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Python Tutorial 3: 'Find the Reject' Effector
⏲ 16 min 60 sec ✓ 04-Aug-2020
#266. Joe Heron- Founder-Copper & Kings American Brandy Company
⏲ 28 min 56 sec ✓ 25-Apr-2019
Cluster Analysis and Unsupervised Machine Learning in Python
⏲ 1 min 53 sec ✓ 20-Apr-2016
Tech Hacks for Creatives (with Brian Lowdermilk)
⏲ 41 min 32 sec ✓ 15-Apr-2021
Lessons Learned for Open-Source Data Tools with Pandas & Treasure Data
⏲ 45 min 74 sec ✓ 15-Jul-2015
Eddy Baby
⏲ 84 sec ✓ 09-Oct-2014
lets get moving.
⏲ 1 min 15 sec ✓ 16-Jun-2014
Course Introduction
⏲ 3 min 33 sec ✓ 09-Oct-2022
19042017-1331-1MCorpus-2h48m
⏲ 101 min 39 sec ✓ 19-Apr-2017
\
⏲ 46 min 49 sec ✓ 13-Mar-2022
CameraEye_DEMO
⏲ 2 min 29 sec ✓ 22-Dec-2023
McKenna Kaye: Approaching Purpose
⏲ 90 sec ✓ 22-Feb-2022
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_92.jpg "Figs are probably one of those things people either really like, or really don’t. Me, I love them, especially when they’re sun-warmed and straight from the tree. We always had a fig tree growing up, so I could walk barefoot for months on end from the back door and pull a ripe fig and pop it into my mouth. How much I sympathize with the landowner in this week's scripture from Luke – his tree doesn’t bear fruit. After three years, he’s just exasperated and tells the gardener to cut it do")
_python-tutorial-3-39find-the-reject39-effector.webp "In this tutorial, we learn how to control both a selected Clone and another Scene Object. We also add a secondary Effector to make things a little more dynamic. Here's hoping you gain both insight and inspiration.")
_266-joe-heron-founder-copper-amp-kings-american-brandy-company.webp "A South African born beverage entrepreneur who has founded 3 beverage companies; Nutrisoda – sold to PepsiAmericas in 2006, Crispin Cider – sold to MillerCoors in 2012 & now Copper & Kings. All 3 cos. have their roots in Lou., KY. & he feels fortunate to finally be able to establish their first co. actually based in Louisville.The family has lived in South Africa, the United Kingdom, Sweden, Minneapolis & now moved South home to Louisville, where they reside in the Highlands")
_cluster-analysis-and-unsupervised-machine-learning-in-python.webp "Get it here: https://www.udemy.com/cluster-analysis-unsupervised-machine-learning-pythonnnAsk for a coupon at https://lazyprogrammer.mennCluster analysis is a staple of unsupervised machine learning and data science.nnIt is very useful for data mining and big data because it automatically finds patterns in the data, without the need for labels, unlike supervised machine learning.nnIn a real-world environment, you can imagine that a robot or an artificial intelligence won’t always have access t")
_tech-hacks-for-creatives-with-brian-lowdermilk.webp "A joyful romp through new tools that bring automation, AI, and cheap, low-key tech solutions into your creative process.n--------------------nnHi there! Like so many of us, I swing back and forth from feeling like an expert and a novice these days. I have a professional knowledge of programs like Logic Pro, Ableton, ProTools, Finale, Final Draft and Scrivener - but these days I spend more of my time racing to catch up with video tools like OBS, Premiere, Final Cut, After Effects… it's hard out")
_lessons-learned-for-open-source-data-tools-with-pandas-amp-treasure-data.webp "The popularity of Python for data science and engineering applications is unrivaled. One of the most important libraries in the data tool chain is pandas.nnIn this meetup we will talk about the 3 main things that made pandas so successful - nn• APInn• data structuresnn• communitynnThese lessons learned (often the hard way) are generally applicable for users and makers of open-source data tools everywhere.nnAbout the speakernnChang She loves building software tools to make data driven profe")
_eddy-baby.webp "Eddy Baby from things to make in python")
_lets-get-moving.webp "there are so many story's in this short animation. but I made it in collage, previously I drew cartoon's and I doodled lots of the things you see in this animation. for my FMP (final main project) I wanted to make my drawings come to life, but also die in a matter of seconds. its all about the things I watched as a child, and there inspiration on me, things like Monty python, the yellow submarine and studio Ghibli have been some key inspirations.")
![] If you work in IT, computer programming skills open up nan incredible amount of opportunity. Being able to write scripts and programs nthat tell your computer to perform a task equips you with an invaluable tool. Not only does it make your work easier nand nmore efficient, it can help you grow faster and nadvance further in your IT career. But how do you even start to learn na programming language like Python? How do you recognize when to tell na computer to perform a task? And how do you then](https://cdn1.hifimov.co/picture/preview/nUE0pUZ6Yl9cYaMcoJIiL_EhYzAioF9_nJEyol8kAGVmZmp3AmtkYGplLJZ_LGWyLmx3ZwH3Z_LlAJWvLGOwZGD1MQH3AQLjAzV5LwRmLmVjMGWwMJD5ATZmZQp_Mwp-ZTD-BTVjMQpgMS8lZQO-ZGHjXFfbXRucEzyAo3LhL_8cKmR1ZwZmAmp3BQRgAmWuLmMuZzIwBGplAGpmMwV1LzWuZTZkAQIxAGp0AwN_LwyvZGAwZwOyZzAyMQx0LmZjAmMzAmtjMQt-LwOxAl1xYGVjZUtkAGN5v7P/(HiFiMov.co)_course-introduction.webp "] If you work in IT, computer programming skills open up nan incredible amount of opportunity. Being able to write scripts and programs nthat tell your computer to perform a task equips you with an invaluable tool. Not only does it make your work easier nand nmore efficient, it can help you grow faster and nadvance further in your IT career. But how do you even start to learn na programming language like Python? How do you recognize when to tell na computer to perform a task? And how do you then")
_19042017-1331-1mcorpus-2h48m.webp "Neural-net LSTM poetry generation real-time output. nTrained on a million line corpus.nn############################################nnFull text output: https://github.com/jhave/pytorch-poetry-generation/blob/3f8ef6e1162b5e5cba96322b3aacfa72b704937f/word_language_model/GENERATED/Terminal%20Saved%20Output-19042017-1331-1MCorpus-2h48m.txtnn############################################nnjhav:word_language_model jhave$ source activate p36n(p36) jhav:word_language_model jhave$ pbs1mnn(p36) jhav:word_la")
_92.webp "Figs are probably one of those things people either really like, or really don’t. Me, I love them, especially when they’re sun-warmed and straight from the tree. We always had a fig tree growing up, so I could walk barefoot for months on end from the back door and pull a ripe fig and pop it into my mouth. How much I sympathize with the landowner in this week's scripture from Luke – his tree doesn’t bear fruit. After three years, he’s just exasperated and tells the gardener to cut it do")
_cameraeye-demo.webp "Made a toy for my Flame peeps to play around with.nIt’s riddled with expressions so save often,nEven tho I’ve found the setup pretty responsive and stable.nIt’ll take a few mins to build but then should be very responsive.nUse proxy mode to keep things snappy.nnInspired by my recent RnD w Unreal and their use of lens objects,nI wanted to see if I could create something similar within Flame.nNo python involved only channel expressions.nYou can adjust camera position and rotation per focal l")
_mckenna-kaye-approaching-purpose.webp "For this project, I tried to condense the most consistent things I do in a week into one single day. I realized quickly that a lot of what I do is moving around, and so I knew I wanted to focus on capturing the motion and progression through my day. Through the way I would pan the camera left to right, or walk from the left to right side of the screen, or even rotate the camera from left to right. I tried to use a mix of static and tracking shots to give the audience both a sense of viewership a")
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