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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
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Course Topics You Need to Know Before You Take Course on Excel

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Hey, you want to be master in Excel. There are 4 parts in this course. These contents cover all the functionalities you need to work with Excel.
Excel is one of the tools to be used in data analytics
Why I have given contents means these you must ask your tutor if present in the course or not. This list useful to start a career in analytics.

List of Excel Course Topics

Part-1 - Importing Data from other sources

  • Import or Export data from multiple data sources

Part-2 - Converting data Excel ready

  • Formatting the data understand by EXCEL.

Part-3 - Data Mining

  • Formulas you need for Data cleaning.

Part-4- Excel Data Analysis Tools

  • Data analysis using statistical methods, Charts and Pivot Tables

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