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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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IT Skills you need to get top jobs in e-commerce

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Technology and digital marketing-related skills are in huge demand as e-commerce companies have got big-ticket investments. IT Skills for e-comm jobs Technologies in Demand Domestic consumption of technology, especially in mobile telephony, is on the rise.  The traditional IT services sector is likely to see a spurt in hiring as demand revives in Europe, along with expected economic turnaround at home. Hot in Demand IT areas According to Teamlease, this category will provide opportunities for a wide range of people: beginning with IT infrastructure managers mobile developers on IOS, Android, and Windows languages like Python, Ruby on Rails, HTML, and CSS  IT security cloud computing professionals. Experience developing applications using technologies such as Java, Node.js, HTML5, JavaScript, SpringBoot, Tomcat, and Selenium.
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2 Top Skills You Need For E-commerce

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The following skills are must for every data analytics engineer to be successful in e-commerce companies. Many software engineers are struggling to get this information. I am giving here both technical and general skills. 1# Technical Skills for Analytics Career What skills they need to be successful in their analytics career. The skills required to get an entry into the Analytics job are here for your reference. I have told in my previous posts that there are many branches in analytics . You need to apply domesticated techniques to extract actionable knowledge. 2# General Skills I have selected the following mindset and skills that you need to get a job in data analytics. These are proven skills. Set a clear goal to acquire these skills. Strong interpersonal, oral and written communication and presentation skills;  Ability to communicate complex findings and ideas in plain language  Being able to work in teams towards a shared goal;  Ability to change direction quickl
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