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Our guide explains the use of ChatGPT in programming. Know how to leverage ChatGPT for code completion, bug fixes, refactoring code and code reviews. By Aravind Aby.

The software development industry is in a perpetual state of evolution, and staying abreast with it often necessitates embracing innovative tools, techniques, and technologies. An example of this evolution is GitHub Copilot, a powerful AI-powered code assistant that has been making waves in the developer community.

Further in the article:

• Understanding ChatGPT-4 in the context of programming
• Using ChatGPT-4 to autocomplete your code
• Debugging with ChatGPT-4
• Refactor code with ChatGPT-4
• Leveraging GPT-4 for code reviews
• Embracing GPT-4: Powerful assistant in the world of programming

ChatGPT is a powerful, fascinating tool that might change how we approach software development, but it’s not a silver bullet. Just like any tool, it’s only as good as the person (or data) wielding it. AI’s role in software development is increasing, and it’s exciting to think about the potential of tools like ChatGPT. Good read!

Ansible Tower, a product of Red Hat, is a powerful automation tool that simplifies complex tasks. It provides a user-friendly dashboard, role-based access control, job scheduling, and graphical inventory management. This guide aims to delve into the intricacies of Ansible Tower, discussing its functionality, administration, and unique features.

The article then deals with:

• What is Ansible Tower?
• Features of Ansible Tower
• Ansible Tower basics
• Working with Ansible Tower’s user interface
• Top Ansible commands to know
• Best practices for Ansible Tower
• Real-world applications of Ansible Tower

When you first open Ansible Tower, you’ll be greeted by its user-friendly interface. It’s designed to make your life easier. You’ll see a visual dashboard right in front of you. This is your command center. It’s where you’ll get a quick overview of all your automation tasks. You can see what’s happening, when it’s happening, and even who’s making it happen. It’s like having a bird’s eye view of your entire IT operations. Good read!

As digitalization becomes a norm, businesses are transitioning to cloud services for increased scalability, cost-effectiveness, and operational efficiency. But this transformation comes with a new challenge — securing the cloud. By Tinsae Erkailo.

Cloud security is inherently complex due to a variety of factors. There is diversity among cloud services, such as IaaS, PaaS, and SaaS, and each comes with its own set of security considerations. Coupled with this, the shared responsibility model demands both the cloud service provider and the user to take part in securing the cloud, which often leads to ambiguity in roles and responsibilities.

The article then explains how to secure your cloud environment in 3 key steps:

• Gain visibility
• Understand your security posture
• Monitor the runtime of your workloads

Cloud security is a journey, not a destination. From gaining visibility into your cloud assets to understanding your security posture and monitoring your workload’s runtime, the process requires a comprehensive, integrated security strategy. It’s also essential to remember that securing your cloud isn’t a one-time task but a continuous process, necessitating regular reevaluation and updating of security measures. Good read!

For the seasoned Python developer, the notion of performance optimization is a familiar landscape—fraught with challenges yet abundant with opportunities for innovation. While churning out Python code that ‘works’ is easy, crafting code that performs optimally is an art. By Maria Chojnowska.

The article then pays attention to:

• Python code profiling: The key to identifying performance bottlenecks
  • cProfile: A standard for performance profiling
  • Py-Spy: Sampling profiler for great insights
• Optimizing memory management in Python: Generators and garbage collection
  • Generators: Memory efficiency in iterables
  • Garbage collection: Manual control
• How to optimize Python loops: Unrolling and vectorization
  • Loop unrolling
  • Vectorization with NumPy
• Python concurrency: Threading and asynchronous programming for performance
  • Threading with “concurrent.futures”
  • Asynchronous programming with “asyncio”
• Leveraging GPU acceleration and machine learning for Python performance optimization
  • GPU acceleration with CuPy
  • Machine learning with TensorFlow

Performance optimization in Python is a rich and rewarding field, laden with opportunities for innovation. Profiling, memory management, loop optimization, parallelism, and leveraging specialized hardware are not just techniques but necessities for anyone serious about Python performance. Good read!

In monolithic architectures, as applications grow in complexity, it may become increasingly difficult to maintain scalability, promote team collaboration, and ensure technology diversity. By nearform.com.

In this guide you will find info on:

• What is micro frontend architecture?
• What is module federation?
  • Module federation with Webpack
  • Shared dependencies
  • Shared API
  • Federated types
  • Federated tests
• Dedicated frameworks for MFE composition
• Other approaches

By fostering independent deployment, facilitating maintenance and upgrades, and isolating failures, micro frontends provide a solution that promotes modularity, agility, and adaptability in the rapidly evolving landscape of web development. Nice one!

Your workspace shouldn’t wear you down every day, but that’s what uncomfortable chairs, messy desks, and poor lighting do—even if you don’t notice it. With a few adjustments, however, you can improve your working environment and keep your desk from destroying you, one aching limb at a time. By Melanie Pinola.

The article then discusses an ergonomic desk setup including:

• Lighting
• Plants
• Temperature
• Ergonomic chair
• Desk height
• Monitor height
• The best desk layout for productivity

There’s no one-size-fits-all solution to setting up your desk or surroundings. Your workspace should be specific to you. It’s where you do your life’s work (or at least the work that helps pay the bills). It should support both your well-being and how you work best. Use the above tips to help you find your optimal desk setup, so you can have productive work days—and enough energy to have a life after work, too. Nice one!

Frontend architecture is a collection of tools and processes that aims to improve the quality of code while creating a more efficient and sustainable workflow. In this blog, we will delve into it, covering its types, benefits, best practices, and everything of utmost value. By Hiren Dhaduk.

Many organizations like Airbnb struggle to figure out how to design a frontend that serves millions of users with a seamless experience. Rethink your frontend architecture that functions flawlessly into different devices, environments and makes an effortless user interaction. This article foceses on:

• What is frontend architecture?
• Why do you need a frontend architecture?
• Benefits of frontend architecture
• Best practices of frontend architecture
• How to re-evaluate your frontend architecture?

A good architecture design is a building block of any frontend architecture. Redesigning of frontend architecture for code reusability, better maintainability, and standard principles speed up adding functionalities in applications later. End-users benefit from more accessible, handier apps and can enjoy faster upgrades with the latest features.

The advancement of computing power over recent decades has led to an explosion of digital data, from traffic cameras monitoring commuter habits to smart refrigerators revealing how and when the average family eats. Both computer scientists and business leaders have taken note of the potential of the data. The information can deepen our understanding of how our world works—and help create better and “smarter” products. By IBM Data and AI Team.

Machine learning (ML) is a powerful tool that can be used to solve a wide range of problems. However, ML development and deployment can be a complex and challenging process. MLOps is a set of practices that combines ML with DevOps to streamline the ML development and deployment process.

The article explains:

• What is MLOps?
• Origins of the MLOps process
• How machine learning development works
• Steps in the MLOps process
• How generative AI is evolving MLOps
• MLOps use cases
• MLOps vs. DevOps
• MLOps vs. AIOps

One of the key benefits of MLOps is that it can help to reduce the time it takes to deploy ML models. This is because MLOps automates many of the tasks involved in the ML development and deployment process, such as model training, testing, and deployment. Good read!

Cloud computing has become an essential tool for startups, providing them with the flexibility, scalability, and affordability they need to grow and innovate rapidly. By dataconomy.com.

Here are a few ways that cloud technologies can help startups succeed:

• Reduce upfront costs: Cloud computing eliminates the need for startups to invest in expensive hardware and software upfront. This can free up precious resources that can be used to grow the business
• Increase scalability: Cloud computing allows startups to easily scale their infrastructure up or down as needed. This is essential for startups that are experiencing rapid growth
• Improve agility: Cloud computing gives startups the agility they need to quickly deploy new products and services, and to experiment with new technologies
• Boost productivity: Cloud computing can help startups to boost productivity by providing them with access to a wide range of pre-built services and tools. This can free up startups to focus on their core business

Overall, cloud technologies can be a valuable asset for startups. By leveraging cloud technologies, startups can reduce costs, improve scalability, and boost productivity. Nice read!

Frameworks have grown substantially over the last decade, with some of them serving as game-changers. A common question that every project manager or any other project leader has before initiating the project is, “What technology must I deal with next?” By Shanika Wickramasinghe.

Both Angular and Vue are powerful JavaScript frameworks that can be used to build a wide variety of web applications. The best framework for you will depend on your specific needs and requirements.

In this article you will find information on:

• What is Angular?
• What is Vue?
• Main features of Angular
• Main features of Vue
• Angular vs Vue: Similarities and common features
• Angular vs Vue: Which one is better?
• Drawbacks of Angular vs Vue

If you are working on a large and complex application where performance and scalability are important, then Angular is a good choice. Angular offers a comprehensive set of features and a large community of users and developers. If you are working on a small or medium-sized application where ease of use and flexibility are important, then Vue is a good choice. Vue is lightweight and easy to learn, and it offers a core set of features that can be extended with plugins. Ultimately, the best way to decide which framework is right for you is to try both of them out and see which one you prefer. Nice one!