python之学习路线图
The Glossary is also worth going through.[*] 1. Whetting Your Appetite
[*] 2. Using the Python Interpreter
[*] 2.2.1. Source Code Encoding
[*] 2.1.1. Argument Passing
[*] 2.1.2. Interactive Mode
[*] 2.1. Invoking the Interpreter
[*] 2.2. The Interpreter and Its Environment
[*] 3. An Informal Introduction to Python
[*] 3.1.1. Numbers
[*] 3.1.2. Strings
[*] 3.1.3. Unicode Strings
[*] 3.1.4. Lists
[*] 3.1. Using Python as a Calculator
[*] 3.2. First Steps Towards Programming
[*] 4. More Control Flow Tools
[*] 4.7.1. Default Argument Values
[*] 4.7.2. Keyword Arguments
[*] 4.7.3. Arbitrary Argument Lists
[*] 4.7.4. Unpacking Argument Lists
[*] 4.7.5. Lambda Expressions
[*] 4.7.6. Documentation Strings
[*] 4.1. if Statements
[*] 4.2. for Statements
[*] 4.3. The range() Function
[*] 4.4. break and continue Statements, and else Clauses on Loops
[*] 4.5. pass Statements
[*] 4.6. Defining Functions
[*] 4.7. More on Defining Functions
[*] 4.8. Intermezzo: Coding Style
[*] 5. Data Structures
[*] 5.1.1. Using Lists as Stacks
[*] 5.1.2. Using Lists as Queues
[*] 5.1.3. Functional Programming Tools
[*] 5.1.4. List Comprehensions
[*] 5.1.4.1. Nested List Comprehensions
[*] 5.1. More on Lists
[*] 5.2. The del statement
[*] 5.3. Tuples and Sequences
[*] 5.4. Sets
[*] 5.5. Dictionaries
[*] 5.6. Looping Techniques
[*] 5.7. More on Conditions
[*] 5.8. Comparing Sequences and Other Types
[*] 6. Modules
[*] 6.4.1. Importing * From a Package
[*] 6.4.2. Intra-package References
[*] 6.4.3. Packages in Multiple Directories
[*] 6.1.1. Executing modules as scripts
[*] 6.1.2. The Module Search Path
[*] 6.1.3. “Compiled” Python files
[*] 6.1. More on Modules
[*] 6.2. Standard Modules
[*] 6.3. The dir() Function
[*] 6.4. Packages
[*] 7. Input and Output
[*] 7.2.1. Methods of File Objects
[*] 7.2.2. Saving structured data with json
[*] 7.1.1. Old string formatting
[*] 7.1. Fancier Output Formatting
[*] 7.2. Reading and Writing Files
[*] 8. Errors and Exceptions
[*] 8.1. Syntax Errors
[*] 8.2. Exceptions
[*] 8.3. Handling Exceptions
[*] 8.4. Raising Exceptions
[*] 8.5. User-defined Exceptions
[*] 8.6. Defining Clean-up Actions
[*] 8.7. Predefined Clean-up Actions
[*]
9.>
[*] 9.5.1. Multiple Inheritance
[*]
9.3.1.>
[*]
9.3.2.>
[*] 9.3.3. Instance Objects
[*] 9.3.4. Method Objects
[*]
9.3.5.>
[*] 9.1. A Word About Names and Objects
[*] 9.2. Python Scopes and Namespaces
[*]
9.3. A First Look at>
[*] 9.4. Random Remarks
[*] 9.5. Inheritance
[*]
9.6. Private Variables and>
[*] 9.7. Odds and Ends
[*]
9.8. Exceptions Are>
[*] 9.9. Iterators
[*] 9.10. Generators
[*] 9.11. Generator Expressions
[*] 10. Brief Tour of the Standard Library
[*] 10.1. Operating System Interface
[*] 10.2. File Wildcards
[*] 10.3. Command Line Arguments
[*] 10.4. Error Output Redirection and Program Termination
[*] 10.5. String Pattern Matching
[*] 10.6. Mathematics
[*] 10.7. Internet Access
[*] 10.8. Dates and Times
[*] 10.9. Data Compression
[*] 10.10. Performance Measurement
[*] 10.11. Quality Control
[*] 10.12. Batteries Included
[*] 11. Brief Tour of the Standard Library — Part II
[*] 11.1. Output Formatting
[*] 11.2. Templating
[*] 11.3. Working with Binary Data Record Layouts
[*] 11.4. Multi-threading
[*] 11.5. Logging
[*] 11.6. Weak References
[*] 11.7. Tools for Working with Lists
[*] 11.8. Decimal Floating Point Arithmetic
[*] 12. What Now?
[*] 13. Interactive Input Editing and History Substitution
[*] 13.1. Line Editing
[*] 13.2. History Substitution
[*] 13.3. Key Bindings
[*]
13.4.>
[*] 14. Floating Point Arithmetic: Issues and Limitations
[*] 14.1. Representation Error
[*] 15. Appendix
[*] 15.1.1. Error Handling
[*] 15.1.2. Executable Python Scripts
[*] 15.1.3. The Interactive Startup File
[*] 15.1.4. The Customization Modules
[*] 15.1. Interactive Mode
https://github.com/yidao620c/python3-cookbook
http://docs.python-guide.org/en/latest/
https://github.com/kennethreitz/python-guide
https://www.liaoxuefeng.com/wiki/0014316089557264a6b348958f449949df42a6d3a2e542c000
廖雪峰python学习 http://www.afterhoursprogramming.com/tutorial/Python/Overview/
https://www.udemy.com/learn-python/?siteID=2mhs2G02AJA-1GR8uCY4V58FBzVJIaAtzA&LSNPUBID=2mhs2G02AJA
http://www.learnpython.org/
https://docs.python.org/2/tutorial/
初级云运维工程师的技能图谱
数据结构相关话题 Python 内置类型使用技巧
Python 标准库中的常用的数据结构
（nametuple, ordereddict, dequeue)
迭代器与生成器的相关话题 Python 迭代协议， 可迭代对象，迭代器，生成器
如何反向迭代
如何在迭代器上使用切片
字符串处理相关话题 字符串分割， 拼接
字符串替换
字符串对齐
文件I/O操作相关话题 文本文件， 二进制文件的基本读写
文件缓冲区设置， 文件内存映射
文件状态访问， 临时文件使用
数据编码与处理相关话题 wav音频文件解析器
处理几种常见数据格式的文件
类与对象相关话题 音频录制+ 语音识别
使用propery 或描述符创建实例属性
使用weakref处理环状数据结构的内存管理问题
多线程与多进程相关话题 简单Telnet 客户端
在Python 中如何使用多线程和多进程
Python中GIL锁的存在对选择的并发编程模型的影响
装饰器相关话题 web 视频监控服务器
各种方式来定义装饰器
（函数，实例方法，类）
项目实战
http://vv.shiguangkey.com/a/it/python/list_26_2.html
https://github.com/robot527/python_primer
Python 自动化运维篇
http://www.imooc.com/learn/853
Python 全栈案例初体验
http://www.imooc.com/video/15379
Python 玩嗨
http://www.imooc.com/course/programdetail/pid/52
Python 入门
http://www.imooc.com/learn/177
Python 进阶
http://www.imooc.com/learn/317
django入门与实践
http://www.imooc.com/learn/790
python 走进request库
http://www.imooc.com/learn/736
Python 技巧总结
http://litaotao.github.io/python-materials
python 文件处理
http://www.imooc.com/learn/416
中级
python 开发简单爬虫
http://www.imooc.com/learn/563
Python 面向对象
http://www.imooc.com/learn/747
python 操作数据库
http://www.imooc.com/learn/475
python 的异常与错误
http://www.imooc.com/learn/457
python正则表达式
http://www.imooc.com/learn/550
高级
Python 装饰器
http://www.imooc.com/learn/581
资深
Python 预见数据采集
http://www.imooc.com/learn/712
python 数据分析
http://www.imooc.com/learn/843
python 在数据科学中的应用
http://www.imooc.com/learn/727
https://hackr.io/
页:
[1]