🐍 #PythonTip: Ever heard of *args and **kwargs in Python? They allow your functions to accept any number of arguments! Let's dive into how they work.🧵

jakubkcz's tweet image. 🐍 #PythonTip: Ever heard of *args and **kwargs in Python? They allow your functions to accept any number of arguments! Let's dive into how they work.🧵

You might deal with long strings that do not get printed nicely on screen. Enter 𝚝𝚎𝚡𝚝𝚠𝚛𝚊𝚙 #PythonTip

Marco_Piani's tweet image. You might deal with long strings that do not get printed nicely on screen.

Enter 𝚝𝚎𝚡𝚝𝚠𝚛𝚊𝚙

#PythonTip

#PythonTip 🐍🔥 Use `pathlib` to list all the files of a specific type in a folder. Here's an example:

driscollis's tweet image. #PythonTip 🐍🔥

Use `pathlib` to list all the files of a specific type in a folder.

Here's an example:

Stop guessing! Profile! #pythontip


Ever lost in nested loops? Here’s a solution - Python's List Comprehensions. They provide a concise way to create lists based on existing lists. Faster, more readable, and efficient! #PythonTip

PythonHQ's tweet image. Ever lost in nested loops? Here’s a solution - Python's List Comprehensions. They provide a concise way to create lists based on existing lists. Faster, more readable, and efficient! #PythonTip

🐍💻 #PythonTip: Dealing with null values is a common task in data analysis. Here are some popular methods to impute missing values in #Python: 1. Mean or Median Imputation: This method involves replacing the missing values with the mean or median value of the feature.

Arsalkhan9495's tweet image. 🐍💻 #PythonTip: Dealing with null values is a common task in data analysis. Here are some popular methods to impute missing values in #Python:
1. Mean or Median Imputation: This method involves replacing the missing values with the mean or median value of the feature.

🚀#PythonTip: List comprehensions can make your code more readable and efficient. See image for an example.

daryllukas's tweet image. 🚀#PythonTip: List comprehensions can make your code more readable and efficient. See image for an example.

🐍Final Daily #PythonTip for Beginners (#30): Do not give up! Python is not just a language; it's a passport to an ever-evolving world of technology. The learning journey may seem challenging at times but the rewards are immense. Enjoy the learning & never stop exploring.

MalamboMutila's tweet image. 🐍Final Daily #PythonTip for Beginners (#30): Do not give up!
Python is not just a language; it's a passport to an ever-evolving world of technology. The learning journey may seem challenging at times but the rewards are immense. 
Enjoy the learning & never stop exploring.

Unless you have python 3.12 where "batched" would be my option. This is a way to chunk a list in parts. #pythontip #pythonprogramming

AlfonsoAreizaG's tweet image. Unless you have python 3.12 where "batched" would be my option. This is a way to chunk a list in parts. #pythontip #pythonprogramming

📝🐍 Do you want to save a complex Python object to disk? Use 'pickle' to serialize it and save it as a file! 📁🔒 #PythonTip

ingosview's tweet image. 📝🐍 Do you want to save a complex Python object to disk? Use 'pickle' to serialize it and save it as a file! 📁🔒 #PythonTip

#Pythontip You can use a single underscore `_` as a throwaway variable in Python when you want to ignore the value of a variable in unpacking or iteration. This can improve code readability when you don't need the loop variable.

bytebard0x01's tweet image. #Pythontip
You can use a single underscore `_` as a throwaway variable in Python when you want to ignore the value of a variable in unpacking or iteration.

This can improve code readability when you don't need the loop variable.

📝🐍 #PythonTip: Want to exchange data between Python and other systems? Use the 'json' module to easily serialize and deserialize JSON data! 🔀

ingosview's tweet image. 📝🐍 #PythonTip: Want to exchange data between Python and other systems? Use the 'json' module to easily serialize and deserialize JSON data! 🔀

🐍📝 #PythonTip: Use 'enumerate' with list comprehensions to iterate over elements and indices of a list simultaneously. It's concise and Pythonic!⚡️

ingosview's tweet image. 🐍📝 #PythonTip: Use 'enumerate' with list comprehensions to iterate over elements and indices of a list simultaneously. It's concise and Pythonic!⚡️

📝🐍 Sending complex Python objects over the network? Use 'pickle' to serialize them into bytes and transmit them as binary data! 📡🤝 #PythonTip

ingosview's tweet image. 📝🐍 Sending complex Python objects over the network? Use 'pickle' to serialize them into bytes and transmit them as binary data! 📡🤝 #PythonTip

🐍📝 #PythonTip: Counter from 'collections' module is a convenient way to count the occurrences of items in a list, dictionary, or any iterable. 🤯

ingosview's tweet image. 🐍📝 #PythonTip: Counter from 'collections' module is a convenient way to count the occurrences of items in a list, dictionary, or any iterable. 🤯

Did you know that you can use the built-in Python function zip() to combine two or more lists into a single list of tuples? It's a great way to simplify your code and make it more readable. #PythonTip #CodeSimplification

PyDjazair's tweet image. Did you know that you can use the built-in Python function zip() to combine two or more lists into a single list of tuples? It's a great way to simplify your code and make it more readable. #PythonTip #CodeSimplification

🐍📝 #PythonTip: OrderedDict from 'collections' module remembers the order of items insertion, making it useful for dictionaries that depend on order. 🤔

ingosview's tweet image. 🐍📝 #PythonTip: OrderedDict from 'collections' module remembers the order of items insertion, making it useful for dictionaries that depend on order. 🤔

📝🐍 #PythonTip: Improve the performance and scalability of your code by using the 'asyncio' module to write asynchronous code with coroutines and event loops! 🚀

ingosview's tweet image. 📝🐍 #PythonTip: Improve the performance and scalability of your code by using the 'asyncio' module to write asynchronous code with coroutines and event loops! 🚀

🐍📝 #PythonTip: Use deque from 'collections' module to efficiently append and pop items from both ends of a list. It's faster than a normal list for large amounts of data. 🚀

ingosview's tweet image. 🐍📝 #PythonTip: Use deque from 'collections' module to efficiently append and pop items from both ends of a list. It's faster than a normal list for large amounts of data. 🚀

Python's zip() is essential for data. It pairs up iterables for simultaneous use, dictionary creation, and unzipping. How often do you use it? 🐍 🔗scriptdatainsights.blogspot.com/2025/10/python… 🔗youtube.com/shorts/RxKZIrV… #Python #PythonTip


Stop guessing! Profile! #pythontip


Ever lost in nested loops? Here’s a solution - Python's List Comprehensions. They provide a concise way to create lists based on existing lists. Faster, more readable, and efficient! #PythonTip

PythonHQ's tweet image. Ever lost in nested loops? Here’s a solution - Python's List Comprehensions. They provide a concise way to create lists based on existing lists. Faster, more readable, and efficient! #PythonTip

【locとilocの違い再確認|🍙】 💡 お昼の学びタイム locはラベル、ilocは整数位置。混同防止に、最初にラベル/indexの種類をチェックしましょう! 記事はこちら👇 pythondatalab.com/pandas-loc-ilo… #Pandas #PythonTip #DataScience


【info()とdescribe()でデータ要約|🍙】 💡 お昼の学びタイム 再掲:describe(include='all')で文字列含む全カラム要約。数値だけでなくカテゴリも確認しましょう! 記事はこちら👇 pythondatalab.com/pandas-info-de… #Pandas #PythonTip #DataScience


【read_csvでデータ読み込み|🍙】 💡 お昼の学びタイム read_csvは、sepやencoding、dtype指定で読み込み精度を向上。ヘッダーやインデックス列の指定に注意しましょう! 記事はこちら👇 pythondatalab.com/pandas-read-cs… #Pandas #PythonTip #DataScience


🚨 #PythonTip: 99% of devs are still sprinkling print() like confetti 🎉, meanwhile Python ships with a built-in function breakpoint() that you can drop anywhere with no imports needed. Type c to continue, n to step, or poke around in the REPL.

sytelus's tweet image. 🚨 #PythonTip: 99% of devs are still sprinkling print() like confetti 🎉, meanwhile Python ships with a built-in function breakpoint() that you can drop anywhere with no imports needed. Type c to continue, n to step, or poke around in the REPL.

【dropで行・列削除|🍙】 💡 お昼の学びタイム dropは、axis=0で行、axis=1で列を削除。inplace=Trueを使うと元DFが直接更新されるので注意しましょう! 記事はこちら👇 pythondatalab.com/pandas-drop/ #Pandas #PythonTip #DataScience


【mergeでデータ結合(marge)|🍙】 💡 お昼の学びタイム mergeは SQL の JOIN 相当。on引数や how='inner'/'left' の違い、キーの重複に注意して使いましょう! 記事はこちら👇 pythondatalab.com/pandas-marge/ #Pandas #PythonTip #DataScience


【条件指定でデータ抽出(filtering)|🍙】 💡 お昼の学びタイム filteringは、Boolean 配列で DataFrame を絞り込む手法。複数条件の結合時は&や|の優先順位に注意しましょう! 記事はこちら👇 pythondatalab.com/pandas-filteri… #Pandas #PythonTip #DataScience


locでデータ抽出|🍙】 💡 お昼の学びタイム locは、行ラベルと列ラベルを指定して抽出するメソッド。スライス指定では両端が含まれる点に注意しましょう! 記事はこちら👇 pythondatalab.com/pandas-loc/ #Pandas #PythonTip #DataScience


🗂️ Need multiple replacements? Use lists! 🎯 Loop through a list of tuples and iterate `.replace()` for each pair. This method is scalable, keeping your code efficient for multiple substitutions. 🌀 #PythonTip


Tweet: #PythonTip 🐍 Did you know #Python Generators are memory efficient, perfect for large data? Generate items one at a time instead of storing everything in a list! Check this out:

PythonHQ's tweet image. Tweet:

#PythonTip 🐍 Did you know #Python Generators are memory efficient, perfect for large data? Generate items one at a time instead of storing everything in a list! Check this out:

#PythonTip 📖 Read files using a context manager: ``` with open('filename', 'r') as file: file.read() # Read entire file file.readline() # Read single line ``` #powerfulmadesimple #CodeNewbies #100DaysOfCode #pythonlearning

#PythonTip 🚀Python magic in action! 🐍This list comprehension [(x,y) for x in [1,2,3] for y in [2,4,5]] creates pairs like [(1,2), (1,4), ...] by combining every x with every y. Clean & powerful! 💡Try it out! #Python #Coding #newbies #pythonTip



Boost performance with memoryview: No more data copying for big array tasks. #pythontip #performancehack #coding


🗂️ Need multiple replacements? Use lists! 🎯 Loop through a list of tuples and iterate `.replace()` for each pair. This method is scalable, keeping your code efficient for multiple substitutions. 🌀 #PythonTip


Here\'s a bytearray example: Modify byte data directly. 📜 E.g., change 'H' to 'M' in a byte sequence. #PythonTip #Bytearray

YourPythonFun's tweet image. Here\'s a bytearray example: Modify byte data directly. 📜

E.g., change 'H' to 'M' in a byte sequence.

#PythonTip #Bytearray

Here\'s a bytearray example: Modify byte data directly. 📜 E.g., change 'H' to 'M' in a byte sequence. #PythonTip #Bytearray

YourPythonFun's tweet image. Here\'s a bytearray example: Modify byte data directly. 📜

E.g., change 'H' to 'M' in a byte sequence.

#PythonTip #Bytearray

#pythontip from @bascodes: A simple decorator that will retry your functions when they fail

python_tip's tweet image. #pythontip from @bascodes:

A simple decorator that will retry your functions when they fail

#pythontip #python Yeni başlayanlar Python'da try...except yapısının aynı zamanda else ve finally bloklarına da sahip olduğunu kaçırabiliyorlar. Buradaki örnek, verilen fonksiyonu sonuç dönene kadar X kere deneyecek, detaylar açıklama satırlarında.

bugraisguzar's tweet image. #pythontip #python

Yeni başlayanlar Python'da try...except yapısının aynı  zamanda else ve finally bloklarına da sahip olduğunu kaçırabiliyorlar. 

Buradaki örnek, verilen fonksiyonu sonuç dönene kadar X kere deneyecek, detaylar açıklama satırlarında.

#PythonTip if you want to select k objects of a list in python you can use choices to select with replacement and sample to select without replacement

hian_cd's tweet image. #PythonTip if you want to select k objects of a list in python you can use choices to select with replacement and sample to select without replacement

#PythonTip of the day. If you want to limit the attributes a class can have, the simplest is to use slots. Plus, you can get some benefits in memory usage as well. More tomorrow...

aquicarattino's tweet image. #PythonTip of the day. If you want to limit the attributes a class can have, the simplest is to use slots. Plus, you can get some benefits in memory usage as well. More tomorrow...

One of my favorite additions to #Python is the walrus operator. As with any other operators, the use of parenthesis is important. Check the different output both expressions generate. #PythonTip on new and helpful, options while programming.

aquicarattino's tweet image. One of my favorite additions to #Python is the walrus operator. As with any other operators, the use of parenthesis is important. Check the different output both expressions generate.

#PythonTip on new and helpful, options while programming.

#pythontip from @bascodes: You can force a function to accept keyword arguments only 👇

python_tip's tweet image. #pythontip from @bascodes:

You can force a function to accept keyword arguments only 👇

#PythonTip. Dictionary views can be cast to other data types, such as a list. Once you do that, they are not dynamic anymore. Any change to the original dictionary won't be reflected. #Python has some very interesting subtleties.

aquicarattino's tweet image. #PythonTip. Dictionary views can be cast to other data types, such as a list. Once you do that, they are not dynamic anymore. Any change to the original dictionary won't be reflected. 

#Python has some very interesting subtleties.

#PythonTip of the day. Slots in classes allow to define read-only attributes very quickly: create a class attribute that is not defined in the slots, a voilà.

aquicarattino's tweet image. #PythonTip of the day. Slots in classes allow to define read-only attributes very quickly: create a class attribute that is not defined in the slots, a voilà.

#pythontip by @NurmeAve: You can use an asterisk for unpacking and with any separator (for printing) you like. A few examples shown below.

python_tip's tweet image. #pythontip by @NurmeAve:

You can use an asterisk for unpacking and with any separator (for printing) you like. 

A few examples shown below.

Python Tip Set Difference update Get the unique element of each set and return a new set with these elements #python #pythontip #codeNewBies

Sarthaksavvy's tweet image. Python Tip

Set Difference update

Get the unique element of each set and return a new set with these elements

#python #pythontip #codeNewBies

#PythonTip of the day. If you subclass a class that defines slots, you can extend the list, but not override it. If the child class does not define its own slots, then it will get a __dict__ by default. #Python tricks. Tomorrow the end of the series.

aquicarattino's tweet image. #PythonTip of the day. If you subclass a class that defines slots, you can extend the list, but not override it. If the child class does not define its own slots, then it will get a __dict__ by default. 
#Python tricks. Tomorrow the end of the series.

#PythonTip of the day. If you add __dict__ to the list of slots of a class, you recover the dynamic creation of attributes that you would get without using slots. A silly example, but helps showing the inner mechanisms of classes with #Python

aquicarattino's tweet image. #PythonTip of the day. If you add __dict__ to the list of slots of a class, you recover the dynamic creation of attributes that you would get without using slots. 
A silly example, but helps showing the inner mechanisms of classes with #Python

💡🐍 Python is a popular language for connecting different data sources. Use a 𝙲𝚑𝚊𝚒𝚗𝙼𝚊𝚙 to get a singular value from a collection of different 𝚍𝚒𝚌𝚝s: #tweet100 #pythontip

bascodes's tweet image. 💡🐍 Python is a popular language for connecting different data sources. 

Use a 𝙲𝚑𝚊𝚒𝚗𝙼𝚊𝚙 to get a singular value from a collection of different 𝚍𝚒𝚌𝚝s:

#tweet100 #pythontip

#PythonTip. When using the method keys() on a dictionary, it returns a dynamic object. If you delete a key on the original dict, the change will be reflected on the dictionary view. #Python variables can catch off guard many developers.

aquicarattino's tweet image. #PythonTip. When using the method keys() on a dictionary, it returns a dynamic object. If you delete a key on the original dict, the change will be reflected on the dictionary view. #Python variables can catch off guard many developers.

#PythonTip. The biggest impact of using slots is memory. The absence of a __dict__ and __weakref__ make the objects lighter. Check the difference when creating 1 million objects with and without slots! Final #Python trick for this week.

aquicarattino's tweet image. #PythonTip. The biggest impact of using slots is memory. The absence of a __dict__ and __weakref__ make the objects lighter. Check the difference when creating 1 million objects with and without slots! 

Final #Python trick for this week.

🔥 #pythontip Just learned about pretty cool way I can write namedtuple with default value in #python 3.6.1

josefrousek's tweet image. 🔥 #pythontip Just learned about pretty cool way I can write namedtuple with default value in #python 3.6.1

#Pythontip Need to be careful while checking for None in a if statement.

abhi_bops's tweet image. #Pythontip Need to be careful while checking for None in a if statement.

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