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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 ...
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Automation Career Top Skills You need

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robotic software

Robotic process automation is an upcoming IT skill. Three tools are popular. It is difficult to learn all three tools. So, learn anyone's tool to start your career in automation.


To get a job in this line, I found in my research that some programming skills and Hand-on training on any one of the tools are required. Also, try to know the differences between popular RPA tools.

Skills Companies Looking in Automation Engineers


All big companies looking for candidates having experience in Automation Anywhere, Blue Prism, and UIPath. It is not possible to learn all tools. Learn anyone's tool and do practice well.


Ok.


You may ask a question about how to do it. Join in a good training institute and learn one tool.  Take online classes to learn faster.


To learn Uipath try here. Also, you can enroll in online courses to learn UiPath.

UiPath GO


The list of IT skills you need

  • Automation anywhere/Blue Prism/Uipath 
  • .Net/C#/Java/SQL skills 
  • MS-Visio 
  • Power Builder 
  • Python scripts/Unix Scripts/Perl Scripts 
  • HTML/CSS/JavaScript

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