MindsDB: A Federated Query Engine for AI Models

🐍 Automating the Unmanageable — Python to the Rescue One of my recent Python automation projects involved navigating hundreds of folders containing thousands of PDFs—a mix of valid and invalid documents. ✅ I built a script that: Identified and moved only the invalid documents to a separate location Generated a detailed Excel report showing the status of each file and folder before and after processing The result? A cleaner, more organized file system and a clear audit trail—saving hours of manual effort and reducing error risk. This is just one example of how Python can transform tedious processes into efficient, scalable solutions. If you're still doing this kind of work manually, let's talk. #PythonAutomation #DataCleaning #WorkflowOptimization #ExcelReporting #ProcessImprovement #PythonForBusiness

🗓 Day 5 / 100 – #100DaysOfLeetCode 📌 Problem 2006: Count Number of Pairs With Absolute Difference K The task was to count the number of pairs (i, j) in an array such that the absolute difference between the two elements equals k. 🧠 My Approach: Used a hash map (Counter) to store the frequency of each element. For every number, checked how many times num + k (or equivalently num - k) appears. Accumulated the count efficiently without double-counting pairs. ⏱ Time Complexity: O(n) 💾 Space Complexity: O(n) 💡 Key Learning: This problem helped strengthen my grasp of hash maps and frequency-based counting — a powerful pattern that simplifies many pair-count and difference problems. Every problem adds clarity and confidence — one step closer to mastery 🚀 #100DaysOfLeetCode #LeetCodeChallenge #Python #ProblemSolving #HashMap #DataStructures #Algorithms #DSA #CodingJourney #CodingChallenge #CodeEveryday #CompetitiveProgramming #SoftwareEngineering #LearningInPublic #DeveloperJourney #TechStudent #CodingCommunity #CareerGrowth #KeepLearning #Programmer #LogicBuilding #TechCareer

Back to Basics: If you can't name the difference between a list and a tuple, are you really ready for complex projects? 😉 Today, I took a step back from the fancy stuff and did a deep dive review of the most fundamental concept in Python: Data Types. It sounds simple, but knowing exactly when to use a mutable list (like a shopping list you can change) versus an immutable tuple (like the coordinates of a fixed location) saves headaches, memory, and time down the road. I'm firming up my understanding of: Sequences: str, list, tuple (mutable vs. immutable matters!) Mapping: dict (for powerful key-value relationships) Sets: set (perfect for finding unique items) Boolean: True / False (the core of all logic!) The strongest buildings have the deepest foundations. Time to make sure mine is rock solid before moving to the next chapter! 🧱 What's one foundational concept in tech or data that you still review regularly? Let me know! 👇 #Python #Programming #DataScience #TechSkills #CodingFundamentals #BackToBasics #Learning

Day 5 : Analyze data visualization using Matplotlip📊 Using pythons matplotlib, the data visualization of large and complex data becomes easy. Matplotlib has many plots like pie chart, line, bar chart, scatter plot, histogram, etc. 🔍Topic Covered python matplotlip ✅ Stem Plot ✅Step Plot

𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗰𝗮𝗹𝗹𝘆 𝘁𝘂𝗿𝗻 𝗮𝗻 𝗘𝘅𝗰𝗲𝗹 𝗽𝗿𝗼𝗰𝗲𝘀𝘀 𝗶𝗻𝘁𝗼 𝗣𝘆𝘁𝗵𝗼𝗻! 📊 Spreadsheet files have been widely established for years, but modern companies are updating their workflows based on the Python programming language. Mito AI lets you upload an Excel file and automatically receive a Python script with identical functionality! 𝗖𝗵𝗲𝗰𝗸 𝗠𝗶𝘁𝗼 𝗔𝗜: http://bit.ly/4o1BqxI Here are the main features: • AI agent specifically created for data science and Jupyter • Easily translates the Excel logic and formulas to Python • Generates production ready functions, variables, and tests  • Automatically creates the final deliverable In the video, you can see a demonstration showcasing the power of Mito AI, by easily converting an Excel file to Python code! You can visit the link above for more information, and make sure to follow me for regular data science content. #datascience #python #excel #statistics

Python is now part of Excel, and that changes everything. You can now analyze, summarize, and clean your data right inside Excel using Python, without switching tools or exporting files. With the simple =PY() function, you can build a data frame, query it, and generate instant statistical summaries using .describe(). 📊 Learn how to use Python directly in Excel to automate and elevate your analysis at the Financial Modeling Academy (FMA): https://bit.ly/FMARoutes #FinancialModeling #PythonInExcel #DataAnalytics #FinanceProfessionals #ExcelTips #Automation #FMA

Excel is great for quick analysis, but it becomes less effective when your data gets bigger or your formulas become more complex. That’s where Python in Excel comes in. It lets you run Python code right inside your spreadsheet — no switching tools, no manual workarounds. In this DataCamp article, I explore how to use Python in Excel for advanced analytics, visualizations, and even machine learning, all within your familiar workflow. Read it here: https://lnkd.in/dHWFVFjB #python #excel #analytics

Hello, connections 👋 Welcome to Day 9 of my #30DaysOfPython journey! 🚀 Today, I explored a new concept in Python — Tuples! 🐍 Tuples are used to store multiple values in a single variable, just like lists, but with one major difference: 👉 Tuples are immutable, which means their values cannot be changed after creation. Python provides several useful operations for tuples such as: 🔹 Accessing elements using indexes 🔹 Slicing to get a portion of the tuple 🔹 Finding the length using len() I also learned two important tuple methods: 🔹 count() → returns how many times a value appears 🔹 index() → returns the position of a value Tuples are faster, more secure, and perfect for storing fixed data. Learning tuples helps in writing cleaner, safer, and more efficient programs! 💡💻 LogicWhile #Day9 #Python #Tuples #LearnPython #PythonBasics #CodingJourney #PythonProgramming #TechLearning #ImmutableData #PythonForBeginners #CodeEveryday #Developers #ProgrammingCommunity #StudyPython #CodeWithMe #100DaysOfCode 🚀

🐍 For Loop vs Lambda - The Python Showdown! Two ways to get things done, two very different 𝗽𝗲𝗿𝘀𝗼𝗻𝗮𝗹𝗶𝘁𝗶𝗲𝘀 👇 🔁 For Loop: The “hardworking” one goes 𝘀𝘁𝗲𝗽 𝗯𝘆 𝘀𝘁𝗲𝗽, makes sure everyone gets processed. Readable, reliable, and maybe a bit old-school. ⚡ Lambda Function: The “minimalist” gets the job done in 𝗼𝗻𝗲 𝗹𝗶𝗻𝗲. No drama, no names, just results. When to use what? 𝙐𝙨𝙚 𝙖 𝙛𝙤𝙧 𝙡𝙤𝙤𝙥 𝙬𝙝𝙚𝙣 𝙘𝙡𝙖𝙧𝙞𝙩𝙮 𝙢𝙖𝙩𝙩𝙚𝙧𝙨. 𝙐𝙨𝙚 𝙖 𝙡𝙖𝙢𝙗𝙙𝙖 𝙬𝙝𝙚𝙣 𝙨𝙥𝙚𝙚𝙙 𝙖𝙣𝙙 𝙗𝙧𝙚𝙫𝙞𝙩𝙮 𝙢𝙖𝙩𝙩𝙚𝙧. Both are powerful one’s like writing a story, the other’s like crafting a tweet. #Python #DataScience #CodingLife #Lambda #ForLoop #ProgrammingHumor #Developers #DataMantra

Another great article from Real Python "Python MarkItDown: Convert Documents Into LLM-Ready Markdown." It talked about using the MarkItDown package to process various file formats (pdf, Word, ppt, Excel, etc.) and convert them into clean Markdown format to be passed on to an LLM for various workflows. The tutorial covered using the tool in CLI and creating an MCP server on Claude Desktop to give the LLM the use of MarkItDown as a tool. Very insightful article and something I'd highly recommend my friends who work with the technology to check out! #Python #RealPython #LLM #AItools #MarkItDown #GenerativeAI #AIDevelopment #PythonProgramming #MachineLearning #AIWorkflow #TechEducation #DataScienceTools #ClaudeDesktop #MCP #EdTech #HardingUniversity #AIInnovation