[#Script #Coding] OWASP API Security Top 10 Course – Secure Your Web Apps

OWASP API Security Top 10 Course – Secure Your Web Apps

By freeCodeCamp.org
Published: Aug 30, 2023


freeCodeCamp.org Learn about the OWASP API Security Top 10, 2023 edition. In this crash course, you will learn about each security risk and learn techniques to fortify your APIs against potential threats. The course also covers key concepts that didn’t make it into the Top 10.

✏️ Course created by APIsec University and Corey Ball
Website: https://www.apisecuniversity.com
YouTube: https://www.youtube.com/@apisecu
Twitter: https://twitter.com/apisecu
LinkedIn: https://www.linkedin.com/company/apisec-university

⭐️ Contents ⭐️
Introduction
⌨️ (0:00:00) Welcome to APIsec University
⌨️ (0:01:46) Introduction to OWASP API Security and Beyond!
⌨️ (0:03:06) How the Course Works
⌨️ (0:05:16) Course Objectives

What is the OWASP API Security Top 10
⌨️ (0:06:38) What is OWASP
⌨️ (0:09:58) How is the Top 10 Compiled?
⌨️ (0:12:19) Mapped to External Sources
⌨️ (0:13:30) Updates to the OWASP API Security Top 10

The Top 10
⌨️ (0:19:38) API1:2023 – Broken Object Level Authorization
⌨️ (0:25:07) API2:2023 – Broken Authentication
⌨️ (0:32:23) API3:2023 – Broken Object Property Level Authorization
⌨️ (0:39:08) API4:2023 – Unrestricted Resource Consumption
⌨️ (0:42:54) API5:2023 – Broken Function Level Authorization
⌨️ (0:48:02) API6:2023 – Unrestricted Access to Sensitive Business Flows
⌨️ (0:51:48) API7:2023 – Server Side Request Forgery
⌨️ (0:56:49) API8:2023 – Security Misconfiguration
⌨️ (1:05:00) API9:2023 – Improper Inventory Management
⌨️ (1:11:22) API10:2023 – Unsafe Consumption of APIs

Beyond the Top 10
⌨️ (1:15:19) Injections
⌨️ (1:18:25) Insufficient Logging & Monitoring
⌨️ (1:20:38) Business Logic Flaws

🎉 Thanks to our Champion and Sponsor supporters:
👾 davthecoder
👾 jedi-or-sith
👾 南宮千影
👾 Agustín Kussrow
👾 Nattira Maneerat
👾 Heather Wcislo
👾 Serhiy Kalinets
👾 Justin Hual
👾 Otis Morgan
👾 Oscar Rahnama

Learn to code for free and get a developer job: https://www.freecodecamp.org

Read hundreds of articles on programming: https://freecodecamp.org/news

[#Script #Coding] Foundational C# with Microsoft – Free Course and Certification

Foundational C# with Microsoft – Free Course and Certification

By freeCodeCamp.org
Published: Aug 28, 2023


freeCodeCamp.org Learn how to earn a free C# certification! freeCodeCamp has teamed up with Microsoft up to bring you a new free professional certification: the Foundational C# Certification. The course is a text based course, not a video course. This professional certification includes 35 hours of text-based training and interactive coding challenges all from Microsoft, and also an online certification exam by freeCodeCamp. In this video, freeCodeCamp team member @GavinLon will preview the course, along with telling you everything you need to do to take this free course.

💻 Access the course and certification here: https://www.freecodecamp.org/learn/foundational-c-sharp-with-microsoft/

🔗 .NET Home Page: https://dotnet.microsoft.com/
🔗 Community Page: https://dotnet.microsoft.com/platform/community
🔗 Beginner Videos: https://dotnet.microsoft.com/learn/videos
🔗 MS Learn for .NET: https://learn.microsoft.com/training/dotnet/
🔗 Docs: https://learn.microsoft.com/dotnet/

⭐️ Contents ⭐️
⌨️ (0:00:00) Introduction
⌨️ (0:05:09) Overview of how to acquire the Foundational C# with Microsoft Developer Certificate
⌨️ (0:09:34) In depth guide through Part1, Module1 (Write your first C# code)
⌨️ (0:48:42) Configure and Install Visual Studio Code and Install .NET 7 SDK
⌨️ (1:04:08) Code Example – if, else, else if statements in C#
⌨️ (1:10:43) Code Example -switch-case construct in C#
⌨️ (1:17:52) Code Example – write your first C# method
⌨️ (1:25:40) Gavin Lon takes the Foundational C# with Microsoft Developer Certification exam
⌨️ (1:27:46) Recommended content to continue your C# and .NET education upon finishing the certification
⌨️ (1:29:29) Conclusion

🎉 Thanks to our Champion and Sponsor supporters:
👾 davthecoder
👾 jedi-or-sith
👾 南宮千影
👾 Agustín Kussrow
👾 Nattira Maneerat
👾 Heather Wcislo
👾 Serhiy Kalinets
👾 Justin Hual
👾 Otis Morgan
👾 Oscar Rahnama

Learn to code for free and get a developer job: https://www.freecodecamp.org

Read hundreds of articles on programming: https://freecodecamp.org/news

[#Adobe #Design] How to Create a Light Bloom Effect in Adobe Premiere Pro CC (2023)

How to Create a Light Bloom Effect in Adobe Premiere Pro CC (2023)

By AdobeMasters
Published: Aug 28, 2023


AdobeMasters Check out my Premiere Pro Course: https://www.udemy.com/course/premiere-pro-course/?referralCode=AF659E18BEF06A7F4955

Today we are going to go over how to create a light bloom effect in Adobe Premiere Pro CC.

Get near unlimited stock footage and premiere pro templates: http://1.envato.market/c/1413971/298927/4662

Join the Community at: https://adobemasters.net/
Request a Tutorial at: https://adobemasters.net/request-a-tutorial/

If you want to learn more about the Adobe products. Here are a couple of cheap courses I learned from.
http://adobemasters.net/courses/

Subscribe to see more Adobe related content, videos every other day.

[#Script #Coding] Create a Large Language Model from Scratch with Python – Tutorial

Create a Large Language Model from Scratch with Python – Tutorial

By freeCodeCamp.org
Published: Aug 25, 2023


freeCodeCamp.org Learn how to build your own large language model, from scratch. This course goes into the data handling, math, and transformers behind large language models. You will use Python.

✏️ Course developed by @elliotarledge

💻 Code and course resources: https://github.com/Infatoshi/fcc-intro-to-llms

⭐️ Contents ⭐️
(0:00:00) Intro
(0:03:25) Install Libraries
(0:06:24) Pylzma build tools
(0:08:58) Jupyter Notebook
(0:12:11) Download wizard of oz
(0:14:51) Experimenting with text file
(0:17:58) Character-level tokenizer
(0:19:44) Types of tokenizers
(0:20:58) Tensors instead of Arrays
(0:22:37) Linear Algebra heads up
(0:23:29) Train and validation splits
(0:25:30) Premise of Bigram Model
(0:26:41) Inputs and Targets
(0:29:29) Inputs and Targets Implementation
(0:30:10) Batch size hyperparameter
(0:32:13) Switching from CPU to CUDA
(0:33:28) PyTorch Overview
(0:42:49) CPU vs GPU performance in PyTorch
(0:47:49) More PyTorch Functions
(1:06:03) Embedding Vectors
(1:11:33) Embedding Implementation
(1:13:06) Dot Product and Matrix Multiplication
(1:25:42) Matmul Implementation
(1:26:56) Int vs Float
(1:29:52) Recap and get_batch
(1:35:07) nnModule subclass
(1:37:05) Gradient Descent
(1:50:53) Logits and Reshaping
(1:59:28) Generate function and giving the model some context
(2:03:58) Logits Dimensionality
(2:05:17) Training loop + Optimizer + Zerograd explanation
(2:13:56) Optimizers Overview
(2:17:04) Applications of Optimizers
(2:18:11) Loss reporting + Train VS Eval mode
(2:32:54) Normalization Overview
(2:35:45) ReLU, Sigmoid, Tanh Activations
(2:45:15) Transformer and Self-Attention
(2:46:55) Transformer Architecture
(3:17:54) Building a GPT, not Transformer model
(3:19:46) Self-Attention Deep Dive
(3:25:05) GPT architecture
(3:27:07) Switching to Macbook
(3:31:42) Implementing Positional Encoding
(3:36:57) GPTLanguageModel initalization
(3:40:52) GPTLanguageModel forward pass
(3:46:56) Standard Deviation for model parameters
(4:00:50) Transformer Blocks
(4:04:54) FeedForward network
(4:07:53) Multi-head Attention
(4:12:49) Dot product attention
(4:19:43) Why we scale by 1/sqrt(dk)
(4:26:45) Sequential VS ModuleList Processing
(4:30:47) Overview Hyperparameters
(4:32:14) Fixing errors, refining
(4:34:01) Begin training
(4:35:46) OpenWebText download and Survey of LLMs paper
(4:37:56) How the dataloader/batch getter will have to change
(4:41:20) Extract corpus with winrar
(4:43:44) Python data extractor
(4:49:23) Adjusting for train and val splits
(4:57:55) Adding dataloader
(4:59:04) Training on OpenWebText
(5:02:22) Training works well, model loading/saving
(5:04:18) Pickling
(5:05:32) Fixing errors + GPU Memory in task manager
(5:14:05) Command line argument parsing
(5:18:11) Porting code to script
(5:22:04) Prompt: Completion feature + more errors
(5:24:23) nnModule inheritance + generation cropping
(5:27:54) Pretraining vs Finetuning
(5:33:07) R&D pointers
(5:44:38) Outro

🎉 Thanks to our Champion and Sponsor supporters:
👾 davthecoder
👾 jedi-or-sith
👾 南宮千影
👾 Agustín Kussrow
👾 Nattira Maneerat
👾 Heather Wcislo
👾 Serhiy Kalinets
👾 Justin Hual
👾 Otis Morgan

Learn to code for free and get a developer job: https://www.freecodecamp.org

Read hundreds of articles on programming: https://freecodecamp.org/news

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