The more companies and individuals use Python, the more resources will be built around it to help developers perform complicated tasks without a lot of coding difficulties. Python is an open source language, and in recent years it has grown in popularity due to its use in data science. According to several sources, Python has one of the largest and most active online communities of students and professionals. Often, people worry that they will spend time learning something and that it will eventually die out, wasting the effort.
Whether you want to work for Google building their next global app, or you want to work for the next unicorn start-up, Python opens doors to companies of all shapes and sizes. In recent years, many packages for data analysis and machine learning have been developed using Python. Python is used in a variety of fields, from web and game development to machine learning, AI, scientific computing and academic research. Given the uses of Python in many industries and applications - and its recent explosive use in data science, machine learning and AI, Python is on a significant growth trajectory.
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In the next Project Pro, we're going to practice Python inputs and printouts so you can hone your skills and feel confident to take them into the real world. Although I eventually learned how, in the process of learning Python for my job, I was presented with different job opportunities where I could use Python, and I heard about different companies looking for people with Python experience. Netflix talked about their uses of Python in everything from their content delivery network (CDN) to their monitoring systems. My personal favourite language of all time and here are five reasons why I think you should start learning Python too.
