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Your next step will be to explore k-means clustering and also gather knowledge about decision trees, continuous numeric prediction, logistic regression, etc. You can use matplotlib to up to 6 graphical users interface toolkits, web application servers, and Python scripts. Matplotlib is another service which is a 2D plotting library creating publication quality figures. NumPy is used as a container for generic data comprising of an N-dimensional array object, tools for integrating C/C++ code, Fourier transform, random number capabilities, and other functions.Īnother useful library is pandas, an open source library that provides users with easy-to-use data structures and analytic tools for Python. Python along with packages like NumPy, scikit-learn, iPython Notebook, and matplotlib form the basis to start your AI project. You can also use IDE itself to check for most codes and is a boon for developers struggling with different algorithms.

Python is platform Independent and is hence one of the most flexible and popular choiceS for use across different platforms and technologies with the least tweaks in basic coding.Python developers around the world provide comprehensive support and assistance via forums and tutorials making the job of the coder easier than any other popular languages.Python has Prebuilt Libraries like Numpy for scientific computation, Scipy for advanced computing and Pybrain for machine learning (Python Machine Learning) making it one of the best languages For AI.No wonder it is one of the most popular in the market today.
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Python offers the least code among others and is in fact 1/5 the number compared to other OOP languages. The obvious question that we need to encounter at this point is why we should choose Python for AI over others. Let us now look as to how using Python for Artificial Inelegance gives us an edge over other popular programming languages. Python is available for all Operating Systems and also has an open-source offering titled CPython which is garnering widespread popularity as well. Python also features dynamic type system and automatic memory management supporting a wide variety of programming paradigms including object-oriented, imperative, functional and procedural to name a few. Python is also a General-purpose programming language which means it can be used across domains and technologies. High-level languages deal with variables, arrays, objects, complex arithmetic or Boolean expressions, and other abstract computer science concepts to make it more comprehensive thereby exponentially increasing its usability. It is a High-Level Programing language and can be used for complicated scenarios. This makes it comprehensive enough for the language to be interpreted by an emulator or a virtual machine on top of the native machine language which is what the hardware understands. Python is an Interpreted language which in lay man’s terms means that it does not need to be compiled into machine language instruction before execution and can be used by the developer directly to run the program. Let us look at why Artificial Intelligence with Python is one of the best ideas under the sun. In our endeavour to identify what is the best programming language for AI and neural network, Python has taken a big lead.

Guido Van Rossum created it in 1991 and ever since its inception has been one of the most widely used languages along with C++, Java, etc. Python is one of the most popular programming languages used by developers today.

Python and Artificial Intelligence(AI) – How do they relate? Want to join us? Search current openings, check out the recruitment process, or email your resume.
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