REST (Representational State Transfer) APIs have become a cornerstone in modern software development, enabling seamless communication between different systems. For those new to the field, understanding REST APIs is essential as it forms the foundation for integrating various services and building scalable applications. The blog post “Rest API Tutorial — A Complete Beginner’s Guide” from Moesif provides an excellent introduction to this topic. Here, I will summarize the content of the blog, explain why I selected this resource, and reflect on what I learned from it.

Summary of the Blog Post

The Moesif blog post starts by explaining what an API (Application Programming Interface) is and introduces REST as an architectural style for designing networked applications. It highlights that RESTful APIs are stateless, meaning each request from a client to a server must contain all the information the server needs to fulfill it. The post further discusses key concepts such as HTTP methods (GET, POST, PUT, DELETE), status codes, and the importance of endpoints in API structure.

The guide provides practical examples to illustrate these concepts, making it easier for beginners to grasp. It also touches on best practices, such as the use of proper status codes to indicate request outcomes and keeping URLs clean and intuitive. The post ends by emphasizing the importance of good documentation and consistent API versioning to ensure ease of use and maintainability.

Why I Selected This Resource

I chose this particular blog post because of its comprehensive yet beginner-friendly approach. As a computer science student, I am currently learning about software architecture and development practices. This guide stood out for its clarity in explaining complex concepts and its practical examples, which help bridge the gap between theory and real-world application. I wanted to understand REST APIs better, not just from a theoretical standpoint but in a way that I could apply in future projects, making this resource ideal.

Reflections on the Content

Reading through the blog post was eye-opening. It clarified the purpose and usage of REST APIs and reinforced my understanding of HTTP methods and status codes. The emphasis on statelessness and how each request must be self-sufficient was particularly insightful, as I previously struggled with this concept. Additionally, I learned the significance of designing intuitive endpoints and properly using status codes to indicate different outcomes, such as 200 for success or 404 for not found.

This resource has given me the confidence to start building simple RESTful APIs. I now appreciate why good API documentation and versioning are critical — they help developers maintain and scale services effectively. Moving forward, I intend to apply this knowledge in my coursework and future software projects, ensuring that the APIs I develop are well-structured, easy to use, and maintainable.

Conclusion

Overall, the “Rest API Tutorial — A Complete Beginner’s Guide” was a valuable resource that provided me with a solid foundation in RESTful API development. I highly recommend it to any beginner looking to understand how APIs work and how to implement them in practical projects. For those interested, you can read the full post here.

From the blog Discoveries in CS world by mgl1990 and used with permission of the author. All other rights reserved by the author.

This week, while exploring some articles, I found one that really caught my attention: Happy Patel’s article titled, “Why Python Is So Popular Even Though It’s Super Slow.” Patel’s post dives into Python’s popularity in the programming world, even though it’s known for being slower than other languages. After a quick look into Patel’s background, I found that he’s a knowledgeable voice in tech, sharing insights into why developers choose Python despite its limitations. His article offers a well rounded look at the unique benefits of Python, such as its simplicity, versatility, and productivity, which contribute to its wide usage in various fields like web development, data science, and automation.

Patel kicks things off by breaking down why Python is generally considered “slow.” For instance, he mentions that Python’s code is interpreted rather than compiled, which can make it lag behind other languages in execution speed. Another reason for this lag is Python’s Global Interpreter Lock (GIL), which only allows one thread to execute at a time within a process. Although these details may seem like drawbacks, Patel points out that these traits also make Python flexible and user-friendly. Its high level syntax closely mirrors human thought, allowing developers to think more about problem-solving than strict coding rules. Patel sums it up well by explaining that Python essentially lets computers handle the heavy lifting, letting humans focus on creative coding.

Then, Patel goes on to highlight the reasons for Python’s enduring popularity, despite the speed limitations. One key factor he points out is that Python’s simplicity and readability make it incredibly productive. Development cycles are often much shorter, which can be a huge plus for companies where employee time is one of the most valuable resources. He argues that for many businesses, development speed and efficiency matter more than code execution speed. Patel also emphasizes that Python’s scaling capabilities, like horizontal scaling, let developers manage performance limitations, making Python adaptable for many real-world applications.

I chose this article because it not only aligns with our course material but also sheds light on Python’s “personality” in the coding world. I liked Patel’s casual and practical tone it’s informative without being overly technical. His points gave me a new perspective on how Python’s user-friendliness outweighs its slower speed, especially in environments where development time is critical. Patel’s discussion encouraged me to think about how Python’s design might be useful in my own coding projects, as it shows how the language’s efficiency and adaptability make it great for rapid prototyping.

Reading this article reinforced why Python is considered beginner friendly and why its productivity makes it so popular across industries. I’m excited to apply what I’ve learned, especially Python’s fast development approach, in future projects where flexibility and quick prototyping will be valuable. Patel’s article makes a strong case for why Python is more than just “slow” it’s practical, versatile, and adaptable, which are all reasons I’d recommend Python to anyone entering the programming field.

Link to the post: https://medium.com/@innvonixtechsolutions/why-python-is-so-popular-even-though-its-super-slow-cedfa2b8fe68

From the blog CS@Worcester – Harley Philippe's Tech Journal by Harley Philippe and used with permission of the author. All other rights reserved by the author.

This week I decided to write about the pattern called “Retreat into Competence”. This pattern discusses the common occurrence of feeling out of your depth and what you should do about it. In the past couple of months,  I have been confronted with the depths of my lack of knowledge and realized just how overwhelming it can be. It is for this reason that I chose to read about the suggested solutions for this pattern.

The solution provided for this issue is to retreat into your knowledge to regain composure and then “then launch forward like a stone from a catapult”. This method will allow you to realize how far you’ve come and recognize what you are capable of. You need to overcome your fear of incompetence to grow. I agree with the statement that “sometimes you need to take one step back in order to take two steps forward” and how it is important to focus on moving forward as quickly as possible. It took me some time to reflect on this solution but I think this is because if you don’t force yourself to focus on moving forward you can get stuck by being too comfortable. 

For the most part, I agree with the text. It is definitely a risky solution because it is important that you recognize that it is only a temporary fix. You need to be honest with yourself and have discipline to stick to a time limit as suggested in the last paragraph. Although this is a good solution for certain situations and/or certain types of people, sometimes I think you just need to throw yourself into learning the new material. In the recent projects I worked on where I realized the extent of my ignorance, I decided to dive right into some resources to help me learn. I was working with tight deadlines and had to learn as much as I could to be a useful team member. Regardless of this fact, the core of this section gets one thing right, to do anything you must first tackle your fear of incompetence and inadequacy. Although my first solution is to dive into new material, I may come across a situation where it will be more helpful to take 2 steps back. This solution was definitely interesting to read about because it is very different from my usual approach.

From the blog CS@Worcester – Live Laugh Code by Shamarah Ramirez and used with permission of the author. All other rights reserved by the author.

The ‘sweeping the floor’ pattern in chapter four pertains directly to the beginnings of an apprenticeship or just work in software in general. This pattern explains that when you first begin the process of working in software while you will not be nearly as knowledgeable or efficient as the other members of your team with more experience you will still be able to contribute in smaller or more simple ways in order to still provide assistance and work with your team as you learn how to do more technical tasks. This strategy can be applied in every field as when you start your career or even when you start a part time job in high school you first have to be taught how to do certain tasks in the correct way but while you learn how to do the more complicated tasks correctly you will still be able to put effort into making tasks easier for others who are already able to do the more complicated tasks that come with your job.

This pattern stood out to me as I believe that this is especially important to remember when you are entering any job or looking to start your career after college as the thought of ‘not knowing’ how to do the more technical tasks can be daunting for people at times as they see it as a massive obstacle you must overcome when in reality you are not expected to be able to do every task that more experienced team members are able to do. You are expected to contribute in any way you can to help your team work and provide insight while also remembering to continuously learn along the way in order to enable yourself to do these tasks in the future so that one day you are the ‘more experienced team member’ that someone looks to for guidance. Advice like this is important for college graduates that are just starting their careers as in most cases our first jobs will be learning experiences that we need to embrace and make the best of in order to further our understanding of both the field and our colleagues. 

From the blog CS@Worcester – Dylan Brown Computer Science by dylanbrowncs and used with permission of the author. All other rights reserved by the author.