English | MP4 | AVC 1280×720 | AAC 44KHz 2ch | 9 Hours | 3.06 GB
Learn about the exciting field of IoT with Python programming.
The Internet of Things (IoT) is a very big deal today in today’s technology driven world. For the development of an IoT solution, one would need a programming language which while being lightweight and scalable at the same time. One such is Python and we are going to learn how to implement the same with this training.
Learn about the exciting field of IoT with Python programming.
The training will include the following;
- Why Python?
- Python Setup
- Python shell
- Python datatypes & variables
- Functions in Python
- Python Built-In Functions
- Operators
- Control flow statements
- Classes in Python
- Data Structures in Python
- Exception Handling
- Modules
- Reading from and writing to Files
- Standard Python libraries
Table of Contents
Introduction
1 Introduction to Design Patterns using Python
Design Patterns
2 Various Design Patterns
3 Python Implementation
4 Singleton Pattern
5 Model View Controller Pattern
6 Factory Pattern
7 Builder Pattern
8 Builder Pattern Continue
Prototype Pattern
9 Prototype Pattern
10 Static Method
11 Facade Pattern
12 Fog Lamp Light
13 Command Pattern
14 Adapter Pattern
15 Adapter Pattern Continue
16 Decorator Pattern
Coffeeshop Class
17 Coffeeshop Class
18 Analysing Output of Coffee Shop
19 Proxy Pattern
20 Chain of Responsibility Pattern
21 Chain of Responsibility Pattern Vontinue
22 Observer Pattern
23 Subscriber and Publisher
State Design Pattern Explanation
24 State Design Pattern Explanation
25 State Design Pattern Example
26 State Design Pattern Example Continue
27 Strategy Pattern Explanation
28 Strategy Pattern Example
Pattern
29 Template Pattern
30 Template Pattern Example
31 Visitor Pattern
32 Visitor Pattern Continue
33 Visitor Pattern Example
34 Visitor Pattern Example Continue
35 Flyweight Pattern
36 Case Study to Explain Flyweight Pattern
37 Abstract Factory Pattern
Sort Implementation
38 Object Oriented Programming – Python
39 Stacks implementation Continue
40 Queues
41 Case study Iterator Pattern
42 String Serialization
43 Exception Handling
44 Quick Sort Implementation
45 Selection Sort Implementation
46 Merge Sort Implementation
47 Sets using Python
48 Sets using Python Continue
49 Dictionaries using Python
50 Lists implementation in Python
51 Stacks Implementation
Reactive Programming
52 Reactive Programming
53 Temperature Obsserver
Calculation
54 Concurrent Calculation
55 Main Method
56 Sequential Calculation
Sub Processes
57 Execution of Process Identification Number
58 Sleep Function
59 Task Scheduler
60 Sub Processes
Thread Life Cycle
61 Thread Life Cycle
62 Synchronization Between Threads
63 Synchronization Between Threads Continue
64 Joining Threads
65 Locking Mechanism
66 Rlocks
67 Bounded Semaphores
68 Daemon Process
69 Case Study Reactive Programming
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