So you have a great business concept for a terrific IT product or service, and you want to construct your high tech startup around it. Having the idea is a terrific start, but you will have to develop an IT solution/service to get your business off the ground; be it a website, software solution, social network, or mobile app. Which programs language to decide to compose these IT items is constantly the question to obtain the start-up going on a reasonable budget.

The truth is, you can write a wonderful product in any language, if you understand what you are doing. And when users are looking at a terrific product they actually don’t know which language was utilized to develop it, or the amount of code it took, nor do they care. However when it concerns time and budget plans, there are unique situations, like getting a startup off the ground, where the choice of a programming language can make a difference between success or failure.
 

Startup Specifics

How are startups different from other projects? Startups at the beginning of their journey are normally broke. Fifteen to twenty thousand dollars are budgets they often work with, however in the world of IT that may not be always practical, unless you choose Python. The 2nd standout feature is that startups don’t have a great deal of time on their hands to encourage partners and financiers in the capacity of the task. Third, they need to start making the product work immediately in order to make it through and make their first money. And, as you will find out next, startups are almost always complex undertakings, adding fuel to the fire.
 
Real Life Example
OpenERP, an open source enterprise resource planning software is written in Python. Because of the simplicity of the language, it helped drive the costs down and make the product appealing to small and medium startups. Modules are developed around editing Python files, which makes them easier, more versatile, and much faster not only to develop but to use. Because of Python’s succinct nature, the download size of OpenERP’s distributive archived is only 6MB. As you can see, an irresistible product was created which soon gained popularity with many users.
 

Complex Projects

Typical startups like media streaming projects or social networks are almost always web-based, and the web is driven by big data, be it video streaming of horror flicks or social networks for dog whisperers. Python is the language to tackle complexity. It is also ideal for web solutions. Integrating two systems together would usually take a lot of effort, but the simplicity of Python’s philosophy helps overcome this issue. This language is also a winner when it comes to scalability. For startups, it is essential to catch the wave of success while it lasts and if you can grow the business as you please, it can spell out good things for years to come.
 

Proof of Concept and Working Prototypes

Python provides ready solutions for big projects. Sometimes it is simpler to write something in Python and rewrite it later on in another language, if necessary. This give the startups the most valuable gift they require: time. Often trying to make a startup work is like being stuck in limbo– you are visiting a truly great location, but you are not there yet. So the faster the startup reaches the other end of the rainbow, the better. Python is a language that is great for writing prototypes. It doesn’t require much time and the working prototype is already there, while other programming languages can take too long to do the same. With a prototype, it is simple to see whether business concept really works or not, and can really save the startup a lot of trouble further down the roadway.
 
Real Life Example
Dropbox, a famous file hosting service, was begun by Drew Houston since he kept forgetting his USB memory stick as a student. He began the job for his personal ought to haves however since the product was so good, others began using it. Dropbox is written in Python, so a prototype was produced instantaneously, and soon funding was secured. In October 2011, Dropbox had actually 50 million registered users. In November 2012, the number of users reached 100 million.
 

Easy Code, Small Team

Python is an effortless language that allows programmers to write evidence of idea ‘with their eyes closed’. You do not need to collect a huge team of designers and designers to have a solid product on your hands. This gives startups a possibility to try various ideas and see them work in action. A working prototype is something that can provide them a terrific boost of confidence, and a passion to move forward, despite the exhaustion.
 
Real Life Example
Sometimes great projects begin when people are disillusioned with an old way of doing things. Similarly, Adrian Holovaty and Simon Willison were fed up with using PHP for building large websites, and became passionate about Python through a book Mark Pilgrim called Dive Into Python. Python tools for web development did not satisfy them either though, so they created their own, which later became the foundation for Django, a well-known free, open source web app framework that is easy-to-use and developer-friendly.
 

Easier Investments

When you have a working system, all you have to do is fix bugs later and get investment quickly. Startups are nothing without investors and their donations, so it is extremely important to show them what the product is everything about. No matter how huge a gap in the make you find or how loud the online buzz you create becomes, if you don’t have the investors on your side, the project will stay where it’s at. 80 % of the time proof of concept is only used to convince investors and is not used further in business. So the less you spend, and the faster you get it, the better.
 
Real Life Example
Various other very various, yet excellent items written in Python include BitTorrent, a peer-to-peer file sharing software; Cocos2d, an open source 2D game framework; Reddit, a social news and entertainment website; MyPaint, a free, open source raster editor for digital painters; MoinMoin, a wiki engine for creating public wikis (used by Ubuntu and Apache, to name a few); Mercurial, a cross platform, distributed revision control tool for software designers; and many others.
 

Faster First Money

With startups, you have to get to the market and start making money quickly, otherwise the job may flop. Due to the fact that Python is as fast as lightning, the earnings return is much faster if you likewise develop and support your startup in Python. The profit will likewise be larger, since the initial spending was lower.
 

Excellent Support Team

Python was created and is driven by lovers. Good custom support allows the product to be of stable high quality, and you know how detrimental even a small flaw or a crash can be. If you chose Python support, you will enjoy fast response rates, fast resolutions of technical problems, open mindedness and passion of specialists who are the biggest fans of their product.
 

Why Python for Startups

Startups are the sort of enterprises that have to strike while the iron is hot, because the competition is fierce and your moment to shine will not last forever. Python enables you to have a working, complex product in one or two months, with the help of a team of one or two people. You spend 15-20 K, and can get proof of concept or even a working prototype straight to investors to get the funds you need so desperately. You can start making money now and build the reputation of your business with the help of excellent support. Learning from the success of other startups that have gone global can also help you find the best solutions for your project.
 
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