Latest posts tagged with #PANDAS on Bluesky
National Panda Day 🐼
Join us in celebrating these beloved animals and the importance of conservation, habitat protection, and wildlife awareness.
Read more: gopotatonaut.com/celebrate-pa...
#NationalPandaDay #Pandas #Conservation #GoPotatonaut
National Panda Day 🐼
Join us in celebrating these beloved animals and the importance of conservation, habitat protection, and wildlife awareness.
Read more: gocybernaut.com/celebrate-pa...
#NationalPandaDay #Pandas #Conservation #GoCybernaut
How many missile alerts does Israel receive each day? How long have they lasted? What hours are most common? And what cities have been alerted the most?
In the latest Bamboo Weekly, we explore all of this with #Python and #Pandas. Level up your data skills on current events: buff.ly/ZtkMamY
With the US-Israel-Iran war in its second week, Iran continues to fire missiles at other countries, including Israel (where I live). How many missiles? And how long are we spending in our shelters?
Use #Python and #Pandas to answer these questions in the latest Bamboo Weekly: buff.ly/7xLd9J6
Album art from the album Out to Sea by Pandas & People
Tom is now listening to Find You
https://open.spotify.com/track/5IzVL3gIya2cbzeZTcvyY7
#Pandas&People
Part 2 of my Mastering Pandas series is live
GroupBy + Indexing — two tools you'll use in every single data project.
📖 Medium → hussein16mahdi.medium.com/mastering-pa...
📁 GitHub → github.com/Hu8MA/Master...
#Python #Pandas #DataScience
Curious about #Python and #Pandas with Claude Code?
Next week, I'm starting my second round of AI coding workshops, where we'll solve problems with Claude Code.
Watch yesterday's info session, where I explained my thinking, and my workshop plans: buff.ly/d3rZuGy
Questions? Ask me here!
Iran's will attack ships in the Strait of Hormuz, and oil prices are spiking! 🛢️💰📈
How much oil does Iran produce? How about other countries? How much oil is exported, vs. kept for domestic use?
Bamboo Weekly challenges you to answer these using #Python and #Pandas.
Learn more at buff.ly/7xLd9J6
Thanks to Bala Priya @kdnuggets.com for introducing me to #Polars for #Python #Datascience projects. Handy addition to #Pandas (replacement 🙂?)!
Telegram-бот вместо Excel-рутины: как я автоматизировал рутину с помощью Python Как я заменил Excel-сводные на Telegram-бота ...
#python #telegrambot #google #sheets #api #oauth #yandex #disk #pandas #etl #devops
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Pandas 3.0でSettingWithCopyWarningが遂に消滅。CoW（Copy-on-Write）デフォルト化により、メモリ効率と予測可能性が劇的に向上。不毛なコピー論争は終結。pd.col導入でPolars風の記述も可能に。データ解析のDXを一段引き上げる歴史的進化です。
#Python #Pandas
🎉 My article just went live on GoPenAI, a curated publication on Medium!
Part 1 of my Pandas for Data Science series. GoPenAI invited me to publish with them and I'm really proud of this one.
blog.gopenai.com/mastering-pa...
#Python #Pandas #DataScience #AcademicSky #Science #SciComm #DotNet #AI
Calling astype on #Python #Pandas series with unconvertible values?
Use errors='ignore' to skip the error:
s = pd.Series([10, np.nan, 30])
s.astype('int8') # raises IntCastingNaNError
s.astype('int8', errors='ignore') # keeps original dtype
CEO Dr. Craig Shimasaki talks about the costs of development for life sciences companies and outlines Moleculera Biosciences’ own capital needs.
youtube.com/shorts/Wxrc0...
#TranslationalMedicine #BiotechInnovation #PANDAS #Biomarkers #Biotech #LifeSciences
Iran will attack ships passing through the Strait of Hormuz. How much oil goes through this waterway? And how much oil do Persian Gulf countries export?
The latest Bamboo Weekly gives you five #Python and #Pandas challenges to analyze this data and better understand it: buff.ly/7xLd9J6
🟢 ONLINE 🟢
Happy Hump Day! Rainbow and Maintenances? www.twitch.tv/shinnoriyoru
#heartopia #freetoplay #farming #ranibowday #lgbtq #promosky #freepromo #twitchstreamer #cozygaming #streamdeck #mining #mobilegames #bugcatching #animals #pets #doggo #cats #pandas #gaming #gacha #phone #grinding #pc
Writing #Python and #Pandas by hand? That's so 2025!
More and more developers 10x their productivity with Claude Code. You can, too!
Join my upcoming AI practice workshops. Learn what to do (and what not to do) the hard way, getting your hands dirty with hands-on labs.
More info: buff.ly/W90E5Pp
#Python #Pandas astype() returns a NEW series — it doesn't modify in place:
s = s.astype('int8')
s = s.astype('float64')
s = s.astype(str)
Watch out: You'll get a TypeError if any value can't be converted.
How many NaNs in a #Python #Pandas data frame?
1. Use isna, returning a data frame of booleans
2. Use sum, returning the number of NaNs in each column
3. Use sum again, adding those numbers
df.isna().sum().sum()
Wes McKinney built pandas in a mouse-infested NYC apartment on founder hours. Now he runs parallel Claude Code sessions and says AI is forcing "radical accountability" on every software vendor shipping mediocre products.
Full conversation: youtu.be/Uso8-yaERkE
#DataRenegades #pandas #ApacheArrow
How many NaNs in a #Python #Pandas series? Use isna (returns True/False) then sum/value_counts:
s = pd.Series([10, 20, np.nan, 40, 50, np.nan, 70, 80])
s.isna().sum() # returns 2
s.isna().value_counts() # count True/False
Hint: Pass normalize=True for the percentage
#Data #Extraction #Data #Scraping #Pandas #Python #Scrapy #Selenium #Software #Architecture #Web
Origin | Interest | Match
CSV ready for pandas:
country_code,indicator_name,year,value,unit
CHN,Solar generation,2024,839,billion kWh
USA,Wind generation,2024,452,billion kWh
IND,Coal production,2024,1037,million tonnes
Download the full dataset.
energtx.com
#Python #pandas #DataAnalysis #CSV #EnergyData
Reading CSV into #Python #Pandas? Pass header to specify the row containing column names:
pd.read_csv(f, header=3)
No headers at all? Just pass header=None:
pd.read_csv(f, header=None)
Pass a list for multi-indexed column names:
pd.read_csv(f, header=[3, 4])
#Python #Pandas: pivot vs pivot_table?
Both reshape data, but:
- pivot: one value per cell (errors if duplicates)
- pivot_table: aggregates duplicates (mean, sum, etc.)
Use pivot for clean data, pivot_table for real-world messiness.
Timely post, we just covered some of this in your #Pandas course this evening. 👍
What's the difference between join and merge in #Python #Pandas?
• join combines based on the indexes. Perfect when both data frames refer to the same person IDs, product names, or dates
• merge combines based on *any* two columns — but you must specify which ones.
#C #Programming #Data #Analysis #Machine #Learning #(ML) #NumPy #Pandas #Python #SciPy
Origin | Interest | Match
Apply different aggregations to each column when grouping on a #Python #Pandas data frame with agg and a dict:
(
df
.groupby('VendorID')
[['trip_distance', 'total_amount']]
.agg({'trip_distance':['median', 'std'],
'total_amount':'mean'})
)
Read CSV Using Pandas in Python I have spent the last decade working as a data developer, and if there is one tool I use every single day, it is the Pandas library. When I first started analyzing U...
#Python #Pandas #Tutorials #Python #Tutorials #Read #CSV #Using #Pandas
Origin | Interest | Match
