LangGraph Complete Course for Beginners – Complex AI Agents with Python
This video course introduces LangGraph, a Python library for building advanced conversational AI workflows using a graph-based approach. It guides viewers through designing, implementing, and managing scalable dialogue systems, covering both theoretical concepts and hands-on coding exercises.
https://www.youtube.com/watch?v=jGg_1h0qzaM
This video course introduces LangGraph, a Python library for building advanced conversational AI workflows using a graph-based approach. It guides viewers through designing, implementing, and managing scalable dialogue systems, covering both theoretical concepts and hands-on coding exercises.
https://www.youtube.com/watch?v=jGg_1h0qzaM
YouTube
LangGraph Complete Course for Beginners – Complex AI Agents with Python
Welcome to this video course on LangGraph, the powerful Python library for building advanced conversational AI workflows. In this course, Vaibhav Mehra will teach you how to design, implement, and manage complex dialogue systems using a graph-based approach.…
Template Strings in Python 3.14: Structured Interpolation
Python 3.14 introduces template strings (t""), which return structured Template objects instead of plain strings, enabling full inspection and control of interpolated expressions. This allows safer, customizable rendering for use cases like shell commands, HTML output, logging, and config generation—offering a powerful alternative to f-strings when you need pre-render control.
https://blog.abhimanyu-saharan.com/posts/template-strings-in-python-3-14-structured-interpolation
Python 3.14 introduces template strings (t""), which return structured Template objects instead of plain strings, enabling full inspection and control of interpolated expressions. This allows safer, customizable rendering for use cases like shell commands, HTML output, logging, and config generation—offering a powerful alternative to f-strings when you need pre-render control.
https://blog.abhimanyu-saharan.com/posts/template-strings-in-python-3-14-structured-interpolation
Template Strings in Python 3.14: Structured Interpolation
Python 3.14 adds t"" template strings for structured interpolation, enabling safe rendering, inspection, and transformation before output.
Modern Python Boilerplate - good package basic structure
https://www.reddit.com/r/Python/comments/1krsxut/modern_python_boilerplate_good_package_basic/
https://www.reddit.com/r/Python/comments/1krsxut/modern_python_boilerplate_good_package_basic/
Reddit
From the Python community on Reddit: Modern Python Boilerplate - good package basic structure
Explore this post and more from the Python community
Dagster - Data Orchestration and Pipelines with Python & DAGs
This video is a practical introduction to using Dagster for Python-based data orchestration, covering core concepts like assets, definitions, scheduling, and the Dagster UI. Through hands-on examples—including building a pipeline with Polars and DuckDB—the tutorial demonstrates how to define, manage, and automate complex data workflows in modern data engineering.
https://www.youtube.com/watch?v=sKqDq4TFbmY
This video is a practical introduction to using Dagster for Python-based data orchestration, covering core concepts like assets, definitions, scheduling, and the Dagster UI. Through hands-on examples—including building a pipeline with Polars and DuckDB—the tutorial demonstrates how to define, manage, and automate complex data workflows in modern data engineering.
https://www.youtube.com/watch?v=sKqDq4TFbmY
YouTube
Dagster - Data Orchestration and Pipelines with Python & DAGs
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In this video…
OpenThinkIMG
OpenThinkIMG is an end-to-end open-source framework that empowers LVLMs to think with images.
https://github.com/zhaochen0110/OpenThinkIMG
OpenThinkIMG is an end-to-end open-source framework that empowers LVLMs to think with images.
https://github.com/zhaochen0110/OpenThinkIMG
GitHub
GitHub - zhaochen0110/OpenThinkIMG: OpenThinkIMG is an end-to-end open-source framework that empowers LVLMs to think with images.
OpenThinkIMG is an end-to-end open-source framework that empowers LVLMs to think with images. - zhaochen0110/OpenThinkIMG
sre-bot
A Google Agent Development Kit (ADK) powered assistant designed to help Site Reliability Engineers (SREs) with operational tasks and monitoring, particularly focused on Kubernetes interactions.
https://github.com/serkanh/sre-bot
A Google Agent Development Kit (ADK) powered assistant designed to help Site Reliability Engineers (SREs) with operational tasks and monitoring, particularly focused on Kubernetes interactions.
https://github.com/serkanh/sre-bot
GitHub
GitHub - serkanh/sre-bot
Contribute to serkanh/sre-bot development by creating an account on GitHub.
Voice_Extractor
Extract voice segments of a target speaker from podcasts - Useful for creating speech datasets.
https://github.com/ReisCook/Voice_Extractor
Extract voice segments of a target speaker from podcasts - Useful for creating speech datasets.
https://github.com/ReisCook/Voice_Extractor
GitHub
GitHub - ReisCook/Voice_Extractor: Extract voice segments of a target speaker from podcasts - Useful for creating speech datasets
Extract voice segments of a target speaker from podcasts - Useful for creating speech datasets - ReisCook/Voice_Extractor
muscle-mem
A cache for AI agents to learn and replay complex behaviors.
https://github.com/pig-dot-dev/muscle-mem
A cache for AI agents to learn and replay complex behaviors.
https://github.com/pig-dot-dev/muscle-mem
GitHub
GitHub - pig-dot-dev/muscle-mem: A cache for AI agents to learn and replay complex behaviors.
A cache for AI agents to learn and replay complex behaviors. - pig-dot-dev/muscle-mem
I don't like NumPy
The author, once a fan of NumPy, now criticizes its complexity and opacity when working with high-dimensional arrays, arguing that common operations often become unreadable and error-prone due to confusing broadcasting, indexing, and function conventions. While NumPy excels at simple cases, the post contends that its design choices—especially around implicit broadcasting and lack of expl...
https://dynomight.net/numpy/
The author, once a fan of NumPy, now criticizes its complexity and opacity when working with high-dimensional arrays, arguing that common operations often become unreadable and error-prone due to confusing broadcasting, indexing, and function conventions. While NumPy excels at simple cases, the post contends that its design choices—especially around implicit broadcasting and lack of expl...
https://dynomight.net/numpy/
DYNOMIGHT
I don’t like NumPy
it’s too hard
Turning Data into Insight
The article demonstrates how to build a flexible, modern data lakehouse architecture using open-source tools like MinIO, Apache Iceberg, Airflow, dbt, Spark, Pandera, and Superset. By integrating these technologies with Docker for easy deployment, it shows how to orchestrate robust data pipelines, ensure data quality, and enable scalable analytics from raw ingestion to interactive dashboards.
https://towardsdev.com/turning-data-into-insight-flexible-lakehouse-with-minio-iceberg-airflow-dbt-spark-pandera-409d036e5542
The article demonstrates how to build a flexible, modern data lakehouse architecture using open-source tools like MinIO, Apache Iceberg, Airflow, dbt, Spark, Pandera, and Superset. By integrating these technologies with Docker for easy deployment, it shows how to orchestrate robust data pipelines, ensure data quality, and enable scalable analytics from raw ingestion to interactive dashboards.
https://towardsdev.com/turning-data-into-insight-flexible-lakehouse-with-minio-iceberg-airflow-dbt-spark-pandera-409d036e5542
Medium
Turning Data into Insight: Flexible Lakehouse with MinIO, Iceberg, Airflow, DBT, Spark, Pandera &…
After previously discussing how we transitioned from traditional storage to MinIO object storage in this article:
Machine Learning Prototyping with DuckDB and scikit-learn
In this post, we prototype a machine learning workflow using DuckDB for data handling and scikit-learn for modeling.
https://duckdb.org/2025/05/16/scikit-learn-duckdb.html
In this post, we prototype a machine learning workflow using DuckDB for data handling and scikit-learn for modeling.
https://duckdb.org/2025/05/16/scikit-learn-duckdb.html
DuckDB
Machine Learning Prototyping with DuckDB and scikit-learn
In this post, we prototype a machine learning workflow using DuckDB for data handling and scikit-learn for modeling.
nlweb
Building conversational interfaces for websites is hard. NLWeb seeks to make it easy for websites to do this. And since NLWeb natively speaks MCP, the same natural language APIs can be used both by humans and agents.
https://github.com/microsoft/nlweb
Building conversational interfaces for websites is hard. NLWeb seeks to make it easy for websites to do this. And since NLWeb natively speaks MCP, the same natural language APIs can be used both by humans and agents.
https://github.com/microsoft/nlweb
GitHub
GitHub - microsoft/NLWeb: Natural Language Web
Natural Language Web. Contribute to microsoft/NLWeb development by creating an account on GitHub.
Python Tooling at Scale: LlamaIndex’s Monorepo Overhaul
https://www.llamaindex.ai/blog/python-tooling-at-scale-llamaindex-s-monorepo-overhaul
https://www.llamaindex.ai/blog/python-tooling-at-scale-llamaindex-s-monorepo-overhaul
www.llamaindex.ai
Python Tooling at Scale: LlamaIndex’s Monorepo Overhaul — LlamaIndex - Build Knowledge Assistants over your Enterprise Data
LlamaIndex is a simple, flexible framework for building knowledge assistants using LLMs connected to your enterprise data.
Flowfile
Flowfile is a visual ETL tool combining drag-and-drop workflows with the speed of Polars dataframes. Build and analyze data pipelines without code. Perfect for analysts and engineers needing fast, intuitive data processing. Designed to run locally or deploy to production environments.
https://github.com/Edwardvaneechoud/Flowfile/
Flowfile is a visual ETL tool combining drag-and-drop workflows with the speed of Polars dataframes. Build and analyze data pipelines without code. Perfect for analysts and engineers needing fast, intuitive data processing. Designed to run locally or deploy to production environments.
https://github.com/Edwardvaneechoud/Flowfile/
GitHub
GitHub - Edwardvaneechoud/Flowfile: Flowfile is a visual ETL tool combining drag-and-drop workflows with the speed of Polars dataframes.…
Flowfile is a visual ETL tool combining drag-and-drop workflows with the speed of Polars dataframes. Build and analyze data pipelines without code. Perfect for analysts and engineers needing fast, ...