Building CLI with FastAPI and Typer

FastAPI with Typer: Building Powerful CLI Applications In the world of software development, command-line interfaces (CLIs) remain incredibly useful tools. They offer a direct way to interact with programs, automate tasks, and streamline workflows. From simple scripts to complex applications, CLIs are essential for developers of all levels. However, building robust and user-friendly CLIs can sometimes be a challenge. This is where FastAPI and Typer come into play, providing a powerful and efficient combination for creating amazing CLI applications in Python....

FastAPI with Pydantic: Building Robust APIs with Validation & Serialization In the dynamic world of web development, APIs have become the backbone of modern applications. They enable seamless communication between different software components, allowing for the exchange of data and functionality. When it comes to building APIs with Python, FastAPI has emerged as a top choice, known for its speed, ease of use, and robust features. At the heart of FastAPI's power lies Pydantic, a data validation and settings management library....

Tkinter Tutorial: Building a GUI for a Simple Expense Tracker Managing finances can be a daunting task, but having a clear overview of your income and expenses can significantly improve your financial well-being. Imagine having a simple, user-friendly tool that allows you to track your spending habits, categorize your transactions, and visualize your financial data. In this tutorial, we'll build exactly that: a simple expense tracker using Tkinter, Python's built-in GUI library....

Claude Opus 4.6 offers incredible power, but managing API costs can become challenging without proper oversight. To address this, I developed a tool: the Claude Token Optimizer. This zero-dependency Python CLI provides full visibility and control over your Claude API usage before sending any requests. Here’s what it offers: - Estimate: Count tokens and receive a cost breakdown with a live context-window bar. - Compress: Remove verbose phrases, comments, and whitespace to reduce token count by 15–30%. - Chunk: Divide large files into context-safe pieces with configurable overlap. - Analyze: Scan an entire project directory to see exactly where your tokens are allocated. - Context: Efficiently pack the maximum number of files into a single prompt. - Diff: Compare two prompts side-by-side to confirm that compression was effective. - Gitcost: Estimate the cost of sending a git diff to Claude for code review. - Prompt: Generate token-efficient system prompts for code review, debugging, test generation, and more. - Session: Track cumulative spending across multiple API calls with budget alerts. This tool has no external dependencies and supports Python 3.10+. It accommodates all Claude Opus 4.6 pricing tiers, including batch, fast mode, cache read/write, and the US-only multiplier. I initially built this for my own workflow and have decided to open source it. GitHub: https://lnkd.in/gP3hcc9K If you’re working with the Claude API, I would appreciate your feedback. Feel free to drop a comment or give it a star if you find it useful. #AI #LLM #OpenSource #Python #DeveloperTools

Merdoc.dev now features enhanced runnable code blocks that support # Deno-style imports from libraries via a URL. This means you can execute powerful blocks of code within in your documentation. This could support API working examples, QA assertions, data reporting (e.g., Jupyter Notebooks), or other creative ideas you come up with! Coming next, I'll add support for additional languages beyond JavaScript/TypeScript and Python (which are already supported). And I want to introduce shared context across multiple code blocks in the same document. That means you could define a variable or function at the top of the document and then use it in a code block further down. Or that the results rendered in the first example can be looped through in another block. I'll also add "Run All" so you can execute all of them synchronously with one click. Play around with it yourself at https://merdoc.dev

Unlock the secrets of safe code extension! 🚀 Dive into our comparison of Microsoft D365 F&O's Chain of Command in X++ and Python's extensibility patterns. Discover best practices for maintainable code and avoid pitfalls in your development journey. Read more: https://lnkd.in/gjvqtHD6 #DataEngineering #SoftwareDevelopment #X++ #Python

Day 57 of #90DaysOfCode Today I built an interactive web application using Flask where users can guess a randomly generated number directly through the browser. The server generates a random number between 0 and 9 when it starts. Users attempt to guess the number by entering their guess in the URL, and the application responds with feedback indicating whether the guess is too high, too low, or correct. How the application works • Generates a random number using Python • Displays a prompt on the homepage asking the user to guess • Captures the user's guess using dynamic Flask routing • Compares the guess with the generated number • Returns visual feedback with different messages and images Key concepts explored • Building web applications using Flask • Dynamic routing using URL parameters • Handling user input through route variables • Returning HTML responses from Flask routes This project helped reinforce how backend frameworks process requests and return dynamic responses based on application logic. GitHub Repository https://lnkd.in/gUc57VJQ #Python #Flask #BackendDevelopment #WebDevelopment #SoftwareEngineering #90DaysOfCode

Tkinter Tutorial: Building a GUI for a Simple Interactive Markdown Previewer In the world of software development, creating user-friendly interfaces is paramount. Whether you're building complex applications or simple utilities, a well-designed GUI (Graphical User Interface) can significantly enhance the user experience. Tkinter, Python's built-in GUI library, offers a straightforward and efficient way to create such interfaces. This tutorial will guide you through building a simple, yet functional, Markdown previewer using Tkinter....

Tkinter Tutorial: Building a Simple GUI for a Basic Text Editor In the world of software development, the ability to create user-friendly and functional graphical user interfaces (GUIs) is a highly valuable skill. GUIs provide a more intuitive way for users to interact with applications, making them easier to use and more accessible. Tkinter, Python's built-in GUI library, offers a straightforward way to build these interfaces. This tutorial will guide you through the process of creating a basic text editor using Tkinter, equipping you with the fundamental knowledge and practical experience to develop your own GUI applications....