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RealPython

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Basic Data Types in Python: A Quick Exploration

  • Python data types form the core of most Python programs, allowing you to handle numeric, textual, and logical data efficiently.
  • Python's basic data types include int, float, complex, str, bytes, bytearray, and bool.
  • You can check a variable's type using the type() function in Python.
  • Python has several built-in data types such as numbers, strings, bytes, and boolean values.

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RealPython

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A Practical Introduction to Web Scraping in Python

  • Python web scraping allows you to collect and parse data from websites programmatically.
  • You can build a Python web scraping workflow using libraries like urllib, Beautiful Soup, and MechanicalSoup.
  • Python is well-suited for web scraping due to its extensive libraries.
  • Data scraping may be illegal if it violates a website’s terms of use, so always review the website’s acceptable use policy.

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Medium

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Understanding Port Numbers vs Protocol Numbers: Why Both Matter in Networking

  • Port numbers are addresses to specific services running on a computer.
  • Protocol numbers are identifiers for Internet Layer protocols within the IP suite.
  • Port numbers focus on services, while protocol numbers focus on how data gets delivered.
  • Seamless coordination between protocol and port numbers ensures efficient and accurate data transfer.

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Medium

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How to crack a Microsoft interview

  • After applying, he got an online coding test Codility.
  • The test had 2 coding questions, and had 90 minutes to solve them.
  • Interview Round 1 (Technical Interview): Topics discussed were data structures and algorithms.
  • The interviewer asked questions related to connecting the 'previous' pointer of a binary tree and spiral order printing of a matrix.

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Dev

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Understanding Web Authentication: Sessions vs. JWTs

  • Session-based authentication involves the server creating a session upon login and sending a unique session ID to the client. The client includes the session ID with each request for the server to authenticate the user.
  • Key benefits of session-based authentication include easy revocation and centralized security. Challenges include distributed systems and added latency.
  • JWT-based authentication involves the server generating a signed JWT after successful login. The client stores the JWT and sends it with each request for the server to verify and authenticate the user.
  • Key benefits of JWT-based authentication include being stateless and scalable, and compatibility with microservice architectures. Challenges include token expiration and security trade-offs.

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Medium

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Blue screen of death

  • The blue screen of death (BSOD) was initially designed to grab attention with its stark blue background and cryptic warning.
  • A programmer added a hidden Easter egg message as a joke, but it was rarely seen by users due to the quick appearance of the BSOD.
  • The BSOD appears when Windows encounters a critical error that it cannot recover from.
  • Although it may not be as common or terrifying as before, the BSOD remains an iconic part of Windows history.

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Medium

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Recently, Google fired the entire Python team. Is Python still relevant in the age of AI

  • Python continues to be one of the best programming languages globally, despite the recent decision by Google to lay off its entire Python team in the US.
  • Here are some reasons why Python is still relevant:
  • 1. Easy to learn and use: Python has a simple syntax, making it beginner-friendly.
  • 2. Free and open-source: Python is freely available for use.
  • 3. Versatile: Python can be used on various platforms.
  • 4. Powerful: Python is widely used in data science, web development, and machine learning applications.

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Medium

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Google Makes a Quantum Leap with New 'Willow' Chip

  • Google has made a major breakthrough in quantum computing with its new 'Willow' chip.
  • The chip can solve complex problems in minutes, which would take regular computers an unimaginable amount of time.
  • This achievement demonstrates the capabilities of quantum computers and their ability to solve previously unsolvable problems.
  • Hartmut Neven, the founder of Google Quantum AI, believes that Willow is the most convincing prototype of a quantum computer to date.

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Dev

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LeetCode Challenge: 12. Integer to Roman - JavaScript Solution 🚀

  • Converting integers to Roman numerals is a fun problem involving string manipulation and careful application of Roman numeral rules.
  • The problem is to convert an integer into its Roman numeral representation, following specific rules and using subtractive notation for certain values.
  • The JavaScript solution to this problem involves a greedy approach, starting with the largest Roman numeral and subtracting its value from the number while appending the numeral to the result.
  • The solution uses a predefined map of Roman numeral values and symbols, and iterates through the map to build the Roman numeral string.

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Dev

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#11 Next.js 15: Revolutionizing Server-Side Rendering (SSR) for Modern Applications😯🤓

  • Next.js 15 brings game-changing updates to Server-Side Rendering (SSR) for modern applications.
  • Key updates in SSR for Next.js 15 include transitioning to asynchronous request APIs for faster response times, updated caching semantics for more control over data freshness, enhanced hydration error reporting for easier debugging, and improved build times and SSR performance with Turbopack.
  • An example workflow for SSR in Next.js 15 is provided, demonstrating fetching and displaying user data dynamically using server-side API routes.
  • Next.js 15 makes SSR more powerful and developer-friendly, offering improved performance, caching control, error reporting, and build times. Upgrading projects to Next.js 15 can result in faster and more scalable applications with an enhanced user experience.

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Medium

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Understanding HTTP: The Backbone of the Web

  • HTTP is a protocol built on top of TCP, specifying rules for communication.
  • HTTP is one of many application protocols, including FTP, SSH, DNS, etc.

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Prodevelopertutorial

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Tree data structure tutorial 11. Introduction to Segment Trees

  • Introduction to Segment Trees
  • Need for Segment Tree: Find the sum of given range in an array; Find the min value in the given range in an array
  • Finding the sum for given range in an array.
  • Find the min value in the given range in an array

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Dev

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5 Essential Patterns for Building Resilient Java Microservices: A Developer's Guide

  • Circuit Breaker pattern isolates problematic services and prevents cascading failures and can be implemented in Java using libraries Hystrix or Resilience4j.
  • Service Discovery pattern allows services to register themselves and discover other services without hardcoding network locations. Spring Cloud Netflix Eureka is a popular choice for implementing service discovery in Java applications.
  • API Gateway pattern is a centralized place for handling cross-cutting concerns like authentication, logging, and rate limiting. It's advisable to design API gateway to handle the expected load and implement caching strategies.
  • Event Sourcing pattern persists all changes as a sequence of events, and it offers an enhanced audit trail and flexibility. It allows reconstruction of the account state at any point in time.
  • Command Query Responsibility Segregation (CQRS) separates read and write operations, allowing each to be optimized independently, and is especially useful in systems with a complex domain model or high read-write margin.
  • Implementing these patterns in Java microservices requires appropriate consideration of your specific use case and requires performance testing and maintaining observability in rigid systems.
  • Ensure security in your system with proper service-to-service authentication and authorization, OAuth2 and JWT (JSON Web Tokens) are commonly used for this purpose in Java microservices and consider using a message broker like Apache Kafka for reliable event distribution.
  • Container technologies like Docker and orchestration platforms like Kubernetes greatly simplify the deployment and scaling of Java microservices.
  • Leveraging Circuit Breaker, Service Discovery, API Gateway, Event Sourcing, and CQRS patterns, you can create robust Java microservices systems that withstand modern, distributed computing environments.
  • As you venture into the realm of microservices, keep learning and innovating, and remember that building resilient systems is as much about understanding patterns as it is writing code.

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Stackabuse

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Performance Optimization for Django-Powered Websites on Shared Hosting

  • Running a Django site on shared hosting can be really agonizing, but with a few fixes here and there, you can get your site running way smoother.
  • Reducing server load, regular monitoring and contacting your hosting provider can help you handle the limited resources and avoid the noisy neighbor effect on shared hosting.
  • Flipping the debug switch off, configuring allowed hosts and caching are some tricks to make your site more secure and efficient.
  • Query optimization can be done by using .select_related() and .prefetch_related(), indexing your database and fetching only what you need.
  • Offloading static files to a CDN can improve your site's speed by freeing up server storage, and it's better to compress and optimize files to reduce sizes.
  • Keeping middleware lightweight reduces server strain and uses fewer resources.
  • Optimizing your frontend code can dramatically improve the user experience by combining CSS and JavaScript files, compressing images without losing quality, delaying image loading and enabling gzip compression.
  • Tools like Django Debug Toolbar, Sentry, New Relic or Google Lighthouse help in monitoring, measuring and optimizing your code, settings and site's performance.
  • These tricks can make a big difference in your Django site’s performance on shared hosting without spending too much money.
  • But if your site is still slow, it might be time to switch to cheap dedicated hosting plans.

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Medium

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Hashing in Python Sets and Dictionaries

  • Hashing is a process that converts data into a fixed-size numerical value, known as a hash code.
  • In Python, sets and dictionaries are implemented as hash tables.
  • Sets use a hash function to determine the position of elements in memory.
  • This allows for fast membership tests and efficient insertion, lookup, and deletion operations.

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