Python 3: Deep Dive (Part 3 – Dictionaries, Sets, JSON)
Python 3: Deep Dive (Part 3 – Dictionaries, Sets, JSON), available at $124.99, has an average rating of 4.84, with 85 lectures, based on 1704 reviews, and has 28128 subscribers.
You will learn about 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 This course is ideal for individuals who are Python developers who want a deeper understanding of Python dictionaries and related topics It is particularly useful for Python developers who want a deeper understanding of Python dictionaries and related topics.
Enroll now: Python 3: Deep Dive (Part 3 – Dictionaries, Sets, JSON)
Summary
Title: Python 3: Deep Dive (Part 3 – Dictionaries, Sets, JSON)
Price: $124.99
Average Rating: 4.84
Number of Lectures: 85
Number of Published Lectures: 85
Number of Curriculum Items: 85
Number of Published Curriculum Objects: 85
Original Price: $199.99
Quality Status: approved
Status: Live
What You Will 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
Who Should Attend
- Python developers who want a deeper understanding of Python dictionaries and related topics
Target Audiences
- Python developers who want a deeper understanding of Python dictionaries and related topics
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:
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associative arrays and how they can be implemented using hash maps
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hash functions and how we can leverage them for our own custom classes
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Python dictionaries and sets and the various operations we can perform with them
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specialized dictionary structures such as OrderedDict and how it relates to the built-in Python3.6+ dict
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Python’s implementation of multi-sets, the Counter class
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the ChainMap class
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how to create custom dictionaries by inheriting from the UserDict class
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how to serialize and deserialize dictionaries to JSON
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the use of schemas in custom JSON deserialization
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a brief introduction to some useful libraries such as JSONSchema, 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:
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functions and functional programming (recursion, *args, **kwargs, zip, map, sorted, any, all, etc)
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lambdas, closures and decorators (including standard decorators such as @singledispatch, @wraps, etc)
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iterables, iterators, generators and context managers
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named tuples
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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.
Course Curriculum
Chapter 1: Introduction
Lecture 1: Course Overview
Lecture 2: Prerequisites
Lecture 3: Course Slides
Chapter 2: Associative Arrays – Theory!
Lecture 1: Introduction
Lecture 2: Associative Arrays
Lecture 3: Hash Maps
Lecture 4: Python Dictionaries
Lecture 5: Python's hash() Function
Chapter 3: Dictionaries
Lecture 1: Introduction
Lecture 2: Creating Dictionaries – Lecture
Lecture 3: Creating Dictionaries – Coding
Lecture 4: Common Operations – Lecture
Lecture 5: Common Operations – Coding
Lecture 6: Dictionary Views – Lecture
Lecture 7: Dictionary Views – Coding
Lecture 8: Updating, Merging, and Copying – Lecture
Lecture 9: Updating, Merging, and Copying – Coding
Lecture 10: Custom Classes and Hashing – Lecture
Lecture 11: Custom Classes and Hashing – Coding
Chapter 4: Coding Exercises
Lecture 1: Exercises
Lecture 2: Solution 1
Lecture 3: Solution 2
Lecture 4: Solution 3
Lecture 5: Solution 4
Chapter 5: Sets
Lecture 1: Introduction
Lecture 2: Basic Set Theory
Lecture 3: Python Sets
Lecture 4: Creating Sets – Lecture
Lecture 5: Creating Sets – Coding
Lecture 6: Common Operations – Lecture
Lecture 7: Common Operations – Coding
Lecture 8: Set Operations – Lecture
Lecture 9: Set Operations – Coding
Lecture 10: Update Operations – Lecture
Lecture 11: Update Operations – Coding
Lecture 12: Copying Sets – Lecture
Lecture 13: Copying Sets – Coding
Lecture 14: Frozen Sets – Lecture
Lecture 15: Frozen Sets – Coding
Lecture 16: Dictionary Views – Lecture
Lecture 17: Dictionary Views – Coding
Chapter 6: Project 1
Lecture 1: Project 1 – Goals
Lecture 2: Project 1 – Solution
Chapter 7: Serialization and Deserialization
Lecture 1: Introduction
Lecture 2: Pickling – Lecture
Lecture 3: Pickling – Coding
Lecture 4: JSON Serialization – Lecture
Lecture 5: JSON Serialization – Coding
Lecture 6: Custom JSON Encoding – Lecture
Lecture 7: Custom JSON Encoding – Coding
Lecture 8: Using JSONEncoder – Lecture
Lecture 9: Using JSONEncoder – Coding
Lecture 10: Custom JSON Decoding – Lecture
Lecture 11: Custom JSON Decoding – Coding
Lecture 12: Using JSONDecoder – Lecture
Lecture 13: Using JSONDecoder – Coding
Lecture 14: JSON Schema
Lecture 15: Marshmallow –> Archived
Lecture 16: PyYaml
Lecture 17: Serpy
Chapter 8: Coding Exercises
Lecture 1: Exercises
Lecture 2: Solution 1
Lecture 3: Solution 2
Lecture 4: Solution 3
Chapter 9: Specialized Dictionaries
Lecture 1: Introduction
Lecture 2: DefaultDict – Lecture
Lecture 3: DefaultDict – Coding
Lecture 4: OrderedDict – Lecture
Lecture 5: OrderedDict – Coding
Lecture 6: OrderedDict and Python 3.6 Dicts
Lecture 7: Counter – Lecture
Lecture 8: Counter – Coding
Lecture 9: ChainMap – Lecture
Lecture 10: ChainMap – Coding
Lecture 11: UserDict – Lecture
Lecture 12: UserDict – Coding
Chapter 10: Coding Exercises
Lecture 1: Exercises
Lecture 2: Solution 1
Lecture 3: Solution 2
Lecture 4: Solution 3
Chapter 11: Python Updates
Lecture 1: Python 3.10
Lecture 2: Python 3.9
Lecture 3: Python 3.8 / 3.7
Chapter 12: Extras
Lecture 1: The MappingProxy Type
Lecture 2: Marshmallow
Instructors
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Dr. Fred Baptiste
Software Engineer and Mathematician
Rating Distribution
- 1 stars: 1 votes
- 2 stars: 2 votes
- 3 stars: 31 votes
- 4 stars: 312 votes
- 5 stars: 1358 votes
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