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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

How to Access Dictionary Key-Value Data in Python

Use for-loop to read dictionary data in python. Here's an example of reading dictionary data. It's helpful to use in real projects.


Sample Program to Read Dictionary


Python program to read dictionary data

yearly_revenue = {

   2017 : 1000000,

   2018 : 1200000,

   2019 : 1250000,

   2020 : 1100000,

   2021 : 1300000,

 }

total_income = 0

for year_id in yearly_revenue.keys():

  total_income+=yearly_revenue[year_id]

  print(year_id, yearly_revenue[year_id])


print(total_income)

print(total_income/len(yearly_revenue))


Output


2017 1000000

2018 1200000

2019 1250000

2020 1100000

2021 1300000

5850000

1170000.0



** Process exited - Return Code: 0 **

Press Enter to exit the terminal


Explanation

The input is dictionary data. The total revenue sums up for each year. Notably, the critical point is using the dictionary keys method.


References

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