Building Full Stack Python Web Apps Backed By Google Sheets
Published 9/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 5.18 GB | Duration: 12h 1m

Develop and deploy a full-stack application using Python, Google Sheets, FastAPI, React, Next.js, and Tailwind CSS

[b]What you'll learn[/b]

Build a universal Python JSON API that connects to a virtually infinite number of Google Sheets

Gain terrific, hands-on practice building and deploying full stack Python applications

Enable authentication with JSON Web Tokens (JWT) and protect routes and operations

Build and deploy a modern user interface with React, Next JS, and Tailwind CSS

Practice using Google Sheets as application databases for Python APIs

Explore the Google Sheets and Drive APIs from the ground up in Python

[b]Requirements[/b]

A computer (Windows/Mac/Linux). That's all!

Some experience with python would be a plus, but is not required.

No prior experience with web development is required.

[b]Description[/b]

Welcome to the best resource online for learning full-stack Python web development with Google Sheets. This course offers a truly unique learning experience on Udemy. While there are hundreds of online Python courses to choose from, very few get you building real-world applications that have actual utility from the ground up. By the end of this course you will have deployed a universal Python web API that could connect to a virtually infinite number of workbooks. Functionally, this will be quite similar to several SAAS (software-as-a-service) businesses that you find on the web, services that offer JSON APIs on top of Google Sheets - obviously for a price. In this course, you will develop a Python application that does just that! Except we will write every line of code together and in the end deploy the application to the web for free! We are going to do this step-by-step, starting with the very basics of setting up service accounts to enable the sheets and drive APIs, then moving on to the implementation of operations like creating and managing worksheets, reading, writing, and appending data, automating common tasks, managing updates, and a lot more. The course features four in-depth sections that guide you from the basics of python all the way to writing and deploying fully functional modern APIs and user interfaces. In the first section you will:Uncover the power of Google Sheets as a flexible, cloud-based database alternativeUnderstand the details of authentication using service accountsSet up a professional development environment with virtual environmentsLearn to programmatically create, read, update, and delete Google Sheets through PythonDiscover the secret weapon of API developers: the Discovery DocumentThen, we'll dive head-first into python to:Craft a robust API using FastAPI, the most modern and lightweight Python web frameworkDesign elegant object-oriented abstractions for Google Sheets interactionsImplement industry-standard authentication with JSON Web Tokens (JWT)Master advanced data handling techniques for asymmetric and dynamic dataBuild a full CRUD (Create, Read, Update, Delete) API for Google SheetsDive deep into error handling and security best practicesLearn deployment strategies to take your API from local to globalFinally, we'll switch gears to user interface (UI) design and development. You will:Jumpstart your journey into the world of React and Next.jsDesign highly responsive, modern UIs with Tailwind CSSImplement authentication flows Build a functional e-commerce storefront from scratchMaster state management for complex user interactionsDeploy your polished web application to the worldAnd if you're new to python, don't worry! There is a full-length python primer included in the course that will get you up to speed in no time. This is included as an appendix to the course and covers all the basics of python programming. It is designed to be a quick reference for those who are new to python or need a refresher on the basics. By the end of this course, you will have: Built a production-ready API that interfaces with Google Sheets Mastered the full stack: from database to API to user interface Gained real-world experience in Python, FastAPI, React, and Next.js Developed and deployed a portfolio-worthy project to showcase your new skillsI'm excited to have you on board. Let's get started!

Overview

Section 1: Python vs Worksheets

Lecture 1 Welcome!

Lecture 2 My Other Work

Section 2: Introduction To The Google Sheets API

Lecture 3 High-Level Concepts

Lecture 4 Credentials And Service Account

Lecture 5 Virtual Environment And Dependencies

Lecture 6 Setting Up The Sheets Service

Lecture 7 Inserting Values Into Existing Sheet

Lecture 8 Programmatically Creating New Sheets

Lecture 9 Managing Permissions Through The Drive API

Lecture 10 The Discovery Document

Section 3: Building The Python API Layer

Lecture 11 Section Resources + All The Code Files

Lecture 12 Setup And Dependencies

Lecture 13 Scaffolding The API

Lecture 14 Defining A Sheets Abstraction

Lecture 15 Service Account Credentials

Lecture 16 Injecting Dependencies In FastAPI

Lecture 17 Creating A New Sheet

Lecture 18 Permissioning A Specific User Or Anyone

Lecture 19 Pydantic Models

Lecture 20 Swagger UI API Documentation

Lecture 21 API Routers

Lecture 22 Rename Spreadsheet Operation

Lecture 23 Adding The Route Handler

Lecture 24 Deleting Spreadsheets

Lecture 25 Extra: Centralizing Exception Handling

Lecture 26 The Worksheets API Router

Lecture 27 Navigating Between Sheet Names And Ids

Lecture 28 Renaming A Worksheet

Lecture 29 Reading Worksheet Data And Returning JSON

Lecture 30 Writing Data To A Worksheet

Lecture 31 Handling Rows With Asymmetric Dimensions

Lecture 32 Appending Records With New Dimensions

Lecture 33 Handling Multiple New Columns Correctly

Lecture 34 Implementing Auto-Incrementing Ids

Lecture 35 Adding New Worksheets

Lecture 36 Clearing All Worksheet Content

Lecture 37 Deleting A Worksheet

Lecture 38 Introducing Environment Variables

Lecture 39 Creating Expirable JSON Web Tokens

Lecture 40 Implementing The /token Endpoint

Lecture 41 Adding Some Missing Dependencies

Lecture 42 Authentication And JWTs

Lecture 43 Defining An Auth Dependency

Lecture 44 Protecting Routes With Token-Based Authentication

Lecture 45 Finishing Touches

Lecture 46 Relaxing The CORS Policy

Lecture 47 Deployment Checklist

Lecture 48 Locking Dependencies And Config

Lecture 49 Git And .gitignore

Lecture 50 GitHub Remote Repository

Lecture 51 Deploying To The World Wide Web

Section 4: Creating User Interfaces With React And Next.js

Lecture 52 Section Resources + All The Code Files

Lecture 53 The Big Picture

Lecture 54 JavaScript, Node, React, And Next.js

Lecture 55 Setting Up A New Project

Lecture 56 Running The App

Lecture 57 Our First Component

Lecture 58 Controlling Components With JavaScript

Lecture 59 Styling Interfaces With Tailwind CSS

Lecture 60 Obtaining the JWT From The Backend

Lecture 61 Adding Interactivity To The Form

Lecture 62 Next.js Environment Variables

Lecture 63 Client-side Accessible Env Variables

Lecture 64 Conditionally Rendering On Successful Login

Lecture 65 Passing Down Props To Other Components

Lecture 66 Creating A New Workbook For Our Online Store

Lecture 67 Seeding Our Inventory

Lecture 68 Fetching Inventory Data Via The API

Lecture 69 Rendering Products

Lecture 70 Styling The Products Grid

Lecture 71 Defining A New ProductCard Component

Lecture 72 AddToCart Functionality

Lecture 73 Header With View Cart Button

Lecture 74 Opening And Closing The Cart

Lecture 75 Cart Container

Lecture 76 Displaying Items In The Cart

Lecture 77 Removing Items From The Cart

Lecture 78 Unique Cart Item Ids

Lecture 79 Calculating And Rendering TotalAmount

Lecture 80 Introducing A Checkout Button

Lecture 81 Creating The Orders Worksheet

Lecture 82 HandleCheckout From The UI

Lecture 83 Generating Unique Order Ids

Lecture 84 Updating Cart State On Order Checkout

Lecture 85 Persisting The Authentication Token

Lecture 86 Deploying The User Interface

Lecture 87 Deployed App

Lecture 88 Thank You!

Section 5: Appendix - Python Fundamentals

Lecture 89 A Quick Note + Section Resources

Lecture 90 Data Type

Lecture 91 Variables

Lecture 92 Arithmetic And Augmented Assignment Operators

Lecture 93 Ints And Floats

Lecture 94 Booleans And Comparison Operators

Lecture 95 Strings

Lecture 96 Methods

Lecture 97 Containers I: Lists

Lecture 98 Lists vs. Strings

Lecture 99 List Methods And Functions

Lecture 100 Containers II: Tuples

Lecture 101 Containers III: Sets

Lecture 102 Containers IV: Dictionaries

Lecture 103 Dictionary Keys And Values

Lecture 104 Membership Operators

Lecture 105 Controlling Flow: if, else, And elif

Lecture 106 Truth Value Of Non-booleans

Lecture 107 For Loops

Lecture 108 The range() Immutable Sequence

Lecture 109 While Loops

Lecture 110 Break And Continue

Lecture 111 Zipping Iterables

Lecture 112 List Comprehensions

Lecture 113 Defining Functions

Lecture 114 Function Arguments: Positional vs Keyword

Lecture 115 Lambdas

Lecture 116 Importing Modules

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