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Write an algorithm to input a natural number, n, and calculate the odd numbers equal or less than n. ... Design an algorithm and flowchart to input fifty numbers and calculate their sum. Algorithm: Step1: Start Step2: Initialize the count variable to zero Step3: Initialize the sum variable to zero Step4: Read a number say x Step 5: Add 1 to the number in the count variable Step6: Add the ..
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Writers Talk About Writing
Ctrl+Shift+Return: Keys to Your Computer
By Mike PopeOctober 15, 2012
Your computer's keyboard has around 110 keys by which you can make your wishes known to the machine. Most of these have obvious labels: if you press the A key, the letter A appears on the screen. Some are less obvious, though — the Shift key and the mysterious Ctrl key — and in this article I'll explore why they're named what they're named.
Long before computers, many practical issues about using a machine to write had already been worked out for the typewriter. If you've never used a typewriter, you might be interested in this video that shows one in action.
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Walmart has caught my attention many times, and definitely when I was reading a case study on it recently. The data that they have collected is from all over the world, and probably the most well planned as it originates from some very high level and good analytics, awesome queries and various other heterogeneous sources. And they have a very unique way of using this data. Being an Engineer however myself, I have studied Data warehousing and Data mining in detail as well as Machine learning. And Walmart first collects the data using Data warehousing, and then it cleans it using the statistics, artificial intelligence, machine learning and statistics, and finally makes a model using the machine learning. They call it all together Data science, and the collected data is being termed as big data, and it has all typos of data which includes images, text, video, sound, animations, and all. Apart from Walmart, you can think of all the social media sites, e-commerce sites, and a lot more. All are using the data warehousing, data mining and Machine learning all together.
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The answer is self explanatory.
A slow processors but the need more bytes