Algorithms for the Love of It - Revision history

LeahWaterpipe: emphasize prior preparation

2015-08-08T23:24:13Z

emphasize prior preparation

← Older revision		Revision as of 16:24, 8 August 2015
Line 3:		Line 3:


	= Learning ~~Tips~~ =		= Highly Suggested Learning Preparation =

	* It is extremely easy to forget this stuff unless you find a way to involve it in your everyday life (context) - always, always try to find some kind of relationship between these concepts and your every day code, no matter how obscure!		* If you come from a developers' bootcamp / didn't-study-Computer-Science-in-school background....., a big mistake many people like yourselves make is diving into a college-level Algorithms class first. I think it's much wiser to obtain a 500-900 page basic Data Structures Computer Science book, watch an online course on Coursera, and then augment that with the more comprehensive Algorithms course available on MIT.
	* Memorization is very important - do not believe otherwise!		* Memorization is '''very''' important - do not believe otherwise!
	* If you come from a ~~developer~~ bootcamp / didn't study ~~computer science~~ in school background - a big mistake many people make is diving into a college level ~~algorithms~~ class first. I think it's ~~wise~~ to ~~get~~ a 500-900 page basic Data Structures ~~computer science~~ book, watch an online course on Coursera, then augment that with the more comprehensive ~~algorithms~~ course available on MIT.		* It is extremely easy to forget this stuff unless you find a way to involve it in your everyday life (context) - '''always always''' try to find some kind of relationship between these concepts and your every day code, no matter how obscure!

	Formerly [https://noisebridge.net/wiki/(affiliated_with)_Women_Who_Code_Algorithms_Study_Group algorithms study group affiliated with women who code]		Formerly [https://noisebridge.net/wiki/(affiliated_with)_Women_Who_Code_Algorithms_Study_Group algorithms study group affiliated with women who code]

Romyilano: /* Learning Tips */

2015-08-08T17:33:52Z

Learning Tips

← Older revision		Revision as of 10:33, 8 August 2015
Line 7:		Line 7:
	* It is extremely easy to forget this stuff unless you find a way to involve it in your everyday life (context) - always, always try to find some kind of relationship between these concepts and your every day code, no matter how obscure!		* It is extremely easy to forget this stuff unless you find a way to involve it in your everyday life (context) - always, always try to find some kind of relationship between these concepts and your every day code, no matter how obscure!
	* Memorization is very important - do not believe otherwise!		* Memorization is very important - do not believe otherwise!
	* If you come from a developer bootcamp / didn't study computer science in school background - a big mistake many people make is diving into a college level algorithms class first~~. Most of the basics of algorithms are covered in a freshman level Data Structures class~~. I ~~highly recommend shelling out for~~ a ~~800 or~~ 900 page ~~college data structures~~ book~~. The problem with online classes is that they condense too much information into short 5 minute sound bites~~, ~~when what you really need is hundreds of hours of lectures and an even thicker textbook. The stanford iOS class isn't~~ an ~~algorithms class, but it teaches basic iOS development and is one of the best~~ online ~~courses out there. it is hundreds of hours of lectures and each lecture comes with hundreds of pages of notes. so yeah~~, that~~'s why you aren't learning~~ algorithms~~: industrialized learning with a few multiple choice questions in-between 5 minute sound bites isn't going to cut it. Once I got my hands~~ on a Data Structures text book I felt much less overwhelmed, and the lengthier explanations and examples made the coursework easier to understand. You honestly aren't going to encounter this stuff very often in your day to day life as a software engineer, but it's fun stuff to know and should be a good hobby you keep up unless you luck out and get one of those rare dream jobs at Google or academia.		* If you come from a developer bootcamp / didn't study computer science in school background - a big mistake many people make is diving into a college level algorithms class first. I think it's wise to get a 500-900 page basic Data Structures computer science book, watch an online course on Coursera, then augment that with the more comprehensive algorithms course available on MIT.

	Formerly [https://noisebridge.net/wiki/(affiliated_with)_Women_Who_Code_Algorithms_Study_Group algorithms study group affiliated with women who code]		Formerly [https://noisebridge.net/wiki/(affiliated_with)_Women_Who_Code_Algorithms_Study_Group algorithms study group affiliated with women who code]

Romyilano: /* Learning Tips */

2015-08-08T16:35:15Z

Learning Tips

← Older revision		Revision as of 09:35, 8 August 2015
Line 7:		Line 7:
	* It is extremely easy to forget this stuff unless you find a way to involve it in your everyday life (context) - always, always try to find some kind of relationship between these concepts and your every day code, no matter how obscure!		* It is extremely easy to forget this stuff unless you find a way to involve it in your everyday life (context) - always, always try to find some kind of relationship between these concepts and your every day code, no matter how obscure!
	* Memorization is very important - do not believe otherwise!		* Memorization is very important - do not believe otherwise!
	* If you come from a developer bootcamp / didn't study computer science in school background - a big mistake many people make is diving into a college level algorithms class first. Most of the basics of algorithms are covered in a freshman level Data Structures class. I highly recommend shelling out for a 800 or 900 page college data structures book. The problem with online classes is that they condense too much information into short 5 minute sound bites, when what you really need is hundreds of hours of lectures and an even thicker textbook. The stanford iOS class isn't an algorithms class, but it teaches basic iOS development and is one of the best online courses out there. it is hundreds of hours of lectures and each lecture comes with hundreds of pages of notes. so yeah, that's why you aren't learning algorithms. Once I got my hands on a Data Structures text book I felt much less overwhelmed, and the lengthier explanations and examples made the coursework easier to understand. You honestly aren't going to encounter this stuff very often in your day to day life as a software engineer, but it's fun stuff to know and should be a good hobby you keep up unless you luck out and get one of those rare dream jobs at Google or academia.		* If you come from a developer bootcamp / didn't study computer science in school background - a big mistake many people make is diving into a college level algorithms class first. Most of the basics of algorithms are covered in a freshman level Data Structures class. I highly recommend shelling out for a 800 or 900 page college data structures book. The problem with online classes is that they condense too much information into short 5 minute sound bites, when what you really need is hundreds of hours of lectures and an even thicker textbook. The stanford iOS class isn't an algorithms class, but it teaches basic iOS development and is one of the best online courses out there. it is hundreds of hours of lectures and each lecture comes with hundreds of pages of notes. so yeah, that's why you aren't learning algorithms: industrialized learning with a few multiple choice questions in-between 5 minute sound bites isn't going to cut it. Once I got my hands on a Data Structures text book I felt much less overwhelmed, and the lengthier explanations and examples made the coursework easier to understand. You honestly aren't going to encounter this stuff very often in your day to day life as a software engineer, but it's fun stuff to know and should be a good hobby you keep up unless you luck out and get one of those rare dream jobs at Google or academia.

	Formerly [https://noisebridge.net/wiki/(affiliated_with)_Women_Who_Code_Algorithms_Study_Group algorithms study group affiliated with women who code]		Formerly [https://noisebridge.net/wiki/(affiliated_with)_Women_Who_Code_Algorithms_Study_Group algorithms study group affiliated with women who code]

Romyilano: /* Learning Tips */

2015-08-08T16:34:47Z

Learning Tips

← Older revision		Revision as of 09:34, 8 August 2015
Line 7:		Line 7:
	* It is extremely easy to forget this stuff unless you find a way to involve it in your everyday life (context) - always, always try to find some kind of relationship between these concepts and your every day code, no matter how obscure!		* It is extremely easy to forget this stuff unless you find a way to involve it in your everyday life (context) - always, always try to find some kind of relationship between these concepts and your every day code, no matter how obscure!
	* Memorization is very important - do not believe otherwise!		* Memorization is very important - do not believe otherwise!
	* If you come from a developer bootcamp / didn't study computer science in school background - a big mistake many people make is diving into a college level algorithms class first. Most of the basics of algorithms are covered in a freshman level Data Structures class. I highly recommend shelling out for a 800 or 900 page college data structures book. The problem with online classes is that they condense too much information into short 5 minute sound bites, when what you really need is hundreds of hours of lectures and an even thicker textbook. Once I got my hands on a Data Structures text book I felt much less overwhelmed, and the lengthier explanations and examples made the coursework easier to understand. You honestly aren't going to encounter this stuff very often in your day to day life as a software engineer, but it's fun stuff to know and should be a good hobby you keep up unless you luck out and get one of those rare dream jobs at Google or academia.		* If you come from a developer bootcamp / didn't study computer science in school background - a big mistake many people make is diving into a college level algorithms class first. Most of the basics of algorithms are covered in a freshman level Data Structures class. I highly recommend shelling out for a 800 or 900 page college data structures book. The problem with online classes is that they condense too much information into short 5 minute sound bites, when what you really need is hundreds of hours of lectures and an even thicker textbook. The stanford iOS class isn't an algorithms class, but it teaches basic iOS development and is one of the best online courses out there. it is hundreds of hours of lectures and each lecture comes with hundreds of pages of notes. so yeah, that's why you aren't learning algorithms. Once I got my hands on a Data Structures text book I felt much less overwhelmed, and the lengthier explanations and examples made the coursework easier to understand. You honestly aren't going to encounter this stuff very often in your day to day life as a software engineer, but it's fun stuff to know and should be a good hobby you keep up unless you luck out and get one of those rare dream jobs at Google or academia.

	Formerly [https://noisebridge.net/wiki/(affiliated_with)_Women_Who_Code_Algorithms_Study_Group algorithms study group affiliated with women who code]		Formerly [https://noisebridge.net/wiki/(affiliated_with)_Women_Who_Code_Algorithms_Study_Group algorithms study group affiliated with women who code]

Romyilano: /* Learning Tips */

2015-08-08T16:21:07Z

Learning Tips

← Older revision		Revision as of 09:21, 8 August 2015
Line 7:		Line 7:
	* It is extremely easy to forget this stuff unless you find a way to involve it in your everyday life (context) - always, always try to find some kind of relationship between these concepts and your every day code, no matter how obscure!		* It is extremely easy to forget this stuff unless you find a way to involve it in your everyday life (context) - always, always try to find some kind of relationship between these concepts and your every day code, no matter how obscure!
	* Memorization is very important - do not believe otherwise!		* Memorization is very important - do not believe otherwise!
			* If you come from a developer bootcamp / didn't study computer science in school background - a big mistake many people make is diving into a college level algorithms class first. Most of the basics of algorithms are covered in a freshman level Data Structures class. I highly recommend shelling out for a 800 or 900 page college data structures book. The problem with online classes is that they condense too much information into short 5 minute sound bites, when what you really need is hundreds of hours of lectures and an even thicker textbook. Once I got my hands on a Data Structures text book I felt much less overwhelmed, and the lengthier explanations and examples made the coursework easier to understand. You honestly aren't going to encounter this stuff very often in your day to day life as a software engineer, but it's fun stuff to know and should be a good hobby you keep up unless you luck out and get one of those rare dream jobs at Google or academia.

	Formerly [https://noisebridge.net/wiki/(affiliated_with)_Women_Who_Code_Algorithms_Study_Group algorithms study group affiliated with women who code]		Formerly [https://noisebridge.net/wiki/(affiliated_with)_Women_Who_Code_Algorithms_Study_Group algorithms study group affiliated with women who code]

Romyilano at 16:18, 8 August 2015

2015-08-08T16:18:35Z

← Older revision		Revision as of 09:18, 8 August 2015
Line 9:		Line 9:

	Formerly [https://noisebridge.net/wiki/(affiliated_with)_Women_Who_Code_Algorithms_Study_Group algorithms study group affiliated with women who code]		Formerly [https://noisebridge.net/wiki/(affiliated_with)_Women_Who_Code_Algorithms_Study_Group algorithms study group affiliated with women who code]

			= Misc =

			* [http://www.businessinsider.com/lockharts-lament-math-education-is-wrong-2014-10 Everything about the way we teach math is wrong]
			* [https://www.maa.org/external_archive/devlin/LockhartsLament.pdf A mathematician's lament]

Romyilano at 16:55, 6 August 2015

2015-08-06T16:55:35Z

← Older revision		Revision as of 09:55, 6 August 2015
Line 6:		Line 6:

	* It is extremely easy to forget this stuff unless you find a way to involve it in your everyday life (context) - always, always try to find some kind of relationship between these concepts and your every day code, no matter how obscure!		* It is extremely easy to forget this stuff unless you find a way to involve it in your everyday life (context) - always, always try to find some kind of relationship between these concepts and your every day code, no matter how obscure!
	* Memorization is very important - do not believe otherwise!		* Memorization is very important - do not believe otherwise!

	Formerly [https://noisebridge.net/wiki/(affiliated_with)_Women_Who_Code_Algorithms_Study_Group algorithms study group affiliated with women who code]		Formerly [https://noisebridge.net/wiki/(affiliated_with)_Women_Who_Code_Algorithms_Study_Group algorithms study group affiliated with women who code]

Romyilano: /* Learning Tips */

2015-08-06T16:54:21Z

Learning Tips

← Older revision		Revision as of 09:54, 6 August 2015
Line 5:		Line 5:
	= Learning Tips =		= Learning Tips =

			* It is extremely easy to forget this stuff unless you find a way to involve it in your everyday life (context) - always, always try to find some kind of relationship between these concepts and your every day code, no matter how obscure!
	* Memorization is very important - do not believe otherwise!		* Memorization is very important - do not believe otherwise!

	Formerly [https://noisebridge.net/wiki/(affiliated_with)_Women_Who_Code_Algorithms_Study_Group algorithms study group affiliated with women who code]		Formerly [https://noisebridge.net/wiki/(affiliated_with)_Women_Who_Code_Algorithms_Study_Group algorithms study group affiliated with women who code]

Romyilano at 16:53, 6 August 2015

2015-08-06T16:53:43Z

← Older revision		Revision as of 09:53, 6 August 2015
Line 5:		Line 5:
	= Learning Tips =		= Learning Tips =

	* Memorization is very important - ~~before you can be creative you must paint with the same brushstroke thousands of times.~~ do not ~~even try to bring math into it until you have gotten the rote memorization down. Trust me, this is how it works~~!		* Memorization is very important - do not believe otherwise!


	Formerly [https://noisebridge.net/wiki/(affiliated_with)_Women_Who_Code_Algorithms_Study_Group algorithms study group affiliated with women who code]		Formerly [https://noisebridge.net/wiki/(affiliated_with)_Women_Who_Code_Algorithms_Study_Group algorithms study group affiliated with women who code]

Romyilano: /* Learning Tips */

2015-08-06T16:50:22Z

Learning Tips

← Older revision		Revision as of 09:50, 6 August 2015
Line 5:		Line 5:
	= Learning Tips =		= Learning Tips =

	* Memorization is very important		* Memorization is very important - before you can be creative you must paint with the same brushstroke thousands of times. do not even try to bring math into it until you have gotten the rote memorization down. Trust me, this is how it works!

	~~----~~

	* Formerly [https://noisebridge.net/wiki/(affiliated_with)_Women_Who_Code_Algorithms_Study_Group algorithms study group affiliated with women who code]		Formerly [https://noisebridge.net/wiki/(affiliated_with)_Women_Who_Code_Algorithms_Study_Group algorithms study group affiliated with women who code]