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Top Programming Languages for Data Science.

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  Top Programming Languages for Data Science. 1.  Python Source —  Python Python  holds a vital place among the  top tools for Data Science   and is often the go-to choice for a range of tasks for domains such as Machine Learning, Deep Learning, Artificial Intelligence, and more. It is object-oriented, easy to use and extremely developer-friendly thanks to its high code readability. Python’s vast ecosystem of  rich libraries  and implementation for various purposes makes it a genuinely multi-faceted option. Some other key standout features offered by Python include: ●  Support for powerful Data Science libraries such as  Keras, Scikit-Learn, matplotlib, TensorFlow  and more ●  Perfectly suited for tasks like  data collection, analysis, modeling , and  visualization ●  Supports numerous file export and sharing options ●  Comes with a strong community for getting support The joy of coding Python shou...
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The Best Programming Languages for AI.

  The Best Programming Languages for AI 1. Python When it comes to AI programming languages,  Python  leads the pack with its unparalleled community support and pre-built libraries (like NumPy, Pandas, Pybrain, and SciPy) that help expedite AI development. For example, you can leverage proven libraries like  scikit-learn  for ML and use regularly updated libraries like  Apache MXNet ,  PyTorch , and  TensorFlow  for DL projects. For  Natural Language Processing (NLP) , you can go old school with  NLTK  or take advantage of lightening-fast  SpaCy . Python is the leading coding language for NLP because of its simple syntax, structure, and rich text processing tool. However, while it’s sometimes referred to as the  best programming language for AI , you’ll have to look past its five different packaging systems that are all broken down in different ways, some white spacing issues, and  the disconnect between Python 2...
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