Scalable Web Applications with Python, Flask, and SQLAlchemy

Scalable Web Applications with Python, Flask, and SQLAlchemy, available at $54.99, has an average rating of 4.26, with 61 lectures, based on 884 reviews, and has 6424 subscribers.

You will learn about Build fully functional scalable and secure Web-Applications using the Flask Framework Learn to use various Flask extensions such as Blueprints, Bootstrap, WTForms, Bcrypt etc. Add a PostgreSQL database to your Python Web Applications and use SQLAlchemy ORM to Query Data Deploy your application to Heroku Master GitHub Basics Learn how to use Amazon S3 Have Fun Building Dynamic Web Applications While you learn This course is ideal for individuals who are Those who has basic knowledge of python and want building dynamic web-apps using Flask Micro-framework It is particularly useful for Those who has basic knowledge of python and want building dynamic web-apps using Flask Micro-framework.

Enroll now: Scalable Web Applications with Python, Flask, and SQLAlchemy

Summary

Title: Scalable Web Applications with Python, Flask, and SQLAlchemy

Price: $54.99

Average Rating: 4.26

Number of Lectures: 61

Number of Published Lectures: 61

Number of Curriculum Items: 61

Number of Published Curriculum Objects: 61

Original Price: $19.99

Quality Status: approved

Status: Live

What You Will Learn

Build fully functional scalable and secure Web-Applications using the Flask Framework

Learn to use various Flask extensions such as Blueprints, Bootstrap, WTForms, Bcrypt etc.

Add a PostgreSQL database to your Python Web Applications and use SQLAlchemy ORM to Query Data

Deploy your application to Heroku

Master GitHub Basics

Learn how to use Amazon S3

Have Fun Building Dynamic Web Applications While you learn

Who Should Attend

Those who has basic knowledge of python and want building dynamic web-apps using Flask Micro-framework

Target Audiences

Those who has basic knowledge of python and want building dynamic web-apps using Flask Micro-framework

Flaskis a very popular Micro Framework for building dynamic Web Applications using Python.?This course is meant for beginners to intermediate level programmers who wish to take their Python programming skills to the next level

Basic knowledge in Python,?HTML?and CSS are?pre-requsites for this course. Some understanding Object Orient Concepts and databases will help, but not mandatory?

This course is well-rounded and covers most aspects involved in building scalable Web?Applications using Flask Framework such as Flask?Blueprints, WTForms, Security, adding a robust database layer to your application that supports CRUD operations (Create, Update, Read, Delete Database Records). You’ll also learn how to use?Amazon S3 to store?data and reference them in your projects

As we progress through the course, we?will build a Online-Book-Catalog that relies on a?PostgreSQL Database?and allows users to register, login, logout and perform CRUD operations. We will save our code to GitHub, design and style the Application using Flask?Bootstrap,? use?SQLAlchemy ORM?to query data and finally deploy it to the web-hosting platform Heroku

Considering the practical problems involved in learning these complex and vast frameworks, I used some?intuitive animations to show you?exactly?how the control flows from python code to the database util to the point the requested information is finally display in a web-browser

Course Curriculum

Chapter 1: The Basics

Lecture 1: Why Web Development is So Complicated

Lecture 2: why flask and prerequisites

Lecture 3: virtual environments

Lecture 4: installing Pycharm on mac

Lecture 5: working with pycharm

Lecture 6: python classes and basic flask application

Lecture 7: http get requests

Lecture 8: http post requests

Chapter 2: routing in flask

Lecture 1: understanding query strings

Lecture 2: numbers and floats

Lecture 3: rendering html templates

Chapter 3: jinja2 templating

Lecture 1: jinja part 1

Lecture 2: jinja part 2

Lecture 3: the url_for method

Lecture 4: jinja part 4 – filters

Lecture 5: jinja part 5 – macros

Chapter 4: working with databases

Lecture 1: installing PostgreSQL on mac

Lecture 2: installing PostgreSQL on windows

Lecture 3: setting up the PostgreSQL database

Lecture 4: creating tables

Chapter 5: performing CRUD operations

Lecture 1: inserting records

Lecture 2: establishing relationships

Lecture 3: querying data part 1

Lecture 4: querying data part 2

Lecture 5: updating and deleting records

Chapter 6: working with git and github

Lecture 1: installing git on windows

Lecture 2: installing git on mac

Lecture 3: git commands part 1

Lecture 4: git commands part 2

Chapter 7: understanding contexts in flask

Lecture 1: flask context variables part 1

Lecture 2: flask context variables part 2

Chapter 8: scalable architecture

Lecture 1: scaling applications 1

Lecture 2: scaling applications 2

Lecture 3: scaling applications 3

Lecture 4: scaling applications 4

Chapter 9: database models

Lecture 1: models part 1

Lecture 2: models part 2 – displaying data in a browser

Lecture 3: models part 3 – displaying data in a browser

Chapter 10: Integrating twitter Bootstrap with flask

Lecture 1: improve design using flask-bootstrap

Chapter 11: working with forms

Lecture 1: a simple form

Lecture 2: basic user registration form and CSRF

Lecture 3: flask login and password hashing using bcrypt

Lecture 4: creating users in the database

Lecture 5: adding data validation to the registration process

Lecture 6: capturing user credentials using forms part 1

Lecture 7: capturing user credentials using forms part 2

Lecture 8: writing custom validations

Lecture 9: login manager and usermixin classes

Lecture 10: letting users login

Lecture 11: display login status

Lecture 12: logging users out

Lecture 13: current user

Chapter 12: performing CRUD operations using forms

Lecture 1: delete database records

Lecture 2: update database records using forms

Lecture 3: inserting database records using forms

Chapter 13: error handling in flask

Lecture 1: 404, page not found

Chapter 14: deploying flask applications to heroku

Lecture 1: preparing the app for deployment

Lecture 2: uploading the app to github

Lecture 3: defining the environment variables and deploying the app to heroku

Lecture 4: restoring PostgreSQL database into heroku using Amazon S3

Lecture 5: conclusion

Instructors

Hara Gopal
Programmer and Teacher

Rating Distribution

1 stars: 12 votes

2 stars: 18 votes

3 stars: 108 votes

4 stars: 339 votes

5 stars: 407 votes

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