codediesel Data and Databases
Time 2021-10-24 18:04:05Web Name: codediesel Data and Databases
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keywords: description: Skip to main contentA recent project required me to write a automated SSL certificate checker that would ping me every-time a SSL renewal is due. The project required to parse a handful of client sites and get the SSL information.
Reading a SSL certificate directly from a domain is relatively simple in PHP. A working example function is given below.
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Unlike many other fields data-science projects should start with focused questions. A table of data is not of much use in itself unless we analyse and understand it with a specific goal in mind. Without a predefined goal we would not know where to start what to look for in the data, how to analyze it, what extraneous elements should be removed etc.
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For the past several years I’ve regularly consumed Pantoprazole a proton pump inhibitor (PPI) to control my acid reflux. However, as it is well know, regular PPI use causes various health problems. I’ll not enumerate those here, but trust me when I say that they are numerous. Last year I decided to wean myself off PPIs slowly, by only limiting to a 20mg dose on any single day, and alternating or dropping some days completely. I recorded my dosage information in Google calendar on my mobile, so that I could process it later. Now that I’ve a more than a year’s data with me I thought of visualizing it to get an understanding of my dosage habits.
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The following short PHP code will enable you to extract urls from a standard WordPress xml sitemap or any other website sitemap adhering to the sitemap schema.
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Missing data in databases can cause bugs in applications or incorrect calculations. Recently, while working on a RETS application, I needed to ensure that not many missing values were encountered in one of the MySQL tables. Although one could easily write a SQL query to find the percentage of missing values, I many times find it easier to first get a visual representation of the amount of missing data there is in the table, and then drill-down further if required. One library that I found that lets you easily get a visual representation of missing data in your database tables is missingno a Python library.
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A recent debugging session on a web application surfaced a recurrent issue in database design that of assigning a wrong data type to a database field.
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Recent Posts Reading SSL certificates in PHP Questions as an initiator of data projects Yearly medicine dosage visualization Quickly extract urls from a xml sitemap file Visualizing missing data in databases Pitfalls of assigning a wrong data type to a database column
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