Nik

I tweet about 🐍 Python 📈 Data Science 🐼 Pandas! 🚀 Ready to start learning? Check out my FREE 30 day Python course! 👉🏼

[Nik @DatagyIo]

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! 👉🏼https://t.co/486p3mFYqV

[Nik @DatagyIo]

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

[Nik @DatagyIo]

@dominiksumer I can’t wait!

[Nik @DatagyIo]

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

[Nik @DatagyIo]

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

[Nik @DatagyIo]

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

[Nik @DatagyIo]

@udacity Thank you! Will do.

[Nik @DatagyIo]

Are you missing data specified in a funny way?

Pandas can help with that! Specify how missing values are formatted:

[Nik @DatagyIo]

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

[Nik @DatagyIo]

Have a massive Pandas DataFrame?

The category data type can help! If you have categorical data, read those columns as a category type:

[Nik @DatagyIo]

Need to set a column to an index in Pandas?

You can do this while reading the file!

[Nik @DatagyIo]

Want to read only some columns when loading a Pandas DataFrame?

Use the usecols parameter!

[Nik @DatagyIo]

Need to parse a column as a date in Pandas?

Do it while reading the file!

[Nik @DatagyIo]

@python_engineer Congrats! It’s well deserved!!

[Nik @DatagyIo]

@python_engineer Congrats! Keep up the great work!!

[Nik @DatagyIo]

My new video on styling Pandas DataFrames is up! Learn to add style, colour, and bars to Pandas 🥳 https://t.co/f0uDxJ4plr

[Nik @DatagyIo]

@python_engineer Every. Single. Time. 😆

[Nik @DatagyIo]

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

[Nik @DatagyIo]

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! 👇🏼

[Nik @DatagyIo]

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

[Nik @DatagyIo]

@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!

[Nik @DatagyIo]

Happy Monday! Let's get this week off to a good start! 🚀

Do you have any favorite #Python tips to share?