This is my “OG.” It’s my favorite Python tool, and what I always come back to when I need a simple web server fast to serve up a simple API. It features no bells or whistles (no database abstraction layer, form validations, or mail support) but does have a large set of exten...
For programmers who want to increase productivity and delivery a high-quality product in the shortest amount of time, here are the top 10 Chrome extensions web developers need to install: Lighthouse. JSONView. Awesome Screen Recorder. EditThisCookie. Test IE. Lorem Ipsum Generator. Octotree. Wind...
Such tools make data tasks much easier and contain a plethora of functions, extensions, and methods to manage and analyze data. Each of these libraries has a particular focus—some on managing image and textual data, and others on data mining, neural networks, and data visualization. The best...
Extensions –Adding distinct functionalities like authentication, DB interactions, and caching using third-party Flask extensions is simple. Benefits of Flask Flask is a beginner-friendly Python framework, mainly when you compare it with Django. Indeed, it uses limited lines of code and has a lean ...
Flask is celebrated for its simplicity and minimalism. It provides the essentials for web development without imposing any specific choices on developers. Flask is an excellent choice for small to medium-sized projects, offering flexibility, ease of use, and a wide range of extensions that can be...
Flaskis a micro web framework built with Python. It’s ‘micro’ because it does not have any database abstraction layer, form validations, or mail support. Fortunately, it has a large set of extensions that you can plug and play with, and it’s perfect if all you want to do is serv...
Python - Further Extensions Python - Tools/Utilities Python - GUIs Python Advanced Concepts Python - Abstract Base Classes Python - Custom Exceptions Python - Higher Order Functions Python - Object Internals Python - Memory Management Python - Metaclasses ...
and Jupyter Notebook, ideal for data science and interactive computing. Each IDE has its strengths: PyCharm excels in advanced code analysis, VS Code in flexibility and extensions, and Jupyter in scientific computing. Consider your project requirements, workflow, and personal comfort when choosing ...
Because of its focus on building APIs, Hug is strictly limited to input/output handling, routing, and type annotations. However, it supports provision for adding extensions. One of Hug’s cool features is its ability to expose an API logic via CLI, HTTP, or a local function, thus offering...
R and Python extensions for advanced modeling capabilities Options for scheduling jobs and configurations Handles both unstructured and structured data Smart chart recommendations for better data visualization Geospatial advanced analytics (e.g., latitude, longitude, postal codes) Pricing IBM SPSS Modeler ...