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This course will explain different file formats and the modules to process each one of them: JSON, XML, CSV. It will also address binary serialization formats used for numeric computation such as NPZ, Parquet, HDF5, and demonstrate the use of language-neutral formats like JSON and XML to communicate between Python and other systems.
Duration
7 hours
Difficulty
professional
INE's world-class IT trainingInstructor for this course
David Mertz
Ph.D. Philosophy
This course is composed by the following modules
INE's world-class IT training
Module 1
Introduction1 video
Course Introduction
Module 2
Pickle1 video, 1 exercise
Serializing Python Objects with Pickle
Universal Python Serialization
Module 3
JSON3 videos, 3 exercise
Reading and Writing JSON within Python
Reading and Writing JSON
Sharing JSON with Other Languages
Sharing JSON Among Languages
Using JSON Schema for Validation
JSON Schema
Module 4
CSV2 videos, 2 exercise
Reading and Writing CSV in Standard Library
Reading CSV with Standard Library
Reading and Writing CSV with Pandas
Reading CSV with Pandas
Module 5
XML3 videos, 3 exercise
Reading and Writing XML with xml.etree
ElementTree for XML
Reading and Using XML with lxml.objectify
Reading XML with lxml.objectify
Using XPATH
Accessing XML with XPATH
Module 6
Fast Numeric2 videos, 2 exercise
Serializing NumPy Arrays
Saving and Loading NumPy Arrays
Working with HDF5 Datasets
Saving Arrays to HDF5
Module 7
Conclusion1 video
Course Conclusion
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