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@PootSoHard
Security Engineer @ Google
Austin, TX Katılım Eylül 2013
688 Takip Edilen57 Takipçiler

Python Question / Quiz;
What is the output of the following Python code, and why? 🤔🚀 Comment your answers below! 👇
#python #programming #developer #programmer #coding #coder #webdeveloper #webdevelopment #pythonprogramming #pythonquiz #machinelearning

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@Python_Dv B. X and Y point to the same location in memory. Changing one changes both.
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Python Question / Quiz;
What is the output of the following Python code, and why? 🤔🚀 Comment your answers below! 👇
#python #programming #developer #morioh #programmer #coding #coder #webdeveloper #webdevelopment #pythonprogramming #pythonquiz #machinelearning

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Have you been experiencing the AT&T service outage? Let us know below! kvue.com/article/tech/a…
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Managing Data at Scale: A Closer Look at Modern Database Options
Whether it's Facebook organizing posts for over a billion users or Netflix tracking viewing history to serve personalized recommendations, web-scale applications require specialized databases to handle massive amounts of data.
Relational databases have long been the standard for structured data storage. However, new database types have emerged to meet evolving data storage needs.
Analytical Databases: Optimized for complex business intelligence queries across large datasets. Column-oriented storage models allow for huge compression ratios and blazing fast aggregations. By storing data by column rather than row, analytical databases can perform rapid scans to calculate sums, averages, and other math across huge sets of records. This columnar storage and optimized aggregation makes it possible to interactively query billions of rows for fast insights.
NoSQL Databases: Deliver flexibility beyond the tabular relational model. Different NoSQL databases excel at different tasks:
- Graph databases efficiently store interconnected data points for social graphs, fraud detection, etc.
- Key-value stores enable lightning-fast lookups for caching and other use cases requiring fast, simple data access.
- Document databases store hierarchical data in JSON documents. Highly scalable.
- Column databases store data by column rather than by row. This structure optimizes analytical query performance and compression for huge datasets.
Object-Relational Mapping (ORM): Bridges object-oriented code to relational databases by automatically converting between data representations. This eliminates tedious manual data manipulation. However, the abstraction layer can add performance overhead for complex reads and writes. Debugging can also be challenging due to the magic happening behind the scenes.
The key is choosing the right database for your specific access patterns and data models. A typical web application may use a combination of relational, NoSQL, and ORM technologies to deliver the best performance at scale.
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@AUStinAirport You should do a live look at the traffic into the terminal
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@Python_Dv But what if I want a keyerror exception without having an extra step to check if the value is None
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#ActiveDirectory DACL Abuse
Windows Event IDs that can be used to identify malicious modification of a user object.
#ThreatHunting #DFIR

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I've dumped a quick script to show how IIS decrypts AppPool credentials. Uses iisCngWasKey stored in C:\ProgramData\Microsoft\Crypto\Keys, derives a key and decrypts with BCryptDecrypt. Crypto logic is in inetsrv\nativerd.dll. github.com/xpn/RandomTSSc…

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@austinenergy @austinenergy Do better! Be more transparent with the outage times. It’s absurd you just leave families without power and the only update is “pending”. Do better!
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@austinenergy Good ol Austin energy failing at keeping the power on, again. This city service is a joke.
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