Description
Python 3: Deep Learning (Part 3 – Hash Maps) The third installment in a learning set and published by the site, Udemy is the fully trainable Python programming language. The series is presented in 4 sections and brings together advanced topics for professional Python programmers. Python is a high-level language with many learning capabilities that require lots of practice and study. This course focuses entirely on your Python language and questions that may arise while coding. This is set at the intermediate to advanced level provided and requires knowledge of basic Python language contains variables etc, if and else etc. simple list and dictionary, define functions, etc. to import standard modules define the elementary class.
In the third part of the course, dictionaries and collections are discussed and relational data structures are taught. In this section, take an in-depth look at arrays, hybrids, and how to implement them with maps, hashes, and more. hash functions and take advantage of it to create classes, personal dictionary for specified purposes, such as OrderedDict and its relationship to dictionary, interior, Python, etc. implements sets in several Python and output the dictionary in series by converting to JSON and vice versa is also a slight knowledge of libraries such as JSONSchema, and marshmallow will be provided. the Fourth part of the series also teaches more advanced topics and tips. It should be noted that the mastery of certain themes of the first and second part of the series is required for this course.
Cases in which the course is taught:
Related tables
Hash tables and functions
Dictionaries and sets
Building custom dictionaries with the userdict class
Python equivalent3. 6+ and OrderedDict
Discover the jsonSchema, Marshmallow, Pyyaml and Serpy libraries
Chainmap training
And …
Features of Python 3: Deep Dive (Part 3 – Hash Maps):
French language
Duration: 20h 28m
Number of lessons: 80 lessons in 10 sections
Level of education: intermediate
Teacher: Fred Baptist
File format: mp4
Featured course:
Prerequisite course
- This is an advanced course, so a solid foundation in Python is required
- 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 (global, local, etc.)
- ability to install third-party libraries (e.g. pip install)
Pictures
Movie sample
Installation guide
After extracting with the player, your custom view.
Subtitle: no (corresponding to the photo)
Quality: 1080p
Course changes:
Version 2020/11 Compared to version 2019/8, the number of 1 lessons of 6 minutes has increased and the quality of the course has been increased to 1080.
Download link
Password file(s): ngaur.com
File size
12.3 GB