Python, Raspberry Pi, Electronics, and IoT Bootcamp
Python, Raspberry Pi, Electronics, and IoT Bootcamp, available at $64.99, has an average rating of 4.4, with 218 lectures, based on 210 reviews, and has 1769 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 Work with MySQL Work with MySQL Simple LED project with Raspberry Pi GPIO IoT with Raspberry Pi Interfacing Hardware and Electronics with Raspberry Pi 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: Python, Raspberry Pi, Electronics, and IoT Bootcamp
Summary
Title: Python, Raspberry Pi, Electronics, and IoT Bootcamp
Price: $64.99
Average Rating: 4.4
Number of Lectures: 218
Number of Published Lectures: 218
Number of Curriculum Items: 218
Number of Published Curriculum Objects: 218
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
- Work with MySQL
- Work with MySQL
- Simple LED project with Raspberry Pi GPIO
- IoT with Raspberry Pi
- Interfacing Hardware and Electronics with Raspberry Pi
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 215 lectures and more than 25.5 hours of video this comprehensive course leaves no stone unturned in teaching you Python3, Raspberry Pi, Basic Electronics, GPIO, Internet of Things, Image Processing, and much more.
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:
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Python 3 Installation on Windows
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Raspberry Pi Setup
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Basics of Python 3 Programming
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Advanced Python 3 Programming
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Object Oriented Programming
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Exceptions in Python
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Pip and PyPI
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Scientific Python
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NumPy and Matplotlib
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Image Processing with NumPy and Matplotlib
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MySQL and Python 3
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Various Python IDEs
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Internet of Things
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Image Processing
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Data Structures
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Graphs and Networks
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Web Scrapping
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Unit Testing
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Test Driven Development
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Logging
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Introduction to OpenCV
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Camera Module
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Webcam
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os and sys libraries
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and many more topics not listed here (see the actual course index for the list of topics)
You will get lifetime access to over 215 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
Lecture 1: Course Objectives, Audience, and Prerequisites
Lecture 2: Contents and Topics Overview
Chapter 2: Introduction to Python Programming Language
Lecture 1: What is Python
Lecture 2: Python Distributions
Chapter 3: Python 3 and Raspberry Pi
Lecture 1: Single Board Computers and Raspberry Pi
Lecture 2: Raspberry Pi OS Setup
Lecture 3: Remote Desktop Connection from Windows to Pi with VNC
Lecture 4: Install IDLE3 on Raspbian
Lecture 5: Python 3 on Raspberry Pi
Lecture 6: Additional Remote Connection Software
Lecture 7: Turning Raspberry Pi 4 into a Tablet with SunFounder Raspad 3
Chapter 4: Python 3 Basics
Lecture 1: 'Hello World!' on Raspberry Pi
Lecture 2: Interpreter vs Script Mode
Lecture 3: IDLE3
Lecture 4: Comparison of Raspberry Pi with PC and Mac
Chapter 5: Python 3 Programming Basics
Lecture 1: Basic Data Types
Lecture 2: Assignment Operator
Lecture 3: print() function
Lecture 4: Comments
Lecture 5: input() function
Lecture 6: Code blocks and Indentation
Lecture 7: Reserved words in Python 3.7
Chapter 6: Arithmetic Expressions
Lecture 1: Assignment Operator and Expressions
Lecture 2: Arithmetic Operations
Lecture 3: Associativity and Precedence
Chapter 7: Conditional Statements
Lecture 1: Boolean Expressions
Lecture 2: If statement
Lecture 3: If else
Lecture 4: Nested If
Lecture 5: Elif Else
Chapter 8: Operators
Lecture 1: Membership Operator
Lecture 2: Logical Operators
Lecture 3: Bitwise Operators
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 numbers
Lecture 8: Factorial Computation
Lecture 9: Fibonacci Series
Chapter 10: Functions
Lecture 1: Simple Functions
Lecture 2: Functions with Arguments
Lecture 3: Function with Return Values
Lecture 4: Functions with Arbitrary number of arguments
Chapter 11: Recursion
Lecture 1: Simple Recursion
Lecture 2: Factorial Computation
Lecture 3: Fibonacci Series
Lecture 4: Mutual Recursion
Chapter 12: Built in Python 3 Functions
Lecture 1: Built in Python 3 Functions
Chapter 13: DocStrings
Lecture 1: DocStrings
Chapter 14: Various Python 3 IDEs and Text Editors for Raspberry Pi
Lecture 1: Spyder
Lecture 2: Mu Editor
Lecture 3: Nano
Chapter 15: Dictionary and Strings
Lecture 1: Strings
Lecture 2: Tuple
Lecture 3: Lists
Lecture 4: Set
Lecture 5: Dictionary
Chapter 16: Object Oriented Programming
Lecture 1: Everything is Object in Python!
Lecture 2: Classes and Objects
Lecture 3: Simple Inheritance
Lecture 4: Exception Basics
Lecture 5: Handle Multiple Exceptions
Lecture 6: Else and Finally blocks
Lecture 7: Custom Exception Class with Multilevel Inheritance
Chapter 17: Datetime and Math Libraries
Lecture 1: Datetime
Lecture 2: Math Library – Part 1
Lecture 3: Math Library – Part 2
Chapter 18: Command Line Arguments
Lecture 1: Command Line Arguments
Chapter 19: PyPI and pip
Lecture 1: Python Package Index and pip
Lecture 2: pip3 on Raspberry Pi
Chapter 20: Python3 and MariaDB
Lecture 1: Install MariaDB on Raspberry Pi
Lecture 2: Install pymysql on Raspberry Pi
Lecture 3: Connect to MariaDB with Python 3
Lecture 4: CREATE TABLE – DDL
Lecture 5: INSERT
Lecture 6: SELECT
Lecture 7: UPDATE
Instructors
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Ashwin Pajankar • 85,000+ Students Worldwide
Instructor | Programmer | Maker | Author | Youtuber
Rating Distribution
- 1 stars: 9 votes
- 2 stars: 11 votes
- 3 stars: 30 votes
- 4 stars: 75 votes
- 5 stars: 85 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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