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Machine learning is undoubtedly one of the hottest topics in software development right now. And for good reason. Machine learning opens up a whole world of new possibilities for developers, exciting app owners and end users alike. From greater personalisation to smarter recommendations, improved search functions, intelligent assistants, and applications that can see, hear, and react – machine learning can improve an app and the experience of using it in all manner of ways.
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Why is Python good for Blockchain?

Blockchain is conceivably one of the most disruptive technologies that have recently appeared on the tech scene. You'll find Blockchain at the core of Bitcoin and other cryptocurrencies that have enjoyed the spotlight for the last few years. But you will also find it in finance, Internet of Things applications, healthcare, and even government.
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Python has rapidly increased in popularity in recent years and is now one of the most widely used programming languages in the world. If you are considering using it for your next web development project, then you may also be aware of Python’s emerging rivalry with a younger language, Go.
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Python is so good that, instead of describing what it can do, it’s actually faster to say what Python can’t do. Python is good for a little bit of everything.
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Django is a popular back-end framework for building Python web apps. It can be used to develop complex websites with vast databases, and it promotes fast software development that’s perfect for high-velocity web projects. Many companies chose Django for just these reasons, including Instagram, The Washington Times, and Mozilla. So what’s the secret to Django’s high development speed? Find out how to estimate development speed and lower the costs of building your Django app.
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Python has enjoyed a steady rise to fame over recent years and is now jostling for the position of one of the most popular programming languages in the world. Favoured for applications ranging from web development to scripting and process automation, Python is quickly becoming the top choice among developers for artificial intelligence (AI), machine learning, and deep learning projects.
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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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Python vs. PHP Comparison

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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Let’s say that you’re at the very beginning of developing your app. Equipped with a solid business plan, you decide to go with Python, and you’re betting on the Django framework, ready to make the first decisions that will take this project from concept to reality. One of the most fundamental things to do at this stage is to find a Django-friendly hosting service.
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For many years, R has been the obvious choice for those going into data science. In recent years, something’s changed, however, and R got dethroned. How is Python challenging R’s well-established position and why is Python the king of data science now?
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Are you launching a development project and having a hard time choosing between Python and C#? Don't worry, we've got you covered.
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Top 10 Django Apps

Clear and simple, fast and reliable, flexible and scalable. The Django programming framework is great when it comes to building Python-based applications. As a fully-equipped, open-source toolkit with highly customisable architecture, it encourages quick development and simple code structure.
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Python vs. Java Comparison

The app development process involves countless decisions, though few are as important as the language you choose to bring your project to life. Two of the most popular and powerful programming languages in use today are Python and Java.
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Python vs. R for Machine Learning

Are you planning a machine learning project and deciding between Python and R? You’re in the right place. Python and R share many characteristics. They're the two most popular tools used by data scientists. They're both open-source and free. But while Python was designed as a general-purpose programming language, R was developed for statistical analysis. Read on to find out what are the pros and cons of Python or R for projects that take advantage of machine learning.
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What is Django Used For?

When it comes to web development, the framework you decide to use is vital. Django is a free, open source, high-end framework written in the famously simple, flexible, and relatively easy-to-learn Python programming language. Initially released in 2005, it’s used by thousands of programmers every year, owing to its friendliness to beginners and advanced users alike.
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If you’ve chosen to build your web app in Python, you’re in good company. Python is currently one of the most popular programming languages around, favoured for its clean, readable code, and flexibility. It is also in high demand because of its wide range of web frameworks that can take your project from idea to reality, in the fastest time possible. Two of the most widely used, are Flask and Django.
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Python Pros and Cons

Python is getting more attention than usual this year, becoming one of the most popular programming languages in the world. Is it a good choice for your next project? Let’s see some advantages and disadvantages of Python to help you decide.
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“There should be one - and preferably only one - obvious way to do it” - this is one of the most important principles of the Python programming language. Its simplicity translates to having more functions using fewer lines of code.
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Google, Amazon, Facebook, Uber, and more. The biggest global tech companies have Python in their tech stacks. Read the 12 short case studies to find out why the most successful founders chose Python, and how they use it now to scale up their operations and improve competitiveness.
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How to Find and Hire Good Python Developers

Whether you’re testing microchips or powering the latest equivalent of Instagram, there’s a good chance that Python will be high on your list of preferred programming languages. One of the most powerful and dynamic programming languages available today, Python is suitable for the development of everything from web and desktop applications, to data-driven, scientific, and artificial intelligence applications.
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