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This is my technical interview cheat sheet. Feel free to fork it or do whatever you want with it. PLEASE let me know if there are any errors or if anything crucial is missing. I will add more links soon.
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.
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Installing the Z Shell (zsh) on Linux, Mac OS X and Windows
Installing zsh – the easy way
The Z shell (zsh) is a Unix shell [...]. Zsh can be thought of as an extended Bourne shell with a large number of improvements, including some features of bash, ksh, and tcsh.
Tor Summer of Privacy Proposal: Load Balancing/High Availability Onion Services
What project would you like to work on? Use our ideas lists as a starting point or make up your own idea. Your proposal should include high-level descriptions of what you're going to do, with more details about the parts you expect to be tricky. Your proposal should also try to break down the project into tasks of a fairly fine granularity, and convince us you have a plan for finishing it. A timeline for what you will be doing throughout the summer is highly recommended.
I'm particularly interested in Tor onion services. I hope that they can facilitate widely deployed self-authenticating encrypted communication channels at scale.
Anecdotal reports suggest that the current onion services infrastructure does not scale well [1, #8902]. In particular onion service introduction points are susceptible to hammering by clients and malicious attackers. Denial of service attacks where a single Tor process is overloaded by an attackers have also been experienced recently [#15463].
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DynamoDB is a powerful, fully managed, low latency, NoSQL database service provided by Amazon. DynamoDB allows you to pay for dedicated throughput, with predictable performance for "any level of request traffic". Scalability is handled for you, and data is replicated across multiple availability zones automatically. Amazon handles all of the pain points associated with managing a distributed datastore for you, including replication, load balancing, provisioning, and backups. All that is left is for you to take your data, and its access patterns, and make it work in the denormalized world of NoSQL.
Modeling your data
The single most important part of using DynamoDB begins before you ever put data into it: designing the table(s) and keys. Keys (Amazon calls them primary keys) can be composed of one attribute, called a hash key, or a compound key called the hash and range key. The key is used to uniquely identify an item in a table. The choice of the primary key is particularl
This is my technical interview cheat sheet. Feel free to fork it or do whatever you want with it. PLEASE let me know if there are any errors or if anything crucial is missing. I will add more links soon.
ANNOUNCEMENT
I have moved this over to the Tech Interview Cheat Sheet Repo and has been expanded and even has code challenges you can run and practice against!