"As a junior college student, I found out how difficult it is to counter attack after graduation."

At the beginning

I am a 19 Junior college graduate in , In turn Python Before It's at home ERP Software companies do implementation .

Believe every turn IT People who , Mostly interest driven . But I'm not , It can only be said that it is not disgusting . At first contact programming , Is a colleague , He will java , Also a little front-end . The most impressive one , There is a , He built a website himself , Then put some report data of the company on this interface to display . I felt like , Learning programming is cool . Then I don't know where I saw an article , The general idea is that if you change anyone , Take over your job , How long do you think it will take ? This article , Inspired me , It makes me think , Where to go in the future ？

I have worked in this company for about eight months , After some ideological struggle , Finally in the 17 October of , I decided to quit . This is my first job , Less than a year. , Many people think I'm crazy , Including my classmates , My best friend , Because I want to start learning Programming , Study Python. This is something they don't want to dare .

self-taught python The way

One 、Python Basic stage

The skill tree ： master python Script 、python Interface programming ability 、 database 、 Basic crawler 、 Multi thread and multi process development capability , Can be competent for basic python Development work .

Knowledge points are refined ：

1. Data storage ： Python summary 、 Base and Hexadecimal conversion 、 Original code 、 Inverse code 、 Complement code 、 first Python Program 、 Terminal reading and printing, etc .
2. Operators and expressions ： Keywords and identifiers 、 Arithmetic operator 、python data type 、 Assignment operator 、 Operator 、 Composite operators 、 Conditional control statements (if…else…)、 Logical operators, etc .
3. loop ： Loop statement of while、 Loop statement of for、break And continue Statement etc. .
4. Infrastructure ：Number And mathematical function operation 、String( lookup , Replace , Subscript indices 、 list ( Commonly used )、 Tuples 、 Dictionaries ( Commonly used )、set aggregate 、 Iterators and generators ( Commonly used )、 Function overview, etc .
5. function ： Function call 、 The definition of a simple function 、 The return value of the function 、 Pass parameters 、 Key parameters 、 Default parameters 、 Indefinite length parameter 、 Anonymous functions 、 Decorator 、 Partial function 、 Callback function 、 Scope of variable 、 Recursive function 、 Directory traversal 、 Recursively traversing directories 、 Stack simulation recursively traverses the directory ( Depth traversal )、 Queue simulation recursively traverses the directory ( Breadth traversal ) etc. .
6. modular ： Module overview using modules in the standard library using custom modules name Overview of property packages installing third party modules virtualenv Time related module .
7. object-oriented programming ： Object oriented idea 、 Classes and objects 、 Class methods and properties 、 Constructors and Destructor 、self Use 、 rewrite __ repr__ And __str__ function 、 Access restrictions etc. .
8. Inherit 、 encapsulation 、 polymorphic ： Single inheritance implementation 、 Implementation of multiple inheritance 、 Function rewriting 、 Small cases of people shooting bullets 、 polymorphic 、 Object properties and class properties 、 Class method and static method, etc .
9. Object oriented high level ： Add attribute methods dynamically 、property、 Operator overloading 、 Email and SMS, etc .
10. File operation and exception handling ： StringIO And BytesIO、 File management operation 、 File read and write (csv、txt) operation 、 Exception handling .
11. Higher order functions and tests ： debugging ( Print 、 Assertion 、logging、pdb)
12. Permutations and regular expressions ： Crack the code ( array 、 Combine 、 Permutation and combination )、 Regular expressions, etc .
13. Network programming ： TCP/IP brief introduction 、TCP Programming 、UDP Programming etc. .

Two 、Linux And database phase

The skill tree ： master Linux Operating system management technology , It can build almost all Linux Environment server .

Knowledge points are refined ：

1. Linux operating system ： Common operating systems 、 Operating system history 、 Use of the system 、Linux edition 、Linux Application field 、 Virtual machine and Vmware Installation 、Linux Version and Ubuntu 16.04、 Configure your own Linux System 、 Programming IDE Installation 、apt-get Install package .
2. File system and user management ： Directory Access 、 File and directory management 、 File permissions 、 User management .
3. Text operation command ： Text command 、 Text editor Vi/Vim.
4. Network command 、 Process management and service configuration ： Network management command 、 System catalog 、 Important system files 、 Set boot and login boot 、IP To configure 、 Service start stop 、 Firewall configuration .
5. Shell Programming with bash、 Source file compilation ： Basics IO operation 、 Process control 、 Define variables and environment variables 、 Script parameters 、 Timing task 、 Timing system operation .
6. version control ： Git Installation and configuration 、GitHub Registration and use of 、Clone And Fork、Git Common commands 、 label 、 Branches and sources 、 Multi person collaborative development .
7. MySQL Basic use ： MySQL Installation 、MySQL brief introduction 、MySQL Basic command scripts 、MySQL And Python Interaction .
8. MongoDB Basic use of ： MongoDB install 、MongoDB Basic operation .
9. Redis Basic use of ： Redis install 、Redis Basic operation 、Redis Data type of 、Redis Backup and recovery of .

3、 ... and 、Python web Development

The skill tree ： master Python Back end framework , Solve the front and back end Web Development issues .

Knowledge points are refined ：

1. HelloDjango： BS/CS,MVC/MTV、Django Request flow 、Admin management .
2. Models：ORM、 Model field properties 、CRUD、 Aggregate functions ,F,Q object .
3. Models&Templates： Model correspondence 、 Template loading 、 Static resources 、 Template syntax .
4. Views： Routing rules 、 Reverse DNS 、 Request and response 、 Conversational Technology cookie,token,ses-sion、 Upload files .
5. Advanced： Verification Code 、 Pager 、 Class view 、 middleware 、 journal 、 cache 、 The signal 、Cerlery、 User permissions , User roles .
6. RESTful： REST Concept 、HelloREST、 Data serialization 、 Request and response 、 View , converter 、 Relationship , Hyperlinks 、 Authentication and authority .

Knowledge points are refined ：

1. HelloFlask： Flask Introduce 、Flask request 、Flask MTV Split 、Flask-Script.
2. Views： Flask Blueprint、 Routing rules 、 Error handling 、 Request and response .
3. Templates&Models： Static resources 、 Template loading 、 Template syntax 、ORM、Flask-SQLAlchemy.
4. Modesl： Flask-Migrate、CRUD、 Model relationship 、 backreferences .
5. Extension： Flask-Cache、Flask-Login、Flask- RESTful、Flask- Bootstrap、Flask-Upload.
6. Program： Demand analysis 、 Project design 、 Basic framework construction 、 modeling .

Four 、Python Reptile stage

The skill tree ： Master the distributed multithreaded large crawler technology , Can develop enterprise class crawler program .

1. Multithreading principle ： Synchronous and asynchronous 、 Concatenation and concurrency 、 Threads 、 Open up a thread 、 Thread safety and thread lock 、 Multithreaded queue .
2. coroutines ： The limitations of threads 、 The definition and principle of coprocessing 、 Implementation of coroutine .
3. The concept of reptile and related tools ： The concept and function of reptile 、HTTP Protocol principle 、 Installation of tools 、 Use .
4. Python http libs： urllib Use 、 Example requests Library usage 、bs4 Library usage 、xpath grammar .
5. Reptile battle ： Use requests To write - A simple reptile 、 reform requests The crawler is a multithreaded version 、 utilize redis Transform the multithreaded version of crawler to distributed .
6. scrapy frame ： scrapy install 、 Create project 、 establish spider file , To write parse Method 、scrapy Sons command 、 function scrapy Crawler program 、 Command line passing parameters 、 Further analysis of the secondary page 、parse Method 、 export json、Csv Formatted data 、scrapy The state of the crawler is saved 、item The definition of 、item Use 、pipeline Use 、 Use pipeline take items Store in MySQ、Lscrapy The overall architecture 、downloadermiddleware、 Use downloadermiddleware Realization IP Agent pool 、spidermiddleware、scrapy plug-in unit 、scrapy-redis.
7. Quantitative trading ： Automated trading theory 、Python Quantitative trading framework .

5、 ... and 、Python Machine learning stage

The skill tree ： master Python Data mining analysis , Getting started with AI .

Knowledge points are refined ：

1. jupyter introduction ：jupyter Software installation 、jupyter introduction 、numpy Study .
2. pandas： pandas introduction 、pandas-Series、pandas Data loss 、pandas Indexes 、pandas Data processing 、 be based on Pandas Face recognition technology based on .
3. **scipy：**scipy Study
4. matpoltlib： The concept of data visualization 、 The drawing of visual chart 、 Animation and interactive rendering 、 Data merging and grouping .
5. KNN： Proximity algorithm 、 Preprocessing 、KNN Correlation function .
6. Linear regression and logistic regression ： Linear regression 、 Logistic returns .
7. Decision trees and Bayes ： Bayesian learning 、 Decision tree learning .
8. SVM And K Mean clustering ： SVC Study
9. Kmeans： Kmeans Study
10. Machine learning framework TensorFlow： machine learning 、 Weight distribution and optimization scheme 、 Deep learning 、 Automated neural networks 、AI The description of the network .
11. Natural language processing and social network processing ： Text data processing 、 Natural language processing and NLTK、 Theme model 、LDA、 An introduction to graph theory 、 Network operation and data visualization .

python Resource sharing

Learn from good examples Python Whether it's employment or sideline, it's good to make money , But learn to Python Still have a learning plan . Finally, let's share a complete set of Python Learning materials , For those who want to learn Python Let's have a little help ！（ At the end of the article, there are free ways , Guarantee 100% free ）

One 、Python Learning routes in all directions

Python All directions are Python Sort out the common technical points , Form a summary of knowledge points in various fields , The use of it is , You can find the corresponding learning resources according to the above knowledge points , Make sure you learn more comprehensively .

Two 、 Learning software

If a worker wants to do a good job, he must sharpen his tools first . Study Python Common development software is here , It saves you a lot of time .

3、 ... and 、 full set PDF e-book

The advantage of books lies in authority and sound system , When you start learning, you can just watch videos or listen to someone , But when you're done , You think you've mastered , At this time, it is suggested to read books , Reading authoritative technical books is also the only way for every programmer .

Four 、 Getting started video

When we were watching videos to learn , You can't just move your eyes and brain without hands , A more scientific way to learn is to use them after understanding , At this time, the hand training program is very suitable .

5、 ... and 、 Practical cases

Optical theory is useless , Learn to knock together , Do it , Can you apply what you have learned to practice , At this time, we can make some practical cases to learn .

6、 ... and 、 Interview information

We learn Python Must be to find a well paid job , The following interview questions are from Ali 、 tencent 、 The latest interview materials of big Internet companies such as byte , And the leader Ali gave an authoritative answer , After brushing this set of interview materials, I believe everyone can find a satisfactory job .

For reasons of length , This is not going to unfold one by one , Friends, if you need a full set of 《python From entry to mastery 》, give the thumbs-up + Comment on ： introduction that will do , I'll always reply ！