The Complete Python Bootcamp From Zero to Hero in Python

The Complete Python Bootcamp From Zero to Hero in Python, available at $189.99, has an average rating of 4.56, with 255 lectures, 29 quizzes, based on 515402 reviews, and has 1950268 subscribers.

You will learn about You will learn how to leverage the power of Python to solve tasks. You will build games and programs that use Python libraries. You will be able to use Python for your own work problems or personal projects. You will create a portfolio of Python based projects you can share. Learn to use Python professionally, learning both Python 2 and Python 3! Create games with Python, like Tic Tac Toe and Blackjack! Learn advanced Python features, like the collections module and how to work with timestamps! Learn to use Object Oriented Programming with classes! Understand complex topics, like decorators. Understand how to use both the Jupyter Notebook and create .py files Get an understanding of how to create GUIs in the Jupyter Notebook system! Build a complete understanding of Python from the ground up! This course is ideal for individuals who are Beginners who have never programmed before. or Programmers switching languages to Python. or Intermediate Python programmers who want to level up their skills! It is particularly useful for Beginners who have never programmed before. or Programmers switching languages to Python. or Intermediate Python programmers who want to level up their skills!.

Enroll now: The Complete Python Bootcamp From Zero to Hero in Python

Summary

Title: The Complete Python Bootcamp From Zero to Hero in Python

Price: $189.99

Average Rating: 4.56

Number of Lectures: 255

Number of Quizzes: 29

Number of Published Lectures: 156

Number of Published Quizzes: 27

Number of Curriculum Items: 284

Number of Published Curriculum Objects: 183

Original Price: $199.99

Quality Status: approved

Status: Live

What You Will Learn

You will learn how to leverage the power of Python to solve tasks.

You will build games and programs that use Python libraries.

You will be able to use Python for your own work problems or personal projects.

You will create a portfolio of Python based projects you can share.

Learn to use Python professionally, learning both Python 2 and Python 3!

Create games with Python, like Tic Tac Toe and Blackjack!

Learn advanced Python features, like the collections module and how to work with timestamps!

Learn to use Object Oriented Programming with classes!

Understand complex topics, like decorators.

Understand how to use both the Jupyter Notebook and create .py files

Get an understanding of how to create GUIs in the Jupyter Notebook system!

Build a complete understanding of Python from the ground up!

Who Should Attend

Beginners who have never programmed before.

Programmers switching languages to Python.

Intermediate Python programmers who want to level up their skills!

Target Audiences

Beginners who have never programmed before.

Programmers switching languages to Python.

Intermediate Python programmers who want to level up their skills!

Become a Python Programmer and learn one of employer’s most requested skills of 2023!

This is the most comprehensive, yet straight-forward, course for the Python programming language on Udemy! Whether you have never programmed before, already know basic syntax, or want to learn about the advanced features of Python, this course is for you! In this course we will teach you Python 3.

With over 100 lectures and more than 21 hours of video this comprehensive course leaves no stone unturned! This course includes quizzes, tests, coding exercises and homework assignments as well as 3 major projects to create a Python project portfolio!

Learn how to use Python for real-world tasks, such as working with PDF Files, sending emails, reading Excel files, Scraping websites for informations, working with image files, and much more!

This course will teach you Python in a practical manner, with every lecture comes a full coding screencast and a corresponding code notebook! Learn in whatever manner is best for you!

We will start by helping you get Python installed on your computer, regardless of your operating system, whether its Linux, MacOS, or Windows, we’ve got you covered.

We cover a wide variety of topics, including:

Command Line Basics

Installing Python

Running Python Code

Strings

Lists 

Dictionaries

Tuples

Sets

Number Data Types

Print Formatting

Functions

Scope

args/kwargs

Built-in Functions

Debugging and Error Handling

Modules

External Modules

Object Oriented Programming

Inheritance

Polymorphism

File I/O

Advanced Methods

Unit Tests

and much more!

You will get lifetime access to over 100 lectures plus corresponding Notebooks for the lectures!

This course comes with a 30 day money back guarantee! If you are not satisfied in any way, you’ll get your money back. Plus you will keep access to the Notebooks as a thank you for trying out the course!

So what are you waiting for? Learn Python in a way that will advance your career and increase your knowledge, all in a fun and practical way!

Course Curriculum

Chapter 1: Course Overview

Lecture 1: Auto-Welcome Message

Lecture 2: Course Introduction

Lecture 3: Course Curriculum Overview

Lecture 4: Why Python?

Lecture 5: Course FAQs

Chapter 2: Python Setup

Lecture 1: Command Line Basics

Lecture 2: Installing Python (Step by Step)

Lecture 3: Running Python Code

Lecture 4: Getting the Notebooks and the Course Material

Lecture 5: Git and Github Overview (Optional)

Chapter 3: Python Object and Data Structure Basics

Lecture 1: Introduction to Python Data Types

Lecture 2: Python Numbers

Lecture 3: Numbers – FAQ

Lecture 4: Variable Assignments

Lecture 5: Introduction to Strings

Lecture 6: Indexing and Slicing with Strings

Lecture 7: String Properties and Methods

Lecture 8: Strings -FAQ

Lecture 9: Print Formatting with Strings

Lecture 10: Print Formatting FAQs

Lecture 11: Lists in Python

Lecture 12: Lists – FAQ

Lecture 13: Dictionaries in Python

Lecture 14: Dictionaries – FAQ

Lecture 15: Tuples with Python

Lecture 16: Sets in Python

Lecture 17: Booleans in Python

Lecture 18: I/O with Basic Files in Python

Lecture 19: Resources for More Basic Practice

Lecture 20: Python Objects and Data Structures Assessment Test Overview

Lecture 21: Python Objects and Data Structures Assessment Test Solutions

Chapter 4: Python Comparison Operators

Lecture 1: Comparison Operators in Python

Lecture 2: Chaining Comparison Operators in Python with Logical Operators

Chapter 5: Python Statements

Lecture 1: If Elif and Else Statements in Python

Lecture 2: For Loops in Python

Lecture 3: While Loops in Python

Lecture 4: Useful Operators in Python

Lecture 5: List Comprehensions in Python

Lecture 6: Python Statements Test Overview

Lecture 7: Python Statements Test Solutions

Chapter 6: Methods and Functions

Lecture 1: Methods and the Python Documentation

Lecture 2: Introduction to Functions

Lecture 3: def Keyword

Lecture 4: Basics of Python Functions

Lecture 5: Logic with Python Functions

Lecture 6: Tuple Unpacking with Python Functions

Lecture 7: Interactions between Python Functions

Lecture 8: Overview of Quick Function Exercises #1-10

Lecture 9: *args and **kwargs in Python

Lecture 10: Function Practice Exercises – Overview

Lecture 11: Function Practice Exercises – Solutions

Lecture 12: Function Practice – Solutions Level One

Lecture 13: Function Practice – Solutions Level Two

Lecture 14: Function Exercise Solutions – Challenge Problem

Lecture 15: Lambda Expressions, Map, and Filter Functions

Lecture 16: Nested Statements and Scope

Lecture 17: Methods and Functions Homework Overview

Lecture 18: Methods and Functions Homework – Solutions

Chapter 7: Milestone Project – 1

Lecture 1: Introduction to Warm Up Project Exercises

Lecture 2: Displaying Information

Lecture 3: Accepting User Input

Lecture 4: Validating User Input

Lecture 5: Simple User Interaction

Lecture 6: First Python Milestone Project Overview

Lecture 7: Milestone Project Help

Lecture 8: Solution Overview for MileStone Project 1 – Part One

Instructors

Jose Portilla
Head of Data Science at Pierian Training

Pierian Training
Data Science and Machine Learning Training

Rating Distribution

1 stars: 2396 votes

2 stars: 4563 votes

3 stars: 39568 votes

4 stars: 186837 votes

5 stars: 282038 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!