Haseeb Kamal

Haseeb Kamal

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🎉 JobSweeperAI is Now Live! 🚀

Head over to https://app.jobsweeperai.com and experience the future of job hunting. 🔍 How it works: 1) Create Customized Searches: Tailor your job search to fit your unique preferences and skills. 2) Daily Job Matches: Stay ahead with fresh, daily updates on the latest job opportunities. 3) AI-Powered Cover

I am launching a (micro)-SaaS

I am launching a (micro)-SaaS

Join the mailing list and we'll let you know when we launch! https://jobsweeperai.com/ Super excited to announce that I am launching a (micro)-SaaS. I am not a fan of the job finding process. ❌ It is tedious with many different job boards and sites. ❌ It takes

Basic Data Structures in Python Part 2: Dictionaries and Sets

Basic Data Structures in Python

Basic Data Structures in Python Part 2: Dictionaries and Sets

Welcome to part 2 of the series on basic data structures in Python. This video is targeted towards beginners and shows the most common/useful operations on Dictionaries and Sets. More to follow stay tuned! Please consider subscribing and liking if you found it useful! Video here:

Basic Data Structures in Python: Part 1

Basic Data Structures in Python: Part 1

It's back to the code editor for this one as I go through basic data structures in Python, namely Lists and Tuples. This video is targeted towards beginners and shows the most common/useful operations on Lists and Tuples. More to follow stay tuned! Please consider subscribing and

AWS ECS Deployment Made Easy: Step-by-Step Tutorial with Load Balancer

AWS ECS Deployment Made Easy: Step-by-Step Tutorial with Load Balancer

In this video, I build upon the last video and go through a practical step-by-step tutorial on how to deploy a serverless Python FastAPI app on AWS ECS. I also show how to attach a load balancer to the setup. Enjoy! And make sure to subscribe for more!

Surviving The Age of AI - Featuring ChatGPT

Surviving The Age of AI - Featuring ChatGPT

How did we reach this point and how do we cope? Video version now available: ChatGPT requires no introduction at this point. The chat model has taken the world by storm and it seems to be able to do everything from writing enchanting poetry to writing usable code. Based on

An Introduction to AWS Elastic Container Service (ECS)

An Introduction to AWS Elastic Container Service (ECS)

Elastic Container Service (ECS) is a powerful serverless compute option on AWS. It allows us to deploy, run and manage clusters of containers in a serverless fashion in the AWS cloud. But what is serverless, what is Docker & containerisation and why is all this needed? The video also provides

YouTube channel launch!

YouTube Featured

YouTube channel launch!

🎉🎥 I'm super excited to announce the launch of my YouTube channel! 🎥🎉 I have always been passionate about content creation. It started with this blog a year ago. But since then, I have realized that people prefer video content over text. And with new AI tools on the horizon,

What are load balancers and why use them? A system design perspective.

What are load balancers and why use them? A system design perspective.

Improve application scalability, performance and availability with load balancers. Illustrations included! Load balancing is a system design concept that refers to distributing a set of tasks evenly across multiple servers. Why use load balancers? Imagine a server with a public ip address hosting a website. The server receives requests from

A Guide to Loose Coupling and Writing Better Python Code With Dependency Inversion

A Guide to Loose Coupling and Writing Better Python Code With Dependency Inversion

Dive into the popular design pattern This post is part 5 of a series on the SOLID [https://en.wikipedia.org/wiki/SOLID]principles. You can find post 4 here [https://haseebkamal.com/the-interface-segregation-principle-explained-in-python/] , post 3 here [https://haseebkamal.com/the-liskov-substitution-principle-explained-in-python/] , post 2 here [https://haseebkamal.com/the-open-closed-principle-explained-with-a-python-example/] and post

The Interface Segregation Principle (ISP) Explained in Python.

The Interface Segregation Principle (ISP) Explained in Python.

A look at interfaces and how to write clean and maintainable code with SOLID principle 4/5. This post is part 4 of a series on the SOLID [https://en.wikipedia.org/wiki/SOLID]principles. You can find post 3 here [https://haseebkamal.com/the-liskov-substitution-principle-explained-in-python/] , post 2 here [https://haseebkamal.

The Liskov Substitution Principle (LSP) Explained in Python.

The Liskov Substitution Principle (LSP) Explained in Python.

Towards robust software with SOLID principle 3/5. This post is part 3 of a series on the SOLID [https://en.wikipedia.org/wiki/SOLID]principles. You can find the second post here [https://haseebkamal.com/the-open-closed-principle-explained-with-a-python-example/] . Before we delve into the reasoning of this principle and how it fits

The Open-Closed principle explained in Python.

The Open-Closed principle explained in Python.

Towards better programming with SOLID principle 2/5. This post is part 2 of a series on the SOLID [https://en.wikipedia.org/wiki/SOLID]principles. You can find the first post here [https://haseebkamal.com/the-single-responsibility-principle-in-software-engineering/] . The nature of software is that it is ever changing. Software is never

The Single Responsibility Principle Explained in Python.

The Single Responsibility Principle Explained in Python.

High cohesion, low coupling and the hallmarks of quality software with SOLID. In this post we will be looking at the first of the SOLID [https://en.wikipedia.org/wiki/SOLID]principles. SOLID is an acronym for five software design principles that help make software robust and maintainable. Understanding and

How To Setup Remote WSL for Hassle-Free Development on Windows.

How To Setup Remote WSL for Hassle-Free Development on Windows.

No Linux no problem. Learn how to develop in Linux directly from Windows! In one of my previous posts [https://haseebkamal.com/make-your-code-2x-faster-with-this-simple-python-library/] I demonstrated the use of a Python framework called Celery. The tutorial relied on using a special kind of database service called Redis. However Redis is not

I refuse to use GitHub Copilot. Coding is fun. Copilot makes it boring and destroys my passion.

I refuse to use GitHub Copilot. Coding is fun. Copilot makes it boring and destroys my passion.

Yes, I am more productive and pump out code faster. But at what cost? GitHub Copilot requires no introduction at this point. It writes code. Simple as that. We software developers, coders and programmers also write code. I have taken Copilot for a spin and have been quite surprised by

Speed Up Your Python Code With 100% Thread Utilization Using This Simple Library.

Speed Up Your Python Code With 100% Thread Utilization Using This Simple Library.

Amazing single-threaded performance with FastAPI — optimize your code for a HUGE performance boost! Python has many web frameworks the most popular being Django and Flask. I am most familiar with Flask myself and used it extensively to build hobby projects and improve my programming skills. However, as with all things

Towards Robust and Error-Free Python Code With Pydantic

Towards Robust and Error-Free Python Code With Pydantic

Finally! Python autocomplete that actually works (like in C# and Java) and type hinting support. Python is a dynamically typed language which means that type checking is performed at run-time (when executed). If there is an error in the code it will be thrown at execution. Languages such as Java,

Replace Python Lists and Make Your Code Orders of Magnitude Faster!

Replace Python Lists and Make Your Code Orders of Magnitude Faster!

No fancy libraries and no complicated engineering, just one data structure - hash tables. Every beginner programmer loves for-loops because of their utility and how easy they are to understand. Similarly, everyone loves arrays. However more often than not, we start using arrays for everything without giving it a second

Make your code 2x faster with this simple Python library.

Make your code 2x faster with this simple Python library.

Celery is an asynchronous task queue framework written in Python. Celery makes it easy to execute background tasks but also provides tools for parallel execution and task coordination. In the last post we touched upon basic principles of the Celery framework for Python. You can check the last post here

Slow HTTP response times? Celery to the rescue!

Slow HTTP response times? Celery to the rescue!

In an increasingly data-driven world, it is important for software engineers to build applications that are responsive and fast. As our software needs become more complex, our computing requirements also escalate. At the same time users expect responsive and snappy performance from applications they interact with on a daily basis.