توسعه وب Flask با پایتون: ساخت برنامه‌های وب پایتون با تمرین‌ها و مثال‌ها

Python is one of the most versatile high-level programming languages ever developed. Rather than having to jump into strict syntax rules, Python reads like English and is simple to understand for someone new to programming. This allows you to obtain a basic knowledge of coding practices without having to obsess over smaller details that are often important in other languages.Here what you'll learn after downloading this book:✓Todo list app using Flask✓Single Page Portfolio Using Flask✓Profile Application using Python Flask and MySQL✓Wikipedia search app using Flask Framework✓Twitter Sentiment Analysis WebApp Using Flask✓Create Cricket Score API using Web Scraping in Flask✓Add Graphs to Flask apps✓Create Scatter Charts in Matplotlib using FlaskAnd more...This Book Is Perfect For:- Total beginners with zero programming experience- Returning professionals who haven’t written code in years- Seasoned professionals looking for a fast, simple, crash course in Python About the Authors Table of Contents Flask Web Development with Python Chapter 1: Todo list app using Flask Chapter 2: Single Page Portfolio Using Flask Requirements Stepwise Implementation Chapter 3: Profile Application using Python Flask and MySQL Profile Application using Flask Working with MySQL Workbench Creating Project Run the Project Testing of the Application Chapter 4: Wikipedia search app using Flask Framework How to create wikipedia search app using Flask Framework? Chapter 5: Twitter Sentiment Analysis WebApp Using Flask Purpose: Tools and Technologies Used in the Project: Required Skillset to Build the Project: Implement the Project: The main.py file: The Login template: The Registration template: The HomePage Template: The PieChart Generation template: Detailed project Implementation guidelines: Project Application in Real-Life: Chapter 6: Create Cricket Score API using Web Scraping in Flask Setting up the App Directory Getting the Data Creating the API Understanding Jsonify Deploying API on Heroku Chapter 7: Add Graphs to Flask apps Add Graphs to Flask using JavaScript Chart.js Library Add Graphs to Flask using Bokeh Chapter 8: Create Scatter Charts in Matplotlib using Flask Create and Save the Plot in the Static Directory Generating a Base64 I/O String of the Plot