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

https://cdn.shopify.com/s/files/1/0298/0039/8988/files/PythonNotesForProfessionals.pdf?847