Sai Karthik Varanasi's starred repositories
javaInterview
Store all my notes for java interviews
milewski-ctfp-pdf
Bartosz Milewski's 'Category Theory for Programmers' unofficial PDF and LaTeX source
aws-dbs-refarch-datalake
Reference Architectures for Datalakes on AWS
awesome-distributed-systems
A curated list to learn about distributed systems
algorithms
Minimal examples of data structures and algorithms in Python
awesome-scalability
The Patterns of Scalable, Reliable, and Performant Large-Scale Systems
Linux-Essential-1
Framgia Training Workshop - Linux Essential 1
Python-100-Days
Python - 100天从新手到大师
Hanhan-Spark-Python
Used Spark core python, Spark sql, Spark MLlib, Spark Streaming
LearningApacheSpark
LearningApacheSpark
coding-interview-university
A complete computer science study plan to become a software engineer.
a-week-in-wild-ai
360 view on ai/ml/dl applications
Practical_RL
A course in reinforcement learning in the wild
google-interview-university
A complete daily plan for studying to become a Google software engineer.
awesome-deep-learning-papers
The most cited deep learning papers
data-science-ipython-notebooks
Continually updated 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.
masterclass
Materials for various Hadoop & Nifi related workshops
pyspark-tutorial
PySpark Code for Hands-on Learners
pyspark-tutorials
Code snippets and tutorials for working with social science data in PySpark
pyspark-tutorial
PySpark-Tutorial provides basic algorithms using PySpark
project-based-learning
Curated list of project-based tutorials
100-Days-Of-ML-Code
100 Days of ML Coding
tensorflow
An Open Source Machine Learning Framework for Everyone