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Medium

181

Python is Becoming Too Complicated for Beginners

Learning Python has become more complex for beginners, with the need to navigate through various tools, frameworks, and best practices.
The growing complexity takes away from problem-solving and focuses more on understanding numerous tools and libraries.
Python's dynamic typing can lead to hard-to-debug errors for beginners who are not yet comfortable with data structures and type expectations.
Type-related bugs often go unnoticed until runtime, making debugging more challenging.

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Medium

375

The Dark Side of Python: Why It’s Slower Than You Think

Python's performance is affected by being interpreted and not compiled like C or Java.
Using Just-In-Time (JIT) compilation, such as PyPy, can improve performance by compiling parts of the code at runtime.
Python's Global Interpreter Lock (GIL) restricts true parallel execution of Python threads, hindering CPU-bound applications.
The dynamic typing feature in Python, while providing flexibility and expressiveness, incurs a performance cost.

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Medium

245

Image Credit: Medium

Cursor tip — want to speed up your vibe coding — do JSON first

Tracking writing sessions and progress with JSON in Cursor.
JSON first vibe coding is more efficient and reduces the chance of errors.
Lowering the load by simplifying tasks and minimizing bug-tracing.

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14 Likes

Hackernoon

202

Image Credit: Hackernoon

Leading Smart Account Protocol ‘SAFE’ And Its Community Invited To Binance’s’ Vote To List’ Program

Binance has invited Safe and its global community to participate in the 'Vote to List' campaign.
Safe's market traction and leadership in secure smart account solutions for Ethereum and EVM ecosystems is highlighted.
Safe's current RWA smart account protocol has processed $1 trillion in total transaction volume.
Safe recently unveiled 'Safenet', a transaction co-processing network for scaling real-world asset transactions.

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Sdtimes

189

Image Credit: Sdtimes

GitHub Copilot adds agent mode, MCP support in latest release

GitHub Copilot has released a new version with agent mode and MCP support.
Agent mode allows Copilot to iterate across a project, suggesting terminal commands and analyzing errors.
MCP support enables Copilot to use different tools for different tasks, based on an open standard for connecting data sources to AI tools.
Premium requests to AI models other than Copilot's base model will now be subject to limits.

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Medium

146

Image Credit: Medium

Laravel 12 Dev Hack: Generate CRUD with One Simple Command

Laravel 12 has a tip to save time in generating basic CRUD operations.
By creating an Artisan command, all the necessary components like Model, Migration, Controller, Form Request, and route can be auto-generated.
By implementing this command, developers can avoid repetitive copy-pasting and switching between multiple terminal commands.
This feature in Laravel 12 improves the developer workflow and saves time, allowing them to focus on building features rather than boilerplate code.

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Hackernoon

401

Image Credit: Hackernoon

Extsy Officially Launches Today: A New Era Of Seamless Crypto Trading With Industry-Leading Features

Extsy, a cutting-edge cryptocurrency exchange platform, officially launches today, aiming to revolutionize the crypto trading experience with innovative features.
The platform offers instant asset swaps, low fees, and user-focused tools, with a goal to become a 'top 10' global crypto exchange in the next 12 months.
Extsy provides an intuitive, secure, and seamless trading platform for users of all levels, catering to the needs of both beginners and experienced professionals.
Key features include instant crypto swaps with low fees, fiat-to-crypto purchases, a robust referral program, pro-level trading tools, a virtual card, P2P trading with escrow protection, and crypto raffles.
Extsy prioritizes security, being independently certified as 100% secure by Hacken, ensuring the protection of user funds and personal information through advanced encryption.
The platform aims to be one of the 'top 10' global exchanges by focusing on growth, innovation, and providing unique benefits to its users, fostering an engaged trading community.
Extsy strives to offer a streamlined, low-fee crypto trading experience that is secure, fast, and transparent, setting a new standard in the crypto exchange industry.
With features like P2P trading, instant fiat-to-crypto purchases, and tools for all levels of traders, Extsy aims to redefine the crypto trading landscape.
As Extsy embarks on its official launch, users, investors, and crypto enthusiasts are invited to participate in this groundbreaking movement to reshape the crypto trading space.
For more information about Extsy and its services, users can visit www.extsy.com or download the Extsy app to explore the platform.

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Medium

375

Image Credit: Medium

5 Lesser Known Best Practices For Dockerfiles

Setting shell options in Dockerfiles is a lesser-known best practice.
It improves the overall robustness of the Dockerfile.
Docker by default builds Dockerfiles with undefined variables and non-zero exit codes without any complaints.
Adding the directive for setting shell options can help to detect and handle these issues.

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22 Likes

Hackernoon

405

Image Credit: Hackernoon

Yala Announces RealYield: A Marketplace For Bitcoin-Powered Real-World Asset Yields

Yala is launching RealYield, a marketplace for Bitcoin-powered real-world asset yields.
BTC holders can earn regulated, risk-adjusted yields by investing in various tokenized financial products.
Yala RealYield democratizes investment strategies by providing global, 24/7 access to high-quality real-world asset opportunities.
The platform offers a curated marketplace, customizable yield strategies, seamless Bitcoin integration, compliance-first design, and institutional-grade access.

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Towards Data Science

421

How I Would Learn To Code (If I Could Start Over)

Learning to code is a valuable skill that can lead to higher income and enjoyable work.
The author shares their journey as a data scientist and machine learning engineer for 4 years.
Starting with Fortran in physics undergrad, the author struggled initially but later found passion in coding.
Transitioning to AI and learning Python and SQL opened new career paths for the author.
Choosing a language based on career goals, like Python for AI, is recommended.
Emphasizing hands-on projects over excessive tutorials is advised for faster learning.
Focus on mastering fundamentals like data types, design patterns, and problem-solving skills over chasing trends.
Documenting learning publicly on platforms like GitHub and LinkedIn can enhance career prospects.
AI is seen as a tool rather than a threat to coding professions in the foreseeable future.
Avoiding distraction from shiny new technologies and focusing on consistent learning and skill-building can pave the way for a successful coding career.

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The Robot Report

181

Haply Robotics to offer its haptic controller with PickNik’s MoveItPro

Haply Robotics has partnered with PickNik Robotics to integrate Haply's Inverse3 haptic controller into the MoveIt Pro developer platform.
The partnership aims to provide a more intuitive and responsive way to interact with and teleoperate robotic arms in dynamic environments.
Developers can now generate high-quality training data for robot learning pipelines by using MoveIt Pro and Inverse3. This includes capturing real human motion trajectories, grasp strategies, and corrective behaviors in real-time.
The integration of Inverse3 and MoveIt Pro aims to offer users a more intuitive, responsive, and teachable form of human-robot collaboration, allowing for controlling and training robotic systems.

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Engadget

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Microsoft's latest Copilot updates include a mobile version of the multimodal Vision tool

Microsoft announced updates to its Copilot AI assistant, including a mobile version of the multimodal Vision tool.
Copilot Vision can analyze real-time video and stored photos on a mobile device to provide interactive experiences with the real world.
Microsoft is bringing Copilot Search to Bing, offering a blend of traditional and generative search with summaries, images, and data from publishers.
Copilot Memory aims to provide personalization by capturing and remembering details about users' lives, enabling recommendations and actions based on that information.

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3 Likes

Medium

383

Image Credit: Medium

Python Doesn’t Support True Constants – So I Built “setconstant” to Fix That

Python lacks built-in support for true constants, which can lead to variables being overwritten and unpredictable behavior.
To address this problem, the 'setconstant' Python package was created.
With 'setconstant', developers can declare constants that cannot be changed or overridden.
The package provides a simple and powerful way to define and use constants in Python, improving code stability.

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Towards Data Science

256

Creating an AI Agent to Write Blog Posts with CrewAI

The author shares their journey of starting to write about Data Science and Artificial Intelligence to create a professional image and share knowledge with others.
With a background in Data Science, the author developed an interest in Natural Language Processing and Large Language Models, leading to experimenting with CrewAI to build AI agents.
They explain the concept of a crew of AI agents working together towards a common goal, such as producing a blog post on a given topic.
The crew includes agents like Writer Stylist, Planner, Writer, and Editor, each tasked with specific roles in the blog post creation process.
By using CrewAI, the process of setting up agents and tasks is simplified through YAML configuration files and Python code.
Agents are defined with roles, goals, and backstories, while tasks are defined with descriptions and expected outputs.
The Crew Base class is used to specify where agents and tasks configuration files are located for the project.
The workflow involves configuring agents, tasks, and the crew process and then running the crew to generate the blog post content.
The author provides code examples for setting up agents, tasks, crews, and running the project, emphasizing the sequential process flow.
The result is a blog post created by an AI agent, showcasing the potential of using AI for automated content generation.

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12 Likes

Medium

392

Image Credit: Medium

How to Use Continuations in Racket

Continuations in Racket allow a program to pause and resume execution by capturing the current point of control flow.
In Racket, a continuation captures the current state of the program and provides a way to return to that state later.
call/cc in Racket captures a continuation, allowing the program to resume where it left off when the continuation is invoked.
Continuations work like bookmarks in code, enabling you to return to a specific point in the program's execution.
A captured continuation is a function that, when called, resumes the program from the saved point where call/cc was invoked.
Continuations can be reused multiple times and provide flexibility in managing program flow.
Continuations can be used for early exits, pausing and resuming computations, and escaping from nested structures.
They are useful for implementing generators, backtracking, and custom control structures in Racket.
Using call/cc, you can create retry mechanisms, exit loops, and handle backtracking scenarios efficiently.
Continuations in Racket offer a powerful way to manipulate program flow and solve complex problems with unique control structures.

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