Python Mastery: Build Web Apps, Automate Tasks & Explore Ai

Master Python with real-world projects in web development, automation, and AI. Start your coding journey today!

What you'll learn

Master Python Fundamentals: Students will learn the core principles of Python programming, including syntax, variables and more

Implement Data Structures and Algorithms: Gain proficiency in using Python's built-in data structures like lists, tuples, dictionaries

Explore Artificial Intelligence with OpenAI: Understand the basics of artificial intelligence and how to utilize the OpenAI API to integrate AI capabilities

Develop and Deploy Web Applications with Django: Learn how to use the Django framework to create robust web applications.

Requirements

No Prior Programming Experience Required: The course is designed for beginners. We start with Python basics, making it suitable for those with little to no programming experience.

Willingness to Learn: Perhaps the most important requirement is a genuine interest in learning Python and spending time practicing coding outside of the instructional material.

Description

Dive into the world of Python with "The Ultimate Python Bootcamp: Build Web Apps, Automate Tasks & Explore AI" – a comprehensive course designed to take you from Python novice to proficient developer. Whether you're looking to kickstart your programming career, enhance your coding skills, or dive into the fascinating world of artificial intelligence and web development, this course has everything you need to achieve your goals.Course Overview:Starting with the fundamentals, you'll gain a solid understanding of Python syntax, variables, and data types, setting the stage for more complex concepts. By demystifying data structures like lists, tuples, dictionaries, and more, you'll learn to organize and manipulate data efficiently, unlocking Python's full potential to solve real-world problems.But we don't stop at theory! Get hands-on experience with practical exercises that cover:Essential Programming Concepts: Master loops, functions, and object-oriented programming (OOP) to build robust applications. Learn the art of reading and writing files, enabling your programs to handle data seamlessly.Data Generation and Visualization: Discover how to generate data programmatically and bring your data to life with engaging visualizations. Whether for data analysis or to complement your web applications, these skills are invaluable.Consuming Online Data and APIs: Step into the world of web scraping and API consumption. Learn how to integrate external data sources and APIs into your applications, expanding their functionality and making them more dynamic.Plotting Graphs and Exploring AI with OpenAI API: Venture into data science by learning how to plot graphs for data analysis. Then, take a leap into the future by exploring artificial intelligence. Experiment with the OpenAI API to add cutting-edge AI capabilities to your projects.Web Development with Django: Embark on your web development journey with Django, the high-level Python web framework. Build sophisticated, data-driven web applications from the ground up. Learn about models, views, templates, and deploying your web apps to the world.Why Choose This Course?Real-World Projects: Apply what you learn to real-world projects covering web app development, task automation, and AI applications. Build a portfolio that showcases your new coding skills and problem-solving abilities.Comprehensive Curriculum: This course is carefully structured to guide you through each topic, ensuring a clear path from beginner to advanced concepts. No prior programming experience is required. Support: Get your questions answered as soon as possible.Whether you're aspiring to become a web developer, data analyst, AI enthusiast, or simply looking to automate daily tasks, "The Ultimate Python Bootcamp" is your gateway to mastering Python and unlocking a world of technology opportunities. Enroll now and start your journey to becoming a confident, skilled Python developer!

Overview

Section 1: Introduction

Lecture 1 Introduction

Lecture 2 What is Python and Where It's Used

Lecture 3 Python Compilation & Interpretation Process

Section 2: Install Python on Windows and Mac

Lecture 4 Windows Users ONLY: Install Python on Windows

Lecture 5 Mac Users ONLY: Install Python on Mac

Lecture 6 Download and Install VS Code

Lecture 7 Install Python VS Code Extension Pack

Lecture 8 Running our First Python Program in VS Code

Section 3: Download Code

Lecture 9 Download Code

Section 4: Python Variables and Simple Data Types

Lecture 10 Declaring Variables in Python

Lecture 11 Data Types - String

Lecture 12 Python f-Strings

Lecture 13 Numbers - Integers and Floats

Section 5: Introduction to Data Structures in Python - Lists

Lecture 14 Introduction to Lists - Accessing and Modifying Them

Lecture 15 f-Strings & Individual Values from a List

Lecture 16 Sorting a List and Getting a List Length

Section 6: Lists - Loops and Tuples

Lecture 17 Lists and Loops - Looping Through a List

Lecture 18 Making a List of Numbers with Loops and the Range Function

Lecture 19 Statistics Functions for Numbers

Lecture 20 Generate Even Numbers with the List and Range

Lecture 21 Important: Code Organization Note

Lecture 22 List Comprehension

Lecture 23 Tuples

Section 7: Branching - If Statements

Lecture 24 If Statements and Booleans

Lecture 25 The Elif and the in Keywords

Lecture 26 Hands-on - Using AND and OR Logical Operators

Lecture 27 AND OR Logical Operators

Lecture 28 Checking for Inequalities

Lecture 29 Hands-on - Inner If-Statements

Section 8: Data Structure - Dictionaries

Lecture 30 Introduction to Dictionaries - Declaring and Accessing Values

Lecture 31 Modifying a Dictionary

Lecture 32 Iterating Through a Dictionary

Lecture 33 Nested Dictionaries and Looping Through Them

Lecture 34 Looping through a Dictionary with a List Inside

Section 9: User Input and While Loops

Lecture 35 User Input - Introduction

Lecture 36 Hands-on - Odd or Even Number

Lecture 37 While Loops & Simple Quit Program

Lecture 38 Hands-on - Quiz Game

Lecture 39 Removing all Instances of Specific Values from a List

Lecture 40 Hands-on-Dream Travel Itinerary Program - Filling a Dictionary with User Input

Section 10: Functions

Lecture 41 Functions

Lecture 42 Passing Information to a Functions (Parameters)

Lecture 43 Positional and Named Arguments

Lecture 44 Default Values - Parameters

Lecture 45 Return Values from a Function

Lecture 46 Hands-on - Returning an Integer & Intro to Docstring

Lecture 47 Returning a Dictionary from a Function

Lecture 48 Functions - Passing a List as Argument

Lecture 49 Passing an Arbitrary Number of Arguments to a Function

Lecture 50 Introduction to Modules - Importing Specific Functions from a Module

Lecture 51 Using the "as" as an Alias

Section 11: Classes and OOP - Object Oriented Programming

Lecture 52 Introduction to OOP in Python - Creating a Class and Instantiating an Object

Lecture 53 The "init" and "str" Methods

Lecture 54 Adding More Methods to the Class

Lecture 55 Setting a Default Value for an Attribute

Lecture 56 Modifying Class Attribute - Directly and with Methods

Lecture 57 Inheritance - Create an Ebook - Child Class

Lecture 58 Overriding Methods

Lecture 59 Creating and Importing From a Module

Lecture 60 The Object Class - Overview

Lecture 61 The Python Standard Library

Lecture 62 Random Module - Random Fruit Hands-on

Lecture 63 Hands-on - Random Fruit with Choice Module Method

Lecture 64 Using Datetime Module

Section 12: Writing & Reading Files - Do Useful Tasks with Python

Lecture 65 Do Amazing Things with Python

Lecture 66 The Path Class & Reading a Text File

Lecture 67 Resolving Path - Reading From a Subdirectory with Path

Lecture 68 Path Properties Overview

Lecture 69 Writing to text File with Path

Lecture 70 Read and Write to File Using the "with" Keyword

Lecture 71 Handling Exceptions

Lecture 72 The "FileNotFound" and "IndexError" Exception Types

Lecture 73 Custom Exception Creation and Handling

Lecture 74 JSON - Reading and Writing to a JSON File

Lecture 75 Hands-On - Writing and Reading - Countries to JSON File

Section 13: Hands-On - Build a File Organizer Program

Lecture 76 File Organizer Program

Section 14: Python Virtual Environment and PIP

Lecture 77 Virtual Environment in Python - Overview

Lecture 78 Setting up Virtual Environment and Installing a Package

Section 15: Hands-on - Image Watermarker Tool

Lecture 79 Watermarker Python Tool

Lecture 80 Building an Image Watermarker in Python - Part 1

Lecture 81 Generating the Watermarked Images

Section 16: Consuming Online Data - APIs and Online Files and Data sources

Lecture 82 Consuming a JSON API

Lecture 83 GET and POST Methods

Lecture 84 Hands-On - Book Search with the Google Books API - Part 1

Lecture 85 Hands-On - Book Search - Add User Input & Search Term

Lecture 86 Hands-on - Book Search - Showing Book Pagination

Section 17: Plotting Graphs in Python

Lecture 87 Using Matlibplot Library to Plot Data in a Graph

Lecture 88 Adding Labels to Graph and Changing Plot Style

Lecture 89 Changing Graph Style Randomly

Lecture 90 Hands-on - Expense Tracker with Visualization

Lecture 91 Reading a CSV File - Introduction

Lecture 92 Getting the CSV Header Position - Column's Index

Lecture 93 Reading Data From a CSV Column

Lecture 94 Plotting a Graph with CSV Data

Section 18: Python & AI (OpenAI API) & Streamlit - Build a Task Breakdown Tool

Lecture 95 Task Breakdown Demo

Lecture 96 Python and AI - Building AI-based Applications

Lecture 97 Getting the OpenAI API Key

Lecture 98 Setting up OpenAI API Key and Overview

Lecture 99 OpenAI API - ChatCompletion and Prompts - Introduction

Lecture 100 Setting up the Prompt for the Task Breakdown App - Part-1

Lecture 101 Adding User Input - Console-Based Program

Lecture 102 Adding a User Interface with Streamlit Framework

Section 19: Web Development with the Django Framework - Build a Book Tracker Web App

Lecture 103 The Django Framework - Introduction and Overview

Lecture 104 Creating a Django project & Project Files Overview

Lecture 105 Creating a Database and Running Our web App

Lecture 106 Defining Models and Running Migrations

Lecture 107 Setting up a Super User and Registering a Model with the Admin Site

Lecture 108 Defining Models and Running Migrations

Lecture 109 The Django Shell - Looking at Saved Data

Lecture 110 Mapping URLs and Creating a View and Showing on the Browser

Lecture 111 Modifying our Template and Showing Books

Lecture 112 Installing VS Code Extension for Django Templates

Lecture 113 Create a Base Django HTML Template

Lecture 114 The URL Template Tag

Lecture 115 Show All Genres on the Genre Page

Lecture 116 Adding a Genre URL Template Tag to Base HTML

Lecture 117 Showing All Books Related to a Specific Genre

Lecture 118 Updating the Genre Template and Adding URL Navigation to Base HTML

Section 20: Web Development with the Django Framework - Accounts, Adding Books and Genres

Lecture 119 Adding a Form to Add a Genre

Lecture 120 Adding a Form to Enter a new Book

Lecture 121 Editing a Book Entry and Saving the Changes

Lecture 122 Adding User Authentication and Login

Lecture 123 Log Users Out

Lecture 124 Register Users

Section 21: Web Development with the Django Framework - Restricting Access to Pages

Lecture 125 Restricting Access to Pages

Lecture 126 Connecting Data to Specific User

Lecture 127 Deleting a Book - Abrupt Solution

Lecture 128 Deleting a Book The Right Way with a Warning

Section 22: Web Development with the Django Framework - Styling the Web App

Lecture 129 Adding Bootstrap to Our Django Application

Lecture 130 Styling the Index and Login Pages

Lecture 131 Styling the Genres Template

Lecture 132 Finalize Styling All Templates with Bootstrap5

Section 23: Web Development with the Django Framework - Deploying the web App to Heroku

Lecture 133 Setting up Git, Heroku and the Heroku CLI

Lecture 134 Setting up Our Project for Development - Part 1

Lecture 135 Deploying to Heroku - Web App Live!

Section 24: Wrap up

Lecture 136 Next steps

Absolute Beginners in Programming: Individuals with no prior programming experience looking to make their first foray into the world of coding and software development.,Professionals Seeking Career Transition: Those in non-technical fields aspiring to switch careers to tech, particularly in areas like web development, data analysis, automation, and AI.,Hobbyists and Tech Enthusiasts: Individuals passionate about technology, eager to explore the capabilities of Python in automating tasks, analyzing data, or building their own projects and tools.,Software Developers with Experience in Other Languages: Developers interested in diversifying their skill set by learning Python, given its wide applicability in web development, scripting, data science, and AI.,Entrepreneurs and Small Business Owners: Seeking to understand how Python and web development can solve problems, automate operations, or serve as the foundation for a tech startup.