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🔥 My Project-Based Flask Roadmap
🪶 A Note Before We Begin
As I mentioned earlier, this is how I study.
I go through the basic syntax quickly and then move straight into building projects.
When I try to understand code, I take a top-down approach — breaking things apart from the overall structure down to each individual line.
Of course, many people prefer learning step by step, starting with syntax and theory — and that’s perfectly fine.
In fact, that’s how most education is structured.
But for me, understanding the whole architecture first makes it easier to grasp even a single line of code inside it.
Completing each project gives me a strong sense of progress and helps me gradually define my own identity as a developer.
I also believe that programming is a language.
When we first learn a language, we don’t start with grammar — we start by recognizing words, and then we learn how those words come together to form sentences.
That idea inspired me:
“Let’s understand code one sentence at a time — through conversation, through projects.”
I don’t know if my way of learning can help others who are still searching for their own direction,
but if it does, I hope this can be a small path we can walk together.
It won’t be easy — but let’s keep learning, step by step, and do our best together. 💪
📅 LEVEL 1 Mini Projects (Getting the Basics)
- 📝 Mini Blog — Create posts and display them in a list
- 🧮 Web Calculator — Build a simple calculator using Flask UI
- 🗒️ Simple Memo App — Create and Read basic notes (C + R)
Goal: Learn the fundamentals of routing, templates, and database connections.
📅 LEVEL 2 Projects (Building Core Features)
- 🔐 Login / Logout / Signup system
- 🔗 REST API server
- 🌦️ External API integration (Weather, Exchange Rate, or News)
Goal: Understand authentication, session handling, JSON, and business logic flow.
📅 LEVEL 3 Projects (Building Real-World Apps)
- ✅ Todo Pro Basic
- 💰 Expense Tracker Basic
- 📆 Habit Tracker Basic
Goal: Practice full project structure, database modeling, and template organization.
📅 LEVEL 4 Projects (Production-Level)
- 🚀 Todo Pro — Full Version
- 📊 CSV Upload → Data Analysis → Visualization
- 📰 Blog CMS — With admin panel
Goal: Apply Flask Blueprints, service layers, and architecture design with UI/UX integration.
Through these projects, I want to challenge myself to build, debug, and design real applications — not just follow tutorials. I’ll document every step here so others can learn and build along with me. Let’s learn by building — together. ⚡
Top comments (3)
Really like how you structured your Flask roadmap, Sabin! 🚀
I’m planning to start learning Flask soon, so I bookmarked this, the way you break things down through projects is super helpful.
By the way, did you recently start learning Flask?
How’s the learning curve for you?
Is it difficult at the beginning or does it get easier once you start building things?
Curious to hear your experience before I dive in. 😊
Thanks @shahrouzlogs always for the great comments and questions. As you mentioned, it's certainly difficult at first. Let me explain this purely from my own experience.
People might feel it's too complicated because of the question, "Why does putting these things here make it work like this?" I've always considered programming to be part of language, in a broad sense, a way to converse with a computer. So, initially, instead of focusing on every single line of code, I focused on the larger blocks, and as I repeated these experiences, the individual, word-like pieces of code inside finally started to make sense.
To add to that, I often follow along with the code written by AI and try to grasp the structure based on those code chunks. Then, I personally modify the information within the code piece by piece, thinking, 'Ah, this part is connected to that code.' Essentially, I'm playing around with the code.
Also, my personal belief is that quality inevitably improves when quantity is repeated. Simply put, I believe that the quality of my knowledge also sees a vertical leap as I work on many projects.
It's an honor to receive a question like this from someone as dedicated as you. Thanks to your question, I had a chance to reflect on my own thought process again. Thank you!
That’s really interesting, I didn’t expect that, so you’re also using AI as part of your learning process. Honestly, that was reassuring to read.
I’m using a very similar approach myself. I rely on AI tools quite a bit, but never as a copy-paste shortcut. I usually use ChatGPT or other coding-focused AIs to explore patterns and possible implementations. When I want to go deeper into why a certain block exists or why a line is written a specific way, I often turn to Gemini. In my experience, it’s especially helpful for breaking down reasoning and making implicit structure more explicit.
I don’t have a human mentor, so AI has naturally become part of my learning loop. That said, learning this way isn’t always smooth. AI can be helpful, but it’s not consistently reliable. Even with carefully written prompts, I’ve run into explanations that don’t fully hold up, or code that works in isolation but falls apart in a real context. That friction has been an important part of the process for me.
Because of that, I tend to learn by actively pulling things apart. I open the code, remove sections, tweak values, disconnect pieces, and then watch things break 😂
When bugs show up, I’m forced to trace relationships and understand how different parts depend on each other. Over time, this has helped me build a much clearer mental map of how the system actually works.
I also strongly relate to the idea that progress comes from repetition. Working through multiple projects has helped me recognize patterns faster and feel less lost when facing new problems. Each project adds a bit more context, even when the result isn’t polished.
That’s why your description resonates with me. Project-based learning, repetition, and hands-on modification have been central to how I’m approaching things. And I agree that at some point, the shift has to happen from experimenting freely to making more deliberate design and architectural choices.
Overall, it feels like we’re navigating a very similar learning space. Different tools, maybe different paths, but a shared focus on building, questioning, and learning through iteration rather than passive consumption.
Also, thank you for the kind words. It honestly means a lot. And thanks for taking the time to explain your process. Reading perspectives like this helps clarify my own approach and where I want to take it next. ✨