> ama bugün gördüğünüz büyük listeye dönüştü. Bu çalışma planını tamamladıktan sonra, [Amazon tarafından
> Yazılım Geliştirme Mühendisi olarak işe alındım.](https://startupnextdoor.com/ive-been-acquired-by-amazon/?src=ciu)!
> Muhtemelen yaptığım kadar çok çalışmanıza gerek kalmayacaktır. Her neyse, ihtiyaç duyabileceğiniz her şey burada.
>
> Birkaç ay boyunca günde 8 - 12 saat çalıştım. İşte benim hikayem: [Neden bir Google mülakatı için 8 ay boyunca tam zamanlı çalıştım?](https://medium.freecodecamp.org/why-i-studied-full-time-for-8-months-for-a-google-interview-cc662ce9bb13)
>
> Burada listelenenler sizi herhangi bir yazılım firmasıyla yapacağınız teknik mülakata iyi bir şekilde hazırlar,
> büyük devler de dahil: Amazon, Facebook, Google, ve Microsoft.
Bu liste, yeni yazılım mühendisleri için veya web ya da yazılım geliştiriciliği alanlarından, yazılım mühendisliğine (bilgisayar bilimleri bilgisi gerekli) geçiş için hazırlanmıştır.
Eğer uzun yıllardır tecreübeniz varsa ve yazılım mühendisliği tecrübesi istiyorsanız, daha zor bir mülakat bekleyin.
Eğer uzun yıllardır yazılım/web geliştirme deneyiminiz varsa, Google, Amazon, Facebook ve Microsoft gibi büyük yazılım firmalarının yazılım mühendisliğini yazılım/web geliştirmekten farklı gördüğüne, ve bilgisayar bilimleri bilgisi istediğine dikkat edin.
Eğer güvenlik ya da operasyon mühendisi olmak istiyorsanız, opsiyonel listeden (network, güvenlik) konulara daha fazla çalışın.
- Eski bir Google görüşmecisinden yazılım mühendisi görüşmelerine kendinizi nasıl hazırlayacağınızı öğrenin.
- [ ] [Python for Data Structures, Algorithms, and Interviews (ücretli kurs)](https://www.udemy.com/python-for-data-structures-algorithms-and-interviews/):
- Veri yapılarını, algoritmaları, sahte mülakatları ve çok daha fazlasını kapsayan Python merkezli bir mülakat hazırlık kursu.
- [ ] [Intro to Data Structures and Algorithms using Python (Udacity ücretsiz kurs)](https://www.udacity.com/course/data-structures-and-algorithms-in-python--ud513):
- Ücretsiz bir Python merkezli veri yapıları ve algoritmaları kursu.
- Mülakatlara ve iş başında senaryolara hazırlanmanıza yardımcı olmak için özel bir danışmandan 100'den fazla veri yapısı ve algoritma alıştırmaları ve rehberliği ile uygulamalı pratik yapın.
- [ ] [Grokking the Behavioral Interview (Educative free course)](https://www.educative.io/courses/grokking-the-behavioral-interview):
- Çoğu zaman, sizi hayalinizdeki işe girmekten alıkoyan şey teknik yeterliliğiniz değil, görüşmede davranışsal nasıl performans gösterdiğinizdir.
## Mülakat İçin Bir Dil Seçin
Mülakatın kodlama bölümü için rahat hissettiğiniz bir dili kullanabilirsiniz, ancak büyük şirketler için, aşağıdakiler sağlam seçeneklerdir:
- C++
- Java
- Python
Ayrıca bunları da kullanabilirsin, ancak önce okuyun. Bazı uyarılar olabilir:
- JavaScript
- Ruby
İşte mülakat için bir dil seçme hakkında yazdığım bir makale: [Pick One Language for the Coding Interview](https://startupnextdoor.com/important-pick-one-language-for-the-coding-interview/).
Bir dilde çok rahat ve bilgili olmanız gerekmektedir.
[Dil kaynaklarına buradan göz atın](programming-language-resources.md)
Aşağıda C, C++ ve Python öğreniminin dahil olduğunu göreceksiniz, çünkü ben öğreniyorum. Alta bakarsanız bir kaç kitap dahil edilmiştir.
## Kitap Listesi
Kendi kullandığım kısa bir liste. Zamandan tasarruf etmenizi sağlayacaktır.
### Mülakat Hazırlığı
- [ ] [Programming Interviews Exposed: Coding Your Way Through the Interview, 4th Edition](https://www.amazon.com/Programming-Interviews-Exposed-Through-Interview/dp/111941847X/)
- C++ ve Java dillerinde cevaplar
- Cracking the Coding Interview için iyi bir ısınma
- çok zor değil, çoğu problem bir mülakatta göreceğinizden daha kolay (benim okuduğum kadarıyla)
- [ ] [Cracking the Coding Interview, 6th Edition](http://www.amazon.com/Cracking-Coding-Interview-6th-Programming/dp/0984782850/)
- Java dilinde cevaplar
### Eğer bir sürü ekstra vaktiniz varsa:
Birini seçin:
- [ ] [Elements of Programming Interviews (C++ version)](https://www.amazon.com/Elements-Programming-Interviews-Insiders-Guide/dp/1479274836)
- [ ] [Elements of Programming Interviews in Python](https://www.amazon.com/Elements-Programming-Interviews-Python-Insiders/dp/1537713949/)
- [ ] Elements of Programming Interviews (Java version)
- [Companion Project - Method Stub and Test Cases for Every Problem in the Book](https://github.com/gardncl/elements-of-programming-interviews)
### Spesifik Dil
**Mülakat için bir dil seçmeniz gerekir (alta bakın).** Dile göre önerilerim burada. Her dil için kaynaklara sahip değilim. İlaveleri memnuniyetle karşılarım.
Eğer bunlardan birini okursanız, kodlama problemlerini yapmaya başlamanız için gereken tüm veri yapılarına ve algoritma bilgisine sahip olmanız gerekir.
İnceleme yapmak istemiyorsanız **bu projedeki bütün video derslerini atlayabilirsiniz**
[Spesifik dillere özgü ek kaynaklar burada.](programming-language-resources.md)
### C++
Henüz bu ikisini okumadım, ancak Sedgewick tararından yüksek derecelendirilmiş ve yazılmıştır. O mükemmel biri.
- [ ] [Algorithms in C++, Parts 1-4: Fundamentals, Data Structure, Sorting, Searching](https://www.amazon.com/Algorithms-Parts-1-4-Fundamentals-Structure/dp/0201350882/)
- [ ] [Algorithms in C++ Part 5: Graph Algorithms](https://www.amazon.com/Algorithms-Part-Graph-3rd-Pt-5/dp/0201361183/)
- [ ] [Open Data Structures in C++](https://opendatastructures.org/ods-cpp.pdf)
- Rich and detailed collection of Data Structures and Algorithms
- Great for first-timers
C++ için daha iyi bir tavsiyeniz varsa, beni bilgilendirin. Kapsamlı bir kaynak arıyorum.
### Java
- [ ] [Algorithms (Sedgewick and Wayne)](https://www.amazon.com/Algorithms-4th-Robert-Sedgewick/dp/032157351X/)
- kitap içeriğiyle birlikte coursera videoları (ve Sedgewick!):
Kartlarla ilgili biraz aşırıya kaçtım, benim kartlarım Assembly dilinden Python'a, makine öğrenmesinden istatistiğe kadar bir çok şeyi kapsar. Gerekli olandan çok daha fazlasına sahip.
**Flashcardlarla ilgili not:** İlk defa cevabı bildiğinizi fark ederseniz, bildiğiniz gibi işaretlemeyin. Aynı kartı görmeniz ve
gerçekten bilmeden önce birkaç kez doğru cevaplamanız gerekir. Tekrarlama bu bilgiyi beyninizde derinleştirecektir.
Kullandığım flashcard siteme bir alternatif [Anki](http://ankisrs.net/), bana defalarca tavsiye edildi. Unutulmaması için bir tekrarlama sistemi kullanır.
Kullanıcı dostu, tüm platformlarda kullanılabilir ve bir bulut senkronizasyon sistemi vardır. iOS'da 25$, diğer platformlarda ücretsiz.
Benim flashcard veritabanımın Anki formatı: https://ankiweb.net/shared/info/25173560 (teşekkürler, [@xiewenya](https://github.com/xiewenya))
### 3. Veri yapıları ve algoritmaları öğrenirken kodlama mülakatına yönelik sorular yapın
Öğrendiklerinizi sorunları çözmek için uygulamanız gerekir, yoksa unutacaksınız. Bu hatayı yaptım. Bir konuyu öğrendikten sonra,
ve o konu üzerinde kendinizi rahat hissettikten sonra (örneğin bağlantılı listeler), kodlama mülakatı kitaplarından birini açın ve bununla ilgili birkaç soru yapın.
Ardından bir sonraki konuya geçin. Daha sonra geri dönün ve başka bir bağlantılı liste problemi yapın,
ya da özyineleme sorunu ya da her neyse. Ama öğrenirken problemler yapmaya devam edin. Bilgi için işe alınmıyorsun,
bilgiyi nasıl kullandığından işe alınıyorsun. Önerdiğim birkaç kitap ve site var.
Daha fazlası için buraya bakın: [Kodlama Soruları Pratiği](#coding-question-practice).
### 4. Tekrar, tekrar, tekrar
ASCII, OSI stack, Big-O notasyonu, ve daha fazlası üzerinde bir dizi kopya kağıdı tutarım. Boş zamanlarım olduğunda bunlara çalışırım.
Yarım saat için programlama problemlerine ara verin ve flashcard'larınıza geçin.
### 5. Focus
Değerli zamanınızı alabilecek bir çok dikkat dağıtıcı şey vardır. Odaklanma ve konsantrasyonda zorlanabilirsin. Arka fon müziği açarak gayet güzel bir şekilde odaklanabilirsin.
## Neyi görmeyeceksiniz
Bunlar yaygın teknolojilerdir ancak bu çalışma planının bir parçası değildir:
- SQL
- Javascript
- HTML, CSS, ve diğer front-end teknolojileri
## Günlük Plan
Bazı konular bir gün alır, ve bazıları birkaç gün sürer. Bazıları sadece öğrenilir, kullanılmaz.
Her gün aşağıdaki listeden bir konu alıyorum, bu konuyla ilgili videolar izliyorum, ve implemente ediyorum:
- C - struct * ve argüman olarak başka şeyler alan struct ve fonksiyonları kullanarak
- C++ - yerleşik türleri kullanmadan
- C++ - yerleşik türleri kullanarak, bağlı liste için STL'in std::list gibi
- Python - yerleşik türleri kullanarak (Python'la ilgili pratiğe devam etmek için)
- doğru yaptığımdan emin olmak için testler yazarım, bazen sadece basit assert() deyimleri kullanırım
- Java ya da başka bir şey yapabilirsin, bu sadece benim yaptıklarım.
Bunların hepsine ihtiyacın yok. Sadece [mülakat için bir dile](#pick-one-language-for-the-interview) ihtiyacın var.
Neden bunların hepsinde kod var?
- Bıkana kadar, pratik, pratik, pratik, ve sonra sorunsuzca yapılabilir (bazılarının bir çok edge-case'i var ve hatırlanması için defter tutma ayrıntıları var)
- Ham kısıtlamalar ile çalışın (Çöp toplayıcı yardımı olmadan belleği ayırma / boşaltma (Python ya da Java hariç))
- Yerleşik türlerden faydalanarak, yerleşik araçları gerçek dünya kullanımında tecrübe edindim. (kendi bağlı liste uygulamamı production'da kullanmayacağım.)
Her konu için bunları yapmaya vaktim olmayabilir, ama deneyeceğim.
- Bu kısa kitap C dili üzerinde büyük bir ipucu verir, ve biraz pratik yaparsanız hızlı bir şekilde yetkinleşebilirsiniz. C'yi anlarsanız programların ve belleğin nasıl çalıştığını anlarsınız.
- [Sorulara cevap verin](https://github.com/lekkas/c-algorithms)
- [ ]**Bilgisayarlar programları nasıl işlerler:**
- [ ] [CPU programı nasıl yürütür (video)](https://www.youtube.com/watch?v=42KTvGYQYnA)
- [ ] [Makine Kodu Talimatları (video)](https://www.youtube.com/watch?v=Mv2XQgpbTNE)
- [ ] [Registers ve RAM (video)](https://youtu.be/fpnE6UAfbtU)
- [ ] [Big O Notations (general quick tutorial) (video)](https://www.youtube.com/watch?v=V6mKVRU1evU)
- [ ] [Big O Notation (and Omega and Theta) - best mathematical explanation (video)](https://www.youtube.com/watch?v=ei-A_wy5Yxw&index=2&list=PL1BaGV1cIH4UhkL8a9bJGG356covJ76qN)
- [UC Berkeley CS61B - Lineer ve Çok Boyutlu Diziler (video)](https://archive.org/details/ucberkeley_webcast_Wp8oiO_CZZE) (İzlemenye 15:32'den başlayın)
- tüm video değil, Node yapısı ve bellek ayırma için olan bölümler.
- [ ] Bağlı Listeler vs Diziler:
- [Core Linked Lists Vs Arrays (video)](https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/rjBs9/core-linked-lists-vs-arrays)
- [In The Real World Linked Lists Vs Arrays (video)](https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/QUaUd/in-the-real-world-lists-vs-arrays)
- [ ] [neden bağlı listelerden kaçınmalısınız (video)](https://www.youtube.com/watch?v=YQs6IC-vgmo)
- [ ] Pointer için pointer bilgisine ihtiyacınız var:
(bir pointer'ı bir fonksiyona yolladığınızda, bu pointer'ın işaret ettiği adresi değiştirebilir.)
Bu sayfa ptr ile ptr arasında bir kavrayış elde etmek içindir. Bu listeyi yukarıdan aşağıya geçiş tarzını tavsiye etmiyorum. Okunabilirlik ve sürdürülebilirlik, zekice olması nedeniyle acı çekici oluyor.
- [Pointers to Pointers](https://www.eskimo.com/~scs/cclass/int/sx8.html)
- [ ] uygula (Kuyruk pointer ile & onsuz yaptım):
- [ ] size() - listedeki veri elementlerinin sayısını geri döndürür
- [ ] [Telefon Rehberi Problemi (video)](https://www.coursera.org/lecture/data-structures/phone-book-problem-NYZZP)
- [ ] dağıtık hash tabloları:
- [Instant Uploads And Storage Optimization In Dropbox (video)](https://www.coursera.org/lecture/data-structures/instant-uploads-and-storage-optimization-in-dropbox-DvaIb)
- [How To Count The Number Of Set Bits In a 32 Bit Integer](http://stackoverflow.com/questions/109023/how-to-count-the-number-of-set-bits-in-a-32-bit-integer)
- [ ] [Binary search tree - Implementation in C/C++ (video)](https://www.youtube.com/watch?v=COZK7NATh4k&list=PL2_aWCzGMAwI3W_JlcBbtYTwiQSsOTa6P&index=28)
- [ ] [BST implementation - memory allocation in stack and heap (video)](https://www.youtube.com/watch?v=hWokyBoo0aI&list=PL2_aWCzGMAwI3W_JlcBbtYTwiQSsOTa6P&index=29)
- [ ] [Find min and max element in a binary search tree (video)](https://www.youtube.com/watch?v=Ut90klNN264&index=30&list=PL2_aWCzGMAwI3W_JlcBbtYTwiQSsOTa6P)
- [ ] [Find height of a binary tree (video)](https://www.youtube.com/watch?v=_pnqMz5nrRs&list=PL2_aWCzGMAwI3W_JlcBbtYTwiQSsOTa6P&index=31)
- [ ] [Binary tree traversal - breadth-first and depth-first strategies (video)](https://www.youtube.com/watch?v=9RHO6jU--GU&list=PL2_aWCzGMAwI3W_JlcBbtYTwiQSsOTa6P&index=32)
- [ ] [Binary tree: Level Order Traversal (video)](https://www.youtube.com/watch?v=86g8jAQug04&index=33&list=PL2_aWCzGMAwI3W_JlcBbtYTwiQSsOTa6P)
- [ ] [Binary tree traversal: Preorder, Inorder, Postorder (video)](https://www.youtube.com/watch?v=gm8DUJJhmY4&index=34&list=PL2_aWCzGMAwI3W_JlcBbtYTwiQSsOTa6P)
- [ ] [Check if a binary tree is binary search tree or not (video)](https://www.youtube.com/watch?v=yEwSGhSsT0U&index=35&list=PL2_aWCzGMAwI3W_JlcBbtYTwiQSsOTa6P)
- [ ] [Delete a node from Binary Search Tree (video)](https://www.youtube.com/watch?v=gcULXE7ViZw&list=PL2_aWCzGMAwI3W_JlcBbtYTwiQSsOTa6P&index=36)
- [ ] [Inorder Successor in a binary search tree (video)](https://www.youtube.com/watch?v=5cPbNCrdotA&index=37&list=PL2_aWCzGMAwI3W_JlcBbtYTwiQSsOTa6P)
- [ ] Uygulama:
- [ ] insert // değeri ağaca ekler
- [ ] get_node_count // barındırılan düğümlerin sayısını verir
- Process resource needs (memory: code, static storage, stack, heap, and also file descriptors, i/o)
- Thread resource needs (shares above (minus stack) with other threads in the same process but each has its own pc, stack counter, registers, and stack)
- Forking is really copy on write (read-only) until the new process writes to memory, then it does a full copy.
- Context switching
- How context switching is initiated by the operating system and underlying hardware?
- [ ] [threads in C++ (series - 10 videos)](https://www.youtube.com/playlist?list=PL5jc9xFGsL8E12so1wlMS0r0hTQoJL74M)
- [ ] concurrency in Python (videos):
- [ ] [Short series on threads](https://www.youtube.com/playlist?list=PL1H1sBF1VAKVMONJWJkmUh6_p8g4F2oy1)
- [ ] [3. Character Based Operations](https://www.coursera.org/learn/algorithms-part2/lecture/jwNmV/character-based-operations)
- [ ] [Notes on Data Structures and Programming Techniques](http://www.cs.yale.edu/homes/aspnes/classes/223/notes.html#Tries)
- [ ] Short course videos:
- [ ] [Introduction To Tries (video)](https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/08Xyf/core-introduction-to-tries)
- [ ] [Performance Of Tries (video)](https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/PvlZW/core-performance-of-tries)
- [ ] [Implementing A Trie (video)](https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/DFvd3/core-implementing-a-trie)
- [ ] [The Trie: A Neglected Data Structure](https://www.toptal.com/java/the-trie-a-neglected-data-structure)
- [ ] [TopCoder - Using Tries](https://www.topcoder.com/community/competitive-programming/tutorials/using-tries/)
- [ ] [Stanford Lecture (real world use case) (video)](https://www.youtube.com/watch?v=TJ8SkcUSdbU)
- [ ] [MIT, Advanced Data Structures, Strings (can get pretty obscure about halfway through) (video)](https://www.youtube.com/watch?v=NinWEPPrkDQ&index=16&list=PLUl4u3cNGP61hsJNdULdudlRL493b-XZf)
- ### Floating Point Numbers
- [ ] simple 8-bit: [Representation of Floating Point Numbers - 1 (video - there is an error in calculations - see video description)](https://www.youtube.com/watch?v=ji3SfClm8TU)
- [ ] [The Absolute Minimum Every Software Developer Absolutely, Positively Must Know About Unicode and Character Sets]( http://www.joelonsoftware.com/articles/Unicode.html)
- [ ] [What Every Programmer Absolutely, Positively Needs To Know About Encodings And Character Sets To Work With Text](http://kunststube.net/encoding/)
- ### Endianness
- [ ] [Big And Little Endian](https://web.archive.org/web/20180107141940/http://www.cs.umd.edu:80/class/sum2003/cmsc311/Notes/Data/endian.html)
- [ ] [Big Endian Vs Little Endian (video)](https://www.youtube.com/watch?v=JrNF0KRAlyo)
- [ ] [Big And Little Endian Inside/Out (video)](https://www.youtube.com/watch?v=oBSuXP-1Tc0)
- Very technical talk for kernel devs. Don't worry if most is over your head.
- The first half is enough.
- ### Networking
- **if you have networking experience or want to be a reliability engineer or operations engineer, expect questions**
**You can expect system design questions if you have 4+ years of experience.**
- Scalability and System Design are very large topics with many topics and resources, since
there is a lot to consider when designing a software/hardware system that can scale.
Expect to spend quite a bit of time on this
- Considerations:
- Scalability
- Distill large data sets to single values
- Transform one data set to another
- Handling obscenely large amounts of data
- System design
- features sets
- interfaces
- class hierarchies
- designing a system under certain constraints
- simplicity and robustness
- tradeoffs
- performance analysis and optimization
- [ ]**START HERE**: [The System Design Primer](https://github.com/donnemartin/system-design-primer)
- [ ] [System Design from HiredInTech](http://www.hiredintech.com/system-design/)
- [ ] [How Do I Prepare To Answer Design Questions In A Technical Interview?](https://www.quora.com/How-do-I-prepare-to-answer-design-questions-in-a-technical-interview?redirected_qid=1500023)
- [ ] [8 Things You Need to Know Before a System Design Interview](http://blog.gainlo.co/index.php/2015/10/22/8-things-you-need-to-know-before-system-design-interviews/)
- [ ] [System Design Interview](https://github.com/checkcheckzz/system-design-interview) - There are a lot of resources in this one. Look through the articles and examples. I put some of them below
- [ ] [How to ace a systems design interview](http://www.palantir.com/2011/10/how-to-rock-a-systems-design-interview/)
- [ ] [Numbers Everyone Should Know](http://everythingisdata.wordpress.com/2009/10/17/numbers-everyone-should-know/)
- [ ] [How long does it take to make a context switch?](http://blog.tsunanet.net/2010/11/how-long-does-it-take-to-make-context.html)
- [ ] [Transactions Across Datacenters (video)](https://www.youtube.com/watch?v=srOgpXECblk)
- [ ] [A plain English introduction to CAP Theorem](http://ksat.me/a-plain-english-introduction-to-cap-theorem)
- [ ] [Engineering for the Long Game - Astrid Atkinson Keynote(video)](https://www.youtube.com/watch?v=p0jGmgIrf_M&list=PLRXxvay_m8gqVlExPC5DG3TGWJTaBgqSA&index=4)
- [ ] [7 Years Of YouTube Scalability Lessons In 30 Minutes](http://highscalability.com/blog/2012/3/26/7-years-of-youtube-scalability-lessons-in-30-minutes.html)
- [ ] [How PayPal Scaled To Billions Of Transactions Daily Using Just 8VMs](http://highscalability.com/blog/2016/8/15/how-paypal-scaled-to-billions-of-transactions-daily-using-ju.html)
- [ ] [How to Remove Duplicates in Large Datasets](https://blog.clevertap.com/how-to-remove-duplicates-in-large-datasets/)
- [ ] [A look inside Etsy's scale and engineering culture with Jon Cowie (video)](https://www.youtube.com/watch?v=3vV4YiqKm1o)
- [ ] [What Led Amazon to its Own Microservices Architecture](http://thenewstack.io/led-amazon-microservices-architecture/)
- [ ] [To Compress Or Not To Compress, That Was Uber's Question](https://eng.uber.com/trip-data-squeeze/)
- [ ] [When Should Approximate Query Processing Be Used?](http://highscalability.com/blog/2016/2/25/when-should-approximate-query-processing-be-used.html)
- [ ] [Google's Transition From Single Datacenter, To Failover, To A Native Multihomed Architecture]( http://highscalability.com/blog/2016/2/23/googles-transition-from-single-datacenter-to-failover-to-a-n.html)
- [ ] [The Image Optimization Technology That Serves Millions Of Requests Per Day](http://highscalability.com/blog/2016/6/15/the-image-optimization-technology-that-serves-millions-of-re.html)
- [ ] [Tinder: How Does One Of The Largest Recommendation Engines Decide Who You'll See Next?](http://highscalability.com/blog/2016/1/27/tinder-how-does-one-of-the-largest-recommendation-engines-de.html)
- [ ] [Design Of A Modern Cache](http://highscalability.com/blog/2016/1/25/design-of-a-modern-cache.html)
- [ ] [Live Video Streaming At Facebook Scale](http://highscalability.com/blog/2016/1/13/live-video-streaming-at-facebook-scale.html)
- [ ] [A Beginner's Guide To Scaling To 11 Million+ Users On Amazon's AWS](http://highscalability.com/blog/2016/1/11/a-beginners-guide-to-scaling-to-11-million-users-on-amazons.html)
- [ ] [A 360 Degree View Of The Entire Netflix Stack](http://highscalability.com/blog/2015/11/9/a-360-degree-view-of-the-entire-netflix-stack.html)
- [ ] [Latency Is Everywhere And It Costs You Sales - How To Crush It](http://highscalability.com/latency-everywhere-and-it-costs-you-sales-how-crush-it)
- [ ] [What Powers Instagram: Hundreds of Instances, Dozens of Technologies](http://instagram-engineering.tumblr.com/post/13649370142/what-powers-instagram-hundreds-of-instances)
- [ ] [Salesforce Architecture - How They Handle 1.3 Billion Transactions A Day](http://highscalability.com/blog/2013/9/23/salesforce-architecture-how-they-handle-13-billion-transacti.html)
- [ ] [ESPN's Architecture At Scale - Operating At 100,000 Duh Nuh Nuhs Per Second](http://highscalability.com/blog/2013/11/4/espns-architecture-at-scale-operating-at-100000-duh-nuh-nuhs.html)
- [ ] See "Messaging, Serialization, and Queueing Systems" way below for info on some of the technologies that can glue services together
- [ ] Twitter:
- [O'Reilly MySQL CE 2011: Jeremy Cole, "Big and Small Data at @Twitter" (video)](https://www.youtube.com/watch?v=5cKTP36HVgI)
- [Timelines at Scale](https://www.infoq.com/presentations/Twitter-Timeline-Scalability)
- For even more, see "Mining Massive Datasets" video series in the [Video Series](#video-series) section
- [ ] Practicing the system design process: Here are some ideas to try working through on paper, each with some documentation on how it was handled in the real world:
- review: [The System Design Primer](https://github.com/donnemartin/system-design-primer)
- [System Design from HiredInTech](http://www.hiredintech.com/system-design/)
- [Mathematics for Topcoders](https://www.topcoder.com/community/competitive-programming/tutorials/mathematics-for-topcoders/)
- [Dynamic Programming – From Novice to Advanced](https://www.topcoder.com/community/competitive-programming/tutorials/dynamic-programming-from-novice-to-advanced/)
**Read and Do Programming Problems (in this order):**
- [ ] [Programming Interviews Exposed: Coding Your Way Through the Interview, 4th Edition](https://www.amazon.com/Programming-Interviews-Exposed-Through-Interview/dp/111941847X)
- answers in C, C++ and Java
- [ ] [Cracking the Coding Interview, 6th Edition](http://www.amazon.com/Cracking-Coding-Interview-6th-Programming/dp/0984782850/)
- answers in Java
See [Book List above](#book-list)
## Coding exercises/challenges
Once you've learned your brains out, put those brains to work.
Take coding challenges every day, as many as you can.
- [How to Find a Solution](https://www.topcoder.com/community/competitive-programming/tutorials/how-to-find-a-solution/)
- [How to Dissect a Topcoder Problem Statement](https://www.topcoder.com/community/competitive-programming/tutorials/how-to-dissect-a-topcoder-problem-statement/)
- [Gainlo.co: Mock interviewers from big companies](http://www.gainlo.co/#!/) - I used this and it helped me relax for the phone screen and on-site interview
- [Pramp: Mock interviews from/with peers](https://www.pramp.com/) - peer-to-peer model of practice interviews
- [Refdash: Mock interviews and expedited interviews](https://refdash.com/) - also help candidates fast track by skipping multiple interviews with tech companies
- [interviewing.io: Practice mock interview with senior engineers](https://interviewing.io) - anonymous algorithmic/systems design interviews with senior engineers from FAANG anonymously.
## Once you're closer to the interview
- Cracking The Coding Interview Set 2 (videos):
- [Cracking The Code Interview](https://www.youtube.com/watch?v=4NIb9l3imAo)
- [Cracking the Coding Interview - Fullstack Speaker Series](https://www.youtube.com/watch?v=Eg5-tdAwclo)
## Best way to find perfect career opportunities for you
- If you are trying to find new job opportunities, or if you are trying to find internships, if want to know about the salary of a job role in any companies or want to just know about the company reputation before applying to that company, here are the list of platforms which can help you find the above answers and more.
- [Best Websites for Careers & Jobs](https://ayedot.com/151/MiniBlog/Top-10-Best-Websites-for-Careers--Jobs)
## Your Resume
- See Resume prep items in Cracking The Coding Interview and back of Programming Interviews Exposed
- Very Important thing to remember while creating your resume, if you applying for big companies is that make it ATS Compliant.
- [How to Create or Check if your Resume is ATS Compliant](https://ayedot.com/97/MiniBlog/Meaning-of-ATS-compliant-resume-and-How-to-create-ATS-Resume-for-Free)
## Be thinking of for when the interview comes
Think of about 20 interview questions you'll get, along with the lines of the items below. Have 2-3 answers for each.
Have a story, not just data, about something you accomplished.
- Why do you want this job?
- What's a tough problem you've solved?
- Biggest challenges faced?
- Best/worst designs seen?
- Ideas for improving an existing product
- How do you work best, as an individual and as part of a team?
- Which of your skills or experiences would be assets in the role and why?
- What did you most enjoy at [job x / project y]?
- What was the biggest challenge you faced at [job x / project y]?
- What was the hardest bug you faced at [job x / project y]?
- What did you learn at [job x / project y]?
- What would you have done better at [job x / project y]?
- If you find hard to come up with good answers of this type interview questions, you can refer below link for some answer templates and have some idea.
- [General Interview Questions and their Answers](https://ayedot.com/119/MiniBlog/General-Interview-Questions-and-their-Answers-for-Tech-Jobs)
- [Head First Design Patterns](https://www.amazon.com/gp/product/0596007124/)
- A gentle introduction to design patterns
- [Design Patterns: Elements of Reusable Object-Oriented Software](https://www.amazon.com/Design-Patterns-Elements-Reusable-Object-Oriented/dp/0201633612)
- AKA the "Gang Of Four" book, or GOF
- The canonical design patterns book
- [UNIX and Linux System Administration Handbook, 5th Edition](https://www.amazon.com/UNIX-Linux-System-Administration-Handbook/dp/0134277554/)
- [Write Great Code: Volume 1: Understanding the Machine](https://www.amazon.com/Write-Great-Code-Understanding-Machine/dp/1593270038)
- The book was published in 2004, and is somewhat outdated, but it's a terrific resource for understanding a computer in brief
- The author invented [HLA](https://en.wikipedia.org/wiki/High_Level_Assembly), so take mentions and examples in HLA with a grain of salt. Not widely used, but decent examples of what assembly looks like
- These chapters are worth the read to give you a nice foundation:
- Chapter 2 - Numeric Representation
- Chapter 3 - Binary Arithmetic and Bit Operations
- Chapter 4 - Floating-Point Representation
- Chapter 5 - Character Representation
- Chapter 6 - Memory Organization and Access
- Chapter 7 - Composite Data Types and Memory Objects
- Chapter 9 - CPU Architecture
- Chapter 10 - Instruction Set Architecture
- Chapter 11 - Memory Architecture and Organization
- [Introduction to Algorithms](https://www.amazon.com/Introduction-Algorithms-3rd-MIT-Press/dp/0262033844)
- **Important:** Reading this book will only have limited value. This book is a great review of algorithms and data structures, but won't teach you how to write good code. You have to be able to code a decent solution efficiently
- AKA CLR, sometimes CLRS, because Stein was late to the game
- [Computer Architecture, Sixth Edition: A Quantitative Approach](https://www.amazon.com/dp/0128119055)
- For a richer, more up-to-date (2017), but longer treatment
- Familiarize yourself with a unix-based code editor
- vi(m):
- [Editing With vim 01 - Installation, Setup, and The Modes (video)](https://www.youtube.com/watch?v=5givLEMcINQ&index=1&list=PL13bz4SHGmRxlZVmWQ9DvXo1fEg4UdGkr)
- [Core Markov Text Generation](https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/waxgx/core-markov-text-generation)
- [Core Implementing Markov Text Generation](https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/gZhiC/core-implementing-markov-text-generation)
- [Project = Markov Text Generation Walk Through](https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/EUjrq/project-markov-text-generation-walk-through)
- See more in MIT 6.050J Information and Entropy series below
- [How To Write A Bloom Filter App](http://blog.michaelschmatz.com/2016/04/11/how-to-write-a-bloom-filter-cpp/)
- ### HyperLogLog
- [How To Count A Billion Distinct Objects Using Only 1.5KB Of Memory](http://highscalability.com/blog/2012/4/5/big-data-counting-how-to-count-a-billion-distinct-objects-us.html)
- ### Locality-Sensitive Hashing
- Used to determine the similarity of documents
- The opposite of MD5 or SHA which are used to determine if 2 documents/strings are exactly the same
- [Simhashing (hopefully) made simple](http://ferd.ca/simhashing-hopefully-made-simple.html)
- ### van Emde Boas Trees
- [Divide & Conquer: van Emde Boas Trees (video)](https://www.youtube.com/watch?v=hmReJCupbNU&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp&index=6)
- [An Introduction To Binary Search And Red Black Tree](https://www.topcoder.com/thrive/articles/An%20Introduction%20to%20Binary%20Search%20and%20Red-Black%20Trees)
- [Geometric Algorithms: Graham & Jarvis - Lecture 10](https://www.youtube.com/watch?v=J5aJEcOr6Eo&index=10&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm)
- [Divide & Conquer: Convex Hull, Median Finding](https://www.youtube.com/watch?v=EzeYI7p9MjU&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp&index=2)
- ### Discrete math
- [Computer Science 70, 001 - Spring 2015 - Discrete Mathematics and Probability Theory](http://www.infocobuild.com/education/audio-video-courses/computer-science/cs70-spring2015-berkeley.html)
- [Discrete Mathematics by Shai Simonson (19 videos)](https://www.youtube.com/playlist?list=PLWX710qNZo_sNlSWRMVIh6kfTjolNaZ8t)
- [Discrete Mathematics By IIT Ropar NPTEL](https://nptel.ac.in/courses/106/106/106106183/)
- ### Machine Learning
- Why ML?
- [How Google Is Remaking Itself As A Machine Learning First Company](https://backchannel.com/how-google-is-remaking-itself-as-a-machine-learning-first-company-ada63defcb70)
- [Large-Scale Deep Learning for Intelligent Computer Systems (video)](https://www.youtube.com/watch?v=QSaZGT4-6EY)
- [Deep Learning and Understandability versus Software Engineering and Verification by Peter Norvig](https://www.youtube.com/watch?v=X769cyzBNVw)
I added these to reinforce some ideas already presented above, but didn't want to include them
above because it's just too much. It's easy to overdo it on a subject.
You want to get hired in this century, right?
- **SOLID**
- [ ] [Bob Martin SOLID Principles of Object Oriented and Agile Design (video)](https://www.youtube.com/watch?v=TMuno5RZNeE)
- [ ] S - [Single Responsibility Principle](http://www.oodesign.com/single-responsibility-principle.html) | [Single responsibility to each Object](http://www.javacodegeeks.com/2011/11/solid-single-responsibility-principle.html)
- [ ] O - [Open/Closed Principle](http://www.oodesign.com/open-close-principle.html) | [On production level Objects are ready for extension but not for modification](https://en.wikipedia.org/wiki/Open/closed_principle)
- [ ] L - [Liskov Substitution Principle](http://www.oodesign.com/liskov-s-substitution-principle.html) | [Base Class and Derived class follow ‘IS A’ Principle](http://stackoverflow.com/questions/56860/what-is-the-liskov-substitution-principle)
- [ ] I - [Interface segregation principle](http://www.oodesign.com/interface-segregation-principle.html) | clients should not be forced to implement interfaces they don't use
- [Interface Segregation Principle in 5 minutes (video)](https://www.youtube.com/watch?v=3CtAfl7aXAQ)
- [ ] D -[Dependency Inversion principle](http://www.oodesign.com/dependency-inversion-principle.html) | Reduce the dependency In composition of objects.
- [Why Is The Dependency Inversion Principle And Why Is It Important](http://stackoverflow.com/questions/62539/what-is-the-dependency-inversion-principle-and-why-is-it-important)
- [6.006: DP IV: Guitar Fingering, Tetris, Super Mario Bros.](https://www.youtube.com/watch?v=tp4_UXaVyx8&index=22&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb)
- [implemented in Go](https://godoc.org/github.com/thomas11/csp)
- [2003: The Google File System](http://static.googleusercontent.com/media/research.google.com/en//archive/gfs-sosp2003.pdf)
- replaced by Colossus in 2012
- [2004: MapReduce: Simplified Data Processing on Large Clusters]( http://static.googleusercontent.com/media/research.google.com/en//archive/mapreduce-osdi04.pdf)
- mostly replaced by Cloud Dataflow?
- [2006: Bigtable: A Distributed Storage System for Structured Data](https://static.googleusercontent.com/media/research.google.com/en//archive/bigtable-osdi06.pdf)
- [2006: The Chubby Lock Service for Loosely-Coupled Distributed Systems](https://research.google.com/archive/chubby-osdi06.pdf)
- [2007: Dynamo: Amazon’s Highly Available Key-value Store](http://s3.amazonaws.com/AllThingsDistributed/sosp/amazon-dynamo-sosp2007.pdf)
- The Dynamo paper kicked off the NoSQL revolution
- [2007: What Every Programmer Should Know About Memory (very long, and the author encourages skipping of some sections)](https://www.akkadia.org/drepper/cpumemory.pdf)
- 2012: AddressSanitizer: A Fast Address Sanity Checker:
- [2014: Machine Learning: The High-Interest Credit Card of Technical Debt](http://static.googleusercontent.com/media/research.google.com/en//pubs/archive/43146.pdf)
- [2015: Continuous Pipelines at Google](http://static.googleusercontent.com/media/research.google.com/en//pubs/archive/43790.pdf)
- [2015: High-Availability at Massive Scale: Building Google’s Data Infrastructure for Ads](https://static.googleusercontent.com/media/research.google.com/en//pubs/archive/44686.pdf)
