R and Python Tips

Apparently, this user prefers to keep an air of mystery about them.

[R and Python Tips @R_PythonTips]

I would be posting R and Python programming tips.
Some handwritten posts and code tips are on the way.
Happy programming!
#rstats #python

[RStudio Tips @rstudiotips]

Opened too many tabs but don't want to lose your place by closing *all* of them? Not a problem. #rstats

[Frank Harrell @f2harrell]

@statsepi One of many goodies in RStudio: if you go into LaTeX math mode ($...$) and you hover over an equation you'll see a beautiful mathematically typeset preview of the equation @rstudio @rstudiotips

[Raymond Hettinger @raymondh]

@RitzyFraud Most likely candidates:

while ⟶ [ <expr> while <cond> ]
try/except ⟶ f(x) except ValueError else default

[Raymond Hettinger @raymondh]

Over time, many #Python statements have evolved a variant form as an expression:

print ⟶ print() function
def ⟶ lambda
if ⟶ ternary operator
for-loop with list.append() ⟶ list comprehension
def and yield ⟶ generator expression
= assignment ⟶ walrus operator

[R and Python Tips @R_PythonTips]

map() function in python

[R and Python Tips @R_PythonTips]

map() function in rstats

[Scott Thomson @scthomsn]

@AllenDowney 18.05%?

[Allen Downey @AllenDowney]

Thanks to everyone who submitted a solution. I'm glad other people think this sort of thing is fun!

Here's my solution, using a BayesTable class that demonstrates Bayes's Theorem:

https://t.co/AKwF5gvfH9

More Bayes puzzles coming soon!

[Allen Downey @AllenDowney]

I have a box of dice with 4, 6, 8, and 12 sides, the same number of each.

I choose one at random, roll it twice without showing you, and report that I got the same outcome both times.

If I roll the same die again, what is the probability I get the same outcome a third time?

[R and Python Tips @R_PythonTips]

Purrr's reduce function is so powerful. We can join multiple tables (read it as >2) using two lines of code. List all the tables and pipe it up with <<reduce>>. #rstats

[Posit PBC @posit_pbc]

Been meaning to check out Deep Learning with Keras and R? This post has everything you need to get started: https://t.co/30QOZRsXxW #rstats #rkeras

[Raymond Hettinger @raymondh]

Writing production #python code:
* Simplest thing that works
* Consider type signatures
* Add repr, copy, and pickle support.
* Watch out for circular references
* Think hard about concurrency
* Handle exotic and unanticipated use cases
* Learn from the experience
* Repeat

[PyData @PyData]

Interested in statistical methods for data science? Check out our probabilistic programming and bayesian methods playlist, including:

"Bayesian Network Modeling using R and Python" by Pragyansmita Nayak: https://t.co/CNw92p8jAJ

Don't forget to subscribe to #PyData on Youtube!

[PyData @PyData]

Python or R? Trick question: Both!

Check out our PyData video playlist of R talks, including:

"A Beginner's Guide to Random Forests - R vs Python" by Linda Uruchurtu:
https://t.co/iZ6FtRiBJ7
#rstats #scikitlearn #sklearn

Don't forget to subscribe for updates!

[Raymond Hettinger @raymondh]

#python factlet: I learned something new. A "binade" is the set of floating point numbers that all have the same exponent.

Presumably, if an addition z=y+x is closed within a single binade, it will be lossless.

[Mara Averick @dataandme]

These are indeed handy! "RStudio IDE Easy Tricks You Might've Missed" by @lopp_sean https://t.co/gmsEZ9LC8G via @rstudio #rstats

[R and Python Tips @R_PythonTips]

To convert row names to column in a data frame we can use <<rownames_to_column(df, var = colname>> from tibble package. #rstats

[R and Python Tips @R_PythonTips]

If we want to compare two data sets, to ensure whether the data matches, we can use setequal() or identical(). The difference is, setequal() wouldn't mind duplicates and/or order whereas identical() will return FALSE on duplicates or mismatch in order between data sets. #rstats

[Raymond Hettinger @raymondh]

If the format spec came first, it could easily be partialed:

currency = partial(format, ',.2f')

[Posit PBC @posit_pbc]

Witness Max Kuhn talk about Modeling in the #Tidyverse. @topepos
The roadmap for modeling packages that adhere to tidyverse-tenets.
Empirical validation and good methods, consistent interfaces,
https://t.co/X6nhgKzBAE #rstudioconf #rstats