thamaraiselvam

Boy Scout Rule:
  Always leave the codebase cleaner than you found it

Code Smells:
  It is not a bug but hint of problem that makes your code difficult to understand, extend or maintain
  
Types:

1.Long Method
  Method that does multiple things(Againts SOLID Principles)

thamaraiselvam

Morning Session:
  Debug Applications faster:
    ☐ Angular -> Debug via Chrome Dev Tools
    ☐ NodeJS -> Auto Attachment

  Angular :
    Component Communication:
      ☐ Parent -> Child Via @Input
      ☐ Child -> Parent Via @ViewChild
      ☐ Child -> Parent Via @Output EventEmitters

thamaraiselvam

MEAN Stack Cheat-Sheet

Those who want to become a Full Stack Developer their first choice is MEAN Stack because it has a lot of scopes and easy to learn as well but preparing is hard so Here's a Cheat Sheet - Inspired by The Technical Interview Cheat Sheet.md

This list is meant to be both a quick guide and reference for further research into these topics. It's basically a summary of important topics, 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.

What the heck is MEAN Stack

thamaraiselvam

Introduction:
    ☐ What is Angular?
    ☐ Why is Angular?

Start:
    ☐ How to Install?
    ☐ How to create App?
    ☐ How to run App?

Architecture:

thamaraiselvam

OOP concepts - DONE
    Class, Constructors, Inheritance/asbstract, Extendable, Methods, Typescript - DONE

Database:
    RDBMS:
        Queries , Joins, Normalization, Advantages, Disadvantages
        Mongo Queries, Replica set, Sharding, Advantages, Disadvantages
        Difference between mysql no sql
        online nosql services
        elastic search

thamaraiselvam

Pair programming
    - State what you know
    - Ask questions
    - Start Simple
    - Should be extendable
    - Write tests

Data structure
-------------------
tree ( Eg: Filesystem tree, PATH /usr/home/tom)

thamaraiselvam

MongoDB Design patterns based on application usage perspective:
    The scheme depends on your application use case
        Data Access Patterns
        Number of reading vs update
        what is the size of expected documents


Performance issues in MongoDB:
    Schema Design:
    {

thamaraiselvam

Base 

Install atom here https://atom.io/
Install  atom-ide-ui and ide-php packages to make atom to Atom PHP IDE

Theme 
I love Monokai theme its really good in both sublime and atom
Go to install themes -> monokai -> install
Go to installed themes -> UI theme -> One Dark -> Syntax theme -> Monokai

thamaraiselvam

server {

	##DM - uncomment following line for domain mapping
	#listen 80 default_server;

	server_name dev.multisite.com;

	##DM - uncomment following line for domain mapping
	#server_name_in_redirect off;

thamaraiselvam

git filter-branch --env-filter '
WRONG_EMAIL="wrong@example.com"
NEW_NAME="New Name Value"
NEW_EMAIL="correct@example.com"

if [ "$GIT_COMMITTER_EMAIL" = "$WRONG_EMAIL" ]
then
    export GIT_COMMITTER_NAME="$NEW_NAME"
    export GIT_COMMITTER_EMAIL="$NEW_EMAIL"
fi