Need advice about which tool to choose?Ask the StackShare community!

PySpark

207
233
+ 1
0
PyTorch

1.2K
1.3K
+ 1
42
Add tool
Get Advice from developers at your company using StackShare Enterprise. Sign up for StackShare Enterprise.
Learn More
Pros of PySpark
Pros of PyTorch
    Be the first to leave a pro
    • 14
      Easy to use
    • 11
      Developer Friendly
    • 10
      Easy to debug
    • 7
      Sometimes faster than TensorFlow

    Sign up to add or upvote prosMake informed product decisions

    Cons of PySpark
    Cons of PyTorch
      Be the first to leave a con
      • 3
        Lots of code
      • 1
        It eats poop

      Sign up to add or upvote consMake informed product decisions

      - No public GitHub repository available -

      What is PySpark?

      It is the collaboration of Apache Spark and Python. it is a Python API for Spark that lets you harness the simplicity of Python and the power of Apache Spark in order to tame Big Data.

      What is PyTorch?

      PyTorch is not a Python binding into a monolothic C++ framework. It is built to be deeply integrated into Python. You can use it naturally like you would use numpy / scipy / scikit-learn etc.

      Need advice about which tool to choose?Ask the StackShare community!

      Jobs that mention PySpark and PyTorch as a desired skillset
      CBRE
      Philippines National Capital Region Makati City
      CBRE
      United Kingdom of Great Britain and Northern Ireland England London
      CBRE
      Philippines National Capital Region Makati City
      What companies use PySpark?
      What companies use PyTorch?
      See which teams inside your own company are using PySpark or PyTorch.
      Sign up for StackShare EnterpriseLearn More

      Sign up to get full access to all the companiesMake informed product decisions

      What tools integrate with PySpark?
      What tools integrate with PyTorch?

      Sign up to get full access to all the tool integrationsMake informed product decisions

      Blog Posts

      What are some alternatives to PySpark and PyTorch?
      Scala
      Scala is an acronym for “Scalable Language”. This means that Scala grows with you. You can play with it by typing one-line expressions and observing the results. But you can also rely on it for large mission critical systems, as many companies, including Twitter, LinkedIn, or Intel do. To some, Scala feels like a scripting language. Its syntax is concise and low ceremony; its types get out of the way because the compiler can infer them.
      Python
      Python is a general purpose programming language created by Guido Van Rossum. Python is most praised for its elegant syntax and readable code, if you are just beginning your programming career python suits you best.
      Apache Spark
      Spark is a fast and general processing engine compatible with Hadoop data. It can run in Hadoop clusters through YARN or Spark's standalone mode, and it can process data in HDFS, HBase, Cassandra, Hive, and any Hadoop InputFormat. It is designed to perform both batch processing (similar to MapReduce) and new workloads like streaming, interactive queries, and machine learning.
      Pandas
      Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more.
      Hadoop
      The Apache Hadoop software library is a framework that allows for the distributed processing of large data sets across clusters of computers using simple programming models. It is designed to scale up from single servers to thousands of machines, each offering local computation and storage.
      See all alternatives