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Why Python Is Perfect for Startups

Startups planning for product development need to consider many things when it comes to picking the right programming language. Often working on a tight budget, startups must carefully consider many factors: the speed of development, the popularity of language, the cost of developers, libraries, integrations, security, scalability, and stability. It is for these reasons that your best bet will be to go for a robust and established technology such as Python. 
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The new surge in Artificial Intelligence development has a strong impact on the InfoSec sector. However, there is much more nuance to it than you may think. Machine learning algorithms are not ready to take over on both sides of the fence. They are just a powerful tool that both security specialists and their adversaries use in their arms race.
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Illustrations are a powerful tool for your business that can be a real game changer. Is this statement not too bold? Surely, pictures can be a nice decoration of your product, website, app, publication. They can make it more aesthetic, eye-catching, user-friendly. But is it enough to call something “powerful for the business”?
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Are you looking to bring Machine Learning experts on board for your project? Expect to face a bit of a challenge. Data scientists who specialize in Machine Learning are in high demand today so finding and hiring talents will be a tough nut to crack.
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There are a lot of amazing design tools on the market. It’s important to make the right choice and match the tool with the task you want to accomplish to make your client happy. This article will give you a comprehensive overview of the best UX design tools currently available. Check out what these UX design agencies have to offer. Enjoy!
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How to Estimate a Machine Learning Project

Artificial Intelligence (AI) may add unparalleled value to your product, but it will make it more difficult and unpredictable to build for sure. To meet this challenge you need to partner with an experienced engineering and project management team to define and estimate the process of software development with exceptional precision. Here's an evaluation framework used by Netguru.
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Android has a whopping 85.9-percent share in the mobile OS market. Even if you’re an iPhone enthusiast yourself, these numbers can’t be argued with – Google’s operating system is an extremely important part of the modern technology landscape.
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React Native lets you build native mobile apps using only JavaScript. It uses the same design as React, letting you compose a rich mobile UI from declarative components. It basically allows you to reuse your code for writing apps for Android and iOS. “Write once, use everywhere” was one of the most popular slogans for this technology when it came out.
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Python is a programming language that has been around for quite a while now and has become very popular. However, it seemed like it wasn’t as much in the spotlight as some of the other languages, despite being used by Google. In reality, Python developers weren’t a hot commodity because the language itself wasn’t used widely as some of the others, such as JavaScript, Java, C, or C++.
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Two programming languages probably couldn’t be more different from each other than Python and PHP. The former is hailed for its simplicity and straightforwardness, while the latter is often criticized for its quirks and tendency to generate spaghetti-like codebases. Python brings to mind modern applications such as machine learning and data science, while PHP is mostly associated with old-timey web development and old-school discussion forums. Still, both remain popular and have their benefits and disadvantages. In this blogpost, we’ll try to present a fair comparison of Python and PHP, taking into account a number of factors which you should consider when choosing the language for your new software project.
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