asraful

# path on linux /usr/share/dbeaver/dbeaver.ini
# path on macos /Applications/DBeaverEE.app/Contents/Eclipse/dbeaver.ini
-vm
/usr/bin/java
-startup
plugins/org.eclipse.equinox.launcher_1.5.600.v20191014-2022.jar
--launcher.library
plugins/org.eclipse.equinox.launcher.gtk.linux.x86_64_1.1.1100.v20190907-0426
-vmargs
-XX:+IgnoreUnrecognizedVMOptions

asraful

# IF YOU INCUR HUGE COSTS WITH THIS OR IT BREAKS DON'T BLAME ME License

# This is a throw-away script I wrote to pull the json events for all of the streams from a cloudwatch log
# For some reason, the naive way to do vpc network logging does logging to different streams in a cloudwatch
# log based on interface.
# Great for diagnosing lots of things, and generating verbose logs, but for the broad-stroke analysis I was doing,
# all I really wanted was the basic data. This would have been easier if I had logged to s3, but I did not see a
# way to do that in 2 clicks.

group_name = 'CHANGEME'

asraful

{
    "$schema": "https://schema.management.azure.com/schemas/2015-01-01/deploymentTemplate.json#",
    "contentVersion": "1.0.0.0",
    "parameters":{
        "databaseForMySqlAdminName": {
            "type": "string"
        },
        "databaseForMySqlAdminPassword": {
            "type": "securestring"
        },

asraful

<configuration>
    <appender name="FILE" class="ch.qos.logback.core.FileAppender">
      <file>myapp.log</file>
      <encoder><pattern>%logger{35} - [%F:%L] - %msg%n</pattern></encoder>
    </appender>

    <appender name="ASYNC" class="ch.qos.logback.classic.AsyncAppender">
      <appender-ref ref="FILE" />
      <!-- add the following line -->
      <includeCallerData>true</includeCallerData>

asraful

############ REQUIREMENTS ####################
# sudo apt-get install python-pip 
# sudo apt-get install libpq-dev
# sudo pip install psycopg2
# sudo pip install sqlalchemy
# sudo pip install sqlalchemy-redshift
##############################################

import sqlalchemy as sa
from sqlalchemy.orm import sessionmaker

asraful

ELK (Elasticsearch Logstash Kibana)

Though we're focused more on server setup procedure in this document, I will still give a very brief explanation in laymen terms for ELK. To those who are starting new in this stack, must have already heard of MVC (Model View Controller), so take it like this:

• Model => Elasticsearch (for Storage, Indexing & Search)
• View => Kibana (for DataViz & G-Man, yeah the one in half life 😏)
• Controller => Logstash (For Logs & Filtering)

---

asraful

Direct links to free Springer books (pdf versions)

Graduate texts in mathematics

duplicates = multiple editions

A Classical Introduction to Modern Number Theory, Kenneth Ireland Michael Rosen

A Classical Introduction to Modern Number Theory, Kenneth Ireland Michael Rosen

asraful

/****************************************************************************
 * Copyright 2009-2015 Jean-Philippe Gravel, P. Eng. CSDP
 * 
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
 * You may obtain a copy of the License at
 * 
 *     http://www.apache.org/licenses/LICENSE-2.0
 * 
 * Unless required by applicable law or agreed to in writing, software