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The Quick and Easy Way to Analyze Numpy Arrays

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The quickest and easiest way to analyze NumPy arrays is by using the numpy.array() method. This method allows you to quickly and easily analyze the values contained in a numpy array. This method can also be used to find the sum, mean, standard deviation, max, min, and other useful analysis of the value contained within a numpy array. Sum You can find the sum of Numpy arrays using the np.sum() function.  For example:  import numpy as np  a = np.array([1,2,3,4,5])  b = np.array([6,7,8,9,10])  result = np.sum([a,b])  print(result)  # Output will be 55 Mean You can find the mean of a Numpy array using the np.mean() function. This function takes in an array as an argument and returns the mean of all the values in the array.  For example, the mean of a Numpy array of [1,2,3,4,5] would be  result = np.mean([1,2,3,4,5])  print(result)  #Output: 3.0 Standard Deviation To find the standard deviation of a Numpy array, you can use the NumPy std() function. This function takes in an array as a par
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The best career skills need for Social media platform

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#How-to-apply-social-media-analytics-for-all-it-developers Listening -  This one is still very much true, and perhaps even more so. The best social media pros listen the most actively and most aggressively. Pattern Recognition -  This is getting more and more critical as the data and complexity of social continues to ratchet up. Are these posts on our Facebook page a crisis in the making, or just noise? Where are the real-time marketing opportunities?  Instantly identifying patterns and being able to capitalize upon them  are some of the skills that separate good social practitioners from great ones. Visual Thinking -  This is perhaps the biggest change in the past year or two. Being a great writer was formerly a key characteristic of many social pros, as being able to coherently write in 140 characters isn’t as easy as it appears. Today, with every social network embracing visuals and multi-media,  being able to represent the brand visually is absolutely critical.  This i
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Infosys Looking for New Opportunities in Cutting Edge Software

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Analytical skills "I want us to be there in the great problems that are emerging around artificial intelligence techniques, deep data science and big data techniques, analytics and so on. New Opportunities Finding new energy sources, digital oil fields. This is the big thing in the minds of people in the oil and gas industry," Sikka said. Vishal Sikka also told that Infosys could build a computer like IBM's Watson from scratch. Watson is an artificially intelligent computer system that can answer questions posed in normal language and can be used to help make decisions. Watson Power In January this year, IBM announced that it would create a business unit around Watson. IBM CEO Virginia Rometty has said she wants Watson to be a $10 billion business. Read more here.
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Data science these IT skills you need to learn to get job

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The most lucrative analytics skills include MapReduce, Apache Pig, Machine Learning, Apache Hive and Apache Hadoop. Machine learning, big data, and data science skills are the most challenging to recruit for and potentially can create the greatest disruption to ongoing product development and go-to-market strategies if not filled. Image Courtesy|Stockphotos.io Great in demand it skills... Big Data (Information Technology): 3,977% Node.js (Design): 2,493% Tableau (Research and Analysis): 1,581% NoSQL (Information Technology): 1,002% Apache Hadoop (Information Technology): 704% HTML5 (Information Technology): 612% Python (Research and Analysis): 456% Oracle (Sales): 382% JSON (Information Technology): 318% Salesforce CRM (Sales): 292%
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