Major #dbt Fusion unblocker: Python Models 👇 A lot of projects were unable to migrate to Fusion because they were using Python models. Now, that blocker is gone: Python models are in **Public Preview.** If you don't know what Python Models are in dbt, they are basically dbt models written in Python instead of SQL, and they can be used for transformations that would be impossible (or very hard) to do with SQL alone. You can also perform analyses using tools from the open-source Python ecosystem, including state-of-the-art packages for data science and statistics. #AnalyticsEngineering #DataEngineering

# Understanding Pandas and Semantic Link for Data Manipulation Navigating the world of data often involves manipulating dataframes, merging tables, and shaping information. Tools like Pandas provide robust solutions for these tasks in Python. Microsoft's Semantic Link extends these capabilities, offering a direct interface within Python notebooks to interact with semantic models. This integration streamlines the process of data analysis and model building. #DataScience #Python #Pandas #SemanticLink #DataAnalysis

🚀 Python Developer Journey – Day 3 Day 3 of my Python learning journey, and today I explored Python Data Types. 📚 Topics covered: • Built-in Data Types in Python • Text Type (str) • Numeric Types (int, float, complex) • Sequence Types (list, tuple, range) • Mapping Type (dict) • Set Types (set, frozenset) • Boolean Type (bool) • Getting Data Type using type() • Setting Specific Data Types Understanding data types is essential for writing efficient and structured programs. Learning step by step and staying consistent 💪 #Python #PythonLearning #CodingJourney #Developer #100DaysOfCode

Python developers found something: pathwaycom/pathway at 62,743 stars and accelerating. Why are Python developers starring pathwaycom/pathway? At 62,743 stars, the answer is in the description: Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG. Repos driving this trend: → pathwaycom/pathway

🚀 Stack Implementation (Data Structures And Algorithms) Python's list data structure can be easily used to implement a stack. The `append()` method adds elements to the top of the stack, while `pop()` removes the top element. The `peek()` operation can be simulated by accessing the last element of the list using `stack[-1]`. This implementation provides a simple and efficient way to work with stacks in Python. Using a list provides dynamic resizing as needed. #Algorithms #DataStructures #CodingInterview #ProblemSolving #professional #career #development

Unlock the full potential of Python for data analysis and visualization with USDSI’s comprehensive guide. Learn workflows, libraries, and best practices to turn raw data into actionable insights. Download the Guide today: https://lnkd.in/emPkRFGH #DataScience #Python #Analytics #Visualization #PythonForDataScience #DataAnalytics #DataVisualization #LearnPython #DataScienceTools #BigDataAnalytics #DataDriven #AnalyticsSkills #DataInsights #TechSkills #CareerInData #DataScienceLearning #USDSICertification #USDSI

This is called List Comprehension in Python. And this is exactly why Python is so useful for real-world work — especially in data-related roles. Because in actual projects, we constantly need to: 1.Filter records 2.Transform values 3.Clean datasets 4.Write concise logic My takeaway: Good Python code is not just shorter. It’s smarter and more readable. Learning one small concept at a time and building toward Data Engineering. #Python #DataEngineering #LearnInPublic #CodingJourney #PythonTips #100DaysOfCode #DataEngineer #Programming #TechCareer #FutureDataEngineer

🚀 Day 10 of my Python Automation Journey Today I built a Text Summarizer using Python. This project automatically generates a short summary from a long paragraph using the LSA (Latent Semantic Analysis) algorithm with the Sumy library. It helps to quickly understand large text by extracting the most important sentences. 🔹 Technologies Used: Python, Sumy Library Summary: • Python is a powerful programming language used in many fields such as web development, data science, artificial intelligence, and automation. • Many developers prefer Python because of its simplicity and readability. Building small automation projects every day to improve my Python and problem-solving skills. #Python #Automation #CodingJourney #PythonProjects