diff --git a/Ajay_Reference_HP.pdf b/Ajay_Reference_HP.pdf new file mode 100644 index 0000000..80e92d4 Binary files /dev/null and b/Ajay_Reference_HP.pdf differ diff --git a/NGT_Reference.JPG b/NGT_Reference.JPG new file mode 100644 index 0000000..db27d76 Binary files /dev/null and b/NGT_Reference.JPG differ diff --git a/README.md b/README.md index d8809c7..ff9bb8a 100644 --- a/README.md +++ b/README.md @@ -1,117 +1,106 @@ -# Interests -Reference material - -Content: [Networking](#Networking), [Programming](#Programming), [Learning](#Learning) - -##Networking## -###Software Defined Networking### -* Intent Based Network Programming [NetKAT, Cornell](http://www.cs.cornell.edu/~kozen/papers/probnetkat.pdf) [Tierless Programming](https://cs.brown.edu/~sk/Publications/Papers/Published/nfsk-flowlog-tierless/paper.pdf) [Slick Control Plane - Jennifer Rexford](http://conferences.sigcomm.org/sigcomm/2013/papers/hotsdn/p147.pdf) [SoftCell](https://www.cs.princeton.edu/~jrex/papers/softcell13.pdf) [StEERING](http://ieeexplore.ieee.org/xpl/login.jsp?tp=&arnumber=6733615&url=http%3A%2F%2Fieeexplore.ieee.org%2Fiel7%2F6718434%2F6733561%2F06733615.pdf%3Farnumber%3D6733615) [MeasuRouting](http://yuba.stanford.edu/~srini/publications.html) [Logic Programming: Princeton](https://www.cs.princeton.edu/~dpw/papers/xldi-2012.pdf) [FRESCO: Texas A & M](http://www.csl.sri.com/users/vinod/papers/fresco.pdf) [Kinetic](http://resonance.noise.gatech.edu/) [Network Intent Composition: Open Day Light](https://wiki.opendaylight.org/view/) - -##Programming## -### Source Control -* [Git from the bottom up](http://jwiegley.github.io/git-from-the-bottom-up/) -* [Markdown syntax](https://github.com/adam-p/markdown-here/wiki/Markdown-Cheatsheet) -* [My Git Notes](https://github.com/ajaycode/interests/blob/master/git_summary.md) - -### Testing### -* [Software Testing Wheel](https://dzone.com/articles/the-software-testing-wheel?utm_source=Weekly%20Digest&utm_medium=email&utm_campaign=wd%202016-01-27) - -### Compilers & Interpreters -* [Lets build a simple interpreter](http://ruslanspivak.com/lsbasi-part1/) -* [Compiler Fundamentals](http://www.learn-computing-directory.org/languages-and-programming/compilers-fundamentals.html) - -### Algorithms ### -* [Algorithms etc](http://web.engr.illinois.edu/~jeffe/teaching/algorithms/) - Jeff Erickson, UIUC -* [Visualization of algorithms](http://visualgo.net/) - -### Python -* [Dive into Machine Learning](https://github.com/hangtwenty/dive-into-machine-learning) with iPython and sci-kit -* Language [Hackr.io](http://hackr.io/tutorials/python)[Welcome to Python for you & me](http://pymbook.readthedocs.org/en/latest/) -* Decorators [Stack Over Flow](http://stackoverflow.com/questions/739654/how-can-i-make-a-chain-of-function-decorators-in-python/1594484#1594484), Decorators in 12 Easy Steps(http://simeonfranklin.com/blog/2012/jul/1/python-decorators-in-12-steps/) -* Django [Django Girls](https://www.gitbook.com/book/djangogirls/djangogirls-tutorial/details), [ShowMeDo Videos](http://showmedo.com/videotutorials/django), Lanyrd [1](http://lanyrd.com/topics/django/video/),[2](http://lanyrd.com/search/?coverage=video&show=all&topics=django&type=session) -* [Pandas Tutorial](https://github.com/jreback/pydatanyc2015) from PyDataNYC 2015 -* [List Comprehensions in Python](http://treyhunner.com/2015/12/python-list-comprehensions-now-in-color/) -* [Text Classifier in Python](http://stevenloria.com/how-to-build-a-text-classification-system-with-python-and-textblob/) -* [Python Coding Reddit](https://www.reddit.com/r/pythoncoding) -* [Baby steps in Python – Exploratory analysis in Python (using Pandas)](http://www.analyticsvidhya.com/blog/2014/08/baby-steps-python-performing-exploratory-analysis-python/) Uses data set from Kaggle -* [Scipy Lecture Notes](http://www.scipy-lectures.org/) - Tutorial on Python, NumPy, Matplotlib, Scipy, Scikit-learn... -* [Elements of Python Style](https://github.com/amontalenti/elements-of-python-style) -* [Overview of Python Visualization Tools](http://pbpython.com/visualization-tools-1.html) Also includes samples for seaborn, usage of powerpoint and excel files - -### D3### -* [Scott Murray](http://alignedleft.com/tutorials/d3/) [Comments](https://news.ycombinator.com/item?id=10831045) -* [Teaching a Semester of D3.js](http://blogger.ghostweather.com/2016/01/teaching-semester-of-d3js.html) - [Course Material](http://arnicas.github.io/interactive-vis-course/) - Lynn Cherny - - -##Learning## -### Online Courses -* [1150 Podcasts/Videos across many STEM and other subjects](http://www.openculture.com/freeonlinecourses) -* [Coding the Matrix: Linear Algebra through Computer Science Applications](https://class.coursera.org/matrix-002/wiki/software-environment) - - -### Online Textbooks -* [Programming Languages, Tools, Algorithms, Compilers, ML, Math](https://github.com/vhf/free-programming-books/blob/master/free-programming-books.md) - GitHub -* [Biology, Business, Chemistry, Classics, Computer Science, Earth Science, Economics, Education, Electrical Engineering, History, Mathematics, Physics, Political Science, Sociology and more...](http://www.openculture.com/free_textbooks) -* [Statistics](https://www.openintro.org/stat/textbook.php?stat_book=reset) -* [Probability Theory](http://bayes.wustl.edu/etj/prob/book.pdf) : The Logic of Science -* [The Elements of Statistical Learning](https://web.stanford.edu/~hastie/local.ftp/Springer/OLD/ESLII_print4.pdf) Data Mining, Inference and Prediction -* [A Programmer's Guide to Data Mining](http://guidetodatamining.com/) Practical Data Mining, Collective Intelligence and Recommendation Systems by Ron Zacharski - -### Talks -* [TED Talks](https://www.youtube.com/user/TEDtalksDirector) -* [STRATFOR](https://www.youtube.com/user/STRATFORvideo/videos) - -### Machine Learning -* [Introduction to Machine Learning](https://docs.google.com/presentation/d/1O6ozzZHHxGzU-McpvEG09hl7K6oQDd2Taw0FOlnxJc8/preview?slide=id.p) by Quentin de Laroussilhe -* [ML is fun](https://medium.com/@ageitgey/machine-learning-is-fun-80ea3ec3c471#.2j0xckpik) -* [AWS ML Videos](https://cloudacademy.com/amazon-web-services/courses/amazon-machine-learning/) -* [Data Quest](https://www.dataquest.io/blog/how-to-actually-learn-data-science/) - How to learn Data Science? -* [Machine Learning iPython Notebook](https://github.com/rhiever/Data-Analysis-and-Machine-Learning-Projects/blob/master/example-data-science-notebook/Example%20Machine%20Learning%20Notebook.ipynb) -* [ML for developers](http://xyclade.github.io/MachineLearning/) - Mike de Waard -* [ML Cheat Sheet](http://download.microsoft.com/download/A/6/1/A613E11E-8F9C-424A-B99D-65344785C288/microsoft-machine-learning-algorithm-cheat-sheet-v6.pdf) -* [Deep Learning](http://goodfeli.github.io/dlbook/)Deep Learning Text from MIT - work in progress -* [Machine Learning Tutorials](https://azure.microsoft.com/en-us/services/machine-learning/) in Azure -* [Statistical Learning](https://lagunita.stanford.edu/courses/HumanitiesSciences/StatLearning/Winter2016/about) Introductory course in supervised learning from Stanford. Starts Jan 12, 2016. Uses [An Introduction to Statistical Learning](http://www-bcf.usc.edu/~gareth/ISL/ISLR%20Fourth%20Printing.pdf) text, from the same authors. -* [ML Data Set Repository](http://archive.ics.uci.edu/ml/) for UC Irvine -* [Statistical Data Mining Tutorials](http://www.autonlab.org/tutorials/) Slides on ML by Andrew Moore -* [ML in a week](https://blog.skcript.com/machine-learning-in-a-week-a0da25d59850#.5ivzdvok5) Blog post by Per Harald Borgen -* [Will it Python](http://slendermeans.org/pages/will-it-python.html) Conversion of code from ["ML for Hackers"](http://www.amazon.com/Machine-Learning-Hackers-Drew-Conway/dp/1449303714) book into Python -* [Understanding Machine Learning - From Theory To Algorithms](http://www.cs.huji.ac.il/~shais/UnderstandingMachineLearning/understanding-machine-learning-theory-algorithms.pdf) Text by Shai Shalev-Shwartz and Shai Ben-David -* [word2vec: A word is worth a thousand vectors](http://multithreaded.stitchfix.com/blog/2015/03/11/word-is-worth-a-thousand-vectors/) - -####Neural Networks#### -* [How I Learned To Code Neural Networks In 2015](https://blog.skcript.com/how-to-learn-neural-networks-758b78f2736e#.renfysgw7) by Per Harald Borgen -* [Python Programming for the Humanities](http://fbkarsdorp.github.io/python-course/) Focuses on data extraction, cleaning and ML - -### Network Virtualization -* [VMM Network Object Fundamentals](https://technet.microsoft.com/en-us/library/mt156974.aspx) - -### Mathematics ### -* [An Interactive Guide To The Fourier Transform](http://betterexplained.com/articles/an-interactive-guide-to-the-fourier-transform/) -* [Better Explained](http://betterexplained.com/) Refresher on Mathematics -* [Calculus](http://ocw.mit.edu/resources/res-18-001-calculus-online-textbook-spring-2005/textbook/) - Gilbert Strang, MIT Open CourseWare - - -##Tools## -###Big Data### -* [Seven Free Data Wrangling Tools](http://blog.varonis.com/free-data-wrangling-tools/) - -### Security### -* [SSL Certificates](https://letsencrypt.org/) - LetsEncrypt - Certificate issuance and life cycle management - -###Strategy, Trends, ...### -* [Ben Evans](http://ben-evans.com/) Trends and analysis of Tech -* [25iq](http://25iq.com) - Tren Griffin's blog on Markets, Tech etc. -* [Darren Rush](https://medium.com/@darrenrush) - -###Investment### -* [Fund Picker](http://fundpicker.thefundoo.com/Pick) Mutual Funds in India - -###Business### -* [What every CS major should know](http://matt.might.net/articles/what-cs-majors-should-know/) write-up by Matt Might. Good advice for CS interns or recent majors -* [10 rules for web startups](http://evhead.com/2005/11/ten-rules-for-web-startups.asp) -* [The Absolute Minimum Every Software Developer Absolutely, Positively Must Know About Unicode and Character Sets](http://www.joelonsoftware.com/articles/Unicode.html) - -###Life### -* [Food Rules](http://www.nytimes.com/interactive/2009/10/11/magazine/20091011-foodrules.html): Your Dietary Dos and Don't - NY Times +# Hello, you are on Ajay's GitHub page! 👋 + + +## 🚀 About Me +I practice Program/Product Management by day and am an engineer, coder, architect and a reader by night. + + +## 🛠 Skills +**Program & Product Management** : Launching a v1 product, Innovating/refreshing existing product lines, Growing and running the business. + +**Engineer** : Backend (Spring, Kotlin, SQL, ...). Previously (actually a very long time ago) worked on C, C++, PHP and Java + +**Engineer** : Frontend (Thymeleaf, Bootstrap, Material Design) and a smattering of JavaScript, JQuery + +**Engineer** : DevOps (Configure, deploy, secure, load balance, optimize workloads) across Azure, AWS and smaller clouds + + + + +## 🔗 Links +[Website][website] +[LinkedIn][linkedin] +[Twitter][twitter] +[Awards][awards] +
+ +## Other information + + +🧠 I'm currently reading... +- History of currency +- Graphics on the web + +👩‍💻 [Stuff, that I plan**ned** to read ...](https://github.com/ajaycode/interests/blob/master/interests.md) + + +## Products launched +The following is a subset of the products/technology offerings, that I have created/delivered/launched, over the fast few years. +- Network Performance Monitor +- Azure Traffic Analytics +- Azure DNS Analytics +- Windows Server SDN Server +- [CiscoWorks Network Compliance Manager](https://www.cisco.com/c/en/us/obsolete/cloud-systems-management/ciscoworks-network-compliance-manager.html) +- [Network Automation System](https://www.microfocus.com/en-us/products/network-automation/overview) +- [Business Communications Manager](https://support.avaya.com/products/P0862/business-communications-manager-200400-bcm-200400) +- [Optivity Enterprise Network Management System](https://www.gartner.com/en/documents/308852) +- [Bay Networks NetID](http://netaccess.ucdavis.edu/newuser.pdf) +- Communications Server + +And numerous others ... + + + + +## Awards & Recognition (most recent) +- [Check out the various awards](https://www.gummadi.net/ajay_interests) +- 2017 Talk on Software Defined Networking, IIT Guwahati +- 2006 November: [Infoworld 100 Customer Award (Canadian Railway)](https://github.com/ajaycode/ajaycode/blob/master/awards/Ajay_2006_InfoWorld_100_Award.pdf) +- 2006 September 25: [Enterprise All Star Customer Award (Burlington Northern Santa Fe Railroad](https://github.com/ajaycode/ajaycode/blob/master/awards/Ajay_Network_World_2006_All_Stars.pdf) +- 2006 April 24: [Network Computing 12th Annual Well Connected Award](https://github.com/ajaycode/ajaycode/blob/master/awards/Ajay_2005_Well_Connected_Award.JPG) - Network and Systems Management +- 2006 February 26: [eWeek Excellence Award](https://github.com/ajaycode/ajaycode/blob/master/awards/Ajay_2006_eWeek_Excellence_Awards.pdf) +- 2005 : [Most Promising New Technology](https://github.com/ajaycode/ajaycode/blob/master/awards/2005_WSA_Awards.JPG) +- 2005 : [Most Promising New Company](https://github.com/ajaycode/ajaycode/blob/master/awards/2005_WSA_Awards.JPG) +- 2005 (May 26) [Network Computing](https://github.com/ajaycode/ajaycode/blob/master/awards/Ajay_Network_Computing_NAS_Scorecard.gif) +- Well Connected Award +- 2005 (January 05) [InfoWorld Technology of the year](https://github.com/ajaycode/ajaycode/blob/master/awards/InfoWorld_RN_Technology_of_year_award.pdf) +- 2004 (April 30) [InfoWorld](https://github.com/ajaycode/ajaycode/blob/master/awards/InfoWorldApril2004Award.pdf) +- 2004 (April 19) [Network World Clear Choice Winner](https://github.com/ajaycode/ajaycode/blob/master/awards/Ajay_Network_World_2004_Apr_ClearChoice.pdf) +- 2004 (February) [WSA Finalist Most Promising New Technology](https://github.com/ajaycode/ajaycode/blob/master/awards/Ajay_WSA_2004_Most_Promising_New_Tech.JPG) +- 2000/2001 Internet Telephony Best Of Show +- Member, LDP +- Three time winner of PRIDE +- Winner : ACM/IEEE Programing Competition +- National Merit Scholar + +## Press Coverage +- [Next Generation Telecom China Conference, Beijing](https://github.com/ajaycode/ajaycode/blob/master/awards/NGT_Reference.JPG) +- [Simple Times](https://github.com/ajaycode/ajaycode/blob/master/awards/SNMP_TIMES.PDF) (Periodical on Management technologies) +- [Hewlett Packard Case Study](https://github.com/ajaycode/ajaycode/blob/master/awards/Ajay_Reference_HP.pdf) + +## Other professional activities +- Guest Speaker, Next Generation Telecom China Conference, Beijing +- Member, Data Center Markup Language + + + + +[linkedin]: https://www.linkedin.com/in/ajaygummadi +[twitter]: https://twitter.com/ajay_innovate +[awards]: https://www.gummadi.net/ajay_interests +[website]: https://www.github.com/ajaycode/interests diff --git a/SNMP_TIMES.PDF b/SNMP_TIMES.PDF new file mode 100644 index 0000000..10efa07 Binary files /dev/null and b/SNMP_TIMES.PDF differ diff --git a/awards/2005_WSA_Awards.JPG b/awards/2005_WSA_Awards.JPG new file mode 100644 index 0000000..3d50258 Binary files /dev/null and b/awards/2005_WSA_Awards.JPG differ diff --git a/awards/Ajay_2005_Well_Connected_Award.JPG b/awards/Ajay_2005_Well_Connected_Award.JPG new file mode 100644 index 0000000..bf4ad03 Binary files /dev/null and b/awards/Ajay_2005_Well_Connected_Award.JPG differ diff --git a/awards/Ajay_2006_InfoWorld_100_Award.pdf b/awards/Ajay_2006_InfoWorld_100_Award.pdf new file mode 100644 index 0000000..8c21dbb Binary files /dev/null and b/awards/Ajay_2006_InfoWorld_100_Award.pdf differ diff --git a/awards/Ajay_2006_eWeek_Excellence_Awards.pdf b/awards/Ajay_2006_eWeek_Excellence_Awards.pdf new file mode 100644 index 0000000..ae4cc50 Binary files /dev/null and b/awards/Ajay_2006_eWeek_Excellence_Awards.pdf differ diff --git a/awards/Ajay_Network_Computing_NAS_Scorecard.gif b/awards/Ajay_Network_Computing_NAS_Scorecard.gif new file mode 100644 index 0000000..da6b4c7 Binary files /dev/null and b/awards/Ajay_Network_Computing_NAS_Scorecard.gif differ diff --git a/awards/Ajay_Network_World_2004_Apr_ClearChoice.pdf b/awards/Ajay_Network_World_2004_Apr_ClearChoice.pdf new file mode 100644 index 0000000..8d99142 Binary files /dev/null and b/awards/Ajay_Network_World_2004_Apr_ClearChoice.pdf differ diff --git a/awards/Ajay_Network_World_2006_All_Stars.pdf b/awards/Ajay_Network_World_2006_All_Stars.pdf new file mode 100644 index 0000000..2fc22c1 Binary files /dev/null and b/awards/Ajay_Network_World_2006_All_Stars.pdf differ diff --git a/awards/Ajay_WSA_2004_Most_Promising_New_Tech.JPG b/awards/Ajay_WSA_2004_Most_Promising_New_Tech.JPG new file mode 100644 index 0000000..e87f13c Binary files /dev/null and b/awards/Ajay_WSA_2004_Most_Promising_New_Tech.JPG differ diff --git a/awards/InfoWorldApril2004Award.pdf b/awards/InfoWorldApril2004Award.pdf new file mode 100644 index 0000000..d0ebc20 Binary files /dev/null and b/awards/InfoWorldApril2004Award.pdf differ diff --git a/awards/InfoWorld_RN_Technology_of_year_award.pdf b/awards/InfoWorld_RN_Technology_of_year_award.pdf new file mode 100644 index 0000000..aa06a59 Binary files /dev/null and b/awards/InfoWorld_RN_Technology_of_year_award.pdf differ diff --git a/awards/README.md b/awards/README.md new file mode 100644 index 0000000..9a8d8aa --- /dev/null +++ b/awards/README.md @@ -0,0 +1 @@ +Lorem Ipsum diff --git a/git_summary.md b/git_summary.md index 24f2090..82c80de 100644 --- a/git_summary.md +++ b/git_summary.md @@ -1,7 +1,7 @@ #Git Commands# ---------- - +###Logs### File listing git ls-files @@ -42,10 +42,21 @@ Display commits performed by author "ajay" Display the patch, associated with each commit git log -p + +Display the change log (commit id and comment) + + git log --follow + List the files, that are altered as part of the commit. Includes the relative number of lines added/deleted from each of the files. git log --stat +Show the list of files that changed in a commit + + git show + +###Git Configuration### + Show configuration settings git config --list @@ -53,9 +64,14 @@ Show configuration settings Modify a setting git config --global user.name "Your Name" - git config --gloabl user.email "me@mydomain.com" + git config --global user.email "me@mydomain.com" + +Cache credentials (eg. avoid retyping passwords for 300 s/5 minutes) + + git config credential.helper 'cache --timeout=300' -What files have changed +###Changes### +What files have changed? git status @@ -68,14 +84,16 @@ What is the change between staging area and the repository? git diff --staged List all files, that have changed, since your last commit: -``` -git diff --name-only -``` + + git diff --name-only + List changes between local and remote - git fetch - git diff master origin/master #for master branch + git fetch #get the changes, but do not merge the files + git diff + eg. git diff master origin/master #for master branch +###Checkout and Commit### Add file and commit in a single operation git commit -a -m "your comment" @@ -90,12 +108,20 @@ Commit parts of a file git add -p Update changes made on local repo onto the remote server -``` -git push origin master -``` + + git push origin master + Fetch from and merge/Receive modifications from server into local repository git pull origin master + +Merge changes from another branch (eg. 201603 into master) + + git branch #change the local branch to master, if you aren't it already + git merge 201603 + git push origin master + + Checkout the last committed version of readme.txt. Also discard local (working directory) changes. Use this, if you want to undo all local changes and get the version of the file, from the most recent commit. git checkout -- readme.txt @@ -111,10 +137,10 @@ Cancel staged changes before committing, ie., undo changes that were staged - gi git checkout readme.txt Cancel a commit -``` -git revert HEAD -git hist #to view the log -``` + + git revert HEAD + git hist #to view the log + Show parents of the commits @@ -158,6 +184,7 @@ Revert to a specific version of your directory, i.e., HEAD moves to an older com Get back to current state git checkout master +###Tags### Tag a particular commit @@ -184,6 +211,8 @@ Remove a tag git show master@{3} git show master^^^ +###Branch### + Create a new branch git checkout -b @@ -202,7 +231,7 @@ Delete a branch Display commits across all branches, in a tree format - git log --graph --decorate --pretty=online --all --abbrev-commit + git log --graph --decorate --pretty=oneline --all --abbrev-commit Display all available branches @@ -228,7 +257,15 @@ Diff between the two branches, from their common ancestor git diff ... -Merge into ? +Dry run of a merge. Git does not have a dry-run option. + + #Do a merge with no commit and no fast-forward. + git merge --no-commit --no-ff + #if you have to undo the commit + git merge --abort + +Merge `` into `` ? + git diff --name-status ... M Merged file conflicts diff --git a/interests.md b/interests.md new file mode 100644 index 0000000..d09e917 --- /dev/null +++ b/interests.md @@ -0,0 +1,304 @@ +# Interests +Reference material + +Content: [Networking](#Networking), [Programming](#Programming), [Learning](#Learning) + +## Networking + +### Software Defined Networking +* Intent Based Network Programming [NetKAT, Cornell](http://www.cs.cornell.edu/~kozen/papers/probnetkat.pdf),[Tierless Programming](https://cs.brown.edu/~sk/Publications/Papers/Published/nfsk-flowlog-tierless/paper.pdf), [Slick Control Plane - Jennifer Rexford](http://conferences.sigcomm.org/sigcomm/2013/papers/hotsdn/p147.pdf), [SoftCell](https://www.cs.princeton.edu/~jrex/papers/softcell13.pdf), [StEERING](http://ieeexplore.ieee.org/xpl/login.jsp?tp=&arnumber=6733615&url=http%3A%2F%2Fieeexplore.ieee.org%2Fiel7%2F6718434%2F6733561%2F06733615.pdf%3Farnumber%3D6733615), [MeasuRouting](http://yuba.stanford.edu/~srini/publications.html), [Logic Programming: Princeton](https://www.cs.princeton.edu/~dpw/papers/xldi-2012.pdf), [FRESCO: Texas A & M](http://www.csl.sri.com/users/vinod/papers/fresco.pdf), [Kinetic](http://resonance.noise.gatech.edu/), [Network Intent Composition: Open Day Light](https://wiki.opendaylight.org/view/) + +### Internet Outages +* [The Outage Archives](https://puck.nether.net/pipermail/outages/) +* [NANOG Mailing List](http://osdir.com/ml/North-American-Network-Operators-Group/) +* [Routing Table Report](http://thyme.rand.apnic.net/) - BGP Routing Table Analysis + +## Programming +### Source Control +* [Git from the bottom up](http://jwiegley.github.io/git-from-the-bottom-up/) +* [Markdown syntax](https://github.com/adam-p/markdown-here/wiki/Markdown-Cheatsheet) +* [My Git Notes](https://github.com/ajaycode/interests/blob/master/git_summary.md) +* [Learn enough Git to be dangerous](http://www.learnenough.com/git-tutorial#sec-branching_and_merging) + +### Testing +* [Software Testing Wheel](https://dzone.com/articles/the-software-testing-wheel?utm_source=Weekly%20Digest&utm_medium=email&utm_campaign=wd%202016-01-27) + +### Compilers & Interpreters +* [Lets build a simple interpreter](http://ruslanspivak.com/lsbasi-part1/) +* [Let's build a compiler'] (http://compilers.iecc.com/crenshaw/) - Jack Crenshaw +* [Compiler Fundamentals](http://www.learn-computing-directory.org/languages-and-programming/compilers-fundamentals.html) +* Compilers [Marc Feeley - 300 lines C](https://news.ycombinator.com/item?id=8558822), [GitHub Resources](https://github.com/melling/ComputerLanguages/blob/master/compilers.org) +* [CPython internals: A ten-hour codewalk through the Python interpreter source code](http://pgbovine.net/cpython-internals.htm) +* [Mini: Interpreter and language implemented in Python](https://github.com/keleshev/mini) +* Compiler Construction Resources - [GitHub](https://github.com/melling/ComputerLanguages/blob/master/compilers.org), [Stack Overflow](http://stackoverflow.com/questions/1669/learning-to-write-a-compiler) +* [DIY: Make Your Own Programming Language](http://blog.ppelgren.se/2015-01-03/DIY-Make-Your-Own-Programming-language/) - Mattias Appelgren +* [Crafting Interpreters](http://www.craftinginterpreters.com/contents.html) + +### Algorithms +* [CS Fundamentals](https://github.com/antariksh17/Reddit-wiki-programming) - DSA, System Design links +* [Neetcode.io](https://neetcode.io/) - Problems by data structure, with links to relevant videos +* [Kotlin Algorithms Videos](https://kotlin.algorithmexamples.com/) +* [Kotlin Algorithm Club] (https://github.com/bmaslakov/kotlin-algorithm-club) - Code for various data structures and algorithms +* [Comparisons of text books on algorithms](https://porgionesanke.wordpress.com/2016/07/11/a-comparison-of-four-algorithms-textbooks/) - Sedgewick is not included in the comparison - however, it should be an easy read. +* [Algorithms etc](http://web.engr.illinois.edu/~jeffe/teaching/algorithms/) - Jeff Erickson, UIUC +* [Visualization of algorithms](http://visualgo.net/), [Visualization - UoSF](http://www.cs.usfca.edu/~galles/visualization/Algorithms.html) +* [Algorithm Visualizer](http://jasonpark.me/AlgorithmVisualizer/) +* Quora: Algorithms and Data Structures Learning Resources - [1](https://www.quora.com/What-are-the-best-sites-available-on-the-internet-to-learn-dynamic-programming-algorithms-and-data-structures), [2](https://www.quora.com/Which-are-the-top-blogs-to-follow-to-explore-about-algorithms-and-data-structures) +* [DsAlgo](http://www.dsalgo.com/2013/02/index.php.html), [daqwest](http://www.daqwest.com/), [Geeks for Geeks](http://www.geeksforgeeks.org/top-10-algorithms-in-interview-questions/) +* Big O Notations [Stack Overflow](http://stackoverflow.com/questions/487258/what-is-a-plain-english-explanation-of-big-o-notation), [Big O Cheat Sheet](http://www.bigocheatsheet.com/) +* Courses on Algorithms - [Videos](http://aduni.org/courses/algorithms/index.php?view=cw) - Course by Shai Simonsom, with videos, [MIT OCW Videos](https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-046j-introduction-to-algorithms-sma-5503-fall-2005/video-lectures/), [Udacity](https://classroom.udacity.com/courses/cs215/lessons/48747095/concepts/487024270923#) [Udacity](https://classroom.udacity.com/courses/cs215) +* Data Structures - [Yale CPSC 223](http://www.cs.yale.edu/homes/aspnes/classes/223/notes.html), [Visualization - UoSF](http://www.cs.usfca.edu/~galles/visualization/Algorithms.html) +* [Links to above books on DS and Algorithms on GitHub](https://github.com/haseebr/competitive-programming/tree/master/Materials) +* [Google Hiring](https://medium.freecodecamp.com/why-i-studied-full-time-for-8-months-for-a-google-interview-cc662ce9bb13#.ho8jeaxzn), [GitHub Resources](https://github.com/jwasham/google-interview-university), [The 30-minute guide to rocking your next coding interview](https://medium.freecodecamp.org/coding-interviews-for-dummies-5e048933b82b) +* [Top 30 Data Structures Problems for Technical Interview Preparation](http://www.techiedelight.com/top-30-data-structures-problems-technical-interview-preparation/), Algorithmica [Syllabus](http://www.algorithmica.co.in/courses/top_20.html) +* [Top 10 algorithms in Interview Questions](http://www.geeksforgeeks.org/top-10-algorithms-in-interview-questions/) [Interview Experiences - by company](http://www.geeksforgeeks.org/company-interview-corner/) +* [350+ Problems - Algorithms and Data Structures](http://madhualgo.blogspot.in/2017/01/350-problems.html), [500 Data Structures & Algorithms](https://techiedelight.quora.com/500-Data-Structures-and-Algorithms-practice-problems-and-their-solutions) + + +### Languages & Frameworks +* [Languages on GitHub](http://githut.info/) - Number of active repositories, push per repository etc... +* [Comparison of framework performance](https://www.techempower.com/benchmarks/) from TechEmpower + +### Python +* Language [Hackr.io](http://hackr.io/tutorials/python),[Welcome to Python for you & me](http://pymbook.readthedocs.org/en/latest/) +* [Learn X in Y minutes](https://learnxinyminutes.com/) - Python, Go, JavaScript, C, C++, Java, ... +* Decorators [Stack Over Flow](http://stackoverflow.com/questions/739654/how-can-i-make-a-chain-of-function-decorators-in-python/1594484#1594484), [Decorators in 12 Easy Steps](http://simeonfranklin.com/blog/2012/jul/1/python-decorators-in-12-steps/) +* [List Comprehensions in Python](http://treyhunner.com/2015/12/python-list-comprehensions-now-in-color/) +* [10 Common Mistakes](https://www.toptal.com/python/top-10-mistakes-that-python-programmers-make?utm_source=Engineering+Blog+Subscribers&utm_campaign=51aba2b5ff-Blog_Post_Email_Top10PythonMistakes&utm_medium=email&utm_term=0_af8c2cde60-51aba2b5ff-109835873) +* [Elements of Python Style](https://github.com/amontalenti/elements-of-python-style) +* [Python Coding Reddit](https://www.reddit.com/r/pythoncoding) +* [Text Classifier in Python](http://stevenloria.com/how-to-build-a-text-classification-system-with-python-and-textblob/) +* [Natural Language Processing with Python] (http://www.nltk.org/book/) - NLTK/Text Processing book +* [Statistical Natural Language Processing in Python](http://nbviewer.jupyter.org/url/norvig.com/ipython/How%20to%20Do%20Things%20with%20Words.ipynb) - Peter Norvig's "How To Do Things With Words. And Counters." +* [Overview of Python Visualization Tools](http://pbpython.com/visualization-tools-1.html) Also includes samples for seaborn, usage of powerpoint and excel files +* Python Resources: [Awesome Python on GitHub](https://github.com/vinta/awesome-python), [PyCrumbs on GitHub](https://github.com/kirang89/pycrumbs/blob/master/pycrumbs.md), [DuckDuckGo Cheatsheet](https://duckduckgo.com/?q=python+cheat+sheet&t=h&ia=cheatsheet&iax=1), [Quick Reference](http://www.dataschool.io/python-quick-reference/) +* [Python Virtual Environments](https://realpython.com/blog/python/python-virtual-environments-a-primer/#.Vvk_XbD-AWw.hackernews) +* [Why is Python slow](https://jakevdp.github.io/blog/2014/05/09/why-python-is-slow/) +* [Why should I use Python 3?](https://eev.ee/blog/2016/07/31/python-faq-why-should-i-use-python-3/) +* [Understanding logging in Python](http://mussol.org/2016/12/15/understanding-logging-in-python/) +* [CS 109 Data Science](http://cs109.github.io/2015/pages/videos.html) Pandas, Scraping, Probability, Regression, ML, Clustering, Text using Python + +#### Django +* [Django Girls](https://www.gitbook.com/book/djangogirls/djangogirls-tutorial/details), [ShowMeDo Videos](http://showmedo.com/videotutorials/django), Lanyrd [1](http://lanyrd.com/topics/django/video/),[2](http://lanyrd.com/search/?coverage=video&show=all&topics=django&type=session), [Tango with Django](http://www.tangowithdjango.com/) +* [Deploy Django on DO](https://www.codementor.io/python/tutorial/how-to-deploy-a-django-application-on-digitalocean#/.V5bhr254HiQ.hackernews) +* [11 Things I Wish I Knew About Django Development Before I Started My Company](https://medium.com/cs-math/11-things-i-wish-i-knew-about-django-development-before-i-started-my-company-f29f6080c131#.yo9bqr8c7) - [HN comments](https://news.ycombinator.com/item?id=5567239), [11 Killer Features I use in Every Django Project](https://medium.com/cs-math/2014-django-development-mistakes-in-2014-f48623f58b21#.y9gjrac6a) - talks about unit testing, updates to admin model, RESTful interfaces, ... +* [Extend Django's built-in User model](https://thinkster.io/django-angularjs-tutorial#extending-django-s-built-in-user-model) +* [Top 10 mistakes that Django developers make](https://www.toptal.com/django/django-top-10-mistakes) + +#### Scientific Computing with Python +* [Pandas Tutorial](https://github.com/jreback/pydatanyc2015) from PyDataNYC 2015 +* [Cheat sheet - Data Wrangling with pandas](https://pandas.pydata.org/Pandas_Cheat_Sheet.pdf), [Cheatsheet - Data Analysis with Pandas](http://www.datasciencefree.com/pandas.pdf), [Cheatsheet - Python For Data Science](http://datacamp-community-prod.s3.amazonaws.com/dbed353d-2757-4617-8206-8767ab379ab3), [Cheatsheet: Plotting with Pandas series and DataFrames](https://www.enthought.com/wp-content/uploads/Enthought-Python-Pandas-Cheat-Sheets-1-8-v1.0.2.pdf), [Pandas notebook](https://github.com/minsuk-heo/pandas/blob/master/Pandas_Cheatsheet.ipynb) +* [Baby steps in Python – Exploratory analysis in Python (using Pandas)](http://www.analyticsvidhya.com/blog/2014/08/baby-steps-python-performing-exploratory-analysis-python/) Uses data set from Kaggle +* [Scipy Lecture Notes](http://www.scipy-lectures.org/) - Tutorial on Python, NumPy, Matplotlib, Scipy, Scikit-learn... +* [Introduction to Scientific Python](https://web.stanford.edu/~arbenson/cme193.html) - Stanford Course - Intro to Python, files, NumPy, Scipy, Pyplot + +### Kotlin +* [Kotlin: An Illustrated Guide](https://typealias.com/guides/) +* [Caster.io: Kotlin Videos](https://caster.io/courses/kotlin-programming-language) +* [YouTube: Microservices with Spring Boot and Spring Cloud](https://www.youtube.com/channel/UCAieNgran7umupT_D50KaGw) +* [Kotlin, meet gRPC: a new open-source project for modern apps](https://cloud.google.com/blog/products/application-development/use-grpc-with-kotlin), [code on github](https://github.com/grpc/grpc-kotlin) +* [Kotlin and Android Samples](https://kotlin-android.com/android-imagebutton-kotlin/) +* [Developing Spring Boot applications with Kotlin](https://spring.io/blog/2016/02/15/developing-spring-boot-applications-with-kotlin) +* [Building web applications with Spring Boot and Kotlin](https://spring.io/guides/tutorials/spring-boot-kotlin/) + +### eBPF +* [A thorough introduction to eBPF](https://lwn.net/Articles/740157/) +* [eBPF- Rethinking the Linux kernel](https://docs.google.com/presentation/d/1AcB4x7JCWET0ysDr0gsX-EIdQSTyBtmi6OAW7bE0jm0/preview?slide=id.g35f391192_00) +* [Inside Kinvolk Labs: Investigating Kubernetes performance issues with BPF](https://kinvolk.io/blog/2020/04/inside-kinvolk-labs-investigating-kubernetes-performance-issues-with-bpf/) +* [bpftrace: High-level tracing language for Linux eBPF](https://github.com/iovisor/bpftrace) - [Video](https://www.infoq.com/presentations/facebook-google-bpf-linux-kernel/?utm_source=twitter&utm_medium=link&utm_campaign=helpcampaign) + +### Kernel +* [Kernel Boot Process](https://0xax.gitbooks.io/linux-insides/content/Booting/) +* [Writing a "bare metal" operating system for Raspberry Pi 4](https://github.com/isometimes/rpi4-osdev) + + +### D3 +* [Data Visualization and D3.js](https://classroom.udacity.com/courses/ud507/lessons/3068848585/concepts/30952086940923) +* [Scott Murray](http://alignedleft.com/tutorials/d3/) [Comments](https://news.ycombinator.com/item?id=10831045) +* [Teaching a Semester of D3.js](http://blogger.ghostweather.com/2016/01/teaching-semester-of-d3js.html) - [Course Material](http://arnicas.github.io/interactive-vis-course/) - Lynn Cherny +* [One Chart, Twelve Charting Libraries](http://lisacharlotterost.github.io/2016/05/17/one-chart-code/) +* [Free Data Visualization Books](http://newprediction.com/free-data-visualization-books/) +* [Modern JavaScript](http://courses.angularclass.com/courses/modern-javascript) +* [Awesome Interactive Journalism](https://github.com/wbkd/awesome-interactive-journalism) +* [Bringing D3.JS to Jupyter Notebook with Py-D3 ](http://www.residentmar.io/2016/09/12/py-d3.html) + +### Web Programming +* [Chrome DevTools – 25 Tips and Tricks](https://www.keycdn.com/blog/chrome-devtools/) + +### Electronics +* [Getting Started in Electronics](https://worldradiohistory.com/Archive-Company-Publications/Radio-Shack/Engineer's%20Mini-Notebook%20-%20Getting%20Started%20in%20Electronics.pdf) Handwritten notes by Forrest Mims III +* [The Art Of Electronics](https://archive.org/details/art-of-electronics-3e/mode/2up) by Paul Horowitz, Winfield Hill + +## Learning +### Online Courses +* [1150 Podcasts/Videos across many STEM and other subjects](http://www.openculture.com/freeonlinecourses) +* [Coding the Matrix: Linear Algebra through Computer Science Applications](https://class.coursera.org/matrix-002/wiki/software-environment) +* [Computer Science Courses at Universities](https://github.com/prakhar1989/awesome-courses) [Video Lectures](https://github.com/Developer-Y/cs-video-courses/blob/master/README.md#data-structures-and-algorithms), [Open Source Society University](https://github.com/ossu/computer-science#core-theory) - GitHub links to CS resources +* [Programming books you might want to consider reading](http://danluu.com/programming-books/) +* [MetAcademy](https://metacademy.org/browse) - Data Structures & Algorithms, Linear Algebra, Bayes, Set Theory, Probabily, AI, Multivariate Calculus, ... +* [40+ Python Statistics For Data Science Resources](https://www.datacamp.com/community/tutorials/python-statistics-data-science#gs.YbcvdF8) + +### Online Textbooks +* [Programming Languages, Tools, Algorithms, Compilers, ML, Math](https://github.com/vhf/free-programming-books/blob/master/free-programming-books.md) - GitHub +* [Biology, Business, Chemistry, Classics, Computer Science, Earth Science, Economics, Education, Electrical Engineering, History, Mathematics, Physics, Political Science, Sociology and more...](http://www.openculture.com/free_textbooks) +* [Statistics](https://www.openintro.org/stat/textbook.php?stat_book=reset) +* [Probability Theory](http://bayes.wustl.edu/etj/prob/book.pdf) : The Logic of Science +* [The Elements of Statistical Learning](https://web.stanford.edu/~hastie/local.ftp/Springer/OLD/ESLII_print4.pdf) Data Mining, Inference and Prediction +* [A Programmer's Guide to Data Mining](http://guidetodatamining.com/) Practical Data Mining, Collective Intelligence and Recommendation Systems by Ron Zacharski +* [CNX Text Books](http://cnx.org/) - [Algebra & Trigonometry](http://cnx.org/contents/E6wQevFf@5.245:nU8Qkzwo@4/Introduction-to-Prerequisites), [Introductory Statistics](http://cnx.org/contents/MBiUQmmY@18.12:2T34_25K@11/Introduction), Pre Algebra, College Algebra, Pre calculus, Calculus, FFT, Physics, Economics, ... +* [You don't know JS](https://github.com/getify/You-Dont-Know-JS) - Book series on JavaScript +* [Mining Massive Datasets](http://online.stanford.edu/course/mining-massive-datasets-self-paced?utm_source=iContact&utm_medium=email&utm_campaign=Stanford%20Online&utm_content=Final+copy+February+Course+Mailer+) - Stanford course and text +* [How to Learn Math & Physics](http://math.ucr.edu/home/baez/books.html#ODEs) - Links to free books for both subjects +* [Economics](http://www.core-econ.org/the-economy/) - CORE e-book was produced by a large team of collaborators. More than twenty economists from both sides of the Atlantic and from India, Colombia, Chile, and Turkey contributed to it. + +### Talks +* [TED Talks](https://www.youtube.com/user/TEDtalksDirector) +* [STRATFOR](https://www.youtube.com/user/STRATFORvideo/videos) + +### Machine Learning +* ML with interactive notebooks (ML & Python via notebooks [Nyandwi](https://github.com/Nyandwi/machine_learning_complete), Videos and notebooks from [Stanford, Cornell and UCB](https://github.com/Machine-Learning-Tokyo/AI_Curriculum?s=08#applied-machine-learning) and Kaggle [Programming](https://www.kaggle.com/learn/intro-to-programming), [Python](https://www.kaggle.com/learn/python), [Intro ML](https://www.kaggle.com/learn/intro-to-machine-learning), [Intermediate ML](https://www.kaggle.com/learn/intermediate-machine-learning)) +* Machine Learning in a [Week](https://medium.com/learning-new-stuff/machine-learning-in-a-week-a0da25d59850#.x5frasw0q), [a year](https://medium.com/learning-new-stuff/machine-learning-in-a-year-cdb0b0ebd29c#.d4wh3911s) Per Harald Borgen writes up his ML bootstrap experience, [Crash Course](https://ml.berkeley.edu/blog/2016/11/06/tutorial-1/) +* [Introduction to Machine Learning](https://docs.google.com/presentation/d/1O6ozzZHHxGzU-McpvEG09hl7K6oQDd2Taw0FOlnxJc8/preview?slide=id.p) by Quentin de Laroussilhe +* [ML is fun](https://medium.com/@ageitgey/machine-learning-is-fun-80ea3ec3c471#.2j0xckpik), [ML for humans](https://medium.com/machine-learning-for-humans/why-machine-learning-matters-6164faf1df12) +* [Dive into Machine Learning](https://github.com/hangtwenty/dive-into-machine-learning) with iPython and sci-kit +* [ML: An in-depth non technical guide](http://www.innoarchitech.com/machine-learning-an-in-depth-non-technical-guide/?utm_source=medium&utm_medium=post&utm_content=chapterlink&utm_campaign=republish), [Honest Guide to ML](https://medium.com/axiomzenteam/an-honest-guide-to-machine-learning-2f6d7a6df60e#.ndhjtwwno) - From Axiom Zen Team +* [ML Sabbatical](http://karlrosaen.com/ml/) - Karl Rosaen +* [Lessons learned while studying Machine Learning](http://mytechbooks.blogspot.in/2016/09/lessons-learned-while-studying-machine.html), [Programmers Can Get Into Machine Learning](http://machinelearningmastery.com/programmers-can-get-into-machine-learning/) +* [How to become a Data Scientist](https://www.experfy.com/blog/how-to-become-a-data-scientist-part-1-3) +* [Your First Machine Learning Project in Python Step-By-Step](http://machinelearningmastery.com/machine-learning-in-python-step-by-step/) +* [How to learn Machine Learning](https://medium.com/machine-intelligence-report/how-to-learn-machine-learning-6fa1c66bf039#.m5ke8j82i), [150 of the best ML,NLP, Python tutorials](https://unsupervisedmethods.com/over-150-of-the-best-machine-learning-nlp-and-python-tutorials-ive-found-ffce2939bd78) +* [AWS ML Videos](https://cloudacademy.com/amazon-web-services/courses/amazon-machine-learning/) +* [Data Quest](https://www.dataquest.io/blog/how-to-actually-learn-data-science/) - How to learn Data Science? +* [Machine Learning iPython Notebook](https://github.com/rhiever/Data-Analysis-and-Machine-Learning-Projects/blob/master/example-data-science-notebook/Example%20Machine%20Learning%20Notebook.ipynb) +* [ML for developers](http://xyclade.github.io/MachineLearning/) - Mike de Waard +* [ML Cheat Sheet](http://download.microsoft.com/download/A/6/1/A613E11E-8F9C-424A-B99D-65344785C288/microsoft-machine-learning-algorithm-cheat-sheet-v6.pdf) +* [Deep Learning](http://goodfeli.github.io/dlbook/) Deep Learning Text from MIT - work in progress +* [Machine Learning Tutorials](https://azure.microsoft.com/en-us/services/machine-learning/) in Azure +* [Statistical Learning](https://lagunita.stanford.edu/courses/HumanitiesSciences/StatLearning/Winter2016/about) Introductory course in supervised learning from Stanford. Starts Jan 12, 2016. Uses [An Introduction to Statistical Learning](http://www-bcf.usc.edu/~gareth/ISL/ISLR%20Fourth%20Printing.pdf) text, from the same authors. +* [ML Data Set Repository](http://archive.ics.uci.edu/ml/) for UC Irvine +* [Statistical Data Mining Tutorials](http://www.autonlab.org/tutorials/) Slides on ML by Andrew Moore +* [ML in a week](https://blog.skcript.com/machine-learning-in-a-week-a0da25d59850#.5ivzdvok5) Blog post by Per Harald Borgen +* [Will it Python](http://slendermeans.org/pages/will-it-python.html) Conversion of code from ["ML for Hackers"](http://www.amazon.com/Machine-Learning-Hackers-Drew-Conway/dp/1449303714) book into Python +* [Understanding Machine Learning - From Theory To Algorithms](http://www.cs.huji.ac.il/~shais/UnderstandingMachineLearning/understanding-machine-learning-theory-algorithms.pdf) Text by Shai Shalev-Shwartz and Shai Ben-David +* [word2vec: A word is worth a thousand vectors](http://multithreaded.stitchfix.com/blog/2015/03/11/word-is-worth-a-thousand-vectors/) [Intro - code.google](https://code.google.com/archive/p/word2vec/) +* [Machine Learning @ Coursera]() by Andrew Ng. [Unofficial Notes](http://www.holehouse.org/mlclass/), Python Implementation- [1](http://subokita.com/2014/03/03/python-code-for-machine-learning-class-offered-by-coursera/), [2](https://github.com/noammor/coursera-machinelearning-python) +* [7 steps to mastering ML with python](http://www.kdnuggets.com/2015/11/seven-steps-machine-learning-python.html/2) - Collection of related links organized in the proper sequence to aid in ML learning. +* [General Assembly's Data Science course](https://github.com/justmarkham/DAT8) +* [Data School](http://www.dataschool.io/) - Blog and tutorial content, related to ML +* [Free Programming Books - ML](https://github.com/vhf/free-programming-books/blob/master/free-programming-books.md#machine-learning) +* [Boosting Sales With Machine Learning](https://medium.com/xeneta/boosting-sales-with-machine-learning-fbcf2e618be3#.kf5y0auhu) +* [Applying ML to InfoSec](http://conf.startup.ml/blog/infosec) +* [Text: A Course in Machine Learning](http://ciml.info/dl/v0_9/ciml-v0_9-all.pdf) - Hal Daume III, 2015 Edition +* [Deep Learning Book](http://www.deeplearningbook.org/), [Guide to DL by YN](http://yerevann.com/a-guide-to-deep-learning/) - includes Linear Algebra, Probability, Scipy, ML, ... +* [Mathematics of Machine Learning](https://www.linkedin.com/pulse/mathematics-machine-learning-trishul-sharma) - List of Math topics, required for ML. +* Machine Learning Top 10 Articles for the Past Month - [September 2016](https://medium.mybridge.co/machine-learning-top-10-in-september-6838169e9ee7#.rc6ukipj8) +* [Top-down learning path: Machine Learning for Software Engineers](https://github.com/ZuzooVn/machine-learning-for-software-engineers) - [Comments/Links to other resources](https://news.ycombinator.com/item?id=12898718) +* Classifiers [Reddit classifier](http://ioloop.io/blog/hoverpy-scikitlearn/), [Amazon Reviews](https://bigishdata.com/2016/12/05/classifying-amazon-reviews-with-scikit-learn-more-data-is-better-turns-out/) + + +#### Artificial Intelligence +* [Stanford CS221: Artificial Intelligence: Principles and Techniques](https://web.stanford.edu/class/cs221/) +* [MIT: Artificial Intelligence](https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-034-artificial-intelligence-fall-2010/index.htm) + +#### TensorFlow +* [Tutorial for readers new to ML and TensorFlow](https://www.tensorflow.org/versions/0.6.0/tutorials/mnist/beginners/index.html) +* TensorFlow examples [Tutorials & examples for beginners](https://github.com/aymericdamien/TensorFlow-Examples), [Udacity and other examples](https://github.com/tensorflow/tensorflow/tree/master/tensorflow/examples), [Examples by Parag Mital](https://github.com/pkmital/tensorflow_tutorials) + +#### Neural Networks +* [How I Learned To Code Neural Networks In 2015](https://blog.skcript.com/how-to-learn-neural-networks-758b78f2736e#.renfysgw7) by Per Harald Borgen +* [Python Programming for the Humanities](http://fbkarsdorp.github.io/python-course/) Focuses on data extraction, cleaning and ML +* [Introduction to Deep Neural Networks](http://deeplearning4j.org/neuralnet-overview.html) +* [Neural Networks and Deep Learning](http://neuralnetworksanddeeplearning.com/index.html) - Online Textbook, uses Python +* [Hacker's guide to Neural Networks](http://karpathy.github.io/neuralnets/) - Start here for learning Neural Networks, by Andrej Karpathy +* [Deep Learning](http://www.deeplearningbook.org/) - Book from MIT Press, work in progress, covers Linear Algebra etc... + +### Network Virtualization +* [VMM Network Object Fundamentals](https://technet.microsoft.com/en-us/library/mt156974.aspx) + +### Mathematics +* [Paul's Online Math Notes](http://tutorial.math.lamar.edu/) - Cheat Sheets on Algebra, Trignonetry, Calculus, common derivates... - Hugely popular site +* Math Videos [Patrick JMT - Limits, Derivatives, Integration](https://www.youtube.com/user/patrickJMT/) [Just Match Tutorials](http://patrickjmt.com/), [Professor Leonard](https://www.youtube.com/user/professorleonard57) +* [An Interactive Guide To The Fourier Transform](http://betterexplained.com/articles/an-interactive-guide-to-the-fourier-transform/) +* [Better Explained](http://betterexplained.com/) Refresher on Mathematics +* [Calculus](http://ocw.mit.edu/resources/res-18-001-calculus-online-textbook-spring-2005/textbook/) - Gilbert Strang, MIT Open CourseWare, [2](https://www.math.hmc.edu/calculus/tutorials/), [Calculus Made Easy](http://djm.cc/library/Calculus_Made_Easy_Thompson.pdf) - Silvanus Thompson +* [Free Programming Books](https://github.com/vhf/free-programming-books/blob/master/free-programming-books.md#mathematics) includes texts on Linear Algebra, Statistics using Python +* [Math without university](quantstart.com/articles/How-to-Learn-Advanced-Mathematics-Without-Heading-to-University-Part-1) - Books, Courses, MOOCs, Course list +* Math Texts [1](http://faculty.atu.edu/mfinan/nnotes.html), [2](http://people.math.gatech.edu/~cain/textbooks/onlinebooks.html) +* [The Mathematics of Machine Learning](https://www.r-bloggers.com/the-mathematics-of-machine-learning/), [Reddit](https://www.reddit.com/r/MachineLearning/comments/5klywi/d_which_aspects_of_probability_and_linear_algebra/) +* [Immersive Linear Algebra](http://immersivemath.com/ila/index.html) - Online book with fully interactive figures +* [YouTube: Essence of Linear Algebra](https://www.youtube.com/playlist?list=PLZHQObOWTQDPD3MizzM2xVFitgF8hE_ab) - 3Blue1Brown +* [Approved Textbooks](http://aimath.org/textbooks/approved-textbooks/) by American Institute of Mathematics - for Precalculus, Calculus, Linear Algebra, Probability, Statistics and more ... +* [Math for finance - Probability, Linear Algebra, ...](https://www.softcover.io/read/bf34ea25/math_for_finance/frontmatter), [Reddit Recommendations](https://www.reddit.com/r/learnmath/comments/5nk3ze/could_somebody_please_give_me_an_ordered_list_of/dcc8d1m/), +* [Mathematics for Computer Science](https://courses.csail.mit.edu/6.042/spring17/mcs.pdf) - Eric Lehman, F Thomas Leighton, Albert Meyer +* Algebra [VITUTOR](http://www.vitutor.com/algeb.html) - polynomials, linear/quadratic equations, matrics, ... +* [Trigonometry](http://www2.clarku.edu/~djoyce/trig/) + +## Tools +### DevOps +* [400 Free resources for DevOps and Sys Admins](https://dzone.com/articles/400-free-resources-for-devops-amp-sysadmins?edition=166475&utm_source=Spotlight&utm_medium=email&utm_campaign=DevOps%202016-05-06) + +### Low Cost Hosting +* [SSDNodes](https://www.ssdnodes.com/startup-specials/?s=reddit) - 4GM RAM, 4 CPU cores for $4/month + +### Big Data +* [Seven Free Data Wrangling Tools](https://www.varonis.com/blog/free-data-wrangling-tools) +* [Libpostal](https://mapzen.com/blog/inside-libpostal)- a fast, multilingual, international street address parser +* [PROSE - Text Extraction & Transformation](https://microsoft.github.io/prose/documentation/extraction-text/intro/) + +### Statistics +* [YouTube](http://flavioazevedo.com/stats-and-r-blog/2016/9/13/learning-r-on-youtube) +* [YouTube : Statistics 110: Probability] - Joe Blitzstein, Professor of the Practice in Statistics, Harvard [Table of Contents](http://projects.iq.harvard.edu/stat110/youtube) + +### Security +* [SSL Certificates](https://letsencrypt.org/) - LetsEncrypt - Certificate issuance and life cycle management +* Web Server Security [Checklist](https://securitychecklist.org/), [SSL Server Test](https://www.ssllabs.com/ssltest/) +* [A practical security guide for web developers](https://github.com/FallibleInc/security-guide-for-developers) - [User Comments](https://news.ycombinator.com/item?id=12140477) + +### Transactional Email +* [Free Transactional Email Service Providers](https://www.metachris.com/2016/03/free-transactional-email-services-the-best-alternatives-to-mandrill/) + +### Strategy, Trends, ... +* [Ben Evans](http://ben-evans.com/) Trends and analysis of Tech +* [25iq](http://25iq.com) - Tren Griffin's blog on Markets, Tech etc. +* [Darren Rush](https://medium.com/@darrenrush) +* [Research News](https://www.researchnews.com/) +* [StraTechEry](https://stratechery.com/) +* [Machine Learning Trends and the Future of Artificial Intelligence 2016](https://medium.com/emergent-future/machine-learning-trends-and-the-future-of-artificial-intelligence-2016-15c15cd6c129#.yidum6cn0) + +### Investment +* [Fund Picker](http://fundpicker.thefundoo.com/Pick) Mutual Funds in India +* [Indian Mutual Fund Recommendations](https://www.fundsindia.com/select-funds) +* [Sensex Rolling Performance](https://docs.google.com/spreadsheets/d/1AL5IR_wDCGLHv2uv4rH7J5LrOm4GzaSWRi4YYs7A7ak/edit?usp=sharing) - from yours truly +* S & P - [Investing Returns on the S&P 500](https://github.com/zonination/investing) - Charts with returns, chances of losses [Historical Return Calculator](https://dqydj.com/sp-500-historical-return-calculator/) +* [Investment Returns in Retirement - Simulator](http://www.cfiresim.com/) +* [Is it time to buy?](https://saffell.wordpress.com/) - Is timing the market good for investments over a 10 year horizon? For a 20 year horizon? +* [Stock Market Data Analysis with Python](http://blog.yhat.com/posts/stock-data-python.html) +* Robo Advisors [India](http://www.livemint.com/Money/MGNQT2wi0XEza7v93ykLwM/Roboadvisory-which-one-is-for-you.html), [MoneyFront - Invest in direct plans](https://www.moneyfront.in/) +* Taxes - [ET: Look beyond 80C](http://economictimes.indiatimes.com/wealth/tax/look-beyond-section-80c-have-you-missed-out-on-any-of-these-tax-breaks/articleshow/53226279.cms) +* [Portfolio Visualizer](https://www.portfoliovisualizer.com/) - [Monte Carlo Simulation](https://www.portfoliovisualizer.com/) - Backtest, Factor, Asset Correlations, Portfolio Optimization, Timing Models +* [ValuePickr](http://www.valuepickr.com/) - Individual stock portfolios for Indian market +* [ETF Stock Exposure Tool](https://etfdb.com/tool/etf-stock-exposure-tool/) - List of ETFs that have invested in a stock +* [Cost of healthcare in early retirement](https://www.physicianonfire.com/cost-of-healthcare-in-early-retirement/?utm_source=twitter&utm_medium=social&utm_campaign=ReviveOldPost) from Physician on FIRE + +### Business +* [What every CS major should know](http://matt.might.net/articles/what-cs-majors-should-know/) write-up by Matt Might. Good advice for CS interns or recent majors +* [The Absolute Minimum Every Software Developer Absolutely, Positively Must Know About Unicode and Character Sets](http://www.joelonsoftware.com/articles/Unicode.html) +* [10 rules for web startups](http://evhead.com/2005/11/ten-rules-for-web-startups.asp) +* [SaaS Metrics 2.0](http://www.forentrepreneurs.com/saas-metrics-2/#Defining_a_Dashboard_for_a_SaaS_Company) – A Guide to Measuring and Improving what Matters +* [156 Startup Failure Post-Mortems](https://www.cbinsights.com/blog/startup-failure-post-mortem/) +* [FounderKit: Everything you need to build/grow your startup](https://founderkit.com/) - Reviews of various services +* Indian Startups [2017](http://trak.in/india-startup-funding-investment-2015/) +* [Capital & Growth](https://capitalandgrowth.org/index.html?page=2&pageSize=10&sort=active) - Stack Overflow for marketing +* Product Pricing Surveys [Gabor-Granger](https://conjoint.online/2017/05/02/gabor-granger/?gclid=Cj0KCQjwruPNBRCKARIsAEYNXIgyVJTCxt6ZdAFI7HINo16WPexQF6rl7-jA1nHNUIMTW2DNZzQ_vwEaAgbYEALw_wcB), [Van Westendorp](https://www.qualtrics.com/support/research-resources/pricing-surveys/) ..., [Survey Template](https://www.zoho.com/survey/templates/marketing/pricing-survey.html) + +### Life +* [Food Rules](http://www.nytimes.com/interactive/2009/10/11/magazine/20091011-foodrules.html): Your Dietary Dos and Don't - NY Times +* [Dharma](https://balajiviswanathan.quora.com/Dancing-with-Dharma-Quora-book-on-Hinduism) + +### Physics +* [Physics Classroom](http://www.physicsclassroom.com/) +* [Theoretical Minimum](http://theoreticalminimum.com/courses) + +### Management +* [Manager READMEs](https://hackernoon.com/12-manager-readmes-from-silicon-valleys-top-tech-companies-26588a660afe) +* [44 engineering management lessons](https://www.defmacro.org/2014/10/03/engman.html) diff --git a/management.md b/management.md new file mode 100644 index 0000000..89895de --- /dev/null +++ b/management.md @@ -0,0 +1,39 @@ +# Management Wisdom + +## 3 Tips from Dave Barger (JetBlue) for keeping a company aloft: +Be present and visible to the company and its constituents, but not necessarily as an individual. Share the spotlight with the rest of the leadership. +Ensure that the management and the entire company are working with the same information and toward the same goals. Alignment across the team is key. +Communicate three times more than seems necessary and make sure the message is being trumpeted throughout the organization. +(Source : The Wall Street Journal, June 21, 2007) + +## 5 Tips from Alan Mulally (Ford) for taking on a new company in an unfamiliar industry: +Deal with reality and restructure accordingly. +Talk to everybody - customers, dealers, employees, union leaders, suppliers, investors. +Fine-tune the business plan every week - not once a year. +Get all the players at the table. +Encourage subordinates to disclose problems. +(Source : The Wall Street Journal, July 23, 2007) + +## 5 Tips from Steve Ridgway (Virgin Atlantic) for innovating in a competitive industry: +Put top people on a task and have confidence in them. +Don't be frightened of failure. +Pursue quirky ideas, even if they bomb in focus groups. Customers don't always know that they will want something. +Give customers the most you can afford in terms of value. They recognize it. +Be a leader on quality or price, but don't get stuck in the middle. +(Source : The Wall Street Journal, July 30, 2007) + + ## 5 Tips from John Chambers (Cisco) on running a tech company: +Focus on market transitions and try to catch them at the right time. +Enter new markets with a sustainable differentiation. +Listen and take direction from your customers. +Develop a strong leadership team. +Innovate, innovate, innovate. +(Source : The Wall Street Journal, August 07, 2007) + + ## 5 Tips from Leo Kiely on meshing two established business cultures: +Stay focused on what you have in common. +Keep a healthy respect for the differences that make you stronger. +Set big goals that inspire your leadership team and your people through times of transition. +Say it again and again and again. It takes a long time to communicate your vision and future to every employee, everywhere. +Share best practices and celebrate the wins. Nothing sends a clear message about the way to work together than calling out the best in the business and celebrating together. +(Source : The Wall Street Journal, October 01, 2007) diff --git a/markdown-sample.md b/markdown-sample.md new file mode 100644 index 0000000..32093a4 --- /dev/null +++ b/markdown-sample.md @@ -0,0 +1,29 @@ +## Welcome to MarkdownPad 2 ## + +**MarkdownPad** is a full-featured Markdown editor for Windows. + +### Built exclusively for Markdown ### + +Enjoy first-class Markdown support with easy access to Markdown syntax and convenient keyboard shortcuts. + +Give them a try: + +- **Bold** (`Ctrl+B`) and *Italic* (`Ctrl+I`) +- Quotes (`Ctrl+Q`) +- Code blocks (`Ctrl+K`) +- Headings 1, 2, 3 (`Ctrl+1`, `Ctrl+2`, `Ctrl+3`) +- Lists (`Ctrl+U` and `Ctrl+Shift+O`) + +### See your changes instantly with LivePreview ### + +Don't guess if your [hyperlink syntax](http://markdownpad.com) is correct; LivePreview will show you exactly what your document looks like every time you press a key. + +### Make it your own ### + +Fonts, color schemes, layouts and stylesheets are all 100% customizable so you can turn MarkdownPad into your perfect editor. + +### A robust editor for advanced Markdown users ### + +MarkdownPad supports multiple Markdown processing engines, including standard Markdown, Markdown Extra (with Table support) and GitHub Flavored Markdown. + +With a tabbed document interface, PDF export, a built-in image uploader, session management, spell check, auto-save, syntax highlighting and a built-in CSS management interface, there's no limit to what you can do with MarkdownPad.