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Javarevisited
4w
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Top 10 Data Structures and Algorithms Every Programmer Should Learn
- Data Structure and Algorithms are essential components of programming, with Data Structures being used to store data and Algorithms to operate on that data.
- Understanding Data Structure and Algorithms is crucial in enhancing program performance, as the right choice can greatly improve efficiency.
- These concepts are universal across programming languages, such as Java, C++, Python, JavaScript, Golang, as they serve as the foundation of computer science education.
- Examples like a hash table, known as HashMap in Java and Dictionary in Python, demonstrate how consistent these principles are across different languages.
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Global Fintech Series
4w
8
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Avalara Launches APIs for End-to-End 1099 and W-9 Compliance Automation
- Avalara, Inc. launches new APIs for its 1099 & W-9 compliance solution to automate end-to-end processes efficiently.
- Businesses can collect W-9 forms, validate Tax IDs, verify mailing addresses, e-file 1099 forms, and deliver recipient copies through Avalara's centralized platform.
- The APIs enable automation of processes like matching tax IDs with IRS, validating addresses, e-filing to states, and delivering IRS status updates, leading to greater time savings and resource efficiency.
- Avalara's advanced compliance automation with the 1099 & W-9 APIs aims to streamline operations, improve accuracy, and eliminate manual errors in tax compliance processes.
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Johndcook
4w
262
Stacking positive and negative cannonballs
- Soldiers tasked with stacking cannonballs must arrange them in tetrahedra as per the new commander's OCD requirements.
- The number of cannonballs in the nth tetrahedron layer is known as the nth tetrahedral number.
- Not every number is a tetrahedral number, but it's usually possible to stack any number into no more than four tetrahedra.
- Two ways to meet the commander's demands are listed: avoiding certain numbers or allowing negative cannonballs for stacking.
- Sir Frederick Pollock's conjecture on tetrahedral numbers, proposing sums of at most five tetrahedral numbers, is still open.
- Negative cannonballs can be used to stack any integer as the sum of four tetrahedral numbers.
- A Python code check function is provided to determine if an arrangement of n cannonballs into four tetrahedral piles is possible.
- The use of formulas to generalize definitions, like in tetrahedral numbers, requires conscious handling for better understanding.
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Logrocket
4w
195
Image Credit: Logrocket
Designing LLM-first products, not just features
- The current trend of integrating large language models (LLMs) into products as features like auto-complete, summarization, and natural language queries has been common, but often these features are simply added on to existing products without a complete rethinking of the user experience.
- Designing truly LLM-first products involves making generative capabilities the core organizing principle of the user experience rather than just adding them as features.
- Most current LLM integrations are lightweight and assistive, fitting into existing workflows without fundamentally altering the product's logic or UX.
- LLM-native products redefine the role of AI from a passive assistant to an autonomous decision-maker, where users interact conversationally and the LLM becomes a core system actor.
- Adopting an LLM-first approach triggers significant changes in front-end design, shifting from menu-driven interfaces to conversational interactions, and in back-end architecture towards prompt orchestration and multi-agent coordination frameworks.
- LLM-first systems require a different approach to maintenance as traditional testing methods may not account for the dynamic and contextual evolution of behaviors introduced by LLMs.
- Transitioning to an LLM-first mindset involves questioning the necessity of traditional elements like dashboards, identifying areas where mechanical work can be abstracted, and exploring how the LLM can better represent user intent.
- In a use case example of an expense reimbursement app evolving from a feature-driven phase to an agent-driven phase and finally to a platform-driven phase, the integration of LLMs transforms the user experience into a dynamic and conversational process.
- By moving towards LLM-first products, interfaces evolve from rigid workflows to adaptive, language-driven systems, challenging traditional product design assumptions and emphasizing the potential for powerful and inevitable simplicity in the long run.
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Medium
4w
200
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Lambda Expressions in Java – A Beginner’s Guide with Simple Examples
- Lambda expressions in Java allow for writing cleaner, shorter, and more readable code, especially useful for working with collections or functional-style programming.
- A lambda expression is a concise block of code that takes parameters and returns a value, often used to implement functional interfaces.
- Java examples demonstrate the syntax and benefits of lambda expressions, such as simplifying code for sorting, filtering, and transforming data.
- Lambda expressions reduce boilerplate code, improve readability, enable functional programming, and work well with Java Streams and Collections.
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Dev
4w
178
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🐍 Python Built-in Functions - Ultimate Cheat Sheet
- The article provides a comprehensive overview of Python's built-in functions, categorized alphabetically with explanations and examples for each function.
- Examples include abs() for absolute value, all() for checking if all items are True, and any() for checking if at least one item is True.
- Other functions covered are chr() for ASCII characters, dict() for dictionaries, and divmod() for division and modulus operations.
- The article also explains functions like eval() for evaluating Python code, filter() for filtering iterables, and float() for float conversion.
- Notable functions discussed are globals() for global variables, hash() for hash values, and input() for user input processing.
- Additionally, functions such as map() for applying a function, max() for finding maximum values, and min() for minimum values are outlined.
- The article also covers functions like object() for base class objects, open() for file handling, and print() for console output.
- Lastly, functions like sum() for summation, super() for calling parent class methods, and vars() for object attributes are detailed.
- The cheat sheet concludes with special functions like __import__() for module importing, offering a well-organized reference for Python developers.
- This cheat sheet serves as a valuable resource for Python programmers looking to enhance their understanding and utilization of built-in functions.
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Dev
4w
882
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GoLogin: The Developer's Guide to Multi-Account Browser Management and Web Scraping
- GoLogin is a powerful solution for browser automation, digital fingerprint masking, and multi-account management for developers.
- Key features of GoLogin include browser fingerprint spoofing, API integration, and compatibility with Selenium and Puppeteer.
- Use cases for GoLogin in development include web scraping, social media automation, QA testing, and competitive analysis.
- Developers can get started by signing up for a GoLogin account, configuring browser profiles, and integrating with automation scripts.
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Medium
4w
1.6k
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It’s the Perfect Time to Be a Senior Developer
- The current job market in the tech industry is unusual due to layoffs, AI hype, and remote work debates.
- Despite the challenges, it is an excellent time to be a senior developer because experience, judgment, and leadership qualities are highly valued.
- Senior developers do not necessarily need managerial roles to mentor and guide teams effectively through difficult situations.
- The ability to adapt to changing trends without panicking and provide a calm, steady presence is rare and crucial in today's tech environment.
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Dev
4w
311
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DeadLock: A Smart Way To Manage Your Data Science Projects
- DeadLock is an open-source project management tool designed for Data Scientists and ML Engineers to simplify the management of data science projects by handling dependencies and compatibility issues.
- The tool aims to automate the process of adding required dependencies like Pytorch, TensorFlow, Cuda, etc., generate a 'lock' file to maintain external dependencies, identify and resolve compatibility issues, create project files, initialize Git repositories, and provide boilerplate code based on project type.
- The user can configure all these options through an interactive Command Line Interface, making project management more efficient and tailored to individual needs.
- The creator plans to start working on implementing these features and will provide updates on the progress in the future, emphasizing commitment to the project and sharing results of research in the next post.
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Medium
4w
379
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10 Lies Frontend Developers Tell Themselves (and Everyone Else)
- Frontend developers often deceive themselves and others with false confidence in their codebase.
- One common lie is claiming full migration to TypeScript when in reality, only a portion of the code is properly annotated.
- The actual percentage of TypeScript implementation is lower than proclaimed, often requiring workarounds like @ts-ignore.
- Frontend teams may boast about code consistency but end up with multiple inconsistent button components and alert modals.
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Dev
4w
262
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Context Transference
- The balance between extract and inlining of functions is one of the hardest refactorings to get right.
- Context transference refers to the amount of information that needs to be passed between boundaries when extracting a function.
- A poor refactor occurs when 100% of the callers' context needs to be transferred for the new function to be meaningful, resulting in increased cognitive load.
- Extraction refactorings should operate on a strict subset of the context of the parent function to be meaningful and not detrimental to reading code.
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Dev
4w
35
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Brighter’s Threading Model: Why Dedicated Threads Power Async Messaging Pumps
- Brighter's messaging pump architecture utilizes Reactor and Proactor patterns for message processing.
- Configuring the number of messaging pump instances in Brighter allows for horizontal scaling by adjusting the noOfPerformers parameter.
- Brighter uses dedicated threads for message processing to ensure thread safety, scalability, and reliability in both synchronous and asynchronous workflows.
- The design rationale behind Brighter's threading model prioritizes explicit thread management over Task.Run for better control and performance.
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Dev
4w
151
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🌟 Introducing Gold: A Creative Programming Language for the Modern Web
- Gold: A new programming language, browser-first, CDN-ready, minimalistic, and creative.
- Gold simplifies web-based programming with a command-driven approach, removing boilerplate.
- Key features of Gold include type-safe variables, live DOM binding, reactive watchers, and a Virtual DOM engine.
- Support for .gold files, project goals, CDN links, and creator information are also provided.
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Dev
4w
133
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Which Authentication Method Would You Choose for Your Website in 2025?
- Authentication methods in the digital world are evolving constantly to enhance security and user experience.
- Options like social login with Google, Facebook, or Apple offer convenience but raise concerns about control and reliance on third parties.
- Multi-Factor Authentication (MFA) provides enhanced security through multiple layers but may introduce friction in the login process.
- Single Sign-On (SSO) streamlines access across multiple services, catering to scalability but may be perceived as complex for smaller websites.
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Dev
4w
311
Image Credit: Dev
How I Broke My Flutter App with a Simple + and What I Wish I Knew Sooner
- Concatenating strings using the + operator in Dart can lead to the creation of unnecessary string objects in memory, impacting app performance.
- Using StringBuffer instead of + for string operations in loops or when building dynamic text can significantly improve performance, reduce memory usage, and enhance code clarity.
- Replacing + with StringBuffer is particularly beneficial for Flutter apps with tasks involving large or repetitive string operations, such as generating reports, logs, or dynamic content.
- The key takeaway is to use StringBuffer for dynamic text building in Dart to boost performance and avoid unnecessary memory allocations, leading to a smoother user experience.
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