Top 8 Recommended Flask Self-Study Materials! [September 2023]

Learn HTML 5 with Python From Beginner To Advanced Level, Flask Framework From Beginning,

• we've created thorough, extensive, but easy-to-follow 23 Hours of content that you’ll easily understand and absorb.

  The course starts with the basics of HTML5, Python fundamentals, programming, and user interaction.

  
  

  The curriculum is going to be very hands-on as we walk you from start to finish to become a professional HTML 5, Python developer. We will start from the very beginning by teaching you HTML 5 Basics then Python basics and programming fundamentals, and then going into advanced topics and different career fields in Python so you can get real-life practice and be ready for the real world.

• The topics covered in this course are:

  
  

  * Brief Introduction To HTML 5:

HTML Basic Tags

HTML List Tags

HTML Attributes

HTML Forms

HTML SVG

HTML Blocks

* Beginner to Expert Python contents:

• Array implementation

  File methods

  Keywords and Identifiers

  Python Tuples

  Python Basics

  Python Fundamentals

  Data Structures

  Object-Oriented Programming with Python

  Functional Programming with Python

  Lambdas

  Decorators

  Generators

  Testing in Python

  Debugging

  Error Handling

  Regular Expressions

  Comprehensions

  Modules

*Flask Framework:

Flask Web Framework, In this course, you will learn the fundamentals of web applications .so that you can start building API and develop web applications using Python Flask Web Framework.

• How to build Python web apps with Flask

• How to use the Jinja template language to create the look of your apps

• How to use the SQLite database to start development

• How to use other databases with Flask by using Flask-SQLAlchemy

• Using Flask to process incoming request data.

1. HTML
2. INTRODUCTION TO HTML
3. Tutorial 1-HTML Attributes
4. Tutorial 2-HTML Basic Tags.
5. Tutorial 3-HTML Phrase Tags
6. Tutorial 5- HTML Comments
7. Tutorial 6- HTML Blocks
8. Tutorial 7- HTML Fonts
9. Tutorial 8-HTML SVG.
10. Tutorial 9-HTML Formating Tags
11. Tutorial 10-HTML Forms.
12. Tutorial 11- HTML List Tags
13. Tutorial 12- HTML Tables
14. Tutorial 12- HTML Media Element 1
15. Tutorial 13- HTML Media Element 2
16. PYTHON COMPLETE COURSE
17. Tutorial 1-Installing Anaconda
18. Tutorial 2-Python Overview(demonstration)
19. Tutorial 3-Python Variables And Constants
20. Tutorial 4-Python Class And Objects
21. Tutorial 5 -Python Array Implementation
22. Tutorial 6-Python Keywords And Identifiers
23. Tutorial 7-Python Tuples
24. Tutorial 8-Python sets
25. Tutorial 9-Python Different Modules
26. Tutorial 10-Python Directory And File management.
27. Tutorial 11-Python Dictionary
28. Tutorial 12-Python Strings
29. Tutorial 13-Python Data Type Conversion
30. Tutorial 14-Python Numbers
31. Tutorial 15-Python Namespace and scope
32. Tutorial 16-Python global local nonlocal
33. Tutorial 17-Python Global Keywords
34. Tutorial 18-Python Iterators
35. Tutorial 19-Python Iterations Using for.
36. Tutorial 20-Python Inheritance
37. Tutorial 21-Python Multiple Inheritance
38. Tutorial 22-Python Function Arguments
39. Tutorial 23-Python Functions
40. Tutorial 24-Python break statement.
41. Tutorial 25-Python continue statement.
42. Tutorial 26-Python Errors And Exceptions
43. Tutorial 27-Python Try, Except And Finally
44. Tutorial 28-Python User Defined Exception
45. Tutorial 29-Python OOP Approach
46. Tutorial 30-Python Nested Dictionary Implementation
47. Tutorial 31-Python Operator Overloading
48. Tutorial 32-Python Statements And Comments
49. Tutorial 33-Python Pass Statement.
50. Tutorial 34-Python Generators
51. Tutorial 35-Python Decorators
52. Tutorial 36-Python While Loop.
53. Tutorial 37-Python use of If,elif,else
54. Tutorial 38-Python Matrix Implementation
55. Tutorial 39-Python Regular Expressions
56. Tutorial 40-Python List Comprehension
57. Tutorial 41-Python Recursion.
58. Tutorial 42-Python Input, Output And Import
59. Tutorial 43-Python Shallow And Deep Copy.
60. Tutorial 44-Python Lamda Function
61. Tutorial 45-Python Assert
62. Tutorial 46-Python @property.
63. FLASK FRAMEWORK
64. Tutorial 1-Flask Environment
65. Tutorial 2-Flask Hello World
66. Tutorial 4-Flask Variables Rules
67. Tutorial 5-Flask Framework URL Building
68. Tutorial 6-Flask Framework HTTP Methods.
69. Tutorial 7-Flask Framework Template
70. Tutorial 8- Flask Framework Static Files
71. Tutorial 10-Flask Request From Object.
72. Tutorial 11-Flask Framework Cookies
73. Tutorial 12-Flask Redirect and Errrors(2)
74. Tutorial 13-Flask Message Flashing.
75. Tutorial 14-Flask File Uploading
76. Tutorial 15-Flask Mail Extension.
77. Tutorial 16-Flask WTF Extension
78. Tutorial 17-Flask SQLite Database
79. Tutorial 18-Flask SQL Alchemy

Are you tired of boring, outdated, incomplete, or incorrect tutorials? I say no more to copy-pasting code that you don’t understand.

Welcome to the bestselling REST API course on Udemy! I'm Jose. I'm a software engineer, here to help you truly understand and develop your skills in web and REST API development with Python, Flask, and Docker.

Production-ready REST APIs with Flask

This course will guide you in creating simple, intermediate, and advanced REST APIs including authentication, deployments, databases, and much more.

We'll start with a Python refresher that will take you from the very basics to some of the most advanced features of Python—that's all the Python you need to complete the course.

Using Flask and popular extensions Flask-Smorest, Flask-JWT-Extended, and Flask-SQLAlchemy we will dive right into developing complete, solid, production-ready REST APIs.

We will also look into essential technologies like Git and database migrations with Alembic.

You'll be able to...

• Create resource-based, production-ready REST APIs using Python, Flask, and popular Flask extensions;

• Handle secure user registration and authentication with Flask.

• Using SQLAlchemy and Flask-SQLAlchemy to easily and efficiently store resources to a database; and

• Understand the complex intricacies of deployments of Flask REST APIs.

• Use Docker to simplify running and deploying your REST APIs.

But what is a REST API anyway?

A REST API is an application that accepts data from clients and returns data back. For example, a REST API could accept text data from the client, such as a username and password, and return whether that is a valid user in the database.

When developing REST APIs, our clients are usually web apps or mobile apps. That's in contrast to when we make websites, where the clients are usually the users themselves.

Together we'll develop a REST API that not only allows clients to authenticate but also to store and retrieve any data you want from a database. Learning this will help you develop any REST API that you need for your own projects!

I pride myself on providing excellent support and feedback to every single student. I am always available to guide you and answer your questions.

I'll see you on the inside. Take your first step towards REST API mastery!

1. Welcome!
2. How to take this course
3. Python on Windows
4. Python on Mac
5. A Full Python Refresher
6. Introduction to this section
7. Access the code for this section here
8. Variables in Python
9. Variables (Python 3.10)
10. Solution to coding exercise: Variables
11. String formatting in Python
12. Getting user input
13. Writing our first Python app
14. Lists, tuples, and sets
15. Advanced set operations
16. Lists, tuples, and set (Python 3.10)
17. Solution to coding exercise: Lists, tuples, sets
18. Booleans in Python
19. If statements
20. The 'in' keyword in Python
21. If statements with the 'in' keyword
22. Loops in Python
23. Flow control—loops and ifs (Python 3.10)
24. Solution to coding exercise: Flow control
25. List comprehensions in Python
26. Dictionaries
27. Destructuring variables
28. Functions in Python
29. Function arguments and parameters
30. Default parameter values
31. Functions returning values
32. Functions (Python 3.10)
33. Solution to coding exercise: Functions
34. Lambda functions in Python
35. Dictionary comprehensions
36. Dictionaries and students (Python 3.10)
37. Solution to coding exercise: Dictionaries
38. Unpacking arguments
39. Unpacking keyword arguments
40. Object-Oriented Programming in Python
41. Magic methods: __str__ and __repr__
42. Classes and objects (Python 3.10)
43. Solution to coding exercise: Classes and objects
44. @classmethod and @staticmethod
45. @classmethod and @staticmethod (Python 3.10)
46. Solution to coding exercise: @classmethod and @staticmethod
47. Class inheritance
48. Class composition
49. Type hinting in Python 3.5+
50. Imports in Python
51. Relative imports in Python
52. Errors in Python
53. Custom error classes
54. First-class functions
55. Simple decorators in Python
56. The 'at' syntax for decorators
57. Decorating functions with parameters
58. Decorators with parameters
59. Mutability in Python
60. Mutable default parameters (and why they're a bad idea)
61. Your first REST API
62. Access the course e-book here
63. Overview of the project we'll build
64. Initial set-up for a Flask app
65. Your first REST API endpoint
66. What is JSON?
67. How to interact with and test your REST API
68. How to create stores in our REST API
69. How to create items in each store
70. How to get a specific store and its items
71. Introduction to Docker
72. What are Docker containers and images?
73. How to run a Flask app in a Docker container
74. In-depth Docker tutorial notes
75. Flask-Smorest for more efficient development
76. Data model improvements for our API
77. General improvements to our first REST API
78. New endpoints for our first REST API
79. How to run the API in Docker with automatic reloading and debug mode
80. How to use Blueprints and MethodViews in Flask
81. How to write marshmallow schemas for our API
82. How to perform data validation with marshmallow
83. Decorating responses with Flask-Smorest
84. Store data in a SQL database with SQLAlchemy
85. Overview and why use SQLAlchemy
86. How to code a simple SQLAlchemy model
87. How to write one-to-many relationships using SQLAlchemy
88. How to configure Flask-SQLAlchemy with your Flask app
89. How to insert data into a table using SQLAlchemy
90. How to find models in the database by ID or return a 404
91. How to update models with SQLAlchemy
92. How to retrieve list of all models
93. How to delete models with SQLAlchemy
94. Deleting related models with cascades
95. Conclusion of this section
96. Many-to-many relationships with SQLAlchemy
97. Changes in this section
98. One-to-many relationship between stores and tags
99. Many-to-many relationship between items and tags
100. User authentication with Flask-JWT-Extended
101. Changes in this section
102. What is a JWT?
103. Who uses the JWT?
104. How to set up Flask-JWT-Extended with our app
105. Coding the User model and schema
106. How to add a register endpoint to the REST API
107. How to add a login endpoint to the REST API
108. Protect endpoints by requiring a JWT
109. JWT claims and authorization
110. How to add logout to the REST API
111. Request chaining with Insomnia
112. Token refreshing with Flask-JWT-Extended
113. Database migrations with Alembic and Flask-Migrate
114. Why use database migrations at all?
115. How to add Flask-Migrate to our Flask app
116. Initialize your database with Flask-Migrate
117. Change SQLAlchemy models and generate a migration
118. Manually review and modify database migrations
119. Git Crash Course
120. What are Git repositories and commits?
121. Initialize a Git repository for our project
122. Writing Markdown for documents and commits
123. Remote repositories and how to use them
124. Git branches and merging
125. Merge conflicts and how to resolve them
126. Overview of the final e-book chapters
127. Deployments with Render.com
128. Overview of this section
129. Creating a Render.com web service
130. How to run Flask with gunicorn in Docker
131. Get a deployed PostgreSQL database
132. Use PostgreSQL locally and in production
133. Test the finished production app
134. Task Queues with rq and sending emails
135. How to send emails with Python and Mailgun
136. How to send emails when users register
137. What is a task queue and setting up a Redis database
138. How to Populate and consume the task queue with rq
139. How to process background tasks with the rq worker
140. How to send HTML emails using Mailgun and Python
141. How to deploy a background worker to render.com
142. Bonus Section
143. Bonus lecture

This course is a depth introduction to fundamental python programming concepts.

Learn Python From Beginner To Advanced Level

• I’ve created thorough, extensive, but easy to follow content which you’ll easily understand and absorb.

  The course starts with the basics, including Python fundamentals, programming, and user interaction.

  
  

  The curriculum is going to be very hands-on as we walk you from start to finish becoming a professional Python developer. We will start from the very beginning by teaching you Python basics and programming fundamentals, and then going into advanced topics and different career fields in Python so you can get real-life practice and be ready for the real world.

• The topics covered in this course are:

  * Beginner to Expert Python contents:

  
  

  Array implementation

  File methods

  Keywords and Identifiers

  Python Tuples

  Python Basics

  Python Fundamentals

  Mathematical Functions

  Data Structures

  Object-Oriented Programming with Python

  Functional Programming with Python

  Lambdas

  Decorators

  Generators

  Testing in Python

  Debugging

  Error Handling

  Regular Expressions

  Comprehensions

  Modules

• See you inside the course!

Flask is a popular Python web framework. The tutorials in this section are intermediate to advanced tutorials that cover key aspects of Flask development.

    *Flask Framework:

Flask Web Framework, In this course, you will learn the fundamentals of web applications .so that you can start building API and develop web applications using Python Flask Web Framework.

• How to build Python web apps with Flask

• How to use the Jinja template language to create the look of your apps

• How to use the SQLite database to start development

• How to use other databases with Flask by using Flask-SQLAlchemy

• Using Flask to process incoming request data.

• Course Overview

Flask Framework - URL Building

Flask Framework - HTTP Method

Flask Framework - Templates

Flask Framework - Static Files

Flask Framework - Request Object

Flask - Request.from Object

Flask Framework - Cookies

Flask Framework - Session Object

And More...

1. Python For Beginners
2. Tutorial 1-Python From Command Line
3. Tutorial 2- Python Script From Command Line
4. Tutorial 3- Python Class And Objects
5. Tutorial 4- Python Array Implementation
6. Tutorial 5-IDLE Interactive Shell
7. Tutorial 6-Python Basic Syntax
8. Tutorial 7-Python Keywords.
9. Tutorial 8-python Lines And Indentation
10. Tutorial 9-Python Identifiers
11. Tutorial 10-Python Quotations
12. Tutorial 11-Python Multiline Statements
13. Tutorial 12- Python Command line Argument
14. Tutorial 13-Python Standard Data Types
15. Tutorial 14 -Python Numbers
16. Tutorial 15-Python Mathematical Functions
17. Tutorial 16-Python Random Number Functions
18. Tutorial 17-Python Trigonometric Functions
19. Tutorial 18-Python Mathematical Constants
20. Tutorial 19-Python Trignometric Inverse functions
21. Tutorial 20- Trignometric Misc Functions
22. Tutorial 21-Python Operators
23. Tutorial 22-Python Arithmetic Operators
24. Tutorial 23-Python Bitwise Operators
25. Tutorial 24-Python Logical Operators
26. Tutorial 25-Python Membership Operators
27. Tutorial 26-Python Identity Operators
28. Tutorial 27-Python Operator Precedence
29. Tutorial 28-Python Strings
30. Tutorial 29-Python Basic Operators
31. Tutorial 30-String Formatting Operators
32. Tutorial 31-Python Triple Quotes
33. Tutorial 32-String Encoding Functions
34. Tutorial 33-Python List
35. Tutorial 34-Python Access, Update And Delete.
36. Tutorial 35-Basic List Operations
37. Tutorial 36-Indexing, Slicing & Matrixes
38. Tutorial 37- Python List Methods
39. Tutorial 38-Built in List Functions
40. Tutorial 39-Python Decision Making
41. Tutorial 40-Python If Statement
42. Tutorial 41-Python if else statement
43. Tutorial 42-Python if elif else statement
44. Tutorial 43-Python single statement suites
45. Tutorial 44-Python Loops
46. Tutorial 45-Python While loop
47. Tutorial 46-python Infinite While Loop
48. Tutorial 47-while loop else statement
49. Tutorial 48-While Loop Single Statement Suites.
50. Tutorial 49-Python for loop
51. Tutorial 50-For Loop Using rang() Function
52. Tutorial 51-for loop iterating by sequence index.
53. Tutorial 52-Python Nested loops
54. Tutorial 53-Loop control statement
55. Tutorial 54-Break Statement.
56. Tutorial 55-Continue Statement
57. Tutorial 56-Python Pass Statement
58. Tutorial 57-Using Else with For Loop
59. Tutorial 58-Python Tuple
60. Tutorial 59-Tuple update and delete
61. Tutorial 60-Tuple Basic Operations
62. Tutorial 61-Tuple Indexing and Slicing
63. Tutorial 62-Tuple No Enclosing Delimiters
64. Tutorial 63-Tuple Build-In Function
65. Tutorial 64-Python Dictionary
66. Tutorial 65-Python Update and Delete
67. Tutorial 66-Properties Of Dictionary keys
68. Tutorial 67-Dictionary Functions
69. Tutorial 68-Python Dictionary Methods
70. Tutorial 69-Python Functions
71. Tutorial 70-Parameter Pass by reference
72. Tutorial 71-Python Required Arguments
73. Tutorial 72-Keywords Arguments.
74. Tutorial 73-Default Arguments
75. Tutorial 74-Anonymous Function
76. Tutorial 75-The Return Argument
77. Tutorial 76-Scope of variables.
78. Tutorial 77-Python Module
79. Tutorial 78-Executing Module as Script
80. Tutorial 79-Python Loading Modules
81. Tutorial 80-Namespace And Scoping
82. Tutorial 81- Packages in python
83. FLASK FRAMEWORK
84. Introduction Tutorial 1- Flask Framework Overview
85. Tutorial 2-Flask Framework Environment
86. Tutorial 3-Flask Framework Hello World
87. Tutorial 4-Flask Framework Routing
88. Tutorial 5-Flask Framework Variable rules
89. Tutorial 6-Flask Framework URL Building
90. Tutorial 7-HTTP Method Flask Framework
91. Tutorial 8-Flask Framework Templates
92. Tutorial 9-Flask Framework Static Files
93. Tutorial 10-Flask Framework Request Object
94. Tutorial 11-Flask Framework Request.from Object
95. Tutorial 12-Flask Framework Cookies
96. Tutorial 13-Flask Framework Session Object
97. Tutorial 14-Flask Framework Redirects & Errors
98. Tutorial 15-Flask Framework Message Flashing
99. Tutorial 16-Flask Framework File Uploading
100. Tutorial 17-Flask Framework Extensions
101. Tutorial 18-Flask Framework Mail
102. Tutorial 19-Flask Framework WTF Extension
103. Tutorial 20-Flask Framework SQLite
104. Tutorial 21-Flask Framework SQL Alchemy
105. Tutorial 22-Flask Framework Deployment
106. Bonus Lecture

Learn Python By Demonstrations

• The course is created thorough, extensive, but easy to follow content which you’ll easily understand and absorb.

  The course starts with the basics, including Python fundamentals, programming, and user interaction.

  
  

  The curriculum is going to be very hands-on as we walk you from start to finish becoming a professional Python developer. We will start from the very beginning by teaching you Python basics and programming fundamentals, and then going into advanced topics and different career fields in Python so you can get real-life practice and be ready for the real world.

• The topics covered in this course are:

  * Beginner to Expert Python contents:

  
  

  Installing Anaconda

  Python Overview

  Array implementation

  File methods

  Keywords and Identifiers

  Python Tuples

  Python Basics

  Python Fundamentals

  Data Structures

  Object-Oriented Programming with Python

  Functional Programming with Python

  Lambdas

  Decorators

  Generators

  Testing in Python

  Debugging

  Error Handling

  Regular Expressions

  Comprehensions

  Modules

  Flask Framework - URL Building

  Flask Framework - HTTP Method

  Flask Framework - Templates

  Flask Framework - Static Files

  Flask Framework - Request Object

  Flask - Request.from Object

  Flask Framework - Cookies

  
  

• See you inside the course!

1. PYTHON DEMONSTRATIONS
2. Tutorial 1-Installing Anaconda
3. Tutorial 2-Python Overview(Demonstration)
4. Tutorial 3-Python Variables And Constants
5. Tutorial 4-Python Class And Objects(demonstration)
6. Tutorial 5-Python Array Implementation
7. Tutorial 6-Python Keywords And Identifiers
8. Tutorial 7-Python Tuples
9. Tutorial 8-Python sets
10. Tutorial 9-Python Different Modules
11. Tutorial 10-Python Directory And File management
12. Tutorial 11-Python Dictionary
13. Tutorial 12-Python Strings
14. Tutorial 13-Python Data Type Conversion
15. Tutorial 14 -Python Numbers
16. Tutorial 15-Python Namespace and scope.
17. Tutorial 16-Python global local nonlocal
18. Tutorial 17-Python Global Keywords
19. Tutorial 18-Python Iterators
20. Tutorial 19-Python Iterations Using for
21. Tutorial 20-Python Inheritance
22. Tutorial 21-Python Multiple Inheritance
23. Tutorial 22-Python Function Arguments
24. Tutorial 23-Python Functions
25. Tutorial 24-Python break statement
26. Tutorial 25-Python continue statement
27. Tutorial 26-Python Errors And Exceptions
28. Tutorial 27-Python Try, Except And Finally
29. Tutorial 28-Python User Defined Exception
30. Tutorial 29-Python OOP Approach
31. Tutorial 30-Python Nested Dictionary Implementation.
32. Tutorial 31-Python Operator Overloading
33. Tutorial 32-Python Statements And Comments
34. Tutorial 33-Python Pass Statement
35. Tutorial 34-Python Generators.
36. Tutorial 35-Python Decorators
37. Tutorial 36-Python While Loop
38. Tutorial 37-Python use of If,elif,else
39. Tutorial 38-Python Matrix Implementation
40. Tutorial 39-Python Regular Expressions
41. Tutorial 40-Python List Comprehension
42. Tutorial 41-Python Recursion
43. Tutorial 42-Python Input, Output And Import
44. Tutorial 43-Python Shallow And Deep Copy.
45. Tutorial 44-Python Lamda Function
46. Tutorial 45-Python Assert
47. Tutorial 46-Python @property.
48. FLASK FRAMEWORK DEMONSTRATIONS
49. Tutorial 47-Flask Environment (Demostration)
50. Tutorial 48-Flask Hello World (demonstration)
51. Tutorial 49-Flask Variables Rules
52. Tutorial 50-Flask Framework URL Building
53. Tutorial 51-Flask Framework HTTP Methods.
54. Tutorial 54-Flask Framework Template
55. Tutorial 52-Flask Framework Static Files
56. Tutorial 57-Flask Request From Object
57. Tutorial 55-Flask Framework Cookies
58. Tutorial 53-Flask Framework Redirect And Errors
59. Tutorial 56-Flask Message Flashing
60. Tutorial 59-Flask File Uploading
61. Tutorial 58-Flask Mail Extension
62. Tutorial 61-Flask WTF Extension
63. Tutorial 62-Flask SQLite Database
64. Tutorial 60-Flask SQL Alchemy

Even though low-code and no-code technologies are becoming more and more popular, ambitious projects need a platform or a website that is coded from scratch. This course focuses on building such ambitious projects by giving you the tools that you need to create Facebook-like websites or SaaS services.

This course offers practical solutions to the most challenging problems that you will meet while building a web application. With this course, you will understand why sites like Facebook or Amazon are not build with WordPress. You will understand how you can build a complete platform, connect it to a database and put it to production. This course is broken into 24 chapters that address all the subjects that you need to understand to build a complete web app. You will learn:

- How to launch an "hello world" application

- How to connect your application to your front-end

- The best practices of programming within a team

- How to connect your application to databases (MySQL, PostgreSQL, MongoDB)

- How to send emails and text messages

- How to scale your application

- How to put your application to production with different providers (AWS, Digital Ocean, Planet Hoster, Python Anywhere)

I have gathered in this course everything that I learnt in the last 3 years, wandering around thousands of forums and YouTube videos and debugging during thousands of hours. I have intentionally designed this course so that you can come back any time and find what you need in separate videos and course chapters. This course is part on an ongoing Python’s series including:

- Python for web development (this course)

- Python for web scrapping & advanced automation

- Python for mobile app backends & APIs

1. Introduction & context
2. Introduction
3. Website structure
4. Python refresher course
5. Flask framework for web development
6. Introduction to Flask framework
7. Receiving information from front-end
8. Connecting HTML templates to your back-end
9. Connecting a contact form to your back-end
10. UX, UI & SEO notes
11. Sending emails & text messages
12. Sending emails with a mail instance (Flask needed)
13. Sending emails outside the app context (Flask not needed)
14. Sending text messages with Twilio
15. Connecting to databases
16. Connecting to a database with SQLAlchemy (recommended)
17. Connecting to a MySQL database
18. Connecting to a PostgreSQL database outside the app context (Flask not required)
19. Connecting to a MongoDB database
20. Scaling your Python Flask app
21. App package structure & Blueprints
22. User Authentication & Login
23. Dynamic Python variables within HTML
24. Git, GitHub & Collaboration
25. Putting your Python app to production
26. Theory of production
27. Production on Python Anywhere (uWSGI & nginx pre-installed)
28. Production on Planet Hoster (nginx pre-installed)
29. Production on Digital Ocean (from scratch)
30. Production on AWS
31. Connecting Google Analytics & Facebook Pixel
32. Wrapping up
33. Conclusion
34. Course book & code