Repository Index

Translatedabout learning Spring Boot via examples. Spring Boot tutorials and tech stack example code, quick and easy tutorials to get started.

• spring-boot
• spring-data-jpa
• mybatis
• thymeleaf

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.

• python
• machine-learning
• deep-learning
• data-science

TranslatedBig Data Beginner's Guide :star:

• hadoop
• hdfs
• yarn
• mapreduce

TranslatedFocused on big data learning and interviews, the road to becoming a big data god begins. Flink/Spark/Hadoop/Hbase/Hive...

• flink
• spark
• hadoop
• hdfs

CLRS study. Codes are written with golang.

• go
• clrs
• algorithms
• heap

Header-Only C++ Library for Graph Representation and Algorithms

• search-algorithm
• dijkstra-algorithm
• graph
• graph-algorithms

A general-purpose lightweight C++ graph library

• graph
• bfs
• dfs
• graph-algorigthms

:mag: Data pipeline for crawling PDFs from the Web and transforming their contents into structured data using AWS textract. Built with AWS CDK + TypeScript

• aws
• textract
• lambda
• dynamodb

Generic graph data structures and algorithms for Go (Golang): dependency graphs (DAGs) with cycle checks and topological sort, BFS and DFS traversal, Dijkstra and other shortest paths, connectivity and partitioning. No dependencies.

• generic
• golang
• graph
• graph-algorithms

Modular and modern graph-theory algorithms framework in Java

• graph-algorithms
• graph-theory
• java
• algorithms

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.

• big-data
• bigdata
• spark
• spark-sql