Subcategories

Udemy - Python 3: Deep Dive (Part 3 - Hash Maps)

Posted By: ParRus
Udemy - Python 3: Deep Dive (Part 3 - Hash Maps)

Udemy - Python 3: Deep Dive (Part 3 - Hash Maps)
WEBRip | English | MP4 + Project Files | 1280 x 720 | AVC ~1122 Kbps | 30 fps
AAC | 128 Kbps | 44.1 KHz | 2 channels | ~20.5 hours | 9.67 GB
Genre: Video Tutorial / Programming

Dictionaries, Sets, and Related Data Structures
What you'll learn
Associative Arrays
Hash Tables and Hash Functions
Python's implementation of hash tables
Dictionaries and Sets
Defining hash functions for our custom classes and why that is useful
Creating customized dictionaries using the UserDict class
defaultdict
OrderedDict and Python3.6+ equivalences
Counter (multi-sets)
ChainMap
Serialization and Deserialization
JSON serialization/deserialization
Intro to JSONSchema, Marshmallow, PyYaml and Serpy 3rd party libraries

Requirements
This is an advanced course, so a solid Python foundation is necessary
Jupyter Notebooks
functional programming (zip, map, sorted, any, all, etc)
lambdas, closures and decorators
built-in decorators such as @lru_cache, @singledispatch and @wraps
iterables, iterators, generators and context managers
variable scopes and namespaces (globals, locals, etc)
ability to install 3rd party libraries (e.g. pip install)

Description
This course is an in-depth look at Python dictionaries.

Dictionaries are ubiquitous in Python. Classes are essentially dictionaries, modules are dictionaries, namespaces are dictionaries, sets are dictionaries and many more.

In this course we'll take an in-depth look at:

associative arrays and how they can be implemented using hash maps

hash functions and how we can leverage them for our own custom classes

Python dictionaries and sets and the various operations we can perform with them

specialized dictionary structures such as OrderedDict and how it relates to the built-in Python3.6+ dict

Python's implementation of multi-sets, the Counter class

the ChainMap class

how to create custom dictionaries by inheriting from the UserDict class

how to serialize and deserialize dictionaries to JSON

the use of schemas in custom JSON deserialization

a brief introduction to some useful libraries such as JSONSchema, Marshmallow, PyYaml and Serpy


***** Prerequisites *****

Please note that this is a relatively advanced Python course, and a strong knowledge of some topics in Python is required.

Beyond the basics of Python (loops, conditional statements, exception handling, built-in data types, creating classes, etc), you should also have an in-depth understanding of the following topics:

functions and functional programming (recursion, *args, **kwargs, zip, map, sorted, any, all, etc)

lambdas, closures and decorators (including standard decorators such as @singledispatch, @wraps, etc)

iterables, iterators, generators and context managers

named tuples

variable scopes and namespaces (globals, locals, etc)

For this course you will also need to install some 3rd party libraries, so you need to be comfortable with doing this using the tool of your choice (e.g. pip, conda, etc)

Finally, most of the code in this course is illustrated using the freely available Jupyter Notebooks, so you will need that as well.

Who this course is for:
Python developers who want a deeper understanding of Python dictionaries and related topics

also You can find my other useful: programming-posts

General
Complete name : 1. Exercises4.mp4
Format : MPEG-4
Format profile : Base Media
Codec ID : isom (isom/iso2/avc1/mp41)
File size : 57.1 MiB
Duration : 6 min 21 s
Overall bit rate : 1 257 kb/s
Writing application : Lavf58.13.102

Video
ID : 1
Format : AVC
Format/Info : Advanced Video Codec
Format profile : Main@L4.1
Format settings : CABAC / 1 Ref Frames
Format settings, CABAC : Yes
Format settings, RefFrames : 1 frame
Format settings, GOP : M=1, N=12
Codec ID : avc1
Codec ID/Info : Advanced Video Coding
Duration : 6 min 21 s
Bit rate : 1 122 kb/s
Width : 1 280 pixels
Height : 720 pixels
Display aspect ratio : 16:9
Frame rate mode : Constant
Frame rate : 30.000 FPS
Color space : YUV
Chroma subsampling : 4:2:0
Bit depth : 8 bits
Scan type : Progressive
Bits/(Pixel*Frame) : 0.041
Stream size : 51.0 MiB (89%)

Audio
ID : 2
Format : AAC
Format/Info : Advanced Audio Codec
Format profile : LC
Codec ID : mp4a-40-2
Duration : 6 min 21 s
Bit rate mode : Constant
Bit rate : 128 kb/s
Channel(s) : 2 channels
Channel positions : Front: L R
Sampling rate : 44.1 kHz
Frame rate : 43.066 FPS (1024 SPF)
Compression mode : Lossy
Stream size : 5.82 MiB (10%)
Default : Yes
Alternate group : 1

Screenshots

Udemy - Python 3: Deep Dive (Part 3 - Hash Maps)

Udemy - Python 3: Deep Dive (Part 3 - Hash Maps)

Udemy - Python 3: Deep Dive (Part 3 - Hash Maps)

Udemy - Python 3: Deep Dive (Part 3 - Hash Maps)

✅ Exclusive eLearning Videos ParRus-blogadd to bookmarks

Feel free to contact me PM
when links are dead or want any repost

Udemy - Python 3: Deep Dive (Part 3 - Hash Maps)