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Notes from books and other interesting things that I've read. Table of contents at the end 👇
Techniques and numbers for estimating system's performance from first-principles
A living document of hand-picked resources for marketers working on dev-centric products.
A living document of hand-picked resources for marketers.
A curated list of resources related to internet marketing.
A curated list of resources, tools, and guides for mastering sales engineering and excelling in pre-sales roles
PROPELLER: Profile Guided Optimizing Large Scale LLVM-based Relinker
Easily run Python at the shell! Magical, but never mysterious.
This is an online course where you can learn and master the skill of low-level performance analysis and tuning.
Official repository for the BPF Performance Tools book
WebApps in pure Python. No JavaScript, HTML and CSS needed
Run cloud native workloads on NVIDIA GPUs
An interference-aware scheduler for fine-grained GPU sharing
A Python framework for accelerated simulation, data generation and spatial computing.
Curated list of AI-powered developer tools.
💰 Billing & Payments knowledge for cloud platforms
A curated list of data engineering tools for software developers
Canonical location of Python Software Foundation Request for Information/Proposal documents.
Automatically add simple type annotations to your code
Algorithm and data structure articles for https://cp-algorithms.com (based on http://e-maxx.ru)
Adds variables to python traceback. Simple, lightweight, controllable. Customize formats and colors. Debug reasons of exceptions by logging or pretty printing colorful variable contexts for each fr…
Try out deep learning models online on Google Colab