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Why is Python easy to learn?

編輯:Python

What is? Python?

In the past 2017 In the year ,Python Developers are growing rapidly around the world , Domestic small partners learn Python Our enthusiasm has been soaring all the way . meanwhile ,PYPL Release 7 Monthly programming language index ,Python In this year 5 For the first time in the month Java Take the top of the list . Besides , As the main programming language of artificial intelligence , In the artificial intelligence tuyere has come 2018 Years and years to come ,Python Will continue to sing . According to statistics , It's Junior python The starting salary of an engineer is usually 10-15K.

Python What are the advantages of language ?

  1. Python Programming is simple and direct , Better for beginners , Let beginners focus on programming logic , Rather than being confused by obscure grammatical details .
  2. studies of the Book of Changes ,Python It's a quick start , Very low learning curve , You can learn directly through the command-line interactive environment Python Programming .
  3. free / Open source Python All content is free and open source , This means you can use it for free without spending a penny Python, And you can freely distribute copies of the software 、 Read its source code 、 Make changes to it 、 Use part of it in new free software .
  4. object-oriented Python Both support process oriented , It also supports object-oriented , This makes programming more flexible .
  5. The examination center of the Ministry of education was established in 2017 year 10 Monthly notice , It's up to 2018 year 3 Month begins , I joined in the computer examination “Python Language programming ” subject ,Python More and more popular .

The first stage :Python Programming core

Learning goals

  1. master Python Basic grammar , Have basic programming ability ;
  2. Establish programming thinking and object-oriented programming thinking ;

primary coverage

  • The principle of computer organization
  • Python development environment
  • Python Basic grammar
  • Advanced variable types
  • Add logic to the program
  • Process oriented programming
  • Object oriented programming idea
  • Conventional algorithm implementation
  • Modules and packages

The second stage :Python Advanced programming

Learning goals

  1. master Python Multi platform migration ;
  2. Master the technology of dealing with concurrency in program design , And can write network programs that support high concurrency ;
  3. Master regular expression syntax rules and Python Dealing with regular expressions re modular , It can realize complex pattern matching of strings ;
  4. master Python Use of common third-party libraries ;

primary coverage

  • Python Multi platform migration
  • Python Common third-party libraries
  • File processing and persistence
  • Network programming
  • Chat server development
  • Fundamentals of linear algebra

The third stage : database SQL

Learning goals

  1. Master the design of relational database tables ;
  2. Master the addition, deletion, modification and query of data ;
  3. master Python A library of database operations ;
  4. master MySQL Operation related technology , Proficient in writing various database operations SQL sentence , And be able to Python And MySQL Data interaction between ;

primary coverage

  • Data principle
  • Data persistence scheme
  • Mysql database
  • MongoDB database
  • Redis database

The fourth stage : The front-end development

Learning goals

  1. According to the UI Design drawings provided by the designer , Independent development Web The front page of the website ;
  2. PC Page interaction and special effects between mobile terminal and mobile terminal ;
  3. Front end page performance optimization ;

primary coverage

  • PC Actual process of end development
  • Html5 and CSS3
  • JavaScript Programming
  • DOM operation
  • JQuery The plug-in USES

The fifth stage :Web The whole development of the stack

Learning goals

  1. According to the product prototype , Independent development Web The front-end interface of the website ;
  2. According to the business flow chart , Development Web The background business of the website ;
  3. according to Web Frame design , Develop the corresponding database ;
  4. Operation and design of cache server ;
  5. Implementation of asynchronous tasks ;

primary coverage

  • Linux Server configuration
  • Python Flask Development
  • Python Django Development
  • RESTful Interface development
  • Data project development
  • Middleware development
  • Test-driven development
  • Website deployment and management
  • Implementation of asynchronous tasks

Phase 6 : Web crawlers and search engines

Learning goals

  1. Realize directional capture of massive information on the Internet ;
  2. Master the working principle and design idea of reptile ;
  3. Master the anti crawler mechanism ;
  4. Master the anti - crawler mechanism ;
  5. Master the use of crawler framework to achieve distributed crawler ;
  6. Master the mainstream crawler framework to achieve data collection ;

primary coverage

  • How reptiles work
  • Anti crawler mechanism
  • Beijing house price data crawls
  • Distributed data collection
  • Directional capture of Internet information
  • Develop a crawler collection system

The seventh stage : Data analysis

Learning goals

  1. Master the use of basic data mining tools ;
  2. Master the methods of data mining ;
  3. Deep into distributed file systems HDFS
  4. Understand the distributed resource management framework Yarn
  5. Master the distributed computing framework Spark

primary coverage

  • Data exploration
  • Data processing
  • Data visualization
  • Data statistical methods
  • Data mining and modeling
  • Model evaluation and analysis
  • Hadoop-Spark
  • Quantitative analysis of financial data
  • Beijing house price forecast
  • Water quality evaluation of water color image

The eighth stage : Artificial intelligence

Learning goals

  1. Master the basic algorithm principle of machine learning ;
  2. Master the introduction of common schools and several major elements ;
  3. Master classification 、 clustering 、 Return to 、 neural network ;
  4. Master common libraries scikit-learn;
  5. Master image recognition 、 Implementation of detection ;

primary coverage

  • machine learning sklearn
  • Logical regression
  • TensorFlow frame
  • Naive Bayes
  • Support vector machine
  • K-means Algorithm
  • Decision tree
  • CNN- Face recognition
  • RNN- Modeling language

These are the better ones at present Python Development plan and Prospect of , Let you learn Python There's a process , If you don't, you will feel dizzy .


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