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Python (British pronunciation: /ˈpaɪθən/, US pronunciation: /ˈpaɪθɑːn/) is an interpreted, object-oriented programming language created by Dutch programmer Guido van Rossum in 1989. It was first publicly released in 1991 and has since evolved into one of the most widely used languages in the world. Python is completely open-source software, with its reference implementation, CPython, licensed under the GNU General Public License (GPL). One of Python’s most distinctive features is its use of whitespace for code indentation, which enforces clean and readable code structure. Python boasts a vast and powerful standard library, making it highly versatile. It's often referred to as the "glue language" because it can easily integrate with other programming languages, especially C/C++. For example, performance-critical parts of an application, such as 3D graphics rendering, can be written in C or C++ and then wrapped into Python modules. However, when using these extensions, developers must be mindful of platform-specific limitations, as not all libraries are cross-platform. In July 2017, Python topped the IEEE Spectrum ranking of the most popular programming languages, highlighting its widespread adoption. This popularity isn’t just due to its technical strengths—it also reflects its growing influence in fields like data science, artificial intelligence, and web development. Over the past decade, Python has seen explosive growth, particularly in China. In 2010, Python was still considered a niche language, but by 2017, its Baidu search index had grown tenfold. Today, it's nearly on par with Java in terms of popularity. The rise of Python in China can be attributed to several factors, including the booming cloud computing industry, the rise of startups, and the explosion of AI and big data. From 2012 to 2014, cloud computing became a major trend, with platforms like OpenStack—built primarily in Python—driving demand for Python developers. From 2014 to 2015, the "mass entrepreneurship and innovation" movement fueled the growth of O2O and P2P startups, where Python's fast development cycle made it a top choice. Then, in 2016 and 2017, AI and machine learning took off, with Python becoming the go-to language for deep learning and data analysis. Another factor behind Python’s success is its simplicity and flexibility. Unlike Ruby on Rails or Java, Python doesn’t rely on a single "killer app." Instead, it thrives across multiple domains, from web development and system automation to scientific computing and game development. It also benefits from a large, active community that continuously expands its ecosystem with thousands of third-party libraries. While newer languages like Go offer high performance and concurrency, Python’s ease of use and rapid development make it more appealing for many projects. Even when performance becomes an issue, Python can seamlessly integrate with C or C++ to handle the heavy lifting. In short, Python's success stems from its versatility, readability, and strong community support. Whether you're building web apps, automating tasks, analyzing data, or developing games, Python offers a powerful and flexible toolset. Its broad applicability and continuous evolution ensure that it will remain a dominant force in the programming world for years to come.

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