today's howtos and programming
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How to Install Postman on Debian 10
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freshclam[15552]: Can’t create temporary directory /var/lib/clamav/clamav-969944fd9a258fa7aff08976496d8541.tmp
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30 Linux Permissions Exercises for Sysadmins
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How to Check Linux Mint Version Number & Codename
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Four semanage commands to keep SELinux in enforcing mode
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How to start developing with .NET [Ed: Red Hat has totally lost it. It promotes Microsoft.]
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Constraint programming by example
There are many different ways to solve problems in computing. You might "brute force" your way to a solution by calculating as many possibilities as you can, or you might take a procedural approach and carefully establish the known factors that influence the correct answer. In constraint programming, a problem is viewed as a series of limitations on what could possibly be a valid solution. This paradigm can be applied to effectively solve a group of problems that can be translated to variables and constraints or represented as a mathematic equation. In this way, it is related to the Constraint Satisfaction Problem (CSP).
Using a declarative programming style, it describes a general model with certain properties. In contrast to the imperative style, it doesn't tell how to achieve something, but rather what to achieve. Instead of defining a set of instructions with only one obvious way to compute values, constraint programming declares relationships between variables within constraints. A final model makes it possible to compute the values of variables regardless of direction or changes. Thus, any change in the value of one variable affects the whole system (i.e., all other variables), and to satisfy defined constraints, it leads to recomputing the other values.
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Samuel Sutch: Why Python Has Become an Industry Favorite Among Programmers
With the world stepping towards a new age of technology development, it isn’t hard to imagine a future that will be full of screens. And if so be the case then, demand for people with strong programming skills will definitely rise with more number of people required to develop and support the applications. Python Training is always a good idea for those wishes to be a part of this constantly developing industry. Python language is not only easy to grasp, but emphasizes less on syntax which is why a few mistakes here and there doesn’t give as much trouble as some other languages does.
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Dilution and Misuse of the "Linux" Brand
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