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Install and run your first noSQL MongoDB on Mac OSX
Classified as a NoSQL database, MongoDB is an open source, document-oriented database designed with both scalability and developer agility in mind. Instead of storing your data in tables and rows as you would with a relational database, in MongoDB you store JSON-like documents with dynamic schemas; This makes the integration of data in certain types of application easier and faster.
Why?
MongoDB can help you make a difference to the business. Tens of thousands of organizations, from startups to the largest companies and government agencies, choose MongoDB because it lets them build applications that weren’t possible before. With MongoDB, these organizations move faster than they could with relational databases at one tenth of the cost. With MongoDB, you can do things you could never do before.
- Install Homebrew
$ /usr/bin/ruby -e “$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/master/install)”
Homebrew installs the stuff you need that Apple didn’t.
$ brew install wget - Install MongoDB
$ brew install mongodb - Run MongoDB
Create the data directory: $ mkdir -p /data/db
Set permissions for the data directory:$ chown -R you:yourgroup /data/db then chmod -R 775 /data/db
Run MongoDB (as non root): $ mongod - Begin using MongoDB.(MongoDB will be running as soon as you ran mongod above)Open another terminal and run: mongo
- Install Homebrew
References: https://docs.mongodb.com/manual/tutorial/install-mongodb-on-os-x/
JSON : JavaScript Object Notation


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What is JSON : JavaScript Object Notation?
Source: https://www.json.com/
What is JSON?
JSON is a lightweight text-based open standard designed for human-readable data. It is the most widely used format for exchanging data on the web. It originates from the JavaScript language and is represented with two primary data structures: ordered lists (recognized as ‘arrays’) and name/value pairs (recognized as ‘objects’).
Why JSON?
The JSON standard is language-independent and its data structures, arrays and objects, are universally recognized. These structures are supported in some way by nearly all modern programming languages and are familiar to nearly all programmers. These qualities make it an ideal format for data interchange on the web.
JSON vs XML
The XML specification does not match the data model for most programming languages which makes it slow and tedious for programmers to parse. Compared to JSON, XML has a low data-to-markup ratio which results in it being more difficult for humans to read and write.
JSON Data Types
- Number{ “myNum”: 123.456 }
A series of numbers; decimals ok; double-precision floating-point format. - String{ “myString”: “abcdef” }
A series of characters (letters, numbers, or symbols); double-quoted UTF-8 with backslash escaping. - Boolean{ “myBool”: true }
True or false. - Array{ “myArray”: [ “a”, “b”, “c”, “d” ] }
Sequence of comma-separated values (any data type); enclosed in square brackets. - Object{ “myObject”: { “id”: 7 } };
Unordered collection of comma-separated key/value pairs; enclosed in curly braces; properties (keys) are distinct strings. - Null{ “myNull”: null }
Variable with null (empty) value.
Unsupported Data Types
- Undefinedvar myUndefined;
Variable with no value assigned. - Datevar myDate = new Date();
Object used to work with dates and times. - Errorvar myError = new Error();
Object containing information about errors. - Regular Expressionvar myRegEx = /json/i;
Variable containing a sequence of characters that form a search pattern. - Functionvar myFunction = function(){};
Variable containing a block of code designed to perform a particular task.
JSON cheat sheet
Example1: Mixed Data Types
var myObject = {
“myNumber”: 123.456,
“myString”: “abcdef”,
“myBool”: true,
“myArray”: [ “a”, “b”, “c”, “d” ],
“myObject”: { “id”: 7 },
“myNull”: null
};
Example2: Send HTTP POST request with JSON to a http://url with the following string fields: ‘first_name’, ‘last_name’, ’email’, ‘phone’,’urls’
curl -X POST -d ‘{“first_name”: “John”, “last_name”: “Doe”, “email”: “johndoe@email.com”, “phone”: “000-000-0000″,”urls”: [“https://djamga.com”,”https://enoumen.com”,”http://twitter.com/enoumen”]}’ http:/url -H ‘Content-Type: application/json’
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Google Workspace is a cloud-based productivity suite that helps teams communicate, collaborate and get things done from anywhere and on any device. It's simple to set up, use and manage, so your business can focus on what really matters.
Watch a video or find out more here.
Here are some highlights:
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Access from any location or device
Check emails, share files, edit documents, hold video meetings and more, whether you're at work, at home or on the move. You can pick up where you left off from a computer, tablet or phone.
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Robust admin settings give you total command over users, devices, security and more.
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List of Freely available programming books - What is the single most influential book every Programmers should read
- Bjarne Stroustrup - The C++ Programming Language
- Brian W. Kernighan, Rob Pike - The Practice of Programming
- Donald Knuth - The Art of Computer Programming
- Ellen Ullman - Close to the Machine
- Ellis Horowitz - Fundamentals of Computer Algorithms
- Eric Raymond - The Art of Unix Programming
- Gerald M. Weinberg - The Psychology of Computer Programming
- James Gosling - The Java Programming Language
- Joel Spolsky - The Best Software Writing I
- Keith Curtis - After the Software Wars
- Richard M. Stallman - Free Software, Free Society
- Richard P. Gabriel - Patterns of Software
- Richard P. Gabriel - Innovation Happens Elsewhere
- Code Complete (2nd edition) by Steve McConnell
- The Pragmatic Programmer
- Structure and Interpretation of Computer Programs
- The C Programming Language by Kernighan and Ritchie
- Introduction to Algorithms by Cormen, Leiserson, Rivest & Stein
- Design Patterns by the Gang of Four
- Refactoring: Improving the Design of Existing Code
- The Mythical Man Month
- The Art of Computer Programming by Donald Knuth
- Compilers: Principles, Techniques and Tools by Alfred V. Aho, Ravi Sethi and Jeffrey D. Ullman
- Gödel, Escher, Bach by Douglas Hofstadter
- Clean Code: A Handbook of Agile Software Craftsmanship by Robert C. Martin
- Effective C++
- More Effective C++
- CODE by Charles Petzold
- Programming Pearls by Jon Bentley
- Working Effectively with Legacy Code by Michael C. Feathers
- Peopleware by Demarco and Lister
- Coders at Work by Peter Seibel
- Surely You're Joking, Mr. Feynman!
- Effective Java 2nd edition
- Patterns of Enterprise Application Architecture by Martin Fowler
- The Little Schemer
- The Seasoned Schemer
- Why's (Poignant) Guide to Ruby
- The Inmates Are Running The Asylum: Why High Tech Products Drive Us Crazy and How to Restore the Sanity
- The Art of Unix Programming
- Test-Driven Development: By Example by Kent Beck
- Practices of an Agile Developer
- Don't Make Me Think
- Agile Software Development, Principles, Patterns, and Practices by Robert C. Martin
- Domain Driven Designs by Eric Evans
- The Design of Everyday Things by Donald Norman
- Modern C++ Design by Andrei Alexandrescu
- Best Software Writing I by Joel Spolsky
- The Practice of Programming by Kernighan and Pike
- Pragmatic Thinking and Learning: Refactor Your Wetware by Andy Hunt
- Software Estimation: Demystifying the Black Art by Steve McConnel
- The Passionate Programmer (My Job Went To India) by Chad Fowler
- Hackers: Heroes of the Computer Revolution
- Algorithms + Data Structures = Programs
- Writing Solid Code
- JavaScript - The Good Parts
- Getting Real by 37 Signals
- Foundations of Programming by Karl Seguin
- Computer Graphics: Principles and Practice in C (2nd Edition)
- Thinking in Java by Bruce Eckel
- The Elements of Computing Systems
- Refactoring to Patterns by Joshua Kerievsky
- Modern Operating Systems by Andrew S. Tanenbaum
- The Annotated Turing
- Things That Make Us Smart by Donald Norman
- The Timeless Way of Building by Christopher Alexander
- The Deadline: A Novel About Project Management by Tom DeMarco
- The C++ Programming Language (3rd edition) by Stroustrup
- Patterns of Enterprise Application Architecture
- Computer Systems - A Programmer's Perspective
- Agile Principles, Patterns, and Practices in C# by Robert C. Martin
- Growing Object-Oriented Software, Guided by Tests
- Framework Design Guidelines by Brad Abrams
- Object Thinking by Dr. David West
- Advanced Programming in the UNIX Environment by W. Richard Stevens
- Hackers and Painters: Big Ideas from the Computer Age
- The Soul of a New Machine by Tracy Kidder
- CLR via C# by Jeffrey Richter
- The Timeless Way of Building by Christopher Alexander
- Design Patterns in C# by Steve Metsker
- Alice in Wonderland by Lewis Carol
- Zen and the Art of Motorcycle Maintenance by Robert M. Pirsig
- About Face - The Essentials of Interaction Design
- Here Comes Everybody: The Power of Organizing Without Organizations by Clay Shirky
- The Tao of Programming
- Computational Beauty of Nature
- Writing Solid Code by Steve Maguire
- Philip and Alex's Guide to Web Publishing
- Object-Oriented Analysis and Design with Applications by Grady Booch
- Effective Java by Joshua Bloch
- Computability by N. J. Cutland
- Masterminds of Programming
- The Tao Te Ching
- The Productive Programmer
- The Art of Deception by Kevin Mitnick
- The Career Programmer: Guerilla Tactics for an Imperfect World by Christopher Duncan
- Paradigms of Artificial Intelligence Programming: Case studies in Common Lisp
- Masters of Doom
- Pragmatic Unit Testing in C# with NUnit by Andy Hunt and Dave Thomas with Matt Hargett
- How To Solve It by George Polya
- The Alchemist by Paulo Coelho
- Smalltalk-80: The Language and its Implementation
- Writing Secure Code (2nd Edition) by Michael Howard
- Introduction to Functional Programming by Philip Wadler and Richard Bird
- No Bugs! by David Thielen
- Rework by Jason Freid and DHH
- JUnit in Action
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Today I Learned (TIL) You learn something new every day; what did you learn today? Submit interesting and specific facts about something that you just found out here.
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