#PythonTip

Do you miss the switch-case statement? It is coming with Python 3.10. (#pythontip via @3scorciav & @svpino)

With 'tqdm' you can add a progress meter to any iterable object (see examples in @kondrej's short video): #pythontip #iterable #tqdm

#pythontip from @raymondh: Another interesting use of #python's walrus operator is to compute differences between successive values in a data stream. >>> data = [10, 14, 34, 49, 70, 77] >>> prev = 0; [-prev + (prev := x) for x in data] [10, 4, 20, 15, 21, 7]

#pythontip by Vojtech Filipec: To extract last N characters of DataFrame's column, use df.col.str[-N:] Example:

Learn to use 'try' and 'except' to handle errors in Python. Anticipating problems can make your code more robust. #PythonTip #coding

You can name your slices: >>> record = "01234567890123456789I want this0123456789" >>> IWANT = slice(20,31) >>> record[IWANT] 'I want this' #python #pythontip

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

#pythontip from @ratneshkush: If you want to use R in Python notebook, use rpy2 package: import rpy2 %load_ext rpy2.ipython # start each cell with %%R %%R a <- 'Ratnesh' b <- 'Data Science' print(paste(a,b)) # [1] Ratnesh Data Science

#PythonTip: Are you familiar with slicing? It's a quick way to access subsets of lists, strings, and other sequences. For example, list[1:3] gives the 2nd and 3rd items. #datascience #coding #Python #pythonprogramming #data

New to Python? Remember, code readability is key in Python. Consistent indentation and clear variable names go a long way! #PythonTip #coding #Python #PythonProgramming

#pythontip by @justmarkham: Did you encounter the dreaded SettingWithCopyWarning in #pandas? 🐼👻 The usual solution is to rewrite your assignment using "loc": ❌ df[df.col == val1].col = val2 ✅ df.loc[df.col == val1, 'col'] = val2 See example 👇

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

📊 "#PythonTip: Use scatter plots in #Matplotlib to show the relationship between two sets of data. Ideal for correlation and distribution analysis. 🧮 #Python #DataScience" Here's a simple example:

#pythontip from @daviddelachurch Loving #Python3.5 PEP 448 for overwriting a dictionary of default values: >>> defaults = {"lenny": "white", "carl": "black"} >>> overwrite = {"lenny": "yellow"} >>> new = {**defaults, **overwrite} >>> new {'lenny': 'yellow', 'carl': 'black'}

#PythonTip: Use #Python #Generator to optimize your Memory Input. For reference, we load a CSV File where we pit a Normal Object, which loads the CSV by reading it versus a Generator Object, to compare their size. Here we can save a lot of memory just by using - generators.

Are you feeling stressed? Let's get rid of it >>> you = "stressed" >>> you[::-1] "desserts" Thanks @Saandipt for pointing us to Do you have any #pythontip you want to share? Just mention @python_tip in your tweet or send it to

🐍 #PythonTip: Use list comprehensions for concise and readable one-liners. Example: `[x**2 for x in range(10) if x%2 == 0]` #CodeClean

#pythontip by @bascodes: To avoid unintended consequences, change your function defaults arguments from (first figure) to (second figure). Otherwise, calling the function without that optional argument will access the same list each time.

#PythonTip Допустим, у вас есть строчка y = f(x) + f(x)**2 Но вы не хотите считать f(x) дважды. Что делать? Заводить новую переменную? fx = f(x) y = fx + fx**2 Есть метод получше! y = (lambda t: t + t**2)(f(x))

#PythonTip Use `itertools.count` to generate a range of floats pretty similar to how you can use `range(start, stop, step)` to generate a range of integers.