But if you’re new to programming or just want to improve your skills, here are some tips that will make you laugh out loud:
1. Don’t take yourself too seriously
Python is not the most serious language out there (looking at you, C++). It’s meant to be fun and easy to use! Just keep practicing and eventually you’ll become a Python pro
2. Use whitespace to your advantage
Python is known for its use of whitespace, which can be both a blessing and a curse. On one hand, it makes code easier to read and understand. But on the other hand, too much whitespace can make your code look cluttered and messy. So use whitespace strategically add some extra space around important lines or functions, but don’t go overboard!
3. So if you’re stuck on a problem or just want some advice, reach out to other Python users online (or in person)! They might have some tips that can save you time and frustration
4. Use comments sparingly
Comments are great for explaining what your code does but they’re not always necessary. In fact, sometimes too many comments can make your code harder to read and understand! So use comments only when absolutely necessary (and be sure to keep them concise and clear)
5. Don’t reinvent the wheel
Python has a huge library of modules that you can use to simplify your code and save time. So before you start writing your own functions or classes, check to see if there’s already an existing module that does what you need! This will not only make your code more efficient but also help you avoid common mistakes
6. Use descriptive variable names
Variable names are important because they tell other developers (and future versions of yourself) what the variables do and how to use them. So be sure to choose names that are clear, concise, and easy to remember! For example: “total_sales” is better than “totalsale” or “_ts”.
7. Use functions for complex tasks
Functions can help you break down your code into smaller, more manageable pieces which makes it easier to debug and maintain over time. So use functions whenever possible (and be sure to give them descriptive names)! For example: “calculate_total_sales” is better than “totalsale”.
8. Use list comprehensions for looping
List comprehensions are a powerful tool in Python that can help you write more concise and efficient code. So use them whenever possible (and be sure to understand how they work)! For example: [x*2 for x in range(10)] is better than using a traditional loop.
9. Use try-except blocks for error handling
Try-except blocks are another powerful tool in Python that can help you handle errors and exceptions more gracefully. So use them whenever possible (and be sure to understand how they work)! For example: try: x = int(input(“Enter a number: “)) except ValueError: print(“Invalid input”)
10. Use docstrings for documentation
Docstrings are an important part of Python code because they help other developers (and future versions of yourself) understand what your code does and how to use it. So be sure to include clear, concise descriptions in your docstrings! For example: “””This function calculates the total sales for a given list of transactions.””” def calculate_total_sales(transactions):
# …