Effective Serialization with Python

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Miki Tebeka

1:12:03

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01 - Introduction

01 - Serialization with Python.mp4

01:14

02 - What you should know.mp4

00:19

03 - Accessing the exercise files on GitHub.mp4

00:29

02 - 1. Serialization Overview

01 - Why do we need serialization.mp4

01:39

02 - Picking a serialization format.mp4

03:34

03 - General serialization rules.mp4

02:24

04 - Serialization formats overview.mp4

04:04

03 - 2. Python Specific Serialization Formats

01 - Marshal and pickle serialization.mp4

05:35

02 - Serialization with repr.mp4

03:46

03 - Using eval and exec for serialization.mp4

02:52

04 - Challenge repr and read pickle.mp4

00:27

05 - Solution repr and read pickle.mp4

01:04

04 - 3. JSON Serialization

01 - Basic JSON serialization.mp4

02:49

02 - Serializing custom types to JSON.mp4

02:58

03 - Streaming JSON.mp4

02:14

04 - Challenge Convert log records to JSON.mp4

00:25

05 - Solution Convert log records to JSON.mp4

00:51

05 - 4. Protocol Buffers Serialization

01 - Protocol buffers overview.mp4

01:02

02 - Writing the definition file.mp4

00:51

03 - Generating serializers.mp4

01:23

04 - Using protocol buffers.mp4

02:03

05 - gRPC.mp4

03:59

06 - Challenge Trade objects size.mp4

00:28

07 - Solution Trade objects size.mp4

01:38

06 - 5. Other Serialization Formats

01 - msgpack serialization.mp4

01:40

02 - YAML serialization.mp4

02:27

03 - XML serialization.mp4

03:11

04 - SQL.mp4

02:51

05 - Challenge ETL from XML to database.mp4

00:36

06 - Solution ETL from XML to database.mp4

01:30

07 - 6. Unicode

01 - Whats Unicode.mp4

02:31

02 - str and Bytes.mp4

02:07

03 - Normalization.mp4

01:41

04 - Case-insensitive comparison.mp4

01:06

05 - Detect encoding.mp4

02:07

06 - Challenge Counting strings.mp4

00:46

07 - Solution Counting strings.mp4

00:47

08 - Conclusion

01 - Next steps.mp4

00:35

Description

When you're making calls between different services, you can use serialization to move data around in a predictable manner for easy encoding and decoding. In this course, instructor Miki Tebeka takes a deep dive into the subject of serialization with Python, exploring key serialization formats, how to work with each format, and how to pick the right one for your Python project. He covers Python-specific serialization formats such as marshal and pickle; how to serialize and deserialize using JSON; how to encode and decode messages and serialize using protocol buffers; how to use msgpack; and more. Along the way, he shares challenges that allow you to put your new knowledge to the test.

This course is integrated with GitHub Codespaces, an instant cloud developer environment that offers all the functionality of your favorite IDE without the need for any local machine setup. With GitHub Codespaces, you can get hands-on practice from any machine, at any time—all while using a tool that you’ll likely encounter in the workplace. Check out the “Using GitHub Codespaces with this course” video to learn how to get started.

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Python

Miki Tebeka

Instructor's Courses

Teaching effective hands-on workshops all of the world. Consultant solving hard problem with the right tools (Java and C++ are *not* the right tools ;). Book author, LinkedIn learning Author, open source contributor and convention organizer, meetup co host and coding for fun in my spare time. Specialties: Python & Scientific Python (Expert), Go (Expert), C/C++, Clojure, JavaScript, bash, ... Information retrieval - tokenization, summarization, clustering, search ... Concurrency - Multi process, multi threaded, Hadoop ... Web development - REST APIs, jQuery, JavaScript, CSS, (X)HTML Assemblers, Linkers, Debugger, Simulators SCM tools (git, Mercurial, Perforce, subversion, CVS, ClearCase) Linux, OS X and Windows Functional Programming, OOD, OOP Databases - SQL (BigQuery, PostgreSQL, MySQL, Oracle) and NoSQL (Redis, MongoDB, CouchDB)

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