Withdrawal method: Baidu.com
Total [76] sections
Availability of courseware: Yes

You will gain

① Mastering Python real-world applications

② Mastering the automated office using Python

③ Mastering the implementation of a basic web crawler using Python.

④ Master data analysis using Python.

population (esp. of a group of people)

python development engineer
Courses

The courseware and source code have all been packaged and uploaded to the
Chapter 1 class downloads are freely available after purchasing the class!

Systematic mastery of 16 points of core Python syntax, easy to cope with the work of 80% or more Python use scenarios!

72 lectures + source code + community Q&A + instructor community sharing session

[Who is suitable for this course?]

1) College students, who usually learn only Python theory and are not exposed to real-world Python problems;

2) People with a weak grasp of practical Python skills, automation, crawling, and data analytics can make you more productive quickly;

3) Want to learn new technologies such as Artificial Intelligence, Machine Learning, Deep Learning, etc., this course is a must for you;

4) Want to cultivate better programming internal skills, excellent engineers certainly can not only a language, Python language is powerful, efficient to use, easy to learn.

[Super Practical Skills]

Automated generation of weekly work reports from scratch

Career Upgrade Beanstalk Movie Data Crawl

Practical Examples Olympic Champion Data Analysis

Automated office: automate the analysis of Excel data and automate the manipulation of Word documents through Python, and finally get a data analysis report based on Excel tables.

Douban Movie Crawler: Automatically crawl the information of Douban movies through Python and save the movie images to local .

Olympic data analysis in action
Introduction: Analyze the data of the Olympic Games during 120 years through Python, and start analyzing it from different perspectives, so as to draw some interesting conclusions.

[Super Teacher]

two taels

Senior Member of China Artificial Intelligence Association

Generative Adversarial Neural Network Researchers

Author of "Generative Adversarial Networks in Depth: Anatomy of a Principle and TensorFlow Implementation".

Aliyun University Cloud Academy Mentor

Former back-end engineer at a major gaming company

[Super Rich Practical Cases]

0) Image background removal cases

(1) Automatic generation of weekly work report cases

2) Douban movie data crawling case

3) Olympic Games data analysis case

4) Automated mail processing cases

5) github information crawling/update reminder case

6) B station hundred UP information crawling and analyzing cases

7) Building Your Own Thesis Website Example

Points to know in this lesson

python programming language Python data analysis web crawler automation work life

Course Catalog

Chapter 1: Introduction to the course
Course 03:05

Chapter 2: Getting Started with Python from Zero (From Zero Python)
Developing with Python virtual environments 09:48
Variables and common operators 03:54
Loops and Judgments 08:49
Common container types 08:22
Using functions 03:43
Multithreading and multiprocessing in Python 05:14
Incremental recording in progress: abstraction and such 08:30
Error and Exception Handling 06:18
Using generating expressions 10:54
The doorway to decorators 17:12
Hands-on: Automatically removing image backgrounds 05:55
Hands-on: Adding an interface to a background removal program 09:56

Chapter 3: Python for Office Automation (Learn to automate your office in Python through file management)
Automated generation of weekly work reports case study 01:41
Process Grooming and Technical Point Analysis 01:58
Hands-on: Pandas reading and writing Excel 10:21
Hands-on: Plotting Data in Pandas 12:15
Hands-on: Python manipulation of Word 04:00
Hands-on: generating a weekly work report 17:34

Chapter 4: Python implementation of web crawler (learn to crawl through the case of website crawling)
Douban movie crawler case study 01:52
Process Grooming and Technical Point Analysis 01:18
Hands-on: Web page structure analysis 03:53
Hands-on: HTTP Request Principles 04:13
Hands-on: using requests with beautifulsoup 03:12
Hands-on: crawling douban movies (a) 13:07
Hands-on: crawling douban movies (II) 10:58
Hands-on: using threads to speed up crawlers 05:38

Chapter 5: Python Implementation of Data Analysis (Learn Data Analysis by Analyzing Olympic Champions)
120 Years of Olympics Data Analysis Case Notes 01:50
Process Grooming and Technical Point Analysis 01:47
Hands-on: data overview 11:11
Practical exercises: analysis of the age distribution of gold medalists 13:39
Hands-on: women's track and field data analysis 05:46
Hands-on: height and weight analysis of the medalists 05:52
Hands-on: analyzing the Olympics over time 16:52

Chapter 6: Python for Office Automation plus (Learn to automate your office in Python by automating your emails)
Excel Automated Processing and Sending Emails Case Study 03:25
Process Grooming and Technical Point Analysis 04:04
Hands-on: working with Excel data using Pandas 12:30
Hands-on: automated emailing 13:38
Practical exercises: automatic receipt of reply e-mail (a) 18:36
Hands-on: Automatically receive and respond to emails (I) 14:00
Hands-on: sending free reminder SMS 06:21

Chapter 7: Python implementation of web crawler plus (learn to crawl by auto-detecting Github case)
Everything you need to know about Github 07:40
Why programmers can't live without Github 06:18
Hands-on: instructions for efficient use of Github, are you doing it right? 05:23
Hands-on: automated detection of Github projects 19:48

Chapter 8: Python implementation of web crawler plus (through the crawl B station hundred UP master case learn to crawl)
B station 100 UP master video information crawler case description 03:29
Process Grooming and Technical Point Analysis 03:13
Hands-on: packet-catching proxy software use 12:32
Hands-on: website structure analysis 06:49
Hands-on: crawl the top 100 UP master video basic information (a) 17:11
Hands-on: crawl the top 100 UP master video basic information (II) 06:59
Hands-on: crawl the top 100 UP master video pop-up information 14:10
Hands-on: crawl the top 100 UP master video comment information 07:51
Hands-on: using thread pools to speed up crawlers 11:54

Chapter 9: Python implementation of data analysis plus (learn data analysis by analyzing an industry)
Movie Data Analytics Case Illustration 01:39
Process Grooming and Technical Point Analysis 01:39
Hands-on: movie data overview 04:56
Hands-on: movie data cleaning 21:58
Hands-on: the most numerous movie genres 09:03
Hands-on: different movie similarities vs. time 11:09
Hands-on: the relationship between movie features and the movie itself 19:57
Hands-on: the most profitable movies 14:06
Hands-on: the most popular movies 05:25

Chapter 10: Python Implementation Website Building plus (Learn Python web by building your own thesis website)
Latest Critical Essay Sites Case Illustration 02:24
Process Grooming and Technical Point Analysis 03:28
Hands-on: writing a thesis crawler (I) 12:37
Hands-on: writing a thesis crawler (II) 12:23
Hands-on: designing a website data table structure (I) 06:42
Hands-on: designing a website data table structure (II) 19:05
Hands-on: building a Flask project 04:39
Hands-on: writing an API interface to get data 12:59
Hands-on: writing a thesis website API 11:30
Hands-on: Getting to know the Bootstrap front-end layout framework 05:15
Hands-on: building website pages with Bootstrap 07:04
Hands-on: building front-end pages with Bootstrap 14:10

Chapter 11: Summary of the course
Course Summary 02:57

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