ArjanCodes

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ArjanCodes

ArjanCodes

@ArjanCodes

I help people become better at software development and design.

Utrecht Katılım Eylül 2014
48 Takip Edilen3.8K Takipçiler
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nebu@Nebulonit·
"Have you heard of GPT Engineer? It's a new tool that developers are creating so we can replace ourselves faster than ever before." This made me laught 😂😭 @ArjanCodes
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ArjanCodes@ArjanCodes·
Pandera SchemaModel works with Pydantic! 🐍 To take advantage of this integration, you can specify a SchemaModel in a Pydantic BaseModel. With Pandera v0.10.0 or higher, you can do the opposite as well. To learn more about Pandera, click here: youtu.be/-tU7fuUiq7w #Pandera
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ArjanCodes@ArjanCodes·
Don’t add or remove elements from a user interface on the fly. While it may seem convenient to show or hide elements based on user interactions, it also creates confusion and frustration for the user. For more UX design tips, follow me on Instagram: instagram.com/arjancodes #UX
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ArjanCodes@ArjanCodes·
It looks like it's International Broken Software Day. Nothing is working: Final Cut Pro crashes, my bank app is offline, and Dropbox isn't syncing my files anymore. Time to go home.
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ArjanCodes@ArjanCodes·
Poetry makes it easy to build and publish Python packages. You can build a package using ‘poetry build’ and publish it to PyPI using ‘poetry publish’. If you want to learn more about virtual environments and poetry, follow me on Instagram: instagram.com/arjancodes #poetrypython
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ArjanCodes@ArjanCodes·
It can be tricky when different packages in Python run into compatibility issues. With poetry, you can easily create virtual environments in Python and say goodbye to the problem for good! Watch this week’s video to learn more: youtu.be/0f3moPe_bhk #virtualenv #poetry
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ArjanCodes@ArjanCodes·
Trying to print variable names for debugging in Python? Here's a quick and easy tip: use the {var=} syntax in f-strings instead of {var} to easily print out the variable name and its value. For more f-strings tips, follow me on Instagram: instagram.com/arjancodes #FstringsPython
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ArjanCodes@ArjanCodes·
If you have a column with a small number of unique values, consider using the category data type. This can significantly reduce the memory usage of the column. To learn more tips about pandas’ data types, see my Instagram post: instagram.com/arjancodes #pandas #datatypes
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