would the assortment of everyday communication devices assisted in the prevention of the assassination, not to mention, provided greater resources into the investigation? With all that the IT world has to offer today, how would it have altered the JFK tragedy?

As many conspiracy theories have rocked the foundation of the official story presented by government agencies, realization of the expansive nature of technology provides equal consideration as to how the event would have been changed had this technology been available during the time of the shooting. There were T.V. cameras, home 8mm recorders, even single shot-hand held cameras snapping away as the car caravan approached. Yet, there remains little documentation of the shooting and even less information pertaining to the precautions taken by officials prior to JFK's arrival. Theorists consider these possibilities along with how the world would have turned out had the great John F. Kennedynever been assassinated on that day.

Sometimes we have to repeat ourselves before we are heard. Then again there are times where we have to perform a certain action the same way several times before we can carry on with what we want to do.

Repetition is the keyword here and for humans that is something we generally try to avoid. Yet our digital friends love repetition. They never get tired and they never get bored of doing the same thing over and over again countless times.

So it’s little wonder then that all modern programming languages give us various ways in which we can perform a certain action as many times as we need.

In python we have the for statement which gives us the power to loop over large collections of data very quickly and efficiently.