The arrival of the era of big data, Python into sight; the rise of artificial intelligence, Python again concern. Python has a simple syntax, beautiful code features. Python community by virtue of a strong third-party libraries, has been widely applied to various fields go, Python is a scripting language, Python is the preferred language of artificial intelligence, is a full-stack Python development language.
Then Python learning paths, the growth path and what kind of it? Now I order a bit for everyone
Development path of Python
Python learning path
Python each stage skills
The first phase, Python basis
1, learning objectives:
able to skillfully use the technology to complete the Python programming for minor issues and the development of small game program.
2, knowledge points:
1) computer composition principle
computer part, OS classification, B / S and C / S structure, understand the difference between software and hardware
2) Python variables and development environment
strings, numbers, dictionaries, lists, Ganso etc.
3) flow control statements
program execution sequence performed sequentially repeatedly executed, performs selection
4) function
defined function, nested function calls, function, recursive function
basic operation 5) file
open file, editing, off
6) OOP
class object instance of the object, define a class, instance objects
7) exception handling
Society catch exceptions custom exception
8) modules and packages
conceptual understanding modules and packages and learn to use
9) aircraft war game create
their own independent aircraft war Games
The second phase, Python and Linux Advanced
1、学习目标：
能够使用面向对象的程序设计方法，基于Linux操作系统进行高并发量的网络程序开发。
2、知识点：
1）Linux系统应用
Linux发行版系统的使用、基本的操作语句
2）网络编程
TCP/IP协议、服务器工作过程
3）并发编程
线程、进程、协程
4）函数高级应用
熟练使用函数的调用等
5）正则表达式
熟练舒勇re模块的各种方法
6）数据库
关系型数据库、非关系型数据库、MySQL
7）Python语法进阶
闭包、装饰器、生成器、迭代器
8）mini-web服务器
根据网络服务的过程写出简易的web服务器
9）mini-web框架
可以编写简易的web服务器框架
第三阶段、前端开发
1、学习目标：
能够写出简单的HTML页面，会使用jQuery、CSS等。
2、知识点：
1）HTML的学习
HTML的文档结构、快速创建HTML方法
2）CSS
CSS的使用
3）PS的简单应用
Photoshop的基本使用、取色、图层
4）JavaScript的学习
JavaScript的基本语法
5）jQuery的学习
jQuery的使用
6）Vue框架
框架的使用以及注意点
第四阶段、Web开发
1、学习目标：
能够熟练使用Flask和Django框架进行web服务的开发。
2、知识点：
1）Flask web框架的使用
模板与表单、数据库的使用、单元测试、第三方扩展与部署、Redis缓存使用、GIT版本控制、云服务器的使用、验证码的收发、网站项目开发实战
2）Django web框架的使用
框架的使用方法、模型介绍、ORM以及数据库操作、视图以及模板、Django中间件、Django REST Framework、网站项目开发实战
第五阶段、爬虫开发
1、学习目标：
能够写出实用的爬虫项目。
2、知识点：
1）爬虫开发的知识体系与相关工具
网络爬虫的原理以及相关爬虫工具
2）MongoDB数据库
数据库的增删改查
3）Scrapy框架
框架的原理以及使用
4）定制化爬虫采集系统
数据的采集、分析
5）爬虫实战项目
实用型综合爬虫应用
第六阶段、shell自动化运维
1、学习目标：
能够熟练使用shell命令和Python脚本进行自动化运维。
2、知识点：
1）shell运维、脚本与变量
运维简介、shell简介、脚本执行方法、开发规范
2）shell常见命令进阶
表达式、linux常见符号、常见命令详解
3）shell流程控制
选择语句、循环语句、函数
4）代码发布与环境部署
掌握代码发布流程与环境部署
5）手工代码与脚本代码发布
掌握手工代码发布与脚本代码发布
第七阶段、数据挖掘与数据分析
1, learning objectives:
able to skillfully use the technology to complete the Python programming for minor issues and the development of small game program.
2, knowledge points:
1) the basic concept of
sequence tables, linked lists, stacks, queues
2) Sort index
sorted, index tree to tree algorithm
. 3) Series object
Series object, DataFrame objects, DataFrame query
4) data manipulation
operation data, access and statistics
5) Pandas drawing
skilled use Pandas
. 6) scientific computing numpy, PANDAS
numpy, PANDAS, matpalotlib, comprehensive analysis process financial data
The eighth stage, artificial intelligence
1, learning objectives:
able to skillfully use the technology to complete the Python programming for minor issues and the development of small game program.
2, knowledge points:
1) characteristics of engineering
to understand what is artificial intelligence, machine learning, deep learning and engineering features
2) supervised learning classification algorithms
familiar supervised learning classification algorithm, Scikit-learn to use
3) model selection and tuning
of available data sets, select the tuning model
4) data and multi-factor model of
multi-factor model application
5) quantitative trading strategies
to quantify the concept of transaction-related policies
6) back-tested framework
to understand backtesting framework
7) quantitative trading platform combat
on quantitative trading platform to combat project
Full set of course materials, get into the home. . .