Léo Joubert retweetledi
Léo Joubert
429 posts

Léo Joubert
@leojoubert
Chess player - Associate professor - Computational sociology at @univrouen and @dysolab1
Rouen Katılım Mart 2010
338 Takip Edilen149 Takipçiler
Léo Joubert retweetledi

Adolf Hitler scandalisé par les allégations d’appartenance au nazisme sur sa page Wikipédia legorafi.fr/2025/02/26/ado…
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Léo Joubert retweetledi

Check out the code on our repository! (5/5)
github.com/lenafm/metablox
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Léo Joubert retweetledi
Léo Joubert retweetledi

🔴 Censure du gouvernement
🗣️ "Marine Le Pen montre à Michel Barnier tous les jours de quel côté de la laisse il se situe. Les macronistes auront la défaite et le déshonneur"
👉 Marine Tondelier (@marinetondelier), Secrétaire nationale EELV, invitée de @daviddoukhan
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Léo Joubert retweetledi

Nouvel appel à articles de @RevueTerminal :
Nous proposons d’explorer les rapports entre le champ de l’#ÉconomieSocialeetSolidaire (#ESS) et les #TechnologiesNumériques.
A vos plumes & claviers !
journals.openedition.org/terminal/10091
@Mel_Boudes @leojoubert @BenjaminLorre @creis_terminal
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Léo Joubert retweetledi

Marre du jeu de ping-pong entre leaders de la gauche.
Si c’est ça qu’on cherchait on regarderait les frères Lebrun, c’est plus intéressant sportivement et ça ne fait pas de mal à notre camp.
Avec @CastetsLucie on propose à celles et ceux qui veulent construire l’aventure commune pour la prochaine présidentielle un espace de travail.
Rejoignez-nous !
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Léo Joubert retweetledi

Pandas is getting outdated.
5 reasons you should move to FireDucks 👇
1. Requires changing ONLY ONE line of code:
↳ Replace "𝗶𝗺𝗽𝗼𝗿𝘁 𝗽𝗮𝗻𝗱𝗮𝘀 𝗮𝘀 𝗽𝗱" with "𝗶𝗺𝗽𝗼𝗿𝗲 𝗳𝗶𝗿𝗲𝗱𝘂𝗰𝗸𝘀.𝗽𝗮𝗻𝗱𝗮𝘀 𝗮𝘀 𝗽𝗱"
↳ The rest of the entire code remains the same.
↳ So, if you know Pandas, you already know how to use FireDucks.
↳ Done!
2. Ridiculously faster as per official benchmarks:
↳ Modin had an average speed-up of 0.9x over Pandas.
↳ Polars had an average speed-up of 39x over Pandas.
↳ But FireDucks had an average speed-up of 50x over Pandas.
3. Pandas is single-core; FireDucks is multi-core.
4. Pandas follows eager execution; FireDucks is based on lazy execution. This way, FireDucks can build a logical execution plan and apply possible optimizations.
5. That said, even under eager execution, FireDucks is way faster than Pandas, as depicted in the image below.
Learn how to use FireDucks here: dailydoseofds.com/p/pandas-vs-fi…
👉 Over to you: What are some other ways to accelerate Pandas operations?
_____
Find me → @akshay_pachaar ✔️
For more insights and tutorials on AI and Machine Learning!

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L'échec est un long fleuve tranquille
search.app/?link=https%3A…
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Léo Joubert retweetledi

📌 Le Monde rural existe-t-il ?
C'est le titre de mon dernier article, publié par la revue Esprit dans son numéro de novembre 2024. Il est en ligne ici, dans un dossier consacré au "malentendu agricole" : esprit.presse.fr/article/olivie… 🧶 1/6

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Léo Joubert retweetledi
Léo Joubert retweetledi

Bring your data visualizations to life with animation! The gganimate package extends ggplot2 by adding animation capabilities, making it easy to create dynamic and engaging plots that reveal patterns over time or across categories.
✔️ Dynamic Storytelling: Transform static charts into animated visuals, allowing you to showcase changes, trends, and sequences clearly and effectively.
✔️ Customizable Animations: Control the speed, transitions, and aesthetic elements of your animations, giving you full flexibility to highlight key points.
✔️ Engage Your Audience: Animated graphics make complex data easier to understand, keeping your audience engaged and helping them grasp insights faster.
✔️ Easy Integration with ggplot2: Works seamlessly with ggplot2, so you can animate your existing plots without needing to learn complex new syntax.
The example shown here is from the package website, illustrating how gganimate can transform typical plots into informative animations: gganimate.com
Ready to master ggplot2 and its powerful extensions to make your visualizations stand out? Enroll in my online course, “Data Visualization in R Using ggplot2 & Friends,” starting on November 25, 2024!
See this link for additional information: statisticsglobe.com/online-course-…
#VisualAnalytics #RStats #database #tidyverse
GIF
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"Understanding LLMs from Scratch Using Middle School Math"
Neural networks learn to predict text by converting words to numbers and finding patterns through attention mechanisms.
So the network turns words into numbers, then use attention to decide what's important for predicting next words
Nice long blog (40 minuted reading time), check the link in comment.

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Léo Joubert retweetledi

A free, online, hard-core Machine Learning book!
If you are interested in understanding how Machine Learning algorithms work, this is for you.
Great resource if you are one of those who cares about how the magic happens.
dafriedman97.github.io/mlbook/content…

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Léo Joubert retweetledi

Create neural network architecture drawings parametrically!
Meet NN-SVG – a free, open-source tool that makes creating neural network architecture DIAGRAMS fast and seamless.
What it offers:
📐 Parameterized NN architecture diagrams
🔄 Export as SVG for easy integration into papers & presentations
🎨 Customizable design options: colors, sizes, and layouts
It supports three types of diagrams:
🔹 Fully Connected Networks (FCNN)
🔹 Convolutional Networks (as per LeNet)
🔹 Deep Neural Networks (following AlexNet)
Perfect for both academics and educators to streamline their NN illustrations. Can't wait to explore this for my own work! ✨
Link to repo in next tweet!
____
Find me → @akshay_pachaar ✔️
For more insights & tutorials on AI and Machine Learning.
English
Léo Joubert retweetledi
Léo Joubert retweetledi
Léo Joubert retweetledi
Léo Joubert retweetledi
Léo Joubert retweetledi








