
Explore Jupyter and Python fundamentals for scientific computing, covering basic syntax, data structures, and essential libraries for engineering applications.

Discover how SK Telecom built a modern data platform on AWS, transforming their on-premise Datalake to cloud, featuring integrated analytics tools like Datahub, Jupyter, and QuickSight for enhanced data processing capabilities.

Dive into the development journey of Vane, a managed Airflow SaaS platform, exploring its architecture, implementation challenges, and valuable insights gained from operating data platforms at scale.

Master the art of creating interactive data science demos without frontend skills, from Jupyter notebooks to cloud-hosted MVPs that enable stakeholder feedback and testing before customer deployment.

Leverage Apache Iceberg, Toree, and Airflow for efficient data quality validation. Customize data audits with Jupyter notebooks and orchestrate workflows at scale using open-source Apache projects.

Explore innovative software development approaches, tools, and their evolution. Learn about nbdev, its implementation, challenges, and future directions from fast.ai's entrepreneur-in-residence.

Model a pendulum's motion using Python and Jupyter Notebooks. Learn to apply Newton's second law in polar coordinates and visualize the results through practical coding exercises.

Learn to count tokens consumed by OpenAI's API using the Tiktoken library, optimizing your usage and costs.

Aprende a utilizar Whisper, el modelo de reconocimiento de voz de OpenAI, para transcribir y traducir audio con precisión.

Explore Elyra's integration with Kubeflow 2.0, enhancing ML workflow development and deployment on Kubernetes with visual editing and multi-language support.

Connect a Llama 2 chatbot to the internet, enabling Bing searches and custom function integration for enhanced capabilities like Google searches, paper lookups, and API connections.

Master LLM instruction fine-tuning techniques, from understanding special tokens to implementing various prompt formats. Gain hands-on experience with datasets and Jupyter lab, culminating in practical chat fine-tuning results.

Explore fine-tuning techniques for multi-modal video and text models, covering dataset generation, clipping, querying, and evaluation using IDEFICS 2 and Jupyter Notebooks.

Launch Jupyter and learn how to submit HW_01 in Google Classroom for ME3255, covering essential steps for successful assignment completion.

Learn to use Jupyter Notebooks and submit your first homework assignment in this practical guide for ME5180 students.

Learn to create functions, write effective docstrings, and navigate Jupyter notebooks for efficient coding and documentation in engineering applications.

Deploy Jupyter notebooks as web services effortlessly with Jupyrest, a Microsoft-developed library that transforms notebooks into microservices without modifications, streamlining the process for data scientists.

Explore real-time data visualization using Perspective and Spark Streaming. Learn to build high-performance, interactive applications for analyzing streaming data in various industries.

Deploy Jupyter notebooks as web services effortlessly with Jupyrest, a Microsoft-developed library that transforms notebooks into microservices without modifications, streamlining the process for data scientists.

Explore generative AI in technical writing, analyze audience, and practice prompt engineering with hands-on exercises in document editing and version control.

Explore LLM potential through APIs, covering environment setup, basics, chat conversations, and practical demonstrations. Gain insights and lessons for effective implementation.