Why is python so hot _python is what _python uses and applications

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 become one of the most widely used programming languages in the world. Python is completely open-source software, with its reference implementation, CPython, licensed under the GNU General Public License (GPL). The language is known for its clean and readable syntax, which emphasizes the use of whitespace for code indentation, making it easier to understand and maintain. One of Python's greatest strengths is its extensive standard library and a vast ecosystem of third-party packages. This makes it a popular choice for rapid prototyping and development. Python is often referred to as a "glue language" because it can seamlessly integrate with other languages like C or C++. For instance, performance-critical parts of an application, such as 3D rendering in games, are often written in C/C++ and then wrapped into Python modules for easy integration. In July 2017, IEEE ranked Python as the top programming language, highlighting its growing influence across various industries. ![Why is Python so hot?](http://i.bosscdn.com/blog/27/49/55/7-1P1151H640406.jpg) **Why is Python so popular today?** A few years ago, Python was considered a niche language in China. However, from 2011 onwards, its popularity surged dramatically, with its Baidu search index increasing tenfold. According to recent data, Python’s popularity in China is now nearly on par with Java. ![Python vs. Other Languages](http://i.bosscdn.com/blog/27/49/55/7-1P1151HA5156.jpg) The rise of Python can be attributed to the growing number of training institutions and media coverage around it. A quick search for "Python" on Baidu shows numerous training ads, something not seen for other languages like Ruby or Go. In 2010, Python was mostly used by smaller companies like Douban and Sohu. Today, however, major global platforms such as Google, Instagram, Dropbox, YouTube, Reddit, and Quora rely heavily on Python for their core systems. ![Google Trends for Python](http://i.bosscdn.com/blog/27/49/55/7-1P1151HF6191.jpg) The sudden surge in Python’s popularity in China over the past few years can be traced back to three key stages: - From 2012 to 2014, cloud computing became a hot topic. OpenStack, one of the most popular open-source cloud platforms, was built using Python, leading to a surge in Python job opportunities. - Between 2014 and 2015, the "Mass Entrepreneurship and Innovation" campaign encouraged startups, and Python became the go-to language for fast prototyping. - From 2016 to 2017, AI and machine learning took off, with Python becoming the preferred language for these fields, especially after the success of AlphaGo. In recent years, web scraping has also played a big role in Python's growth. Most of the crawling tools and projects are built with Python, driven by the need for big data analysis and machine learning. ![Python Growth in China](http://i.bosscdn.com/blog/27/49/55/7-1P1151HGL00.jpg) So why is Python so popular, while other languages have not seen the same level of growth? Ruby on Rails was once very popular, but when asked about Python’s future, Guido van Rossum said, “Python doesn’t need a killer app because it’s already useful in so many areas.” Python excels in web development, data analysis, AI, machine learning, system automation, testing, and more. No other language has such a broad range of applications. ![Python Ecosystem](http://i.bosscdn.com/blog/27/49/55/7-1P1151HI5F2.jpg) Python is simple, powerful, and community-driven. Its rich library ecosystem allows developers to focus on solving problems rather than building infrastructure. Whether you're working on web frameworks, crawlers, data analysis, or machine learning, there's a tool available for you. If you're unsure where to start, check out "Awesome-Python" for a curated list of resources. While newer languages like Go offer better concurrency and performance, modern hardware has reduced the impact of language efficiency. Development speed is now more important, and if performance issues arise, Python can easily interface with C for optimization. Although Java remains dominant, its complex syntax and slow evolution have led many developers to seek alternatives, such as Kotlin for Android development. Python's success comes from its ability to provide a pleasant and productive coding experience, all driven by a strong and active community. **What are Python's main applications?** 1. **Web Application Development** With powerful frameworks like Django and Flask, Python is ideal for building web applications. Companies like Google, Dropbox, and domestic platforms like Watermelon and Fruit Shell use Python for backend services. ![Web Development with Python](http://i.bosscdn.com/blog/27/49/55/7-1P1151HK1B8.jpg) 2. **System Administration and Network Automation** Python is widely used in DevOps for automating repetitive tasks such as monitoring, deployment, and configuration management. Its simplicity makes it perfect for writing scripts that manage large-scale systems. ![DevOps with Python](http://i.bosscdn.com/blog/27/49/55/7-1P1151HP3139.jpg) 3. **Scientific Computing and Data Analysis** Python is a favorite in research and academia, with libraries like NumPy, SciPy, and Pandas enabling advanced data manipulation and analysis. Fields like bioinformatics, physics, and astronomy commonly use Python. ![Data Science with Python](http://i.bosscdn.com/blog/27/49/55/7-1P1151HQQ11.jpg) 4. **3D Game Development** While not the most common choice for AAA games, Python is used in game development through libraries like PyGame and Pykyra. Some indie games, such as Disney's Cartoon City, are built using Python. ![Game Development with Python](http://i.bosscdn.com/blog/27/49/55/7-1P1151HRS49.jpg) 5. **GUI Development** Python supports the creation of desktop GUIs with libraries like Tkinter, PyQt, and wxPython. It can even be used to develop Windows-specific applications. ![GUI Development with Python](http://i.bosscdn.com/blog/27/49/55/7-1P1151HSSZ.jpg) 6. **Network Programming** Python provides robust support for network programming, including low-level socket operations and high-level asynchronous frameworks like Twisted. ![Network Programming with Python](http://i.bosscdn.com/blog/27/49/55/7-1P1151HU0351.jpg)

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