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leonardlan/README.md

Header

Hello! I'm Leonard, a Show Technical Director at an animation studio. I work in small team to support several 3D-animated children's episodic shows. With a solid background as both a Pipeline TD and software engineer in the Visual Effects and Animation industries, I have a strong passion for tool development and problem-solving.

Facts About Me

🚀 Constant Learner: I'm always looking for new opportunities to learn and grow in tech, VFX, and animation industries.

🛠️ Problem Solver: I love tackling complex problems and finding efficient solutions through code.

💡 Tech Explorer: Always exploring new tools, libraries, and technologies to improve my workflow and stay up-to-date.

💻 Terminal Enthusiast: Experienced with Windows Terminal and Bash for development workflows.

Notable Work

Go, Dog. Go! | DreamWorks | Only on Netflix
Show Technical Director
Go, Dog. Go! by Dreamworks
Seasons 3 & 4 (22 episodes)
Ninjago Season 15: Crystallized | LEGO
Show Technical Director
Ninjago by LEGO
Season 15: Crystallized (30 episodes)
The Willoughbys
Render Farm Engineer
The Willoughbys on Netflix
Puppy Star Christmas
Pipeline Software Engineer
Puppy Star Christmas
Pup Academy
Pipeline Software Engineer
Pup Academy on Netflix

Disclaimer

My repositories and content here are my own and do not represent my employer(s). All contributions are made in my personal capacity, and no third-party intellectual property is shared.

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  1. Find python tracebacks in log files ... Find python tracebacks in log files using multiprocessing for fast results
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    '''Debugging related tools.'''
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    import glob
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    import multiprocessing
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    import re
  2. Convert seconds to human time in Python Convert seconds to human time in Python
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    from collections import OrderedDict
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    INTERVALS = OrderedDict([
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        ('millennium', 31536000000),  # 60 * 60 * 24 * 365 * 1000
  3. Find target in nested Python dict or... Find target in nested Python dict or list or both
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    '''Prints path to needle in haystack (can be nested list or dict).
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    Example:
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        >>> haystack = {
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            'fruits': [