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Reading Tracker

Overview

This tracker is designed to record my continuous learning journey by reading books, attending presentations and talks, following blogs and articles, and studying papers.

The component:

Domain: Various domains, mostly coming from Technology and Programming

Type: Book, Course, Website, Presentation, Blogs, Article, Paper

Tracker

Book

Course Status Level Expected Time Reference Link
[1] Docker basic concept Beginner 4 hours https://devopswithdocker.com/
[2] CS 329S: Machine Learning Systems Design Intermediate 2 weeks https://stanford-cs329s.github.io/syllabus.html
[3] Coursera: Data Engineering, Big Data, and Machine Learning on GCP Specialization Advanced 2 months https://www.coursera.org/specializations/gcp-data-machine-learning?action=enroll&authMode=login

2024 - The year of Dragon

[1] Introduction to Machine Learning with Python

Book - Introduction to Machine Learning with Python

https://python101.pythonlibrary.org/intro.html

The table of content

Datetime Title [URL]
2024
2024-03-25 Go to Redowan's Reflections: Annotating args and kwargs in Python
2023
2024-11-04 Sebastian Ramiez shared about: Keeping an Open Source Mind

Conference: Python Convference https://github.com/amyreese/pycon

Advanced Python https://python-course.eu/

Idea: https://www.pythonsheets.com/notes/python-sqlalchemy.html

https://python-textbok.readthedocs.io/en/latest/Introduction.html

https://www.intel.com/content/www/us/en/developer/topic-technology/overview.html

https://merely-useful.tech/py-rse/bash-basics.html

https://microservices.io/patterns/index.html

digressions write a lot of Python basic, tips, tricks

https://www.chenshi.net/how%20to%20solve%20tls%20gateway%20404%20problem%20on%20istio1.10.html

The content of Postman is so fresh and worst to try

https://blog.postman.com/tag/product-updates/