Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
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Learn Low Level Design (LLD) and prepare for interviews using free resources.
- awesome
- design-patterns
- interview
- interview-practice
TranslatedList of personally collected books PDF download Baidu Cloud e-book download
Sample code for several design patterns in PHP 8.x
- designpatternsphp
- php
- design-patterns
- design-pattern
TranslatedBig Data Beginner's Guide :star:
- hadoop
- hdfs
- yarn
- mapreduce
A curated list of awesome System Design (A.K.A. Distributed Systems) resources.
- relational-database
- message-broker
- hadoop-ecosystem
- nosql
📚 A curated list of awesome articles, videos, and other resources to learn and practice software architecture, patterns, and principles.
- architecture
- ddd
- ddd-architecture
- system-design
TranslatedFocused on big data learning and interviews, the road to becoming a big data god begins. Flink/Spark/Hadoop/Hbase/Hive...
A best practice for tensorflow project template architecture.
- tesnorflow
- software-engineering
- oop
- deep-learning
Implementation of Peter Shirley's Ray Tracing In One Weekend book using Vulkan and NVIDIA's RTX extension.
Complete working example of using Domain Driven Design (DDD), Hexagonal Architecture, CQRS, Event Sourcing (ES), Event Driven Architecture (EDA), Behaviour Driven Development (BDD) using TypeScript and NestJS. Like what you see? Don't forget to star! ⭐ ^^^
Avoid The One-off Problem, Infinite Loops, Statefulness and Hidden intent.
- tail-recursion
- loops
- higher-order-function
- fp
A deep dive into the Ember JS runloop.
- ember-framework
- javascript
- ember-runloop
- runloop
:book: Examples of GOF patterns written in Crystal
- crystal
- crystal-patterns
- gof-patterns
- oop
Python MapReduce library written in Cython. Visit us in #hadoopy on freenode. See the link below for documentation and tutorials.
How to build an analytics agent that gets your business numbers right: metrics from your analysts' SQL, a golden set of real questions, improvement loops
Big Data essentials: Hadoop, MapReduce, Spark. Explore tutorials and demos in Jupyter notebooks—most are self-contained and live, ready to run with a click.