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Python > Learn Python > Is Python presently a flexible language for AI?
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Is Python presently a flexible language for AI?

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Staff_Data Scientist_12 _years_Experience_PhD -Research -Scholar_IOT_EdgeComp

Python is the most popular language in 2017 according to IEEE spectrum report. As a general purpose language it has application in various domain like Cloud computing, web developement etc. Python is one of the best flexible language for AI. The wonderful libraries pf python like MatplotLIb , Seaborn,...
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Python is the most popular language in 2017 according to IEEE spectrum report. As a general purpose language it has application in various domain like Cloud computing, web developement etc. Python is one of the best flexible language for AI. The wonderful libraries pf python like MatplotLIb , Seaborn, Bokeh etc for visualization , Scikit Learn , Scipy etc libraries for stastistical and machine earning computing , Numpy and Pandas for data processing , Keras,Theano and TensorFlow for deeplearning, NLTK for NLP , OpenCv for computer vision and image processing and many more other libraries for AI . That is the reason its heavily used in Data Science and AI related field. read less
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Python is very easy to learn and it has grown significantly due to its huge community. people contribute to the python libraries day by day that's making it a better language which has all possible use cases. web application, network management scripts, automation etc., For AI and deep learning...
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Python is very easy to learn and it has grown significantly due to its huge community. people contribute to the python libraries day by day that's making it a better language which has all possible use cases. web application, network management scripts, automation etc., For AI and deep learning there so many mature libraries which help your talks to be pretty easy. Deep Learning Libraries Tensorflow Keras Caffe etc AI (computer vision) openCV read less
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Can anyone help me with the below programs: A) which returns orger summary as a list with 2- tuples. Each tuple consists of the order number and the product of the price per items and the quantity. OUTPUT: [ ('34587',163.8),('98762',284.0),('77226',98.85),('88112',74.97) ]. 10 INR should be increased in the product if the value of the order is smaller than 100.00 INR. OUTPUT: [ ('34587',163.8),('98762',284.0),(77226',108.85),('88112',84.97) ]
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