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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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How to Show Data Science Project in Resume Correctly

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The data scientist resume should have mentioned the project correctly. Here are my ideas on how to show the project in the resume. How to Show Data Science Project? 1. Preparation of Resume .  The first step for an interview for any project is you need Resume. You need to tell clearly about your resume.  2. Answering about Project.   In interviews, you will be asked questions about your project. So the second step is you need to be in a position to explain the project. 3. Answering your Project Role.  The third point is you need to explain the roles you performed in your data science project. If you mention the roles correctly, then, you will have a 100% chance to shortlist your resume. Based on your experience your resume can be 1 page or 2 pages .  4. Technologies in the Resume. In interviews, again they will be asked how you used different tools to complete your data science project. So, you need to be in a position to explain how you used different options present in the tools.  S
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Exclusive Ideas to Prepare Resume for IT-software Jobs

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Choosing the correct resume template is the first step to start. Then, the way of showing experience matters. Here are ideas to prepare a resume for all experience levels. The resume is the main document to showcase talent. Ensure that you have taken care while writing you used Plain English and checked for grammar errors. Better resume in four steps Classify a Resume Two page resume is idea for all level Template for freshers Template for experienced 1. Classify Your Resume. 0-1 Year experience. 1- 5 Year experience. 5-10 Year experience. 10-20 Years experience. 2. A Two-page Resume is ideal for all Jobs. A big question is how long a resume should be. A two-page resume is ideal for all experiences - If you just came from a college or an experienced one. 3. Template for Fresher Software Developers. I found some people give address, Date of birth, and four years of Degree marks - essentially No Need, just give your qualification and percentage. Add college projects, extra-curricula
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7 Amazing Ideas to Make Resume for First Job

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Resume writing is a skill. Out of a thousand applications, only a few would shortlist for the next process. Here are my ideas to provide in your resume before you send it out. Resume format How to make resume format Give Mobile number and E-mail on the top of your resume. Use MS-word to format it. Organize information using bullets wherever the need. Check Spell and Grammar. Two pages are ideal for any type of job. 7 Amazing ideas Detailed resume ideas Provide genuine-experience. Transferable skills such as Public-speaking, Customer-communication - good to mention. Provide previous experience in reverse order - last-in-first. Keep educational qualification after the experience. No need to mention weaknesses. Add awards you received during your employment. Not required salary details.
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