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With artificial intelligence becoming smarter and smarter, the interest in NLP (natural language processing) has also been growing rapidly. Utilizing and developing the technology that helps machines understand and process human language has become a hot topic in many industries, because it has the potential to finally fill the gap in human-computer interactions.
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Fintech continues to be one of the most exciting sectors for growth and innovation. However, when it comes to software development, due to the complexity of building robust and secure applications that are compliant with stringent financial industry regulations yet still provide a seamless, highly functional, and beautiful user experience, it’s crucial that the right tools are used for the job.
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"The fastest-growing use of Python is for data science, machine learning, and academic research" - says a StackOverflow analysis. These are actually the biggest trends in tech recently. As we can read, "Python became a common choice for that purpose". Why did people fall in love with this general purpose programming language for research and data science? Well, there are many reasons.
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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 web apps with the Python language. It can be used to develop complex websites with vast databases, and it promotes fast 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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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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