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Showing posts with the label devops-testing-strategy

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15 Python Tips : How to Write Code Effectively

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 Here are some Python tips to keep in mind that will help you write clean, efficient, and bug-free code.     Python Tips for Effective Coding 1. Code Readability and PEP 8  Always aim for clean and readable code by following PEP 8 guidelines.  Use meaningful variable names, avoid excessively long lines (stick to 79 characters), and organize imports properly. 2. Use List Comprehensions List comprehensions are concise and often faster than regular for-loops. Example: squares = [x**2 for x in range(10)] instead of creating an empty list and appending each square value. 3. Take Advantage of Python’s Built-in Libraries  Libraries like itertools, collections, math, and datetime provide powerful functions and data structures that can simplify your code.   For example, collections.Counter can quickly count elements in a list, and itertools.chain can flatten nested lists. 4. Use enumerate Instead of Range     When you need both the index ...

Best Testing Practices You need for DevOps Projects

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Testing is the critical phase in DevOps. The process of DevOps is to speed up the deployment process. That means there are no shortcuts in testing. Covering most relevant test cases is the main thing the tester has to focus. Requirements  Good maintainable code Exhaustive coverage of cases Training documents to Operations team Fewer bugs in the bug tracker Less complex and no redundant code Testing Activities   The team to use Tools to check the quality of code Style checker helps to correct code style Good design avoids bugs in production Code performance depends on the code-quality Bugs in production say poor testing  Tester Roles  Good quality means zero bugs in production . Design requirements a base to validate testing results. Automated test scripts give quick feedback on the quality of code. Right test cases cover all the functional changes. The Bottom Line The DevOps approach is seamless integration between Developmen...