Coding Tech

Coding Tech

Views:
50,452,301
Subscribers:
725,000
Videos:
1,288
Duration:
31:03:37:36
United States
United States

Coding Tech is an American content creator on YouTube with around 725 thousand subscribers, publishing around 1.29 thousand videos which altogether total roughly 50.45 million views.

Created on ● Channel Link: https://www.youtube.com/channel/UCtxCXg-UvSnTKPOzLH4wJaQ





Top 500 Videos With The Longest Duration by Coding Tech


Video TitleDurationCategoryGame
401.Python Generators || James Powell40:08
402.Creative Text Effects With CSS40:03
403.Having Your Cake and Eating It Too -- GraphQL in REason40:01
404.MICROSERVICE WEBSITES40:01
405.Introduction To TensorFlow 2.040:00
406.An Intuitive Introduction to Algorithmic Efficiency39:56
407.WebAssembly for Web Developers39:56
408.Large Language Models from Prototype to Production39:55
409.Let's SQL Like It's 1992 || James Powell39:50
410.Deconstructing React || Tejas Kumar39:49
411.Gaining Control with the Web Animations API39:49
412.Designing with Light: The Upcoming Wave of Ubiquitous Projection39:44
413.Quantum Computing Deep Dive39:37
414.High Performance Data Processing in Python || Donald Whyte39:37
415.The Frontend Is A Full Stack39:37
416.Don’t Use My Grid System OR The Past & Future of Web Layout39:36
417.How To HACK A Node App39:33
418.Interviewing For Technical Roles -- Tips and Tricks39:31
419.Coding Complex App Logic, Visually39:28Vlog
420.Modern Enterprise Java From The Ground Up39:27
421.Microservices + Events + Docker = A Perfect Trio39:27
422.DESIGN SPRINTS (Awesome New Way To Develop Products)39:23
423.Going GraphQL39:21
424.Instant Loading: 3 Key User Moments39:20
425.How Do ML Models Use Their Features to Make Predictions (or SHAP Values for ML Explainability)39:15
426.State of Embedded Linux - 202339:14
427.Why Product Thinking is so Hard (and what you can do about it)39:09
428.Top 10 Data Engineering Mistakes39:06
429.The Secrets of High Performing Technology Organizations39:04Vlog
430.Post-Modern CSS (In-Depth on CSS Grid, Flexbox and Other New Properties)39:03
431.Deep Dive Into Computer Vision38:47
432.WebAssembly: Digging a Bit Deeper38:45
433.A Case for Oxidation: The Rust Programming Language38:29
434.UX in Motion38:28
435.Rust in Production38:18
436.Building WebGPU with Rust38:16
437.Docker?!? But I'm a SYSADMIN!38:16
438.No One Needs A Server - A Fresh Look At Cloud38:16
439.Expressive and Fast Dataframes in Python with Polars || Juan Luis38:15
440.The State of C#: What Have I Missed?38:13
441.AI + AR Superpowers!38:13
442.After CI/CD, there's now Continuous Configuration38:06
443.Advanced Asyncio: Solving Real World Production Problems38:05
444.Playing By the Rules-Based Systems || Vincent Warmerdam37:58
445.5 Trends That Will Shape Website Development In The Next 5 Years37:54
446.Using Node.js To Create Electronic Dance Music37:51A.V.
447.The Most Common Problem In Software Development And How To Fix It37:47
448.The Parallel Future Of The Browser37:46
449.Unlocking New Capabilities for the Web37:43
450.Because You Cant Run, You Cant Hide: Some Musings on API Design || James Powell37:41
451.How To Write Secure JavaScript Applications37:34Guide
452.Intro To Graph Neural Networks || Kefei Hu37:31
453.Joy - Maintaining Passion for Programming37:26
454.Gio Cross Platform GUI Programming for Mobile, Desktop, WebAssembly37:26
455.Forget Cloud: The Peer-to-Peer Web37:20
456.http4s: Pure, Typeful, Functional HTTP in Scala37:15
457.Ethereum and React: An Introduction to Building Your First Web dApp37:14
458.Anomaly Detection for JavaScript Apps37:13
459.Using GraphQL, ReactJS and Apollo To Create Amazing Apps37:09
460.Run Deep Learning Models in the Browser With JavaScript and ConvNetJS37:08
461.Do We Really Do Functional Programming in Java?37:06
462.Increase Your .NET Productivity: Tips & Tricks in Visual Studio 201937:04
463.Getting Started with VueJS and WordPress37:00
464.TensorFlowJS: Bringing ML and Linear Algebra to NodeJS36:51
465.SVG CAN DO THAT?!36:51
466.Artificial Intelligence: The Future of Software36:49
467.Building UIs in the Dark (aka Elm Programming)36:48
468.Clean Architecture: How to Structure Your ML Projects to Reduce Technical Debt || Laszlo Sragner36:47
469.Faster Pandas: Make Your Code Run Faster and Consume Less Memory || Miki Tebeke36:46
470.JavaScript On Microcontrollers36:41
471.Testing The Way It Should Be (aka Intro Into Cypress)36:40
472.The Science of Code Reviews36:39Review
473.What’s New in JavaScript36:33
474.Stars, Black Holes, and Snake (Python)36:29
475.Game Physics in Python || Carl Kadie36:26
476.Django Structure For Scale and Longevity36:25
477.Fast and Beautiful Modern Image Delivery Techniques36:24
478.ReactJS vs SolidJS36:21
479.Code Review Beyond Code Style36:20Review
480.Revolutionizing Rigs: Modern widgets for Character Animation36:14
481.Is DevOps Still Relevant in a Cloud Native World36:13
482.Code Refactoring: Learn Code Smells And Level Up Your Game!36:13
483.C++ Development with Visual Studio Code36:00
484.Writing Beautiful Packages in Go35:52
485.The Future Of JavaScript Frameworks35:51
486.Clusterfck A Practical Guide to Bayesian Hierarchical Modeling in PyMC3 || Hanna van der Vlis35:49Guide
487.Goodbye Client Side JavaScript, Hello C# Blazor35:49
488.Practical Machine Learning for Front End Developers35:46
489.Hacking Web Performance35:42
490.SQLite in Wasm: A Glimpse into the Future35:40
491.Machine Learning: Zero to Hero35:33
492.Let's Build a RUST WebAssembly Frontend App With Yew35:32
493.Immutable User Interfaces35:29
494.Untitled12.ipynb: Prevent Miles of Scrolling, Reduce the Spaghetti Code from the Copy Pasta35:22
495.Football Video Analysis Using Deep Learning35:16
496.From Developer to Data Scientist35:13
497.A Crash Course in Applied Linear Algebra || Patrick Landreman35:11
498.The profession of Solving (the Wrong Problem) || Vincent Warmerdam35:08
499.This Is How Docker Works, The Fun Way!35:01
500.Progressive Web Apps are the Future34:59