palash25

Studying for a Tech Interview Sucks, so Here's a Cheat Sheet to Help

This list is meant to be a both a quick guide and reference for further research into these topics. It's basically a summary of that comp sci course you never took or forgot about, so there's no way it can cover everything in depth. It also will be available as a gist on Github for everyone to edit and add to.

Data Structure Basics

###Array ####Definition:

• Stores data elements based on an sequential, most commonly 0 based, index.
• Based on tuples from set theory.

palash25

How to Set up an Ethereum Dev Environment

So you want to be an Ethereum developer! Congrats, much treasure awaits you. Developing Ethereum dapps benefits from having a well-crafted development environment. This can often be daunting to beginners, so I'm giving you my favorite dev environment to help get you started.

Once your code fortress is constructed, you'll be able to

• Compile smart contracts written in Solidity

palash25

import asyncio
loop = asyncio.get_event_loop()

async def hello():
    await asyncio.sleep(3)
    print('Hello!')
    
if __name__ == '__main__':
    loop.run_until_complete(hello())
    

palash25

System Design Cheatsheet

Picking the right architecture = Picking the right battles + Managing trade-offs

Basic Steps

1. Clarify and agree on the scope of the system

• User cases (description of sequences of events that, taken together, lead to a system doing something useful)
  • Who is going to use it?
  • How are they going to use it?

palash25

Check https://www.meebey.net/posts/ethereum_gpu_mining_on_linux_howto/

For Claymore setup:

https://bitcointalk.org/index.php?topic=1433925.0

http://1stminingrig.com/tutorial-ethereum-mining-rig-part-4-ethos-installation/

https://www.cryptocompare.com/mining/guides/how-to-mine-ethereum/

palash25

package client

import (
	"context"
	"crypto/md5"
	"crypto/tls"
	"encoding/json"
	"errors"
	"fmt"
	"net"

palash25

Studying for a Tech Interview Sucks, so Here's a Cheat Sheet to Help

This list is meant to be a both a quick guide and reference for further research into these topics. It's basically a summary of that comp sci course you never took or forgot about, so there's no way it can cover everything in depth. It also will be available as a gist on Github for everyone to edit and add to.

Data Structure Basics

###Array ####Definition:

• Stores data elements based on an sequential, most commonly 0 based, index.
• Based on tuples from set theory.

palash25

package main

import (
	"encoding/json"
	"fmt"
	"reflect"

	elastic "gopkg.in/olivere/elastic.v3"
)

palash25

// This is an example of using elastic's BulkProcessor with Elasticsearch.
// 
// See https://github.com/olivere/elastic and
// and https://github.com/olivere/elastic/wiki/BulkProcessor
// for more details.

/*
 * This example illustrates a simple process that performs bulk processing
 * with Elasticsearch using the BulkProcessor in elastic.
 *

palash25

Benchmarking Nginx with Go

There are a lot of ways to serve a Go HTTP application. The best choices depend on each use case. Currently nginx looks to be the standard web server for every new project even though there are other great web servers as well. However, how much is the overhead of serving a Go application behind an nginx server? Do we need some nginx features (vhosts, load balancing, cache, etc) or can you serve directly from Go? If you need nginx, what is the fastest connection mechanism? This are the kind of questions I'm intended to answer here. The purpose of this benchmark is not to tell that Go is faster or slower than nginx. That would be stupid.

So, these are the different settings we are going to compare:

• Go HTTP standalone (as the control group)
• Nginx proxy to Go HTTP
• Nginx fastcgi to Go TCP FastCGI
• Nginx fastcgi to Go Unix Socket FastCGI