A long list of (advanced) JavaScript questions, and their explanations :sparkles:
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Data Engineering Zoomcamp is a free 9-week course on building production-ready data pipelines. Join the course here 👇🏼
This is a repo with links to everything you'd ever want to learn about data engineering
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.
TranslatedLearn and understand Docker&Container technologies, with real DevOps practice!
TranslatedList of personally collected books PDF download Baidu Cloud e-book download
:sparkles::sparkles:Latest Advances on Multimodal Large Language Models
- instruction-tuning
- instruction-following
- large-vision-language-model
- visual-instruction-tuning
TranslatedBig Data Beginner's Guide :star:
- hadoop
- hdfs
- yarn
- mapreduce
List of Data Science Cheatsheets to rule the world
- datascience
- python
- r
- spark
Translatedflink learning blog. http://www.54tianzhisheng.cn/ Covers Flink introduction, concepts, principles, hands-on practice, performance tuning, source code analysis, and more. Includes learning examples involving Flink Connector, Metrics, Library, DataStream API, Table API & SQL, and also shares large-scale project cases of Flink in production (PV/UV, log storage, real-time deduplication of 10 billion records, monitoring and alerting). You are welcome to support my column 《大数据实时计算引擎 Flink 实战与性能优化》 ("Big Data Real-Time Computing Engine Flink: Hands-On Practice and Performance Optimization")
Translated[Big Tech Interview Column] A technical guide for Java programmers, with interview questions, system architecture, career tips, mainstream middleware, and more, to help you become an even better version of yourself!
- java
- spring
- springboot
- dubbo
TranslatedFocused on big data learning and interviews, the road to becoming a big data god begins. Flink/Spark/Hadoop/Hbase/Hive...
Code to accompany Advanced Analytics with Spark from O'Reilly Media
A comprehensive Spark guide collated from multiple sources that can be referred to learn more about Spark or as an interview refresher.
The book's repo
SPARK by Example is an adaptation of ACSL by Example for SPARK 2014, a programming language which is a formally verified subset of Ada
- formal-verification
- formal-methods
- formal-specification
- ada
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.
List of secret menus inside Google Chrome and Chromium based browsers. Updated July 2026
- browser
- chrome
- chrome-browser
- chromium
Various examples of notebooks for working with web archives with the Archives Unleashed Toolkit, and derivatives generated by the Archives Unleashed Toolkit.
- notebooks
- pyspark-notebook
- juypter-notebook
- spark
:sparkles: A curated walkthrough to start your journey as a blockchain developer and become an Algorand Pro 0️⃣ -> 🦸🏼♂️