Learn Python !

 Python® Notes for Professionals book

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Chapters:

1.     Getting started with Python Language

2. Python Data Types

3. Indentation

4. Comments and Documentation

5. Date and Time

6. Date Formatting

7. Enum

8. Set

9. Simple Mathematical Operators

10. Bitwise Operators

11. Boolean Operators

12. Operator Precedence

13. Variable Scope and Binding

14. Conditionals

15. Comparisons

16. Loops

17. Arrays

18. Multidimensional arrays

19. Dictionary

20. List

21. List comprehensions

22. List slicing (selecting parts of lists)

23. groupby()

24. Linked lists

25. Linked List Node

26. Filter

27. Heapq

28. Tuple

29. Basic Input and Output

30. Files & Folders I/O

31. os.path

32. Iterables and Iterators

33. Functions

34. Defining functions with list arguments

35. Functional Programming in Python

36. Partial functions

37. Decorators

38. Classes

39. Metaclasses

40. String Formatting

41. String Methods

42. Using loops within functions

43. Importing modules

44. Difference between Module and Package

45. Math Module

46. Complex math

47. Collections module

48. Operator module

49. JSON Module

50. Sqlite3 Module

51. The os Module

52. The locale Module

53. Itertools Module

54. Asyncio Module

55. Random module

56. Functools Module

57. The dis module

58. The base64 Module

59. Queue Module

60. Deque Module

61. Webbrowser Module

62. tkinter

63. pyautogui module

64. Indexing and Slicing

65. Plotting with Matplotlib

66. graph-tool

67. Generators

68. Reduce

69. Map Function

70. Exponentiation

71. Searching

72. Sorting, Minimum and Maximum

73. Counting

74. The Print Function

75. Regular Expressions (Regex)

76. Copying data

77. Context Managers (“with” Statement)

78. The __name__ special variable

79. Checking Path Existence and Permissions

80. Creating Python packages

81. Usage of "pip" module: PyPI Package Manager

82. pip: PyPI Package Manager

83. Parsing Command Line arguments

84. Subprocess Library

85. setup.py

86. Recursion

87. Type Hints

88. Exceptions

89. Raise Custom Errors / Exceptions

90. Commonwealth Exceptions

91. urllib

92. Web scraping with Python

93. HTML Parsing

94. Manipulating XML

95. Python Requests Post

96. Distribution

97. Property Objects

98. Overloading

99. Polymorphism

100. Method Overriding

101. User-Defined Methods

102. String representations of class instances: __str__ and __repr__ methods

103. Debugging

104. Reading and Writing CSV

105. Writing to CSV from String or List

106. Dynamic code execution with `exec` and `eval`

107. PyInstaller - Distributing Python Code

108. Data Visualization with Python

109. The Interpreter (Command Line Console)

110. *args and **kwargs

111. Garbage Collection

112. Pickle data serialisation

113. Binary Data

114. Idioms

115. Data Serialization

116. Multiprocessing

117. Multithreading

118. Processes and Threads

119. Python concurrency

120. Parallel computation

121. Sockets

122. Websockets

123. Sockets And Message Encryption/Decryption Between Client and Server

124. Python Networking

125. Python HTTP Server

126. Flask

127. Introduction to RabbitMQ using AMQPStorm

128. Descriptor

129. tempfile NamedTemporaryFile

130. Input, Subset and Output External Data Files using Pandas

131. Unzipping Files

132. Working with ZIP archives

133. Getting start with GZip

134. Stack

135. Working around the Global Interpreter Lock (GIL)

136. Deployment

137. Logging

138. Web Server Gateway Interface (WSGI)

139. Python Server Sent Events

140. Alternatives to switch statement from other languages

141. List destructuring (aka packing and unpacking)

142. Accessing Python source code and bytecode

143. Mixins

144. Attribute Access

145. ArcPy

146. Abstract Base Classes (abc)

147. Plugin and Extension Classes

148. Immutable datatypes(int, float, str, tuple and frozensets)

149. Incompatibilities moving from Python 2 to Python 3

150. 2to3 tool

151. Non-official Python implementations

152. Abstract syntax tree

153. Unicode and bytes

154. Python Serial Communication (pyserial)

155. Neo4j and Cypher using Py2Neo

156. Basic Curses with Python

157. Templates in python

158. Pillow

159. The pass statement

160. CLI subcommands with precise help output

161. Database Access

162. Connecting Python to SQL Server

163. PostgreSQL

164. Python and Excel

165. Turtle Graphics

166. Python Persistence

167. Design Patterns

168. hashlib

169. Creating a Windows service using Python

170. Mutable vs Immutable (and Hashable) in Python

171. configparser

172. Optical Character Recognition

173. Virtual environments

174. Python Virtual Environment - virtualenv

175. Virtual environment with virtualenvwrapper

176. Create virtual environment with virtualenvwrapper in windows

177. sys

178. ChemPy - python package

179. pygame

180. Pyglet

181. Audio

182. pyaudio

183. shelve

184. IoT Programming with Python and Raspberry PI

185. kivy - Cross-platform Python Framework for NUI Development

186. Pandas Transform: Preform operations on groups and concatenate the results

187. Similarities in syntax, Differences in meaning: Python vs. JavaScript

188. Call Python from C#

189. ctypes

190. Writing extensions

191. Python Lex-Yacc

192. Unit Testing

193. py.test

194. Profiling

195. Python speed of program

196. Performance optimization

197. Security and Cryptography

198. Secure Shell Connection in Python

199. Python Anti-Patterns

200. Common Pitfalls

201. Hidden Features