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Geoffrey A.Customer Service Rockstar, Philippines
$6 /hr
1 Years Exp.
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With the current advancement of technology with regards to work perspective, it is essential to possess the rightful skills for an individual to quali...Read More
Grace L.Executive Assistant, Philippines
$3 /hr
7 Years Exp.
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I had 4 yrs experience in Recruitment Processing offline and online with a 7yrs background in handling admin and clerical work
Virginia P.PHP Web Developer, Spain
$25 /hr
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I'm a PHP Web Developer with more than 10 years of professional experience. I help companies, marketing agencies and freelance desginers to pursu...Read More
Aditya S.Client Service Specialist, India
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Resourceful Customer Service executive who consistently meets and exceeds productivity goals Proven capacity to troubleshoot issues Maintain...Read More
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APIs became so valuable it comprises an oversized part of several businesses’ revenue. Major companies like Google, eBay, Salesforce.com, Amazon, and Expedia are simply many of the businesses that build money from their APIs.

 

API stands for application program Interface. It refers to a group of tools, protocols or routines used for building applications. An API informs software how it should interact.

 

In other words, APIs are all about connection, and it’s a way to integrate data from one source into another source, such as a web service or mobile app.

An API defines functionalities that are independent of their various implementations, which allows those implementations and definitions to vary without compromising one another. Therefore, a decent API makes it easier to develop a program by providing the building blocks.

 

APIs allow developers to save lots of time by taking advantage of a platform’s implementation to try to work. This helps to reduce the number of code developers need to produce, and it helps produce a lot of consistency across apps for constant platform. APIs can control access to hardware and software resources.

 

Programmers tend to solve programming problems by more programming.

 

Why APIs are Important?

Now, you’re probably thinking there is no way major companies are handing out their valuable code and technology. But, you might be afraid that just about each major tech company think Facebook and Dropbox, simply to name a couple is giving away insights into their code and platforms, and this is what actually makes APIs so good.

 

Our Internet experience runs on APIs. Instead of accessing four different companies four separate times, we use one software to access all four at the same time.

 

  1. APIs is huge time saver: Have you ever logged into an application or a website using your Facebook account? It’s yet another example of how an API saves you the time of creating an account, and saves the company from creating a system from scratch.
  2. Businesses are creating apps that rely on APIs: One of the most famous company built on a foundation of APIs is the ride-sharing app Uber. Without its API connection to Twilio, the messaging platform, or Google Maps, the company would have never existed.
  3. APIs helps businesses: APIs can allow businesses, from startups to massive corporations, to concentrate on their core competencies without having to do the work that has already been done.

 

Types of APIs

There are various types of APIs, for example, you must have heard of Java APIs, or interfaces inside classes that allow objects talk over with one another within the Java programing language. Along with program-centric APIs, there are also internet APIs like the Simple Object Access Protocol (SOAP), Remote Procedure call (RPC), and maybe the most popular at least in name Representational State Transfer (REST). There are 15,000 publicly available APIs, according to Programmable web, and many thousands of more personal APIs that companies use to expand their internal and external capabilities.

 

Future of API experts

We already rely on APIs so much without us knowing. Whether we use an app to view current traffic or to check the weather, these apps frequently rely on APIs to pull apps data. With all co-dependence, it opens up realms of opportunities for applications to become integrated. It also allows developers and technology to advance much faster, because the internet and applications share information with each other.

There are currently over 15,000 public APIs available today and that number is expected to quadruple in the next four years, the opportunities for innovation are going to be endless.

We should not fear the future of APIs, but rather embrace the road, and let’s see where it takes us.

Python is one of the fastest growing programming languages. It has undergone more than 28 years of the successful span. Python itself reveals its success story and a promising future ahead. Python programming language is presently being used by a number of high traffic websites including Google, Yahoo Groups, Yahoo Maps, Shopzilla, Web Therapy, Facebook, NASA, Nokia, IBM, SGI Inc, Quora, Dropbox, Instagram and Youtube. Similarly, Python also discovers a countless use for creating gaming, financial, scientific and instructive applications.

 

Python is a fast, flexible, and powerful programing language that's freely available and used in many application domains. Python is known for its clear syntax, concise code, fast process, and cross-platform compatibility.

 

Python is considered to be in the first place in the list of all AI and machine learning development languages due to the simplicity. The syntaxes belonging to python are terribly easy and can be easily learn. Therefore, several AI algorithms will be easily implemented in it. Python takes short development time as compared to different languages like Java, C++ or Ruby. Python supports object oriented, functional as well as procedure oriented styles of programming. There are lots of libraries in python that make our tasks easier.

 

Some technologies relying on python:

Python has become the core language as far as the success of following technologies is concerned. Let’s dive into the technologies which use python as a core element for research, production and further developments.

 

  1. Networking: Networking is another field in which python has a brighter scope in the future. Python programming language is used to read, write and configure routers and switches and perform other networking automation tasks in a cost-effective and secure manner.
  2. Big Data: The future scope of python programming language can also be predicted by the way it has helped big data technology to grow. Python has been successfully contributing in analyzing a large number of data sets across computer clusters through its high-performance toolkits and libraries.
  3. Artificial Intelligence (AI): There are plenty of python frameworks, libraries, and tools that are specifically developed to direct Artificial Intelligence to reduce human efforts with increased accuracy and efficiency for various development purposes. It is only the Artificial Intelligence that has made it possible to develop speech recognition system, interpreting data like images, videos etc.

 

Why Choose Python for Artificial Intelligence and Machine Learning?

Whether a startup or associate MNC, Python provides a large list of benefits to all. The usage of Python is specified it cannot be restricted to only one activity. Its growing popularity has allowed it to enter into some of the most popular and complicated processes like artificial intelligence (AI), Machine Learning (ML), natural language process, data science etc. The question is why Python is gaining such momentum in AI? And therefore the answer lies below:

 

Flexibility: Flexibility is one of the core advantages of Python. With the option to choose between OOPs approach and scripting, Python is suitable for every purpose. It works as a perfect backend and it also suitable for linking different data structures together.

 

Platform agnostic: Python provides developer with the flexibility to provide an API from the existing programming language. Python is also platform independent, with just minor changes in the source codes, you can get your project or application up and running on different operating systems.

 

Support: Python is a completely open source with a great community. There is a host of resources available which can get any developer up to speed in no time. Not to forget, there is a huge community of active coders willing to help programmers in every stage of developing cycle.

 

Prebuilt Libraries: Python has a lot of libraries for every need of your AI project. Few names include Numpy for scientific computation, Scipy for advanced computing and Pybrain for machine learning.

 

Less Code: Python provides ease of testing - one of the best among competitors. Python helps in easy writing and execution of codes. Python can implement the same logic with as much as 1/5th code as compared to other OOPs languages.

 

Applications of Python:

There are so many applications of Python in the real world. But over time we’ve seen that there are three main applications for Python

Web Development: Web frameworks that are based on Python like Django and Flask have recently become very popular for web development.

Data Science (including Machine Learning): Machine Learning with Python has made it possible to recognize images, videos, speech recognition and much more.

Data Analysis/Visualization: Python is also better for data manipulation and repeated tasks. Python helps in the analysis of a large amount of data through its high-performance libraries and tools. One of the most popular Python libraries for the data visualization is Matplotlib.

 

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APIs became so valuable it comprises an oversized part of several businesses’ revenue. Major companies like Google, eBay, Salesforce.com, Amazon, and Expedia are simply many of the...

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Python is one of the fastest growing programming languages. It has undergone more than 28 years of the successful span. Python itself reveals its success story and a promising futu...

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