Friday, August 4, 2017

Best IDE for Machine Learning Programming

Today we are going to explore the new IDE's for Machine Learning. In 2017 Machine Learning skill's is on top of the skill people searching for and want to learn. Today we are going to list some of the IDE's and some best features they are providing to use in Machine Learning.

Best IDE for Machine Learning Programming
Best IDE for Machine Learning Programming 


JuPyter/IPython Notebook

  • It is open source.
  • It can support up to 40 languages, and it includes languages popular for data science such as Python, R, Scala, Julia, etc.
  • It allows one to create and share the documents with equations, visualization and most importantly live codes.
  • There are interactive widgets from which code can produce outputs such as videos, images, and LaTeX. Not only this, interactive widgets can be used to visualize and manipulate data in real-time.
  • It has got Big Data integration where one can take advantage of Big Data tools, such as Apache Spark, from Scala, Python, and R. One can explore the same data with libraries such as pandas, scikit-learn, ggplot2, dplyr, etc.
  • The Markdown markup language can provide commentary for the code, that is, one can save logic and thought process inside the notebook and not in the comments section as in Python.
Best IDE for Machine Learning Programming
Best IDE for Machine Learning Programming 

PyCharm

  • It includes creative code completion for classes, objects and keywords, auto-indentation and code formatting, and customizable code snippets and formats,
  • It shows on-the-fly error highlighting (displays error as you type). It also contains PEP-8 for Python that helps in writing neat codes that are easy to support for other languages.
  • It has features for serving fast and safe refactoring.
  • It includes a debugger for Python and JavaScript with a graphical UI. One can create and run tests with a GUI-based test runner and coding assistance.
  • It has a quick documentation/definition view where one can see the documentation or object definition in the place without losing the context. Also, the documentation provided by JetBrains is comprehensive, with video tutorials.
Best IDE for Machine Learning Programming
Best IDE for Machine Learning Programming 


Spyder

  • It is open source.
  • Its editor supports code introspection/analysis features, code completion, horizontal and vertical splitting, and goto definition.
  • It comes with Python and IPython consoles workspace, and it supports debugging runtime, i.e., as soon as you type it will display the errors.
  • It has got a documentation viewer where it shows documentation related to classes or functions called either in editor or console.
  • It also supports variable explorer where one can explore and edit the variables that are created during the execution of file from a graphic user interface like Numpy array ones.
Best IDE for Machine Learning Programming
Best IDE for Machine Learning Programming 


Rodeo

  • It makes it easy to explore, compare, and interact with data frames and plots.
  • The Rodeo text editor comes with auto-completion, syntax highlighting, and built-in IPython support so that writing code gets faster.
  • Rodeo comes integrated with Python tutorials. It also includes cheat sheets for quick material reference.
Best IDE for Machine Learning Programming
Best IDE for Machine Learning Programming 


Geany

  • Its editor supports syntax highlighting and line numbering.
  • It also comes with features like auto-completion, auto closing of braces, auto closing of HTML, and XML tags.
  • It includes code folding and code navigation.
  • One can build systems to compile and execute the code with the help of external codes.

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