完整的Python 3和树莓Pi大师课 Complete Python 3 and Raspberry Pi Masterclass

在一门课程中学习Python 3基础、高级Python、科学Python、树莓Pi和硬件项目

你会学到:
Python 3基础
Python 3高级概念
树莓皮的设置和使用
科学巨蟒生态系统
NumPy和Matplotlib基础
图像处理
机器学习和数据科学基础
使用MySQL、Excel、明文和CSV
Python发行版
树莓皮的硬件及GPIO介绍
简单的发光二极管项目与树莓皮GPIO

时长:20h 27m |视频:. MP4，1280×720 30 fps |音频:AAC，44.1 kHz，2ch |大小解压后:9.8 GB
语言：英语+中英文字幕（云桥网络 机译）

要求:
一台视窗电脑和一个有网络连接的树莓皮
学习新事物的热情
将你的事业推向下一个层次的强烈愿望
先前的编程、电子和数学经验将非常有帮助，尽管这不是强制性的

描述:
成为Python 3和树莓Pi的大师，获得雇主最需要的21世纪技能之一！在当今的经济环境下，专家级Python 3和树莓Pi Professional至少可以赚到15万美元(15之后的4个零)。
这是Udemy上Python 3和树莓Pi最全面、最直接的课程！不管你之前是没接触过Python 3和树莓Pi，已经了解了Python编程的基础知识，还是想用Python 3学习树莓Pi的高级特性，这门课程都是为你准备的！在本课程中，我们将使用Python 3教您树莓Pi。
(注意，如果您需要，我们还会为您提供pdf、python程序和Jupyter笔记本)
这门综合课程有超过175场讲座和超过20个小时的视频，在教你Python3、树莓Pi、基础电子学、GPIO、基础物联网和图像处理方面不遗余力。
本课程将以非常实用的方式教你Python 3和树莓Pi，每节课都会附带一个编程视频和一个对应的有Python 3代码的Jupyter笔记本/程序文件！以最适合你的方式学习！

我们涵盖广泛的主题，包括:
Python 3在Windows上的安装
覆盆子酱设置
Python 3编程基础
高级Python 3编程
面向对象编程
Python中的异常
Pip和PyPI
科学巨蟒
NumPy和Matplotlib
用NumPy和Matplotlib进行图像处理
文件处理(明文、CSV和Excel文件)
科学与机器学习
MySQL和Python 3
还有许多这里没有列出的主题(参见实际课程索引中的主题列表)
您将终身访问超过175个讲座，以及相应的pdf、图像数据集、python程序和讲座的Jupyter笔记本！
那你还在等什么？学习Python 3和树莓Pi，以一种既有趣又实用的方式推进你的事业，增加你的知识！

这门课是给谁上的:
刚开始学Python和树莓Pi的人
任何想深入学习编程和电子学的人
科学家、数学家、物理学家和工程师
以前没有使用Python编程的程序员和开发人员
人们期待在数据科学、物联网和Python编程等领域的职业发展
经理和商业专业人士

1.课程介绍
2.在Windows计算机上设置和验证Python 3
3.Python 3和树莓Pi
4.Python入门
5.Python 3编程基础
6.算术表达式
7.条件语句
8.经营者
9.环
10.功能
11.递归
12.内置函数
13.文档字符串
14.PyCharm和Geany IDE
15.字符串和集合
16.面向对象编程和异常
17.日期时间和数学
18.命令行参数
19.Python包索引和pip
20.Python和MySQL
21.科学巨蟒生态系统和巨蟒
22.文件输入输出
23.安装NumPy和Matplotlib
24.NumPy入门
25.数组和Matplotlib的创建
26.随意采样
27.数组操作
28.位运算
29.统计函数
30.用NumPy和Matplotlib进行图像处理
31.SciPy的一点机器学习
32.完整的数据科学示例
33.情节基础
34.Python发行版
35.MariaDB和RPi
36.覆盆子皮引线和总线
37.基本电子元件
38.发光二极管编程
39.传感器和物联网
40.可下载的代码文件
Last Update: 4/2020
Duration: 20h 27m | Video: .MP4, 1280×720 30 fps | Audio: AAC, 44.1 kHz, 2ch | Size: 9.68 GB
Genre: eLearning | Language: English

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

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

Requirements:
A Windows PC and a Raspberry Pi with Internet Connection
Zeal and enthusiasm to learn new things
a burning desire to take your career to the next level
Prior Programming, electronics, and Maths experience will be very helpful although it is not mandatory

Description:
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!

Who this course is for:
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

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

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