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This article brings you a summary of the Python learning roadmap. It has certain reference value. Friends in need can refer to it. I hope it will be helpful to you.
How to learn Python
For Python learning enthusiasts, a good learning context is particularly important, which can make learning more effective with half the effort. If you also want to learn python technology systematically, you can take a look at the learning roadmap that the editor has been using. I personally tested it and the effect is good.
(2) Judgment/loop statements, functions,
(3) Classes and objects, inheritance, polymorphism
(4) Tkinter interface programming
(5) Files and exceptions, introduction to data processing
(6)Pygame actual aircraft battle
(2) Object-oriented, Python regular expression
(3) Job hunting data crawler, financial data crawler, multi-threaded crawler
(4) Python thread, process
(5) Python mysql database Application, Nosql database, sql, jython
(2) Web page Interface design practice
(3) javaScript ajax
(4) jquerry
(5) jquerry EasyUI, Mobile introduction, photoshop
(6) Bootstrap
(2) Advanced Django
(3) Django practice
(4) Flask development principles
(5) Flask development project practice
(6) Tornado development principle
(7) Tornado development project practice
(2)linux server installation and configuration
(3)apache server and nginx server installation and use
(4)linux common server commands
(5)Python-WEB server operating environment and configuration
(6)Version management tool svn
(7)Version management tool git
(8)Program deployment and website migration
(2) Linux operation and maintenance alarm tool development
(3) Linux operation and maintenance alarm security Audit development
(4) Linux business quality report tool development
(5) Kali security detection tool detection
(6) Kali password cracking practice
(2) pandas data analysis
(3) matplotlib data visualization
(4) scipy data statistical analysis
(5) python financial data analysis
(2) python Hadoop MapReduce
(3) python Spark core
(4) python Spark SQL
(5) python Spark MLlib
(2) KNN algorithm
(3) Linear regression
(4) Logistic regression algorithm
(5) Decision tree Algorithm
(6) Naive Bayes algorithm
(7) Support vector machine
(8) Clustering k-means algorithm
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