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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 ...

Three Top RPA tools functional differences

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Robotic process automation is a grown-up area. Many IT developers across the board started up-skill in this popular area. This post is useful for Software developers who are interested in RPA (Robotic Process Automation). In my previous post , I have shared twelve RPA tools. Out of those, three tools are the most popular. Those are Automation Anywhere, BluePrism, and Uipath. This post covers differences in these tools. Blue Prism Blue Prism has taken a simple concept, replicating user activity on the desktop, and made it enterprise strength. The technology is scalable, secure, resilient, and flexible. It is has a comprehensive methodology, operational framework, and provided as packaged software. The technology is developed and deployed within a corridor of IT governance. It has sophisticated error handling and process modeling capabilities to ensure it can perform at scale within demanding, highly sophisticated operating environments. The combination of SOA/BPMS and Blue Prism pl...