Udemy

Complete Python 3 and Raspberry Pi Masterclass

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  • 2,923 Students
  • Updated 7/2022
4.0
(209 Ratings)
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Course Information

Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
20 Hour(s) 32 Minute(s)
Language
English
Taught by
Ashwin Pajankar • 85,000+ Students Worldwide
Rating
4.0
(209 Ratings)
2 views

Course Overview

Complete Python 3 and Raspberry Pi Masterclass

Learn Python 3 Basics, Advanced Python, Scientific Python, Raspberry Pi, and Hardware projects in a single course

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 Content

  • 41 section(s)
  • 176 lecture(s)
  • Section 1 Introduction of the Course
  • Section 2 Setup and Verify Python 3 on Windows Computer
  • Section 3 Python 3 and Raspberry Pi
  • Section 4 Getting Started with Python
  • Section 5 Python 3 Programming Basics
  • Section 6 Arithmetic Expressions
  • Section 7 Conditional Statements
  • Section 8 Operators
  • Section 9 Loops
  • Section 10 Functions
  • Section 11 Recursion
  • Section 12 Built-in Functions
  • Section 13 DocStrings
  • Section 14 PyCharm and Geany IDE
  • Section 15 Strings and Collections
  • Section 16 Object Oriented Programming and Exception
  • Section 17 Datetime and Math
  • Section 18 Command Line Arguments
  • Section 19 Python Package Index and pip
  • Section 20 Python and MySQL
  • Section 21 Scientific Python Ecosystem and Jupyter
  • Section 22 File I/O
  • Section 23 Install NumPy and Matplotlib
  • Section 24 Getting Started with NumPy
  • Section 25 Creation of Arrays and Matplotlib
  • Section 26 Random Sampling
  • Section 27 Ndarray Manipulation
  • Section 28 Bitwise Operations
  • Section 29 Statistical Functions
  • Section 30 Image Processing with NumPy and Matplotlib
  • Section 31 A bit of Machine Learning with SciPy
  • Section 32 Complete Data Science Example
  • Section 33 Plotly Basics
  • Section 34 Python Distributions
  • Section 35 MariaDB and RPi
  • Section 36 Raspberry Pi Pinout and Buses
  • Section 37 Basic Electronics Components
  • Section 38 LED Programming
  • Section 39 Sensors and IoT
  • Section 40 Downloadable Code Files
  • Section 41 BONUS SECTION

What You’ll 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


Reviews

  • R
    Ricardo Briones
    5.0

    Thank you. Really enjoying this course. Easy to follow and learning and learning.

  • P
    Prayander Sahatma Siahaan
    5.0

    saya senang ini menjadi bahan yang bagus buat mengerjakan tugas akhir saya

  • M
    Mauricio Ivan Rodriguez Sanchez
    5.0

    Yes, I am learning the basics and some useful tricks

  • T
    Tho Nguyen
    4.0

    Could use a better microphone

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