Nik

Ready to learn #Python? 🐍 🚀 Check out my 𝐅𝐑𝐄𝐄 30-day course! 🐍 Python Fundamentals 🔢 Using NumPy 🐼 Working with Pandas 📈 Data Visualization 🧑🏻‍🔬 Machine Learning Work at your own pace 🖥️ or get it emailed 📬 daily, for free! Check it out! 👉🏼bit.ly/3JyyBzp

@dominiksumer This can’t come soon enough!! 🤩🤩

I did it! took me quite some time to figure out the best solution and I also went through some trial & error, but it's working: you'll be able to smoothly Morph Code Changes between Slides in snappify 🤩 The Example Code is from a great presentation by @mathsppblog thanks for the inspiration! ❤️

@dominiksumer I can’t wait!

Animations in snappify Slides will be smoooth af 🤩

@dominiksumer Awesome!! Can’t wait 😊!!

@DatagyIo oh great Nik! sounds like an ideal use case for snappify Slides 😄 I‘ll ping as soon as it’s ready :)

I'm excited to announce: snappify Slides 🚀 Our goal is to create THE presentation tool for developers - no more struggles with presenting your code live on stage Closed Beta starts soon, if you're interested drop 👋 in the comments PS: it's not only about Presentations 😄 👇

@paulabartabajo_ Great write up! I’ve been loving parquet files!

Are you a data scientist using CSV files to store your data? What if I told you there is a better way? Can you imagine a -> lighter 🦋 -> faster 🏎️ -> cheaper 💸 file format to save your datasets? Read this thread so you don't need to imagine anymore 👇🏾

@udacity Hi Britt, just following up. I DM’d my info over 12h ago but the message hasn’t been read…

@DatagyIo Hi there - thanks for reaching out and we’re so sorry for any delay. Can you please send over the ticket number or email with your account so we can take a look with our team? -Britt

@udacity Thank you! Will do.

Are you missing data specified in a funny way? Pandas can help with that! Specify how missing values are formatted:

@python_engineer Wow!! Amazing! I can’t wait to dive into this this weekend! Thanks Patrick!

New video! PyTorch Crash Course🚀 I have condensed all my PyTorch knowledge into 50 minutes! It teaches you all important concepts to get started with this Deep Learning framework! youtu.be/OIenNRt2bjg

Have a massive Pandas DataFrame? The category data type can help! If you have categorical data, read those columns as a category type:

Need to set a column to an index in Pandas? You can do this while reading the file!

Want to read only some columns when loading a Pandas DataFrame? Use the usecols parameter!

Need to parse a column as a date in Pandas? Do it while reading the file!

@python_engineer Congrats! It’s well deserved!!

▓▓░░░░░░░░░░ 15% I can't believe the channel is growing so fast at the moment! We almost doubled the number since the beginning of this year. Thank you all!🙏🚀

@python_engineer Congrats! Keep up the great work!!

May was a good months for my YouTube channel🥳: - 1.2M views → new record - 15K new subscribers → new record - First day with over $100 in ad revenue Thanks for all your ongoing support!

My new video on styling Pandas DataFrames is up! Learn to add style, colour, and bars to Pandas 🥳 youtu.be/JGefS6WPm1E

@python_engineer Every. Single. Time. 😆

anyone else doing cd dir cd subdir1 cd subdir2 instead of cd dir/subdir1/subdir2 or is it just me? 😄

@trip_elix Strange! Does it have all the records when you check the length using len(df)?

@DatagyIo I don't understand why it truncates Row to make them even at the bottom. My data set has less than 100 records but it only shows me 40 not all 66 rows

Hot #Python Pandas tip incoming! 🔥🐍 Ever want to read more than one file to a DataFrame at once? Combine glob with the Pandas read_csv() (or read_excel()) functions. This lets you easily read all files in a folder at once! 👇🏼

#Python provides handy ways to add items to a list: 👉 .append() adds a single item 👉 .extend() adds multiple items

@techsavvyteachy Yep, the ‘|’.join() will join all the strings into one long regular expression, where | is the logical OR operator :) that said, if list you said, your list to check isn’t very long the list comprehension can be a good alternative!

Happy Monday! Let's get this week off to a good start! 🚀 Do you have any favorite #Python tips to share?