What do python full stack engineers learn?

Full stack engineer refers to a person who masters various python technologies and can independently complete products.

Python full-stack engineers use Python-related tools and knowledge to complete everything from the implementation of front-end pages, to the writing of back-end code, to database management. One person can handle everything about a company website, truly realizing full-stack development. .

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What do python full-stack engineers learn?

1. Basics of Python development

Core competencies:

1. Master the principles of computer hardware & operating systems;

2. Master the basics of Python Programming grammar;

3. Master data types, character encoding, and file operations;

4. Master functions, decorators, iterators, and built-in methods.

2. Python Advanced Programming & Database Development

Core competencies:

1. Object-oriented development;

2. Socket network programming;

3. Mysql database development;

4. Threads, processes, queues, and IO multi-channel models.

Front-end development

Core capabilities:

1. Html, CSS, JavaScript development;

2. Jquery\bootstrap development;

3. Front-end framework VUE development.

4. WEB Framework Development

Core Competencies:

1. Django Framework Basics;

2. Django Framework Advanced;

3. BBS Blog practical project development;

4. Cache and queue middleware;

5. Flask framework learning;

6. Tornado framework learning;

7. Restful API.

5. Crawler development

Core competencies:

1. Master the working principles and design ideas of crawlers;

2. Master the anti-crawler mechanism;

3. Master distributed cluster crawler applications.

6. Full-stack project practice

Core competencies:

1. Enterprise application tool learning;

2. CRM customer relationship management system development;

3. Development of Luffy Academy online education platform.

7. Data Analysis

Core competencies:

1. Learn financial knowledge in Python related modules;

2. Financial quantitative analysis methods;

3. Development of quantitative strategy platform;

4. Common financial analysis strategies such as "Double Moving Average", "Weekly Rule Trading", "Alpaca Strategy", "Dual Thrust Trading Strategy";

5. Numpy/Pandas/Scipy data analysis module.

8. Artificial Intelligence

Core capabilities:

1. Machine learning to crawl a large amount of historical movie data;

2. Image recognition context;

3. UAV development and unmanned driving.

9. Automated operation & maintenance & development

Core capabilities:

1. Development of CMDB asset management system;

2. Development of IT audit host management system

3. Development of distributed host monitoring system.

10. Development of high-concurrency language Go

Core capabilities:

1. GO language basics;

2. Data types and file IO operations;

3. Function and object-oriented;

4. Concurrent programming.

etc.

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