#pythondecember résultats de recherche
Here’s how Day 22 of #PythonDecember went today. Learnt how to do more on Data Cleaning 🔥 Check the comments for the Tutorial I used




How Day 20 went. Learned some data cleaning functions as well as introduction to how to import datasets. #PythonDecember It’s Day 21 today 💃💃




On the 12th day of December, Temi said to you “It’s PythonDecember” Let’s keep goinggggg🔥🔥🔥 #PythonDecember

Day 23 #PythonDecember Continued my SHG project with Python @iam_Uchenna 😌. @BiolaBolade @cheftee_lead @joebasshd @Toby_Davids




Day 23. Learned about Methods and dived as the string formatting also known as string interpolation. #PythonDecember



Last day of #PythonDecember I did a little bit of Data cleaning with Python. @iam_Uchenna @joebasshd @cheftee_lead @BiolaBolade @Toby_Davids




Making up for #PythonDecember Day 5 Answer to the question by @3rdSon__ Thank you boss for the corrections🙇♀️


#datafam I did a mini project on Python analyzing the number of flight in Cities and Airports all over the world and visualizing it. #pythonDecember @iam_Uchenna @cheftee_lead @joebasshd @BiolaBolade @Toby_Davids




#pythondecember I guess it's better late than never. I did some cooking this month on some datasets.




#PythonDecember ended with charts and colors. Even though there was breaks in between, I am happy to have taken the very first steps. Big thanks to my bosses @Faith_Tife03 @3rdSon__ @raqibcodes @choose_the_way for always coming through. Learning continues.....




There was no #PythonDecember from my end yesterday but I had my first speaking event 🥺❤️ Thank you for having me @ReisparT A big thank you to @SoloJah1 for checking in as I no post yesterday It’s Day 17 guys and I am so ready to fire on 🔥💃💃💃

Getting Ready for #PythonDecember and I will be using google colab; colab.search.google.com as advised by my boss @Akym__Tobi I have explored it and I am a bit familiar and ready to get started I will also install Anaconda just in case. #PythonDecember starts tomorrow 🔥🔥💃

Something went wrong.
Something went wrong.
United States Trends
- 1. Happy Birthday Charlie 52.8K posts
- 2. Good Tuesday 31.8K posts
- 3. #tuesdayvibe 3,453 posts
- 4. Shilo 1,541 posts
- 5. #NationalDessertDay N/A
- 6. Pentagon 75.4K posts
- 7. #PutThatInYourPipe N/A
- 8. Standard Time 3,014 posts
- 9. Happy 32nd 9,170 posts
- 10. Victory Tuesday N/A
- 11. Dissidia 6,628 posts
- 12. #TacoTuesday N/A
- 13. #tuesdaymotivations 3,263 posts
- 14. Martin Sheen 6,536 posts
- 15. Happy Birthday in Heaven 1,516 posts
- 16. Janet Mills 1,614 posts
- 17. Larry Fink 5,561 posts
- 18. Happy Heavenly 8,056 posts
- 19. No American 64.5K posts
- 20. Time Magazine 18.3K posts