What You’ll Uncover in Python 3 Deep Dive (Half 3 Hash Maps)
Dictionaries are ubiquitous in Python. Lessons are basically dictionaries, modules are dictionaries, namespaces are dictionaries… File Dimension: 9.68 GB
Python 3: Deep Dive (Half 3 – Hash Maps)
What you may study
   Associative Arrays
Hash Tables and Hash Features
Python’s implementation of hash tables
Dictionaries and Units
Defining hash capabilities for our customized courses and why that’s helpful
Creating custom-made dictionaries utilizing the UserDict class
defaultdict
OrderedDict and Python3.6+ equivalences
Counter (multi-units)
ChainMap
Serialization and Deserialization
JSON serialization/deserialization
Intro to JSONSchema, Marshmallow, PyYaml and Serpy
Get instantly obtain Python 3: Deep Dive (Half 3 – Hash Maps)
Here’s What You’ll Get in Python 3: Deep Dive (Half 3 – Hash Maps)
 
third get together libraries
Course content material
Develop all 79 lectures20:22:29
–Introduction
20:18
Course Overview
Preview
12:56
Conditions
Preview
07:22
–Associative Arrays – Concept!
50:56
Introduction
Preview
03:24
Associative Arrays
05:40
Hash Maps
24:11
Python Dictionaries
09:38
Python’s hash() Perform
08:03
–Dictionaries
03:40:43
Introduction
01:13
Creating Dictionaries – Lecture
13:08
Creating Dictionaries – Coding
24:01
Frequent Operations – Lecture
08:11
Frequent Operations – Coding
32:43
Dictionary Views – Lecture
10:41
Dictionary Views – Coding
30:12
Updating, Merging, and Copying – Lecture
12:20
Updating, Merging, and Copying – Coding
33:55
Customized Lessons and Hashing – Lecture
20:25
Customized Lessons and Hashing – Coding
33:54
–Coding Workouts
25:35
Workouts
06:21
Resolution 1
04:34
Resolution 2
02:04
Resolution 3
07:14
Resolution 4
05:22
–Units
03:16:26
Introduction
01:55
Fundamental Set Concept
12:35
Python Units
08:58
Creating Units – Lecture
03:40
Creating Units – Coding
14:45
Frequent Operations – Lecture
03:12
Frequent Operations – Coding
15:17
Set Operations – Lecture
08:00
Set Operations – Coding
20:30
Replace Operations – Lecture
06:08
Replace Operations – Coding
21:07
Copying Units – Lecture
01:13
Copying Units – Coding
08:10
Frozen Units – Lecture
06:54
Frozen Units – Coding
26:37
Dictionary Views – Lecture
09:27
Dictionary Views – Coding
27:58
–Venture 1
55:07
Venture 1 – Objectives
05:30
Venture 1 – Resolution
49:37
–Serialization and Deserialization
05:52:42
Introduction
04:29
Pickling – Lecture
05:57
Pickling – Coding
28:47
JSON Serialization – Lecture
07:22
JSON Serialization – Coding
22:29
Customized JSON Encoding – Lecture
02:30
Customized JSON Encoding – Coding
37:36
Utilizing JSONEncoder – Lecture
11:36
Utilizing JSONEncoder – Coding
34:00
Customized JSON Decoding – Lecture
16:35
Customized JSON Decoding – Coding
51:58
Utilizing JSONDecoder – Lecture
01:29
Utilizing JSONDecoder – Coding
41:00
JSON Schema
Preview
26:06
Marshmallow
33:36
PyYaml
18:16
Serpy
08:56
–Coding Workouts
57:14
Workouts
03:48
Resolution 1
15:21
Resolution 2
21:01
Resolution 3
17:04
–Specialised Dictionaries
03:32:56
Introduction
02:02
DefaultDict – Lecture
06:33
DefaultDict – Coding
30:46
OrderedDict – Lecture
03:40
OrderedDict – Coding
24:22
OrderedDict and Python 3.6 Dicts
31:44
Counter – Lecture
05:01
Counter – Coding
43:44
ChainMap – Lecture
11:08
ChainMap – Coding
Preview
22:44
UserDict – Lecture
05:34
UserDict – Coding
25:38
–Coding Workouts
30:32
Workouts
05:34
Resolution 1
05:52
Resolution 2
04:37
Resolution 3
14:29
Necessities
That is a complicated course, so a stable Python basis is important
Jupyter Notebooks
useful programming (zip, map, sorted, any, all, and many others)
lambdas, closures and interior decorators
constructed-in decorators comparable to @lru_cache, @singledispatch and @wraps
iterables, iterators, turbines and context managers
variable scopes and namespaces (globals, locals, and many others)
capacity to put in third get together libraries (e.g. pip set up)
Description
This course is an in-depth take a look at Python dictionaries.
Dictionaries are ubiquitous in Python. Lessons are basically dictionaries, modules are dictionaries, namespaces are dictionaries, units are dictionaries and lots of extra.
On this course we’ll take an in-depth take a look at:
associative arrays and the way they are often carried out utilizing hash maps
hash capabilities and the way we are able to leverage them for our personal customized courses
Python dictionaries and units and the assorted operations we are able to carry out with them
specialised dictionary constructions such as OrderedDict and the way it pertains to the constructed-in Python3.6+ dict
Python’s implementation of multi-units, the Counter class
Get instantly obtain Python 3: Deep Dive (Half 3 – Hash Maps)
   the ChainMap class
how you can create customized dictionaries by inheriting from the UserDict class
how you can serialize and deserialize dictionaries to JSON
the usage of schemas in customized JSON deserialization
a quick introduction to some helpful libraries comparable to JSONSchema, Marshmallow, PyYaml and Serpy
***** Conditions *****
Please word that this can be a comparatively superior Python course, and a robust data of some matters in Python is required.
Past the fundamentals of Python (loops, conditional statements, exception dealing with, constructed-in information varieties, creating courses, and many others), you must also have an in-depth understanding of the next matters:
capabilities and useful programming (recursion, *args, **kwargs, zip, map, sorted, any, all, and many others)
lambdas, closures and interior decorators (together with normal decorators comparable to @singledispatch, @wraps, and many others)
iterables, iterators, turbines and context managers
named tuples
variable scopes and namespaces (globals, locals, and many others)
For this course additionally, you will want to put in some third get together libraries, so you have to be comfy with doing this utilizing the instrument of your alternative (e.g. pip, conda, and many others)
Lastly, a lot of the code on this course is illustrated utilizing the freely obtainable Jupyter Notebooks, so you will want that as nicely.
Who this course is for:
Python builders who desire a deeper understanding of Python dictionaries and associated matters
IMPORTANT: This whole “Python 3: Deep Dive (Part 3 – Hash Maps)” is totally downloadable and obtainable in your account
(In case of a damaged hyperlink, we are going to renew your hyperlink shortly).
Your persistence is appreciated.
