gaby_wald (@gaby_wald@framapiaf.org)
Reprise d'un projet avec récupération / "parsing" de vieux fichiers d'un jeu de simulation en biologie, et rendre résultat humainement lisible ! Dans deux langages de programmation !
#Perl #Python #Creatures #Data #DataEngineer #DataEngineering #IAGen #GenAI (aide mais recadrer)
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maphew (@maphew@vmst.io)
hey #python, how do you teach your LLM to use `uv` smoothly?
Agents md? A skill? SHOUTING? I'm forever steering it away from using stock system python and it's rarely frictionless.
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ngate (@ngate@mastodon.social)
🤖 #Pythonistas discover the shocking revelation that #NaN is weird! 🤯 Apparently, the real mind-bender is that NaN is #hashable, leading to a groundbreaking set of ten NaNs... because, surprise, NaN never equals NaN. 🥳 Let's all pretend this is newsworthy in 2026. 🎉
https://brassnet.biz/blog/nan-is-weird.html #Python #TechNews #DataScience #HackerNews #ngated
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ebokify (@ebokify@mastodon.social)
Every data scientist relies on key ML libraries:
- NumPy – numerical ops & arrays
- Pandas – data manipulation & analysis
- Matplotlib – visualization
- Scikit-Learn – classic ML models
- TensorFlow – deep learning framework
- PyTorch – flexible, dynamic DL framework
- SciPy – scientific & mathematical computing
These libraries form the backbone of modern AI workflows.
📕 https://ebokify.com/machine-learning
#MachineLearning #AI #DataScience #Python #DeepLearning #BigData
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ebokify (@ebokify@mastodon.social)
Python mastery isn’t just syntax—it’s a journey:
1️⃣ Basics & Data Structures
2️⃣ Functions & Control Flow
3️⃣ Modules, File Handling, OOP
4️⃣ Error Handling & Debugging
5️⃣ Logging & Dependencies
6️⃣ Concurrency & Parallelism
7️⃣ Web Dev, Database Integration
8️⃣ Design Patterns
Consistent practice + real projects = true expertise.
#Python #Programming #Coding #SoftwareDevelopment #LearnToCode
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ebokify (@ebokify@mastodon.social)
Becoming a Data Analyst requires mastering key areas:
-Math & Statistics – hypothesis testing, probability, linear algebra
-Python – Pandas, NumPy, Seaborn, Scikit-learn
-SQL – joins, queries, optimization
-Data Wrangling – cleaning & transformation
-Visualization – Tableau, Power BI, Matplotlib
-ML basics
-Soft Skills – storytelling, problem-solving
📕 https://ebokify.com/data-analysis
#DataAnalytics #SQL #Python #PowerBI #MachineLearning #CareerGrowth
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ebokify (@ebokify@mastodon.social)
These six Pandas functions power most data wrangling: read_csv to load data, info to inspect, isnull for missing values, drop to clean, groupby to summarize, and apply to customize logic. Master these and you control your dataset.
#Python #Pandas #DataWrangling #DataAnalytics #MachineLearning #DataScience #CodingTips
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ebokify (@ebokify@mastodon.social)
Want to break into Data Science?
Here are 12 key roles you can explore:
- Data Scientist
- Data Analyst
- Data Engineer
- AI Specialist
- Statistician
- Machine Learning Engineer
- Data Architect
- Data Product Manager
- BI Analyst
- Database Administrator
Each role needs different skills. Explore your path!
Top 6 Data Science eBooks V1
https://ebokify.com/6-data-science-ebooks
#DataScience #Analytics #MachineLearning #AI #SQL #Python #CareerGrowth #BigData #DataEngineer #DataAnalyst #PowerBI
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rhettallain (@rhettallain@mastodon.social)
from #physics class today (#electrodynamics) - EM plane wave in #python
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ebokify (@ebokify@mastodon.social)
Learning every tool will not make you better. Clarity will. Start with the type and scale of your data, then align tools to your goal. Excel and SQL for summaries and dashboards. Python for deeper analysis and predictions. Focus beats overload.
📕 https://ebokify.com/ai-data-science
#DataAnalytics #DataScience #SQL #Python #Excel
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ebokify (@ebokify@mastodon.social)
Building in data science requires the right Python stack. Master NumPy and Pandas for data work, Matplotlib and Seaborn for visualization, Scikit-learn and boosting libraries for ML, and PyTorch or TensorFlow for deep learning. Tools matter, but fundamentals matter more.
📕 https://ebokify.com/ai-data-science
#Python #DataScience #MachineLearning #AI
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ebokify (@ebokify@mastodon.social)
Want to become a data analyst? Build strong foundations in statistics, Excel, SQL, and Python. Learn data preparation, EDA, and dashboards with Power BI or Tableau. Add machine learning basics and sharpen storytelling skills to turn insights into impact.
📕 https://ebokify.com/data-analysis
#DataAnalyst #DataAnalytics #SQL #Python
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