Advanced Scalable Python Web Development Using Flask

Advanced Scalable Python Web Development Using Flask, available at $54.99, has an average rating of 3.75, with 76 lectures, 4 quizzes, based on 182 reviews, and has 2872 subscribers.

You will learn about You will learn advanced concepts for Flask web development including Blueprints You will be introduced to MongoDB and the concepts of NoSQL databases You will learn strategies for scaling applications to millions of reads and writes per second You will learn to use Amazon Web Services like S3 and SES through the Boto library This course is ideal for individuals who are Programmers and developers with basic Python knowledge who want to expand their skills or Application architects who want to understand better how to scale their applications or Software developers who want to understand how to build API applications or Startup CTOs who want to understand better best practices for application development or Computer Science Students who want to get exposed to real life concepts It is particularly useful for Programmers and developers with basic Python knowledge who want to expand their skills or Application architects who want to understand better how to scale their applications or Software developers who want to understand how to build API applications or Startup CTOs who want to understand better best practices for application development or Computer Science Students who want to get exposed to real life concepts.

Enroll now: Advanced Scalable Python Web Development Using Flask

Summary

Title: Advanced Scalable Python Web Development Using Flask

Price: $54.99

Average Rating: 3.75

Number of Lectures: 76

Number of Quizzes: 4

Number of Published Lectures: 76

Number of Published Quizzes: 4

Number of Curriculum Items: 80

Number of Published Curriculum Objects: 80

Original Price: $39.99

Quality Status: approved

Status: Live

What You Will Learn

You will learn advanced concepts for Flask web development including Blueprints

You will be introduced to MongoDB and the concepts of NoSQL databases

You will learn strategies for scaling applications to millions of reads and writes per second

You will learn to use Amazon Web Services like S3 and SES through the Boto library

Who Should Attend

Programmers and developers with basic Python knowledge who want to expand their skills

Application architects who want to understand better how to scale their applications

Software developers who want to understand how to build API applications

Startup CTOs who want to understand better best practices for application development

Computer Science Students who want to get exposed to real life concepts

Target Audiences

Programmers and developers with basic Python knowledge who want to expand their skills

Application architects who want to understand better how to scale their applications

Software developers who want to understand how to build API applications

Startup CTOs who want to understand better best practices for application development

Computer Science Students who want to get exposed to real life concepts

This course will teach you some of the advanced development concepts used in the top tech companies today. How do I know this? Because I’ve been leading tech teams in both large enterprise as well as startup companies in New York City for the past 15 years.

Thousands of students have completed my “Professional Python Web Development Using Flask”?Udemy Course, which introduced them to the basic concepts of Python and?Flask and this course builds on top of that knowledge and takes you to the next step in web application architecture design.

The course goes through?the?process of building a social web application using Python Flaskand the most popular document store database in the market: MongoDB. We will go over modeling best practices, how to build efficient indexes and how to interact with it using the popular MongoEngine ORM.

Step-by-step we will go over the user registration, login and management, the relationship model for users to become friends, and a scalable news feed system using the same architectural design that Twitter and other popular social applications have been using to handle massive amounts of user data.

Additionally we will setup and use Amazon’s AWS cloud infrastructure for this social application, and you will learn how to manage thousands of images using Amazon S3 and best-of-class email distribution using Amazon SES.

At the end of the course students will be challenged with a final project where all the course material will need to be used to complete it. Students that finish the final project will be eligible for special future promotions.

If you already know the basics of Python and Flask and you are interested in advancing your knowledge, this course will go over some of the advanced concepts of web application development, architecture design, database modeling and leveraging cloud infrastructure services.

The course is divided in 7?sections:

Introduction

Fundamental Concepts

MongoDB and Flask Blueprints

The User Module and an Introduction to AWS

The Relationship Module

The Feed Module

Final Project

The course has more than 13?hours of video tutorials as well as the source code at the end of each lesson, so that you can see exactly what the whole project looks like in each stage.

The course can take anywhere from 10 days to a month to complete based on how much material the student completes daily.

Additionally we’re constantly updating the course, adding contents thanks to the feedback of our students.

Join this course and continue your path to becoming a professional Python backend web developer!

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction

Chapter 2: Your Local Dev Environment

Lecture 1: An Update About C9

Lecture 2: Mac Local Dev Environment with Homebrew

Lecture 3: Setting up MongoDB with Homebrew

Lecture 4: Windows Local Dev Environment with Chocolatey

Chapter 3: MongoDB and Flask Blueprints

Lecture 1: Introduction to MongoDB

Lecture 2: Setting up MongoDB on Cloud9

Lecture 3: Playing with MongoDB

Lecture 4: The Basic Factory Structure

Lecture 5: Introduction to Blueprints

Chapter 4: The User Module and an Introduction to AWS

Lecture 1: Creating the User Model

Lecture 2: Adding Indexes

Lecture 3: The User Register Form

Lecture 4: User Registration

Lecture 5: Setting Up Unit Testing

Lecture 6: User Registration Unit Testing

Lecture 7: User Login

Lecture 8: User Login Testing

Lecture 9: Navbar and Starting User Profile

Lecture 10: User Profile

Lecture 11: Check Username Format with Regular Expressions

Lecture 12: Edit Profile Form and Model

Lecture 13: Edit Profile Views and Templates

Lecture 14: Edit Profile Tests

Lecture 15: introduction to AWS SES

Lecture 16: Implementing Email Templates

Lecture 17: Increasing Sending Limits in AWS SES

Lecture 18: User Registration Email Confirmation Code

Lecture 19: Confirmation Code Functionality

Lecture 20: Confirmation Code Testing

Lecture 21: Forgot and Reset Password

Lecture 22: Forgot and Reset Password Form Work

Lecture 23: Forgot and Reset Password Views

Lecture 24: Reset Password Tests

Lecture 25: Change Password

Lecture 26: Change Password Tests

Lecture 27: Image Uploading Setup

Lecture 28: The Imaging Library

Lecture 29: The Edit Form and Template for Image

Lecture 30: The Edit View for Imaging

Lecture 31: Setting up Amazon S3

Chapter 5: The Relationship Module

Lecture 1: Starting the Relationship App

Lecture 2: Playing with the Relationship Model

Lecture 3: Get Relationship Helper

Lecture 4: The Relationship Frontend

Lecture 5: Relationship Views

Lecture 6: More Work on Relationship Views

Lecture 7: Complete Relationship Frontend

Lecture 8: Relationship Tests

Lecture 9: Relationship Tests Part 2

Lecture 10: Adding a Profile Image

Lecture 11: The Friends Sidebar

Lecture 12: The Friends Page

Lecture 13: Reusable Follow Button

Lecture 14: Relationship Emails

Chapter 6: The Feed Module

Lecture 1: Introduction to the Fan Out pattern

Lecture 2: The Feed Model

Lecture 3: Adding the Feed Form to Profile View

Lecture 4: Feed Views

Lecture 5: Feed Process Message

Lecture 6: Feed Message Template

Lecture 7: Messages in Profile Views

Lecture 8: The Feed Home

Lecture 9: Feed Images – Model, Form, Views

Lecture 10: Feed images – Resizing, Templates

Lecture 11: Feed Timestamp – Milliseconds

Lecture 12: Feed Comments – Model and Views

Lecture 13: Feed Comments – Templates

Lecture 14: Comment Cleanup – Adding Likes

Lecture 15: Only See Friends Posts

Lecture 16: Dont Distribute to Blocked Users

Lecture 17: Feed Tests – Part 1

Lecture 18: Feed Tests – Part 2

Lecture 19: The New Homepage

Chapter 7: Final Project

Lecture 1: Final Project

Chapter 8: Bonus Section

Lecture 1: Course Promo

Instructors

Jorge Escobar
Technologist, entrepreneur and open source fanatic

Rating Distribution

1 stars: 10 votes

2 stars: 11 votes

3 stars: 21 votes

4 stars: 60 votes

5 stars: 80 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!