Week 2 | Phase 0 Foundation (Python) | Mini Project video is up. This one's about data structures lists, dictionaries, functions. The stuff that lets you actually organize and manage test data. Built a Test Data Organizer from scratch. A simple CLI tool to add, track, and update LLM test cases. All stored in memory using a list of dictionaries. No database. No framework. Just Python doing the job. If you're following along, try building it yourself first. This video is here if you get stuck or want a different perspective. Link in comments. #GenAITesting #LLMTesting #Python #AITesting #QAEngineer #LearningInPublic #GenAI #SoftwareTesting #52WeekChallenge
Python Data Structures for LLM Testing
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Python Tip of the Day 🐍 sep() and end() in print() help control how output is formatted. sep changes the separator between values, and end controls how the line finishes. Small parameters — but very useful for clean output formatting. Day 5 of building Python basics. #PythonDaily #PythonBasics #DataAnalytics #LearningPython
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🎥 Week 4 | Phase 0 Foundation (Python) | Mini Project video is up. Three weeks of code. All in separate folders. Disconnected. This week I stitched it all together into one reusable package. Built llm-test-utils - a single Python package bundling everything from the past 3 weeks: → Prompt formatter (Week 1) → Test case organizer (Week 2) → llm response validator (Week 3) → All wrapped in a proper package structure Modules. __init__.py. Virtual environments. The stuff that turns scripts into actual software. If you're following along, try building it yourself first. Video's there if you get stuck or want a different perspective. Link in comments. #GenAITesting #LearnInPublic #LLMTesting #Python #AITesting #QAEngineer #QAEngineer #SoftwareTesting #52WeekChallenge
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Sharing a quick walkthrough of a simple linear regression analysis I performed using Python. The task was to predict Total Day Charge from Total Day Minutes in a telecom dataset. The model achieved an almost perfect fit with an R-square score close to 1, showing a strong linear relationship. Watch the video to see the step-by-step process. You can also visit my github account at https://github.com/Itajobi to see more of my projects. #CodvedaIntern #CodvedaJourney #SimpleLinearRegression
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Stop writing for loops for simple transformations. 🛑 If you are still initializing empty lists and appending results one by one, it’s time to upgrade your Python toolkit. The combination of map() and lambda is the ultimate "clean code" hack. It allows you to apply logic to an entire iterable in a single, readable line. What’s inside the new video: ✔️ The Syntax: Breaking down the map(function, iterable) structure. ✔️ Anonymous Power: Why lambda is the perfect partner for one-time logic. ✔️ Real-world Examples: Transforming data without the boilerplate code. Check out the full breakdown here: https://lnkd.in/gmGapwUB Subscribe to Codeayan youtube channel for more such upcoming content.🫡 #PythonProgramming #CodingTips #DataScience #SoftwareEngineering #PythonTips #Codeayan #datascience #pythonfunctions
Python map() Function and Lambda Expressions Explained | PyMinis | codeayan
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🎥 Week 5 | Phase 0 Foundation (Python) | Mini Project video is up. Every LLM test needs data. Prompts. Expected outputs. Thousands of them. This week I built dataset-loader — a tool to load, validate, and save test datasets. What it does: → Load JSON files (single dataset) → Load JSONL files (line-by-line, standard for LLM fine-tuning data) → Validate test case structure → Save results back to file File handling. JSON parsing. pathlib for cleaner paths. The stuff you need when working with real datasets. If you're following along, try building it yourself first. Video's there if you get stuck or want a different perspective. Link in comments. #GenAITesting #LLMTesting #LearnInPublic #Python
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✓ Week 4 Complete From scripts to software. This week was about structure - modules, packages, virtual environments. The stuff that turns messy code into something reusable. Built llm-test-utils - a Python package that bundles everything from the past 4 weeks: → Prompt formatters (Week 1) → Test data organizers (Week 2) → Response validators (Week 3) → All wrapped in a clean package structure (Week 4) Phase 0 (Python Foundation) Still stacking bricks. Code's in the repo - link in comments. #GenAITesting #LearnInPublic #LLMTesting #Python #AITesting #QAEngineer #LearningInPublic #GenAI #SoftwareTesting #52WeekChallenge
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#PythonCoding 𝗣𝗿𝗼𝗯𝗹𝗲𝗺 𝗦𝘁𝗮𝘁𝗲𝗺𝗲𝗻𝘁: 𝗥𝗲𝗺𝗼𝘃𝗲 𝗗𝘂𝗽𝗹𝗶𝗰𝗮𝘁𝗲𝘀 𝗳𝗿𝗼𝗺 𝗮 𝗟𝗶𝘀𝘁 𝗪𝗶𝘁𝗵𝗼𝘂𝘁 𝗨𝘀𝗶𝗻𝗴 𝗣𝗿𝗲𝗱𝗲𝗳𝗶𝗻𝗲𝗱 𝗙𝘂𝗻𝗰𝘁𝗶𝗼𝗻𝘀 𝗤𝘂𝗲𝘀𝘁𝗶𝗼𝗻 Write a Python function that takes a list as input and returns a new list with duplicate elements removed, while maintaining the original order of elements. 𝗖𝗼𝗻𝘀𝘁𝗿𝗮𝗶𝗻𝘁𝘀: The function should work for both numbers and strings. The function should not use built-in functions like set(), dict.fromkeys(), or collections.OrderedDict. The function should preserve the original order of elements. 𝗦𝗼𝗹𝘂𝘁𝗶𝗼𝗻: 1.Create an empty list called unique_list to store only unique elements. 2.Iterate through the original list using a loop. 3.Check if the element is already in unique_list: -->If not, add it to unique_list. -->If it already exists, skip it. 4.Return the unique_list, which now contains elements without duplicates while preserving the original order. #Python #PythonProgramming #LearnPython #PythonDeveloper #CodingLife #PySpark #MachineLearning #Automation
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Week 3 | Phase 0 Foundation (Python) | Mini Project video is up. Built an LLM Response Validator, a library that checks if responses are valid JSON, right length, contain required keywords, and have no forbidden words. Control flow. Functions. List comprehensions. If you're following along, try it yourself first. Video's there if you get stuck. Link in comments. #GenAITesting #LearnInPublic #LLMTesting #Python #AITesting #QAEngineer #LearningInPublic #GenAI #SoftwareTesting #52WeekChallenge
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Excited to share my latest project: Rule-Based Expert System! This is a Python-based rule system that recommends project ideas based on user interest and skill level. It demonstrates basic conditional logic and beginner-friendly decision-making in Python. Features: - Takes user input (domain & skill level) - Suggests relevant project ideas - Simple and interactive Check it out on my GitHub: https://lnkd.in/gvPRKg7M #Python #AI #MachineLearning #RuleBasedSystem #Project #Coding
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𝗣𝘆𝘁𝗵𝗼𝗻 𝗗𝗮𝗶𝗹𝘆 𝗖𝗵𝗮𝗹𝗹𝗲𝗻𝗴𝗲 | 𝗛𝗮𝗰𝗸𝗲𝗿𝗥𝗮𝗻𝗸 – 𝗪𝗵𝗮𝘁’𝘀 𝗬𝗼𝘂𝗿 𝗡𝗮𝗺𝗲? | 𝗗𝗮𝘆 𝟭𝟱 This beginner Python problem reveals who understands functions. Day 15 of my Python Daily Challenge 🚀 Today’s task looked too easy: 👉 Read first name 👉 Read last name 👉 Print a greeting But interviews test more than output 👇 • Do you understand𝗳𝘂𝗻𝗰𝘁𝗶𝗼𝗻 𝗽𝗮𝗿𝗮𝗺𝗲𝘁𝗲𝗿𝘀? • Do you know when to return vs print? • Can you format strings cleanly and confidently? 💡 𝗜𝗻𝘁𝗲𝗿𝘃𝗶𝗲𝘄 𝗽𝗮𝘁𝘁𝗲𝗿𝗻 𝗳𝗿𝗼𝗺 𝗗𝗮𝘆 𝟭𝟱: Clean code isn’t about complexity. It’s about𝗰𝗹𝗲𝗮𝗿 𝗿𝗲𝘀𝗽𝗼𝗻𝘀𝗶𝗯𝗶𝗹𝗶𝘁𝘆 in functions. That’s why I’m revisiting Python fundamentals daily — because small concepts decide big outcomes. Have you ever confused print() and return() before? 👇 #Python #HackerRank #DailyCoding #ProblemSolving #InterviewPrep #LearnInPublic #Consistency
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