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18 posts analyzed over the last 12 weeks
Over the last 12 weeks
Average across all posts
This month vs. previous
Growth slope (6 weeks)
Best week: 13 avr. (232 avg. likes)
Rushika Rai
Frontend Developer & AI Enthusiast | AI & Data-Driven Personal Branding for CEOs & Founders | Resume Writer | Open to Collabs ๐ค
Python libraries cheatsheet. Python becomes powerful because of its ecosystem. You do not need to build everything from scratch. The right library can save hours, improve performance, and speed up learning. The real sโฆ
Sandeep Gulati๐ฏ
AI Marketing Leader | Architect of Growth-Focused, Results-Driven GTM Strategies | Driving High-Impact Media, Performance Marketing & Scalable Campaigns for World-Class Brands
๐จ BREAKING: The highest-value AI education on the planet Is now free. No gatekeepers. No excuses. And in 2026, the real divide in digital marketing wonโt be budget. It will be AI literacy. You donโt need another expeโฆ
Alex Wang
Learn AI Together - I share my learning journey into AI & Data Science here, 90% buzzword-free. Follow me and letโs grow together!
You canโt flatten relational data and expect the signal to survive. Enterprise data rarely shows up as one clean table - it lives across customers, transactions, products, accounts, events, and all the links between theโฆ
Adam Danyal
Founder, AI For Leaders. The AI newsletter smart leaders read. Powered by 10M+ LinkedIn AI network.
8 Free AI Courses Every Professional Needs in 2026 ๐๐ฒ๐ฐ๐ผ๐บ๐ฒ ๐ฏ๐ฒ๐๐๐ฒ๐ฟ ๐ฎ๐ ๐๐ ๐ถ๐ป ๐ท๐๐๐ ๐ญ ๐บ๐ถ๐ป๐๐๐ฒ ๐ฎ ๐ฑ๐ฎ๐. ๐๐ฒ๐ ๐๐ต๐ฒ ๐๐ ๐ป๐ฒ๐๐๐น๐ฒ๐๐๐ฒ๐ฟ ๐๐บ๐ฎ๐ฟ๐ ๐น๐ฒ๐ฎ๐ฑ๐ฒ๐ฟ๐ ๐ฟ๐ฒ๐ฎ๐ฑ. ๐ฆ๐ถ๐ด๐ป ๐๐ฝ ๏ฟฝโฆ
Arnaud ROUSSEAU
Data Engineer @Waalaxy
Tu es junior en Python et tu codes encore comme en 2020. Voici 4 upgrades qui vont changer ta faรงon de coder : 1. Abandonne pip. Passe ร UV. pip c'est lent. C'est bancal. C'est de l'ancien. UV (par la team Astral) c'eโฆ
Roxanne Varza
Directrice @ STATION F
This year STATION F had a record number of companies in the Challenges โ100 startups to invest inโ list (26!). But I noticed some other changes as well. Were we talking about 20m rounds in previous editions? I had to tโฆ
Eduardo Ordax
๐ค Generative AI Lead @ AWS โ๏ธ (200k+) | Startup Advisor | Public Speaker | AI Outsider | Founder Thinkfluencer AI
If you doubt about your career path, this is my recommendation, start with the data before any AI. Then upgrade to the next level. The Data Engineering learning path looks like this: SQL โ Coding โ Spark โ Cloud โ AI โฆ
Arijit Ghosh
AI, Data Engineering and Sharing Insights on Marketing | Tech Professional | Personal Brand Strategist | 80+ Brand Collaborations | Brand Partnership
I wasted 3 months learning Data Engineering. Randomly jumping between AWS, SQL, Python. No structure. No order. Just docs open and confusion. Then I realized the brutal truth, "You can't build on AWS if your data fundโฆ
Gaรซl PENESSOT
Jโaccompagne les data analysts ร dรฉpasser les limites de leur outil BI avec Python | Formateur LinkedIn Learning | Auteur โBI avec Pythonโ (ENI รditions)
Le dataset parfait n'existe pas. Mais ces 10 sources te feront oublier cette excuse. La plupart des candidats passent des semaines ร chercher "le bon jeu de donnรฉes" avant de commencer un projet portfolio. Rรฉsultat : iโฆ
Rushika Rai
Frontend Developer & AI Enthusiast | AI & Data-Driven Personal Branding for CEOs & Founders | Resume Writer | Open to Collabs ๐ค
Learning AI feels overwhelming at first. Too many concepts, too many tools, no clear path. But itโs simpler than it looks when you break it down ๐ Hereโs a quick cheat sheet to get started: - Start with the basics Unโฆ