Microsoft Developer的动态

Today I earned my "Using GitHub Copilot with Python" badge! I’m so proud to be celebrating this achievement and hope this inspires you to start your own @MicrosoftLearn journey! Thanks to Ulster University #Copilot #GitHub #AI #MachineLearning #DeepLearning #DataAnalytic #DataScience

Learn how to easily upload files to Google Cloud Storage for AI demos using Streamlit, a Python framework for building web apps. This tutorial by Allan Alfonso provides a step-by-step guide and code examples to get you started. #python #streamlit #googlecloud #aichatbots #aidemos #this_post_was_generated_with_ai_assistance #responsibleai https://lnkd.in/edQw33Au

Day 7 of my #100daysdatasciencejourney with abdulsamad abduljaleel Ready to Level Up Your Python Game? Here's what I learnt today Whether you're writing your first line of code. Choosing the right IDE can make all the difference! Here’s a quick guide to help you find your perfect match: ?? VS Code – Lightweight, customizable, and powerful, with tons of extensions to enhance Python development. ?? PyCharm – The heavyweight champion for professional projects. With built-in debugging and refactoring tools, it's ideal for large-scale development. ?? Jupyter Notebooks – Data science and machine learning enthusiasts love this one for its interactivity and visualization capabilities. ?? Google Colab – Want to code in the cloud, collaborate with others, and leverage free GPU power for deep learning? Google Colab has you covered! No installation needed—just open, code, and share instantly from any browser. ?? Thonny – Simple, intuitive, and great for beginners taking their first steps in Python. ?? Spyder – Perfect for data analysis with built-in support for scientific libraries. The best IDE for you depends on your needs and style! Which one helps you code your best? #Python #GoogleColab #CloudCoding #DataScience #MachineLearning #IDE

?? Delighted to announce my achievement of the "Using GitHub Copilot with Python" badge from Microsoft Learn! ??? Through this course, I've honed essential skills including: ?? Mastering the integration of GitHub Copilot with Python workflows ?? Leveraging AI for enhanced coding efficiency and accuracy ?? Implementing intelligent code suggestions to optimize development processes ?? Improving code quality and productivity through innovative AI tools Excited to apply these newfound skills to innovate and drive excellence in Python-based projects! #GitHubCopilot #MicrosoftLearn #Python #AIDevelopment #Innovation #ContinuousLearning

Just finished the course “Machine Learning with Python: Logistic Regression” by Frederick Nwanganga! Check it out: https://lnkd.in/dpzXW8WE #python #machinelearning #logisticregression.

Just deployed machine learning model using Docker! I successfully containerized and deployed machine-learning model alongside Python libraries like Uvicorn and FastAPI, ensuring consistent and scalable performance across different environments. This hands-on project allowed me to dive deep into Docker's capabilities, from creating Dockerfiles to managing containers and orchestrating services. I'm thrilled to showcase my hands-on experience in model deployment and keen to explore opportunities where I can contribute my skills to drive impactful solutions. Let's connect to discuss how I can add value to your team! #Docker #Python #FastAPI #Uvicorn #TechInnovation #MachineLearning #ModelDeployment #TechInnovation #Analytics #DataScience

GitHub Models provide a easy access to try various LLM models in its playground. Followings are the key features - Choose the model of your choice from given list - Adjust the parameters such as temperature, max_tokens etc - Set the System prompt (optional) - Ask the questions in a Chat Interface - Copy the Code in Python, Javascript etc to integrate with your APP - You can choose, OpenAI API or Azure AI API depending on models selected. https://lnkd.in/d6c3vbie #github #llms #models #python #azure

Just finished the course “Machine Learning with Python: Logistic Regression” by Frederick Nwanganga! Check it out: https://lnkd.in/g6AYW49f #python #machinelearning #logisticregression.

The F1 summer break is over, and another Grand Prix is just around the corner! ????? During the downtime, I dove into the F1 Trending Tweets dataset, fine-tuning word clouds in Python. I'm excited to share some useful tips and functions to help you create more impactful and visually striking word clouds for your data projects, including: ??Custom stopwords ??Themed colormaps ??Mask images for unique shapes Check out my latest post for more insights and let me know how you've used word clouds in your work! ???? #F1 #DataScience #WordCloud #Python #DataVisualization

Just finished the course “Machine Learning with Python: Logistic Regression” by Frederick Nwanganga! Check it out: https://lnkd.in/dPV_TYm9 #python #machinelearning #logisticregression.