✉️Python + AI: The Essential Skill Combination for Modern Workers Without Coding BackgroundsThis article explores the transformative power of Python and its integration with AI for modern workers, particularly those without a coding background. It highlights how learning Python, specifically the Pandas library, can streamline Excel tasks by automating repetitive processes, handling large datasets, and simplifying complex calculations. Readers are guided on how to get started with online platforms like Deepnote and Google Colab, which require no installation. The article emphasizes leveraging AI to assist in code generation and encourages learning through experimentation. Real-world examples demonstrate Python's efficiency in data analysis, showcasing the significant productivity gains achievable by transitioning from traditional Excel methods to Python programming.
🎣Getting Responses from Local LLM Models with PythonThis article provides a comprehensive guide on how to get responses from local LLM models using Python. It covers essential steps including starting your local LLM system, listing available models through a RESTful API, and generating responses using different endpoints. Readers will learn how to send prompts to the model for both simple completions and interactive chat-like conversations, with detailed Python code examples for each use case. By following this guide, users can effectively integrate LLM capabilities into their applications, enhancing productivity and automation.
🛳️Local LLM Models and Game Changing Use Cases for Life HackersLocal LLMs are models that run directly on personal devices. They offer unique advantages such as enhanced privacy, offline functionality, and customizable use cases. In 2025, I predict local LLMs will become a cornerstone of personal and professional productivity tools.
👢Why You Should Try a Local LLM Model—and How to Get StartedThis article discusses the benefits of using local Large Language Models (LLMs) like LLaMA, emphasizing advantages such as enhanced privacy, speed, cost-effectiveness, and customization. It provides a step-by-step guide for Mac users on downloading and installing LM Studio, selecting and running the LLaMA model, and exploring various use cases, including integration with Obsidian and Python. The conclusion encourages developers and life hackers to embrace local LLMs as a more innovative alternative to traditional AI interactions, highlighting their potential for the future.
⛸️How to Publish an Article to Medium Using Python and the Medium APIPython script automates the publication of Markdown files directly to Medium. The script sends a request to Medium’s API to fetch your user information. The response includes details like your user ID, which is required to publish content.
🎶How to Use DAX Studio to Retrieve All Measures in Power BIDAX Studio is an incredibly powerful tool that allows Power BI users to view and analyze their data model in great detail. One of the key features of DAX. Studio is its ability to extract all measures from a Power BI file. In this blog post, we will guide you through the simple steps to achieve this using DAX Studio.
🌓How to Use Pyinstaller to Generate an EXE FilePyinstaller is an incredibly useful tool for packaging your Python code into a standalone executable file. This makes it simple to distribute and run your code on various systems.
📌Automate SAP Report Extraction with PyAutoGUIAutomating SAP with PyAutoGUI involves using the Python package to simulate mouse clicks and keyboard inputs. It offers the advantage of not requiring extra rights and permissions, but may be less efficient and require more maintenance. This method is best for situations where access to APIs or databases is restricted and there is a need to automate tasks.
🎉Sending Emails with PythonLearn how to automate email sending with Python in this step-by-step guide! Designed for data analysts and Python developers, this tutorial covers the essentials—from setting up an SMTP connection to composing, sending, and closing the email connection. With Python’s smtplib and email.mime.text libraries, you can efficiently send scheduled reports, alerts, or notifications to streamline your daily workflow. Perfect for anyone seeking to integrate email automation into their data analysis or other Python-driven workflows. Includes practical code snippets to help you get started! 📧📊