Nik
@DatagyIo
I tweet about ๐ Python ๐ Data Science ๐ผ Pandas! ๐ Ready to start learning? Check out my FREE 30 day Python course! ๐๐ผ http://bit.ly/3JyyBzp
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Ready to learn #Python? ๐ ๐ Check out my ๐ ๐๐๐ 30-day course! ๐ Python Fundamentals ๐ข Using NumPy ๐ผ Working with Pandas ๐ Data Visualization ๐ง๐ปโ๐ฌ Machine Learning Work at your own pace ๐ฅ๏ธ or get it emailed ๐ฌ daily, for free! Check it out! ๐๐ผbit.ly/3JyyBzp
Are you missing data specified in a funny way? Pandas can help with that! Specify how missing values are formatted:
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!
My new video on styling Pandas DataFrames is up! Learn to add style, colour, and bars to Pandas ๐ฅณ youtu.be/JGefS6WPm1E
youtube.com
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Style Python Pandas DataFrames! (Conditional Formatting, Color Bars...
#Python provides handy ways to add items to a list: ๐ .append() adds a single item ๐ .extend() adds multiple items
Python Tip ๐ก Simplify your assignment with Python Walrus operator! Helpful when you need to assign values to a variable as part of an expression! ๐๐ป #python #programming #pythontip
Happy Monday! Let's get this week off to a good start! ๐ Do you have any favorite #Python tips to share?
That's another week done! Are you working on any fun #Python projects this weekend? I'm going to keep diving into Flask and build some more fun web apps!
Need to add some row and column totals to a static table in #Python Pandas? You can do this with using the sum function across different axes!
This kind of feedback really makes my day and motivates me to keep on creating content! ๐ฅณ
When reading an Excel file into a #Python Pandas DataFrame, you may be used to specifying column names to read in. Did you know you can also specify Excel ranges too? ๐คฏ
Calculating cumulative values in #Python Pandas is easy using the cumsum() method! You can also calculate cumulative percentages with the same method!
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