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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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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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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 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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8 Top Python App Examples from Top-notch Companies

Even if you’re not a programmer, you’ve probably heard of the Python language at some point. Created in 1991, it has evolved quite a lot (we’re at version 3.6.5 now) and won over many enthusiasts. Python fans like it for its simplicity and beauty. Two mottos: ‘beautiful is better than ugly’ and ‘simple is better than complex’ are part of the language’s core philosophy summarised in The Zen of Python. Python is also versatile. As a multi-paradigm language, it allows developers to build their programs using multiple approaches, including both object-oriented programming and functional programming. No wonder then that so many tech giants use Python to develop their products. Read on to learn about the top 8 companies that use Python in their business!
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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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Why Python is growing so quickly - Future trends

Some programming languages are more popular, others not so much. According to Stack Overflow, Python, which has already achieved substantial popularity, is also the fastest-growing programming language. What does this mean?
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Node.js and Python are two established solutions for server-side application development. With either platform, your team can develop and manage web apps of any complexity and functionality. As an app owner, you might be wondering which tool to choose for your next project. The choice will not be easy, and to make the final decision you should be aware of the advantages and limitations of Node and Python, and, more importantly, understand cases and types of applications where Node.js could be better than Python, and vice versa.
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