The Complete Python Programming Bootcamp

The Complete Python Programming Bootcamp, available at $69.99, has an average rating of 3.9, with 96 lectures, 3 quizzes, based on 727 reviews, and has 7829 subscribers.

You will learn about Gain a complete understanding of Python 3 Write programs that can recognize patterns of text through regular expressions Create, Read and Write to Files on their System Crawl websites for data and pull information through BeautifulSoup Automate their web browsers with Selenium and run their own scripts Programmatically generate, update, and parse Word and Excel documents Schedule Tasks and understand Threading Creating GUIs in Python with Tkinter Analyze and Visualize Data with MatPlotLib This course is ideal for individuals who are Beginner Programmers looking to learn how to code or Anyone wanting to learn Python Programming or Intermediate Python Programmers looking to dive deeper into Python or Programmers looking to switch languages to Python It is particularly useful for Beginner Programmers looking to learn how to code or Anyone wanting to learn Python Programming or Intermediate Python Programmers looking to dive deeper into Python or Programmers looking to switch languages to Python.

Enroll now: The Complete Python Programming Bootcamp

Summary

Title: The Complete Python Programming Bootcamp

Price: $69.99

Average Rating: 3.9

Number of Lectures: 96

Number of Quizzes: 3

Number of Published Lectures: 96

Number of Published Quizzes: 3

Number of Curriculum Items: 99

Number of Published Curriculum Objects: 99

Original Price: $199.99

Quality Status: approved

Status: Live

What You Will Learn

Gain a complete understanding of Python 3

Write programs that can recognize patterns of text through regular expressions

Create, Read and Write to Files on their System

Crawl websites for data and pull information through BeautifulSoup

Automate their web browsers with Selenium and run their own scripts

Programmatically generate, update, and parse Word and Excel documents

Schedule Tasks and understand Threading

Creating GUIs in Python with Tkinter

Analyze and Visualize Data with MatPlotLib

Who Should Attend

Beginner Programmers looking to learn how to code

Anyone wanting to learn Python Programming

Intermediate Python Programmers looking to dive deeper into Python

Programmers looking to switch languages to Python

Target Audiences

Beginner Programmers looking to learn how to code

Anyone wanting to learn Python Programming

Intermediate Python Programmers looking to dive deeper into Python

Programmers looking to switch languages to Python

Do you want to become a programmer? Do you want to learn how to create games, automate your browser, visualize data, and much more?

If you’re looking to learn Python for the very first time or need a quick brush-up, this is the course for you!

Python has rapidly become one of the most popular programming languagesaround the world. Compared to other languages such as Java or C++, Python consistently outranks and outperforms these languages in demand from businesses and job availability. The average Python developer makes over $100,000– this number is only going to grow in the coming years.

The best part? Python is one of the easiest coding languagesto learn right now. It doesn’t matter if you have no programming experience or are unfamiliar with the syntax of Python. By the time you finish this course, you’ll be an absolute pro at programming!

This course will cover all the basics and several advanced concepts of Python. We’ll go over:

The fundamentals of Python programming

Writing and Reading to Files

Automation of Word and Excel Files

Web scraping with BeautifulSoup4

Browser automation with Selenium

Data Analysis and Visualization with MatPlotLib

Regex parsing and Task Management

GUI and Gaming with Tkinter

And much more!

If you read the above list and are feeling a bit confused, don’t worry! As an instructor and student on Udemy for almost 4 years, I know what it’s like to be overwhelmed with boring and mundane. I promise you’ll have a blast learning the ins and outs of python. I’ve successfully taught over 200,000+ studentsfrom over 200 countries jumpstart their programming journeys through my courses.

Here’s what some of my students have to say:

“I wish I started programming at a younger age like Avi. ?This Python course was excellent for those that cringe at the thought of starting over from scratch with attempts to write programs once again. Python is a great building language for any beginner programmer. Thank you Avi!”

“I had no idea about any programming language. With Avi’s lectures, I’m now aware of several python concepts and I’m beginning to write my own programs. Avi is crisp and clear in his lectures and it is easy to catch the concepts and the depth of it through his explanations. Thanks, Avi for the wonderful course, You’re awesome! It’s helping me a lot :)”

“Videos are short and concise and well-defined in their title, this makes them easy to refer back to when a refresher is needed. Explanations aren’t convoluted with complicated examples, which adds to the quick pace of the videos. I am very pleased with the decision to enroll in this course. Not only has it increased the pace I’m learning Python but I actively look forward to continuing the course, whenever I get the chance. Avi is friendly and energetic, absolutely delightful as an instructor.”

So what are you waiting for? Jumpstart your programming journey and dive into the world of Python by enrolling in this course today!

Course Curriculum

Chapter 1: Welcome to the Course!

Lecture 1: Introduction

Chapter 2: Introduction to Python Programming

Lecture 1: Arithmetic Operators

Lecture 2: Variables and Multiple Assignment

Lecture 3: Placeholders in Strings

Lecture 4: Exercises: Variables, Operators, Strings

Lecture 5: Solutions: Variables, Operators, Strings

Lecture 6: Introduction to Lists

Lecture 7: Dictionaries

Lecture 8: Tuples

Lecture 9: Exercises – Lists, Dictionaries, Tuples

Lecture 10: Solutions – Lists, Dictionaries, Tuples

Lecture 11: Conditional Statements

Lecture 12: For Loops

Lecture 13: While Loops

Lecture 14: Try and Except

Lecture 15: Functions

Lecture 16: In-Built Functions

Lecture 17: Object-Oriented Programming

Lecture 18: Inheritance

Chapter 3: File Input / Output and Automation with Word and Excel

Lecture 1: OS Functions and File Input / Output

Lecture 2: Copying, Moving and Renaming Files

Lecture 3: Deleting Files and Folders

Lecture 4: Word Automation: Reading Word Documents

Lecture 5: Word Automation: The Run Object

Lecture 6: Word Automation: Writing to Documents and Styling

Lecture 7: Word Automation: Headings and Pictures

Lecture 8: Excel Automation: Introduction to OpenPyXL

Lecture 9: Excel Automation: Reading Sheets and Cells

Lecture 10: Excel Automation: Accessing Columns and Rows

Lecture 11: Excel Automation: Setting Fonts and Formulas

Lecture 12: Excel Automation: Merging Cells and Freezing Panes

Lecture 13: Excel Automation: Writing and Saving to Sheets

Lecture 14: Excel Automation: Adjusting Rows and Columns

Lecture 15: Excel Automation: Creating Charts

Chapter 4: Web Scraping, Parsing and Browser Automation

Lecture 1: The Requests Module

Lecture 2: Getting Started with BeautifulSoup

Lecture 3: Attributes and Navigation

Lecture 4: Finding Elements and Getting Attributes

Lecture 5: Siblings, Elements and Children

Lecture 6: Introduction to Selenium

Lecture 7: Accessing Attributes and Content

Lecture 8: Clicking and Browser Buttons

Lecture 9: Entering in Text

Chapter 5: Data Analysis and Visualization – Graphs and Charts

Lecture 1: Introduction to MatPlotLib

Lecture 2: Understanding the MatPlotLib Interface

Lecture 3: Adding Multiple Graphs

Lecture 4: Adding Data with NumPy

Lecture 5: Adding Labels and Titles

Lecture 6: Creating a Legend

Lecture 7: Displaying Gridlines and Axes

Lecture 8: Color Customization

Lecture 9: Line and Marker Customization

Lecture 10: More Styling with Plot()

Lecture 11: Multiple Figures in a Graph

Lecture 12: More Color Customization

Lecture 13: Creating Histograms

Lecture 14: Creating Pie Charts

Lecture 15: Creating Bar Charts

Lecture 16: Creating Scatter Plots

Lecture 17: Introduction to 3D Plots

Lecture 18: Creating 3D Scatter Plots

Lecture 19: Creating 3D Bar Charts

Chapter 6: Regular Expressions and Task Management

Lecture 1: Regular Expressions: Regex Objects and Grouping

Lecture 2: Regular Expressions: Optional Matching and Findall()

Lecture 3: Regular Expressions: Character Classes and the Caret/Dollar Characters

Lecture 4: Regular Expressions: Greedy and Non-Greedy Matching

Lecture 5: Regular Expressions: Case-Insensitive Matching and Substitutions

Lecture 6: Threading and Scheduling: The Time Module

Lecture 7: Threading and Scheduling: Using the DateTime Function

Lecture 8: Threading and Scheduling: Python Threading

Lecture 9: Threading and Scheduling: Scheduling Tasks

Chapter 7: Python GUI and Gaming

Lecture 1: Tkinter Introduction

Lecture 2: Creating Labels

Lecture 3: Creating buttons

Lecture 4: Adding Layouts

Lecture 5: The Fill Method

Lecture 6: Understanding the Grid Layout

Lecture 7: Inputting Entries

Lecture 8: Creating Check Buttons

Lecture 9: Adding GUI Login

Lecture 10: Adding Button Click Action

Lecture 11: Binding Button Functions

Lecture 12: More Binding!

Lecture 13: Getting Entry Data

Lecture 14: Adding a Message Box

Lecture 15: Creating Drop Down Menus

Lecture 16: Creating a Calculator: Part 1

Lecture 17: Creating a Calculator: Part 2

Lecture 18: Creating a Calculator: Part 3

Lecture 19: Creating a Calculator: Part 4

Instructors

Avinash Jain
Taught 1 million students how to code

The Codex
Teaching Python through Projects

Rating Distribution

1 stars: 5 votes

2 stars: 21 votes

3 stars: 82 votes

4 stars: 272 votes

5 stars: 347 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!