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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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Excel: 10 Key Topics You Need to Learn

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The below-listed topics help you get a solid footing in Excel Analytics. Just practice these 10 topics step by step and by completing all, you will be an expert in Excel.

Topics you need to learn in Excel
10 Top Excel Topics

  1. Tables in Excel 
  2. Grabbing data from external sources 
  3. Cleaning data with functions 
  4. Working with Pivot tables 
  5. Writing Formulae for Pivot tables 
  6. Pivot Charts 
  7. How to use database functions 
  8. How to use statistics 
  9. Inferential Statistics 
  10. Descriptive statistics

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