Early bird tickets for #SCASummit24 are now available! ๐๐
Get yours here - https://t.co/a3uHEdS4Ec
This year, we are offering tiered tickets tailored to match your professional level. Whether you are a senior-level professional, mid-level professional, entry-level professional, or a university student, there's a ticket option for you! ๐๐ฅณ๐ฅณ๐ฅณ
By choosing the ticket that best suits you, you'll be able to fully benefit from our tailored experiences, networking opportunities, and much more! ๐๐๐
Reserve your seat now to secure your spot at the biggest African Women In Tech Summit! ๐๐
#SheCodeAfrica #SCASummit24 #EarlyBirdTickets
We unveiled #SCASummit24 and you know what comes next?
Our first pre-summit event: โBeyond Funding: The Vast Support System For African Women Entrepreneursโ ๐๐ฅณ
While securing funding is undeniably crucial, it's just one fraction of success. Our guest speaker, Barbara Onyejose, Mentorship and Academy Lead at VC4A, will highlight the vast support system available to African women entrepreneurs and offer her expertise on the value of mentorship and support structures for African female entrepreneurs.
This pre-summit event is ideal for founders, aspiring founders, CEOs, and business leaders!
Date: August 8, 2024
Time: 5:30-6:30 pm WAT
Secure your spot now: https://t.co/51CONs1Rfb ๐
#SheCodeAfrica #SCASummit24 #WomenInTech #WomenInEntrepreneurship
Is bigger always better? ๐ The idea that scaling more than any other ingredient has driven progress has become formalized as the โbitter lessonโ
Is Sutton right?
๐https://t.co/ndAIFT4UPY
You Asked. Weโre listening ๐ฅณ๐ฅณ๐ฅณ
The wait is almost over! After two incredible editions, the largest African Women In Tech Summit is back and better than ever! ๐๐
We heard your feedback, and weโre excited to bring new twists and surprises (๐) to this yearโs edition! ๐๐
What do you want to see? More networking opportunities? Deeper tech discussions? Inspiring keynotes? Or something entirely new? ๐ค๐ค๐ค
Let us know in the comments! ๐๐๐๐
#SCASummit24
Working with privately hosted CSV files and loading them as pandas dataframes is a common and real-world use case.
Here's a simple way to do it with the `huggingface_hub` library ๐ค
If you want to learn more, follow along. Takes hardly 2-3 minutes ๐งต
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