Python In AI - A Powerful Integration
Artificial Intelligence is a booming sector of Information Technology. AI has gained a lot of popularity over the years and now finds itself a part of various sectors even outside the IT industry. Smartphones have also helped it insert itself into the daily lives of most people.
Python is a popular language that is preferred by computer scientists and data scientists worldwide. The language offers many advantages that make it ideal for tasks involving large amounts of codes and is also very easy to master as well as reliable in execution.
Advantages of Python - At A Glance
Python is simpler than most languages and requires less code to be written for executing any program or building platforms. As compared to more popular languages like C and, using python saves a significant amount of code, and directly translates to less time spent in building and execution. Therefore, even though python is slightly slower than languages like C, the fact that it is easier and takes less time to build more than makes up for it.
Python is also one of the most flexible languages out there. It works across a variety of platforms and can adapt to be suitable for various situations and tasks. Python is platform-independent, which makes it convenient to work with across all platforms and add to mobility as well. Parts of the same program can be coded and executed across different platforms and operating systems, ensuring their suitability for all users. It also allows the programmer to choose between object oriented programming as well as scripting, which saves a lot of time and effort, and IDE is available to check for most programs, which helps coders a lot.
Diverse List Of Python Libraries
This is perhaps the most attractive feature that Python has to offer. It has a plethora of inbuilt libraries which are a boon for programmers struggling with lines and lines of code. These libraries perform many functions that are useful across all fields in IT, such as data sciences, app building and web development.
There are libraries fit for every task, and Artificial Intelligence is no exception. It even has a specific library for Machine Learning functions, called Pybrain. Other popular libraries include Numpy for scientific computation and Scipy for advanced computation.
The Vibrant Community
This is a general advantage that Python has due to its popularity. Python enjoys a lot of support online, and most of this support is from online communities of programmers and computer scientists. Python has a large fanbase of helpful individuals who are all eager to learn and are helpful enough to support to clear doubts, or even fix codes. This vibrant community is the heart and soul of python and helps bring more people into it.
Python for AI - A perfect Combo!
The role of python as the go-to language for AI/ML applications have been growing for years. Python is a strong language overall and offers unparalleled ease and flexibility as a programming language. Though it is not perfect, it’s advantages have attracted many engineers to use python for the following applications.
Python Libraries and AI
The large number of open source libraries that python boasts of is a key player in many AI programs using python. There are many examples of this, and the most notable ones are as follows.
NumPy is perhaps the single most important and useful library in python and finds its application in almost all Python programs. It can be a storage space for generic data and help call some very frequently used functions. It is the most versatile tool for scientific computation, it has N-Dimensional arrays, fourier transforms, random number capabilities and many other functions.
Other equally useful libraries are pandas, which provide easy to use data structures and analytic tools, and matplotlib which, as the name would imply, assist in creating graphs and mathematical plots of high quality via a Graphical User Interface.
Certain python libraries used exclusively for AI applications are AIMA, pyDatalog and SimpleAI among others. This shows that Python is well equipped to handle tasks and create AI solutions. Any AI expert can vouch for the benefit of having a large number of pre-existing libraries at their disposal.
Python in Practice - Diverse Practical Applications
Python is used in building many popular websites and applications such as Instagram, Facebook, YouTube and Gmail. The versatility of the language makes it easier to use it to cover multiple aspects in the same code. Since python is a glue language, it also makes it easier to add parts of code from other languages to it.
Most websites today which is built using Python uses some form of Machine Learning or the other. Whether it is suggesting new content or targeted advertising, they all involve steps of data analytics. The same tool that is used to perform this function can also be used for building and integrating AI into a platform.
TensorFlow, designed by the members on the Google Brain team, is a system that facilitates ML in Research, to help make a smooth transition from research prototype to production. Scikit-learn contains simple, open-source tools for data mining and analytics. Theano is essentially a calculator that can help the user define, solve and optimize complex mathematical expressions using multidimensional arrays. All these make use of Python as the foundation, the language used to build them. More examples can be found here.
The Verdict - Python Amplifies The Power of AI
Python has disrupted almost all fields of Information Technology, and has proved to be capable of keeping up with the times, no matter what new applications arise for it. This refreshingly simple, yet powerful language shows promise and infinite capabilities, which are still being explored. AI is yet another crown jewel for python. Proficiency in the language is a must have for all aspirants in the field.
Find exciting Python interview questions for data scientist positions that are for beginners or someone who is looking for more challenging tasks.