Complete Python 3 and Raspberry Pi Masterclass

Complete Python 3 and Raspberry Pi Masterclass, available at $69.99, has an average rating of 3.45, with 176 lectures, based on 203 reviews, and has 2871 subscribers.

You will learn about Python 3 Basics Python 3 Advanced Concepts Setting Up and using Raspberry Pi Scientific Python Ecosystem Basics of NumPy and Matplotlib Image Processing Basics of Machine Learning and Data Science Work with MySQL, Excel, Plaintext, and CSV Python Distributions Introduction to Hardware and GPIO of Raspberry Pi Simple LED project with Raspberry Pi GPIO This course is ideal for individuals who are People who are just beginning to learn Python and Raspberry Pi or Anyone who wants to learn programming and electronics in depth or Scientists, Mathematicians, Physicists, and Engineers or Programmers and Developers who have not programmed with Python before or People looking forward for careers in domains like Data Science, IoT, and Python Programming or Managers and Business Professionals It is particularly useful for People who are just beginning to learn Python and Raspberry Pi or Anyone who wants to learn programming and electronics in depth or Scientists, Mathematicians, Physicists, and Engineers or Programmers and Developers who have not programmed with Python before or People looking forward for careers in domains like Data Science, IoT, and Python Programming or Managers and Business Professionals.

Enroll now: Complete Python 3 and Raspberry Pi Masterclass

Summary

Title: Complete Python 3 and Raspberry Pi Masterclass

Price: $69.99

Average Rating: 3.45

Number of Lectures: 176

Number of Published Lectures: 176

Number of Curriculum Items: 176

Number of Published Curriculum Objects: 176

Original Price: $19.99

Quality Status: approved

Status: Live

What You Will Learn

Python 3 Basics
Python 3 Advanced Concepts
Setting Up and using Raspberry Pi
Scientific Python Ecosystem
Basics of NumPy and Matplotlib
Image Processing
Basics of Machine Learning and Data Science
Work with MySQL, Excel, Plaintext, and CSV
Python Distributions
Introduction to Hardware and GPIO of Raspberry Pi
Simple LED project with Raspberry Pi GPIO

Who Should Attend

People who are just beginning to learn Python and Raspberry Pi
Anyone who wants to learn programming and electronics in depth
Scientists, Mathematicians, Physicists, and Engineers
Programmers and Developers who have not programmed with Python before
People looking forward for careers in domains like Data Science, IoT, and Python Programming
Managers and Business Professionals

Target Audiences

People who are just beginning to learn Python and Raspberry Pi
Anyone who wants to learn programming and electronics in depth
Scientists, Mathematicians, Physicists, and Engineers
Programmers and Developers who have not programmed with Python before
People looking forward for careers in domains like Data Science, IoT, and Python Programming
Managers and Business Professionals

Become a Master in Python 3 and Raspberry Pi and acquire employers’ one of the most requested skills of 21st Century! An expert level Python 3 and Raspberry Pi Professional can earn minimum $150000 (that’s four zeros after 15) in today’s economy.

This is the most comprehensive, yet straight-forward course for the Python 3 and Raspberry Pi on Udemy! Whether you have never worked with Python 3 and Raspberry Pi before, already know basics of Python Programming, or want to learn the advanced features of Raspberry Pi with Python 3, this course is for you! In this course we will teach you Raspberry Pi with Python 3.

(Note, we also provide you PDFs, python programs, and Jupyter Notebooks in case you need them)

With over 175 lectures and more than 20 hours of video this comprehensive course leaves no stone unturned in teaching you Python3, Raspberry Pi, Basic Electronics, GPIO, basic Internet of Things, and Image Processing.

This course will teach you Python 3 and Raspberry Pi in a very practical manner, with every lecture comes a programming video and a corresponding Jupyter notebook/ program file that has Python 3 code! Learn in whatever manner is the best for you!

We cover a wide variety of topics, including:

Python 3 Installation on Windows
Raspberry Pi Setup
Basics of Python 3 Programming
Advanced Python 3 Programming
Object Oriented Programming
Exceptions in Python
Pip and PyPI
Scientific Python
NumPy and Matplotlib
Image Processing with NumPy and Matplotlib
File Handling (plaintext, CSV, and Excel files)
SciPy and Machine Learning
MySQL and Python 3
and many more topics not listed here (see the actual course index for the list of topics)

You will get lifetime access to over 175 lectures plus corresponding PDFs, Image Datasets, python programs, and the Jupyter notebooks for the lectures!

So what are you waiting for? Learn Python 3 and Raspberry Pi in a way that will advance your career and increase your knowledge, all in a fun and practical way!

Course Curriculum

Chapter 1: Introduction of the Course

Lecture 1: Objectives, Audience, and Prerequisites

Lecture 2: Course Contents and Topics Overview

Lecture 3: Please leave your feedback

Lecture 4: Why Python 3

Chapter 2: Setup and Verify Python 3 on Windows Computer

Lecture 1: Python 3 Installation on Windows

Lecture 2: Verify the Python installation on Windows

Chapter 3: Python 3 and Raspberry Pi

Lecture 1: What is Raspberry Pi?

Lecture 2: Raspberry Pi OS Setup

Lecture 3: Remote Connection to RPi with VNC

Lecture 4: Install IDLE3 on Raspberry Pi Raspbian

Lecture 5: Python on Raspberry Pi

Lecture 6: Tour of Raspbian OS

Lecture 7: RPi Models and GPIO

Lecture 8: RPi vs Arduino Uno

Lecture 9: Additional Online Learning Resources

Lecture 10: Additional Software for Remote Connection

Lecture 11: Turn your Raspberry Pi 4 into a portable tablet with Raspad 3

Chapter 4: Getting Started with Python

Lecture 1: Hello World! on Windows

Lecture 2: Hello World! on Raspberry Pi

Lecture 3: Interpreter vs Script Mode

Lecture 4: A brief tour of IDLE

Lecture 5: Comparison: RPi vs PC vs Mac

Chapter 5: Python 3 Programming Basics

Lecture 1: Basic Data Types

Lecture 2: Assignment Operators

Lecture 3: print() function

Lecture 4: Comments in Python

Lecture 5: input() functions

Lecture 6: Code Blocks and Indentation

Lecture 7: Reserved words in Python

Chapter 6: Arithmetic Expressions

Lecture 1: Assignment Operators and Expressions

Lecture 2: Arithmetic Operations

Lecture 3: Precedence and Associativity

Chapter 7: Conditional Statements

Lecture 1: Boolean Expressions

Lecture 2: If Statement

Lecture 3: If-Else

Lecture 4: Nested-If

Lecture 5: If-Elif-Else

Chapter 8: Operators

Lecture 1: Membership

Lecture 2: Logical

Lecture 3: Bitwise

Chapter 9: Loops

Lecture 1: While

Lecture 2: While-break

Lecture 3: While-Continue

Lecture 4: for-list

Lecture 5: for-range

Lecture 6: for-continue-break

Lecture 7: prime

Lecture 8: calculating factorial

Lecture 9: Computing Fibonacci Series

Chapter 10: Functions

Lecture 1: Simple Function

Lecture 2: Function Arguments

Lecture 3: Function with returns

Lecture 4: Arbitrary Arguments

Chapter 11: Recursion

Lecture 1: Simple Recursion

Lecture 2: Factorial with Recursion

Lecture 3: Fibonacci

Lecture 4: Indirect Recursion

Chapter 12: Built-in Functions

Lecture 1: Built-in Functions

Chapter 13: DocStrings

Lecture 1: DocStrings

Chapter 14: PyCharm and Geany IDE

Lecture 1: PyChard IDE on Windows

Lecture 2: Geany IDE on Windows

Chapter 15: Strings and Collections

Lecture 1: Strings

Lecture 2: Tuples

Lecture 3: Lists

Lecture 4: Sets

Lecture 5: Dictionaries

Chapter 16: Object Oriented Programming and Exception

Lecture 1: Classes and Object

Lecture 2: Inheritance

Lecture 3: Exception handling

Lecture 4: More Exceptions

Lecture 5: Custom Exceptions

Chapter 17: Datetime and Math

Lecture 1: Datetime

Lecture 2: Math

Chapter 18: Command Line Arguments

Lecture 1: Command Line Arguments

Chapter 19: Python Package Index and pip

Lecture 1: PyPI and pip

Lecture 2: pip on Windows

Lecture 3: pip on Raspberry Pi

Chapter 20: Python and MySQL

Lecture 1: MySQL Windows Installation

Lecture 2: Getting Started with MySQL and SQL Workbench

Lecture 3: Install SQL Developer on Windows

Instructors

Ashwin Pajankar • 85,000+ Students Worldwide
Instructor | Programmer | Maker | Author | Youtuber

Rating Distribution

1 stars: 9 votes
2 stars: 4 votes
3 stars: 38 votes
4 stars: 74 votes
5 stars: 78 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!

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