Why Python
Python is an easy-to-learn, human readable programming language that is extremely versatile with a rich, robust, and active supporting community. Python is often the language of choice for website and web service development, app development, task automation, data analysis, and data visualization. Its fast learning curve and ease of use make it a great first programming language. But it is by no means an entry level language, supporting full object oriented design when development teams need it it. Python is scalable, extensible, and portable making it a great choice for many web connected app development projects.
Python and Data Science
That coupled with the rich community of data science and machine learning libraries have made it the language of choice for many data scientists. In fact, some estimates say nearly 70% of data scientists and machine learning developers use python. Python has hundreds of libraries and frameworks to make coding easier, and many specific to data science needs. Python is a great choice for complex data cleaning, data preparation, and data collection tasks, as well as performing actual data analysis, and programmatically creating compelling visualizations.
Python for AI and Machine Learning
Python’s popularity amongst data scientists has translated to rich support for machine learning in the language. There are a number of libraries and frameworks for machine learning tasks such as handling and transforming data, building and evaluating models, and creating pipelines for continuous data processing. These capabilities, coupled with python’s flexibility allow you build powerful AI and machine learning implementations, and easily deploy them as apps, to the web, or as web services.
