Day 13/100: Leveling Up APIs with Validation, Error Handling & Authentication 🚀 This week has been all about making my APIs smarter, safer, and more robust. Here’s a quick recap of what I accomplished: Python (FastAPI) – Input Validation & Error Handling Added request validation using Pydantic Implemented global error handling Result: Python API now validates inputs and handles errors gracefully. Node.js (Express) – Input Validation & Error Handling Used Joi for request validation Built global error-handling middleware Result: Node.js API now validates requests consistently and reports errors reliably. Python JWT Authentication Created register/login endpoints with password hashing via Passlib Generated and verified JWT tokens to secure endpoints Result: Python API endpoints are now secured with authentication. Every day, my APIs are becoming stronger. Excited to keep building and stacking these skills! Chris Nyeche #100DaysOfCode #Python #NodeJS #FastAPI #ExpressJS #JWT #BackendDevelopment #APIDevelopment #BuildInPublic
API Validation, Error Handling & Authentication with Python & Node.js
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Log 2/100: Telnetting into the Switch Python Library: telnetlib Today, I wrote a script to Telnet into my lab switch, but it kept crashing. After some troubleshooting, I found the exact issue: Python is just too fast. The script kept pasting the username before the switch had even generated the login prompt. The Fix: I added an extra line to the script (read_until) to force Python to wait and read the output until it actually saw the word "login:", and then asked it to paste the username. I applied the same logic to the Password prompt as well. Suddenly, the script started working flawlessly. The Takeaway: Writing the code is the easy part. Anticipating timing issues and making sure the script actually works without breaking in production is the tough part! The scirpts executes the show version command on the switch. Git Hub Repo: https://lnkd.in/gFkfNyWm Git hub Profile: https://lnkd.in/gjJJJQeT #Python #NetworkAutomation #NetDevOps #NetworkEngineering #100DaysOfCode #ArubaCX #CodingJourney
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pip install neo4j-mcp-server Our official MCP Server has been wrapped as a standard Python package on PyPI means installation follows the conventions every Python developer already knows. It integrates cleanly with pip, uv, pipx, and uvx. That's all you need to install our official MCP Server using Python tooling. Huge shout out to the excellent team of Engineers , that I am privileged to work with on a daily basis, who have made this possible. #mcp #genai #ai #neo4j
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Pydantic is a Python library that helps you: 👉 Validate data automatically 👉 Convert data types safely 👉 Define clear data structures Before Pydantic, these were the problems: - You forget validation → bugs - Wrong types → crashes - Messy code everywhere With Pydantic: - Converts "25" → 25 - Validates data - Throws error if invalid Pydantic is heavily used in: - APIs → with FastAPI - Data pipelines - Backend systems - Config validation These are some of the advantages of Pydantic. #Python #Pydantic #datavalidation #LLMs
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🚨 Production Failure Debugged: Missing Dependencies in Docker Today I faced a common but critical issue while running a Python application inside a Docker container. Problem: The container failed to start due to missing Python libraries in production, even though the app worked perfectly on my local machine. Root Cause: Docker containers are isolated environments. Required dependencies were not installed inside the container because: - requirements.txt was not properly used. - Required dependencies were missing. ✅ Solution: - Updated Dockerfile to include system dependencies - Installed Python packages using requirements.txt - Rebuilt the Docker image and verified using container logs 🛠 Key Fix: Used proper layering in Dockerfile and ensured all dependencies are installed during build time. Jibbran Ali Vimal Daga LinuxWorld Informatics Pvt Ltd #Docker #DevOps #Python #LearningInPublic #CloudComputing
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🚀 Python 3.14 Level Up: UUIDv7 is here! If you're still using uuid4() for your database keys, you’re fragmenting your indexes. Random IDs = slow writes as your DB grows. 📉 The Fix: UUIDv7 (Now native in Python 3.14!) It’s time-ordered. It sorts naturally. It keeps your database fast. ❌ The Old (Random): id = uuid.uuid4() # Great, but kills DB performance at scale. ✅ The New (Ordered): id = uuid.uuid7() # Fast, sortable, and production-ready. Why?? * Better DB Performance: Sequential inserts = happy B-Trees. * No more shutil: pathlib now has .copy() and .move() too! Are you upgrading to 3.14 for the speed, or staying on 3.12 for the stability? 👇 #Python #CleanCode #Backend #SoftwareEngineering #Databases
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pyLoad is a free and open-source download manager written in Python. The fix for CVE-2026-33509 added an ADMIN_ONLY_OPTIONS set to block non-admin users from modifying security-critical config options. The storage_folder option is not in this set and passes the existing path restriction because the Flask session directory is outside both PKGDIR and userdir. A user with SETTINGS and ADD permissions can redirect downloads to the Flask filesystem session store, plant a malicious pickle payload as a predictable session file, and trigger arbitrary code execution when any HTTP request arrives with the corresponding session cookie. This vulnerability is fixed with commit c4cf995a2803bdbe388addfc2b0f323277efc0e1.
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being a Senior Developer is only about 1/3 Python knowledge. The other 60% is the ecosystem. It’s the tooling. It’s all of the tech around Python that makes you stand out from the rest. https://lnkd.in/dcf54mVY
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Most teams do not reach for hashtag #PyFlink because Python feels nicer. They reach for it after paying the production cost of splitting one ML system across two ecosystems: Python for training, Java for prediction, and months lost to subtle feature mismatches, latency, and debugging. That is the real adoption driver. New on ML-Affairs: "If the real source of friction in your system is that your training, feature logic, and model-adjacent code live naturally in Python, then "just use Java hashtag #Flink" is not a neutral suggestion. It is an architectural trade, and often an expensive one." https://lnkd.in/e99uC3hU
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🚀 Just Built My First API Integration Project in Python! Today I worked on integrating a live Quotes API using Python and the requests library. GITHUB Repo Link:- https://lnkd.in/gdx-b94v The project fetches random motivational quotes from an online API and displays them in real-time. 💡 Key learnings from this project: How to work with APIs and endpoints Handling JSON responses in Python Using response.raise_for_status() for error handling Writing clean exception handling with try-except Saving API data into a file with timestamps 📌 Built Features: Fetch random quotes from API Display quote & author in terminal Save quotes in a text file for future use This small project helped me understand how real-world applications communicate with external services. Next step: Building a GUI-based Quote Generator App 🚀 #Python #APIs #BeginnerProjects #CodingJourney #100DaysOfCode #Developers #LearningByDoing
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Great Job! JWT Authentication is very beautiful for protection. Abdulmuheez QAZEEM what do you think?