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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 and the value in a loop, enumerate is a more Pyth

3 top IT Skills every new IT Professionals learn to progress in software career

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What are the skills needed by the new IT professionals or job seekers who help the  organisation  transition to IT-as-a-Service.  In order  to lead their  organisations  to the cloud, IT professionals must focus on three fundamental areas: Core  Virtualisation  Skill Sets IT professionals must think and operate in the virtual world. No longer can they be tied to the old paradigm of physical assets dedicated to specific users or applications. They must think in terms of “services” riding on top of a fully virtualized infrastructure, and how applications will take advantage of shared resources with both servers and storage. This requires comprehensive skills in both server and storage virtualization technology, and enough experience as a practitioner to understand the intricacies and critical elements of managing virtual platforms. Rules of Old IT and New IT Cross-training Competency Leaders of IT innovation cannot be completely siloed and hyper-focused. Although there will