From the beginning, Building Web Applications with Flask shows you how to utilize Flask's concepts, extensions, and components to create engaging, full-featured web projects. You'll learn how to properly handle forms using WTForms, devise convenient templates with Jinja2 tags and macros, use NoSQL and SQL databases to store user data, test your projects with features and unit tests, create powerful authentication and user authorization, as well as administrative interfaces with ease, and more.
As Flask does not enforce an architectural recipe, neither do we! This book makes no coding assumptions on how you should code, leaving you free to experiment.
Italo Maia is a full-stack developer with 10 years of experience in creating software for the mobile, Web, and desktop environments, having dedicated most of the last few years to development with Python and web technologies. Author of Flask-Empty, a popular skeleton for Flask projects that aggregates good practices and recipes for quick prototyping, he is active in the Brazilian Python communities, having open source tools and libraries available in GitHub and Bitbucket.
Rather than impose development guidelines as other frameworks do, Flask leaves the business of extensions up to you. If you have Python experience, this book shows you how to take advantage of that creative freedom.Learn Flask’s basic application structure and write an example appWork with must-have components—templates, databases, web forms, and email supportUse packages and modules to structure a large application that scalesImplement user authentication, roles, and profilesBuild a blogging feature by reusing templates, paginating item lists, and working with rich textUse a Flask-based RESTful API to expose app functionality to smartphones, tablets, and other third-party clientsLearn how to run unit tests and enhance application performanceExplore options for deploying your web app to a production server
Written by Wes McKinney, the creator of the Python pandas project, this book is a practical, modern introduction to data science tools in Python. It’s ideal for analysts new to Python and for Python programmers new to data science and scientific computing. Data files and related material are available on GitHub.Use the IPython shell and Jupyter notebook for exploratory computingLearn basic and advanced features in NumPy (Numerical Python)Get started with data analysis tools in the pandas libraryUse flexible tools to load, clean, transform, merge, and reshape dataCreate informative visualizations with matplotlibApply the pandas groupby facility to slice, dice, and summarize datasetsAnalyze and manipulate regular and irregular time series dataLearn how to solve real-world data analysis problems with thorough, detailed examples
If you are a Flask user who knows the basics of the library and how to create basic web pages with HTML and CSS, and you want to take your applications to the next level, this is the book for you. Harnessing the full power of Flask will allow you to create complex web applications with ease.What You Will LearnSet up a best practices Python environmentUse SQLAlchemy to programmatically query a databaseDevelop templates in JinjaSet up an MVC environment for FlaskDiscover NoSQL, when to use it, when not to, and how to use itDevelop a custom Flask extensionUse Celery to create asynchronous tasksIn Detail
Flask is a library that allows programmers to create web applications in Python. Flask is a micro-framework that boasts a low learning curve, a large community, and the power to create complex web apps. However, Flask is easy to learn but difficult to master.
Starting from a simple Flask app, this book will walk through advanced topics while providing practical examples of the lessons learned. After building a simple Flask app, a proper app structure is demonstrated by transforming the app to use a Model-View-Controller (MVC) architecture. With a scalable structure in hand, the next chapters use Flask extensions to provide extra functionality to the app, including user login and registration, NoSQL querying, a REST API, an admin interface, and more. Next, you'll discover how to use unit testing to take the guesswork away from making sure the code is performing as it should. The book closes with a discussion of the different platforms that are available to deploy a Flask app on, the pros and cons of each one, and how to deploy on each one.Style and approach
With plenty of useful examples, this guide introduces new concepts and then shows you how those concepts can be used in a real-world environment. Most sections are based around a single example app that is developed throughout the book.