Boosting python web apps with protocol buffers & grpc
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This document discusses using Protocol Buffers (Protobuf) and GRPC to boost Python web apps. It begins by explaining why JSON is popular but has limitations. Protobuf provides benefits like binary encoding for smaller size and support for HTTP/2. The key steps to use Protobuf with Python are installing the protoc compiler and generating Python class files from .proto schema files. The document teases additional upcoming slides on working with a real-world example, introducing GRPC, and building GRPC servers and clients in Python using Protobuf to scale microservices.
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Intermediate college sanction Norms
Intermediate college sanction NormsNaren Arya The document outlines guidelines and norms for sanctioning new private unaided junior colleges in Andhra Pradesh. Key points include:
- Societies seeking to open new colleges must register under the Societies Act and submit documents like bylaws and membership details.
- Inspection fees must be paid based on whether the college is located in a municipal corporation, municipality, or gram panchayat area.
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Go to gRPCNaren Arya This document provides an introduction to Go and gRPC. It discusses why Go is a good language choice, covers basics of Go like workspaces and GOPATH. It then introduces gRPC concepts like defining services with Protobuf, generating code, implementing servers and clients. It provides examples of simple RPC calls and streaming. It demonstrates gRPC vs REST and shows how Protobuf, gRPC and HTTP/2 fit together. Finally, it mentions resources for learning more about Go and gRPC.
Building Next generation progressive web apps with Isomorphic JavaScript
Building Next generation progressive web apps with Isomorphic JavaScriptNaren Arya This document discusses building isomorphic JavaScript applications for improved speed and SEO. It notes current concerns with single-page applications being slow and having poor SEO. The long-term goal is to design a new strategy that is SEO friendly, fast, uses JavaScript end-to-end, and has responsive design. Currently, single-page applications can be slow and use different stacks, while progressive web app development is not suitable for many frameworks. The document recommends interest in a future talk providing more information on developing applications with Node.js as the server and Browserify to pack code to the client.
Scaling Django to the sky
Scaling Django to the skyNaren Arya A PyCon India 2016 proposal for discussing Django bottlenecks in path of high performance and how to overcome them.
Python and riak a perfect couple for building
Python and riak a perfect couple for buildingNaren Arya Riak is a distributed database that provides features like 100% uptime, infinite scalability, fault tolerance and low latency. It uses a tunable Consistency-Availability-Partition tolerance (CAP) model and works well with Python. The Python client makes it simple to connect to Riak, create and store objects in buckets, and retrieve data. Riak is suitable for applications that need horizontal scaling and strong consistency for huge datasets, while remaining easy to develop and operate.
Julia for R programmers
Julia for R programmersNaren Arya This document discusses Julia, a programming language for technical computing that is similar to R but aims to provide both fast development and fast execution. It provides an overview of Julia's features, compares it to R, and gives an example of implementing a simple Gibbs sampler in both R and Julia. Julia code runs much faster than equivalent R code due to its just-in-time compilation, and it can also distribute computations across multiple processors. The document demonstrates Julia's syntax and shows how to define functions, templated methods, and new data types.
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Boosting python web apps with protocol buffers & grpc
- 1. Boosting Python Web Apps with Protocol Buffers & GRPC Naren Arya @Citrix R&D
- 2. Whoami ● Software Engineer 2 working @ Citrix R&D ● Blogger @IMpythonist & Medium ● Pythonista, Gopher and Open Source Lover A programmer with 4 eyes since 4th class
- 3. Why JSON is good? JSON is good because ● It is simple ● It is well accepted ● People cannot bear with XML ● REST popularity
- 4. Why JSON is dying ? JSON is dying because it is not better than Protocol Buffers!
- 5. What are protocol buffers? Just a format which looks exactly like Go structs Protobuf Go struct syntax ‘proto3’; message Person { string name = 1; int32 age = 2; } type Person struct { Name string Age int32 }
- 6. What are benefits I get with Protobuf? ● Binary encoding => Less Size ● HTTP/2 compliant => Many Goodies like Header compression ● Strict typing for checking data format ● Platform independent(Hey! JSON does this too)
- 7. Steps for using Protobuf with Python - 1 We need to do few things before playing with Protobuf ● Install protoc compiler on any machine ● Run this command protoc -I=$SRC_DIR --python_out=$DST_DIR $SRC_DIR/addressbook.proto
- 8. Steps for using Protobuf with Python - 2 ● Use the class file that generated ● Import respected classes in main program Important Methods SerializeToString(): serializes the message and returns it as a string. Note that the bytes are binary, not text; we only use the str type as a convenient container. ParseFromString(data): parses a message from the given string.
- 9. Nah nah, More things are kept for Final slide! Sneak Peek of upcoming slides: 1.Working with a real world example 2.Introducing GRPC 3.Building GRPC Servers and Clients in Python 4.Using Protobufs with GRPC to scale microservices 5.Everything is demonstrated with code! Wait and See until then! Bye