In June 2025, a vulnerability (CVE-2025-48432) was discovered in Django that allowed remote adversaries to tamper with log output. This leads to forged logs, which allows an adversary to introduce fake log entries that compromise log integrity and make forensic audits difficult. 👉 Read more: https://lnkd.in/grYtNHdY 👉 Check out our blog: https://secdim.com/blog/ #appsec #securecoding #python #programming
Django Log Tampering Vulnerability Discovered
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Jovyan 1.11 is out 🚀 with Python Interactive Window and Smart Interruption This release introduces two key features: 1. Python Interactive Window Exploration is central to the data science workflow. Working with data in memory is not a nice-to-have, it is essential. Jovyan can now work directly in the VS Code Python Interactive Window, so you can iterate faster. It can explore more freely, and validate assumptions before implementing the solution. 2. Smart Interruption Data pipelines and model training can take hours. Spot an issue mid-run? Interrupt the execution and add feedback. Jovyan will analyze what happened, fix the problem, and retry, while keeping the full context of that run. Full blog post for more details : https://lnkd.in/ekvQEH9t
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It's Thursday, it's a new Jovyan release. In this release we continue to improve 2 parts that is central in data science and ML workflow: 🔎 Explore : Jovyan can now use Python Interactive Window to interact with data in a Ipython session even outside of a notebook. ⏹️ Smart Interruption: Training script not going well? Interrupt and give feedback, Jovyan will iterate and improve with smart context. Follow and subscribe for more release every week!
Jovyan 1.11 is out 🚀 with Python Interactive Window and Smart Interruption This release introduces two key features: 1. Python Interactive Window Exploration is central to the data science workflow. Working with data in memory is not a nice-to-have, it is essential. Jovyan can now work directly in the VS Code Python Interactive Window, so you can iterate faster. It can explore more freely, and validate assumptions before implementing the solution. 2. Smart Interruption Data pipelines and model training can take hours. Spot an issue mid-run? Interrupt the execution and add feedback. Jovyan will analyze what happened, fix the problem, and retry, while keeping the full context of that run. Full blog post for more details : https://lnkd.in/ekvQEH9t
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Imagine opening a project with hundreds of folders and files and realizing you need to document the entire structure. Doing it by hand would take hours and drive anyone crazy. But a tiny Python script scans everything in seconds, skips the useless folders, and creates a clean structure file automatically. One click, done. This is the kind of everyday problem programming quietly destroys.
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Recently tried uv and... wow. Per-project Python versions (e.g., 3.11) without touching the system Python. Virtual environments created in seconds. No activation step required to run scripts. It replaces a big chunk of the usual setup friction (pyenv + venv + pip) with a single, fast tool. If you work with Python regularly, this is absolutely worth a look. #python #backend #devtools #engineering #programming
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Mastering Python data types is essential for clean, efficient code. 🐍💡 Knowing when to use a list versus a tuple can make all the difference! Here's a quick guide to the essentials: int / float: Whole and decimal numbers. str (string): Text/characters. list: Ordered, changeable (mutable) collections. tuple: Ordered, unchangeable (immutable) fixed data. set: Unique, unordered values (great for removing duplicates). dict (dictionary): Key-value pairs (like an address book). Save this post as a quick reference! Which data type do you find yourself using most often? 👇 #Python #CodingTips #DataTypes #Programming #LearnPython #TechEducation
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Project upload (day 2) Number Guessing Game (Python) A beginner-friendly Python console game where the computer generates a random number within a defined range and the user tries to guess it. The program provides feedback for high or low guesses, validates input, tracks the number of attempts, and allows the user to exit after winning. This project helped me practice loops, conditionals, input validation, and basic program flow.
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AutoPtT is a specialized tool for performing Kerberos Pass-the-Ticket attacks and ticket enumeration. Written in C++ and Python, it serves as a standalone alternative to Rubeus and Mimikatz. The tool offers functionality to list logon sessions, view tickets across sessions, export TGTs using LogonId, and import ticket files. It streamlines the PtT attack process through both automated and manual approaches. 🔗 https://lnkd.in/g6r6KnRh
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🚀 Day 24/30 – Mini Python App Challenge Built a PIN Login System 🔐 using Python. Features: • 3 login attempts • Account lock mechanism • Simple security simulation Concepts used: loops, conditionals, counter logic GitHub 👇 🔗 https://lnkd.in/dCSFW_Hd #Python #LearningInPublic #30DaysOfCode #SecurityBasics #github
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Stop Validating Data Manually in Your API #programming #python #coding Learn how to use Path Parameters in FastAPI with automatic type validation. By adding a simple Python type hint (int) to your route function, FastAPI automatically creates a dynamic URL structure and validates incoming requests. If a client tries to access /users/abc, the server rejects it with a 422 error automatically, protecting your code from crashing without any manual if statements.
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Today I practiced if-else conditions by building a small program that checks whether a number is positive or negative. This time, instead of using int, I used float — so the program can handle decimal numbers as well. What I learned today: Difference between int and float Handling decimal inputs Strengthening conditional logic with if-else Even a small improvement like choosing the right data type makes the program more flexible. #Python #PythonLearning #CodingJourney #100DaysOfCode #BeginnerPython #Programming #LearningToCode #DeveloperJourney #TechGrowth #FutureDeveloper
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