data-science 12

Slides for my DataHack Summit talk (controversially) titled RIP Data Scientists are at https://sanand0.github.io/talks/2025-08-21-rip-data-scientists/ Summary: as data scientists we explore, clean, model, explain, deploy, and anonymize datasets. I live-vibe-coded each step with DGCA data in 35 minutes using ChatGPT. Of course, it’s the tasks that are dying, not the role. Data scientists will leverage AI, differentiate on other skills, and move on. But the highlight was an audience comment: “I’m no data scientist. I’m a domain person. I’ll tell you all this: If you don’t follow these practices, you won’t have a job with me!” ...

I’m planning to publish a 3-hour self-paced #onlinecourse. But I don’t know which topic would be more useful. One topic is #datascience tools for non-programmers. Another is a step-by-step guide to #datastorytelling for analysts. What’s more useful for you? Could you share with people, so I work on the more useful course? (Thanks 🙏) LinkedIn

Since 2011, I’ve been speaking about data & AI at events & organizations. My Talks YouTube playlist videos of public talks. My Talks slides page has recent talk content and transcripts. Events Some of the events I’ve spoken at are: TEDx: IIM Bangalore, NMIMS Bangalore, Whitefield, KG Institutions, … Strata: New York 2018, London 2015 PyCon: India, Indonesia, Iran, Kenya, … Bio for talks If you need a short bio to introduce me, you’re welcome to modify this. ...

If you’re a seasoned developer that enjoys working with data, have good front-end skills, and are challenged by impossible deadlines, please drop me a note. I’d love to work with you at Gramener Mumbai. LinkedIn

Apparently, I’m one of the top 10 data scientists in India. http://analyticsindiamag.com/top-10-data-scientists-in-india-2015/ LinkedIn

When you start typing in the address bar, Chrome suggests a link to visit, based on frecency. What do my recommendations look like? A is for airtel.in/smartbyte-s/page.html – the page where you can check your bandwidth usage. I used to check it infrequently until I upgraded to a 125GB connection. Now I check it every few days and feel miserable that I’ve nowhere near used up my quota. This has coerced me to watch many Telugu movies, of which I don’t understand a word. B is for blog.gramener.com – I blog there on data stories. The last month or so has been fairly active thanks to the elections. C is for calendar.google.com – which has become primarily a shared calendar. It was always indispensible to manage my time. Now it helps my colleagues pick when to call me. Right now, my calendar has events booked about two months in advance. D is for docs.google.com – for effectively one single purpose: shared spreadsheets. This is such a common and powerful use case, and I’m surprised it hasn’t become much easier to use. E is for epaper.timesofindia.com – some of our content has been published by The Economic Times, and I keep doing ego-searches in the print edition. But close behind is eci.nic.in which I’ve been scraping a lot, and election-results.ibnlive.in.com which we created for CNN-IBN. F is for flipkart.com – not facebook.com. I’m not often on Facebook. G is for gramener.com. Naturally. (It’s not surprising that it’s not google.com: I search directly from the address bar.) H is for handsontable.com – a library that I’ve been using a lot recently, followed by html5please.com that tells me which HTML5 features are ready for use. I is for ibn.gramener.com – another property we created, but it only just beats irctc.co.in. J is for join.me – a clean way to share your screen without the audience having to install anything (though you the sharer do have to install the software.) K is for kraken.io – an amazingly efficient image compressor. As you might have guessed, I lead a strange life. L is for learn.gramener.com – our Intranet. Sorry, you can’t access this one. M is for mail.google.com. I’ll probably be moving away from gmail as a backend this weekend to Mail-in-a-box, though. Google’s pulling the plug on Google Reader has shaken my faith. N is for news.ycombinator.com. When I’m bored and want to watch something while I have dinner, I don’t open YouTube. I open Hacker News. O is for odc.datameet.org – the Open Data Camp. I’m quite into open data. P is for pay.airtel.com, but if you ignore the number of bills I pay, it would be pandas.pydata.org, the home page of a remarkable data processing library. Q is for quirksmode.org, PPK’s remarkable browser-compatibility guide R is for reader.s-anand.net, my self-hosted RSS reader. It used to be reader.google.com, but Google let me down there. S is for s-anand.net – this blog. T is for twitter.com. Unlike Facebook, I don’t dislike Twitter so much. U is for underscorejs.org. Clearly I need to get a life. V is for visualizing.org. They have a number of interesting data visualisations. W is for webpagetest.org – it helps measure the speed of web pages. X is for xem.github.io. I’ve probably visited this page once, but it’s the only one in my recent history that starts with X Y is for youtube.com. I lied. I spend an order of magnitude more time watching Telugu movies on YouTube than on Hacker News. Z is for zoemob.com. Again, a page I visited only once, but there’s nothing else in Z at the moment. Comments Software I currently use | s-anand.net 9 May 2014 6:24 pm (pingback): […] course, some of my apps apps have moved online, and my earlier post on the A-Z of my browsing history covers that. But there are a few applications that I’ve hosted which I must talk about. […] chandigarh 13 Oct 2015 7:27 pm: you can delete your web search history through link https://history.google.com/history

I just scraped the scientific packages on pypi. Here are the top 50 by downloads. Name Description Size Downloads numpy NumPy: array processing for numbers, strings, records, and objects. 2000000 133076 scipy SciPy: Scientific Library for Python 7000000 33990 pygraphviz Python interface to Graphviz 99000 22828 geopy Python Geocoding Toolbox 32000 18617 googlemaps Easy geocoding, reverse geocoding, driving directions, and local search in Python via Google. 69000 15135 Rtree R-Tree spatial index for Python GIS 495000 14370 nltk Natural Language Toolkit 1000000 12844 Shapely Geometric objects, predicates, and operations 93000 12635 pyutilib.component.doc Documentation for the PyUtilib Component Architecture. 372000 10181 geojson Encoder/decoder for simple GIS features 12000 9407 GDAL GDAL: Geospatial Data Abstraction Library 410000 8957 scikits.audiolab A python module to make noise from numpy arrays 1000000 8856 pupynere NetCDF file reader and writer. 16000 8809 scikits.statsmodels Statistical computations and models for use with SciPy 3000000 8761 munkres munkres algorithm for the Assignment Problem 42000 8409 scikit-learn A set of python modules for machine learning and data mining 2000000 7735 networkx Python package for creating and manipulating graphs and networks 1009000 7652 pyephem Scientific-grade astronomy routines 927000 7644 PyBrain PyBrain is the swiss army knife for neural networking. 255000 7313 scikits.learn A set of python modules for machine learning and data mining 1000000 7088 obspy.seisan SEISAN read support for ObsPy. 3000000 6990 obspy.wav WAV(audio) read and write support for ObsPy. 241000 6985 obspy.seishub SeisHub database client for ObsPy. 237000 6941 obspy.sh Q and ASC (Seismic Handler) read and write support for ObsPy. 285000 6926 crcmod CRC Generator 128000 6714 obspy.fissures DHI/Fissures request client for ObsPy. 1000000 6339 stsci.distutils distutils/packaging-related utilities used by some of STScI's packages 25000 6215 pyopencl Python wrapper for OpenCL 1000000 6124 Kivy A software library for rapid development of hardware-accelerated multitouch applications. 11000000 5879 speech A clean interface to Windows speech recognition and text-to-speech capabilities. 17000 5809 patsy A Python package for describing statistical models and for building design matrices. 276000 5517 periodictable Extensible periodic table of the elements 775000 5498 pymorphy Morphological analyzer (POS tagger + inflection engine) for Russian and English (+perhaps German) languages. 70000 5174 imposm.parser Fast and easy OpenStreetMap XML/PBF parser. 31000 4940 hcluster A hierarchical clustering package for Scipy. 442000 4761 obspy.core ObsPy - a Python framework for seismological observatories. 487000 4608 Pyevolve A complete python genetic algorithm framework 99000 4509 scikits.ann Approximate Nearest Neighbor library wrapper for Numpy 82000 4368 obspy.imaging Plotting routines for ObsPy. 324000 4356 obspy.xseed Dataless SEED, RESP and XML-SEED read and write support for ObsPy. 2000000 4331 obspy.sac SAC read and write support for ObsPy. 306000 4319 obspy.arclink ArcLink/WebDC client for ObsPy. 247000 4164 obspy.iris IRIS Web service client for ObsPy. 261000 4153 Orange Machine learning and interactive data mining toolbox. 14000000 4099 obspy.neries NERIES Web service client for ObsPy. 239000 4066 pandas Powerful data structures for data analysis, time series,and statistics 2000000 4037 pycuda Python wrapper for Nvidia CUDA 1000000 4030 GeoAlchemy Using SQLAlchemy with Spatial Databases 159000 3881 pyfits Reads FITS images and tables into numpy arrays and manipulates FITS headers 748000 3746 HTSeq A framework to process and analyze data from high-throughput sequencing (HTS) assays 523000 3720 pyopencv PyOpenCV - A Python wrapper for OpenCV 2.x using Boost.Python and NumPy 354000 3660 thredds THREDDS catalog generator. 25000 3622 hachoir-subfile Find subfile in any binary stream 16000 3540 fluid Procedures to study geophysical fluids on Python. 210000 3520 pygeocoder Python interface for Google Geocoding API V3. Can be used to easily geocode, reverse geocode, validate and format addresses. 7000 3514 csc-pysparse A fast sparse matrix library for Python (Commonsense Computing version) 111000 3455 topex A very simple library to interpret and load TOPEX/JASON altimetry data 7000 3378 arrayterator Buffered iterator for big arrays. 7000 3320 python-igraph High performance graph data structures and algorithms 3000000 3260 csvkit A library of utilities for working with CSV, the king of tabular file formats. 29000 3236 PyVISA Python VISA bindings for GPIB, RS232, and USB instruments 237000 3201 Quadtree Quadtree spatial index for Python GIS 40000 3000 ProxyHTTPServer ProxyHTTPServer -- from the creator of PyWebRun 3000 2991 mpmath Python library for arbitrary-precision floating-point arithmetic 1000000 2901 bigfloat Arbitrary precision correctly-rounded floating point arithmetic, via MPFR. 126000 2879 SimPy Event discrete, process based simulation for Python. 5000000 2871 Delny Delaunay triangulation 18000 2790 pymc Markov Chain Monte Carlo sampling toolkit. 1000000 2727 PyBUFR Pure Python library to encode and decode BUFR. 10000 2676 collective.geo.bundle Plone Maps (collective.geo) 11000 2676 dap DAP (Data Access Protocol) client and server for Python. 125000 2598 rq RQ is a simple, lightweight, library for creating background jobs, and processing them. 29000 2590 pyinterval Interval arithmetic in Python 397000 2558 StarCluster StarCluster is a utility for creating and managing computing clusters hosted on Amazon's Elastic Compute Cloud (EC2). 2000000 2521 fisher Fast Fisher's Exact Test 43000 2503 mathdom MathDOM - Content MathML in Python 169000 2482 img2txt superseded by asciiporn, http://pypi.python.org/pypi/asciiporn 443000 2436 DendroPy A Python library for phylogenetics and phylogenetic computing: reading, writing, simulation, processing and manipulation of phylogenetic trees (phylogenies) and characters. 6000000 2349 geolocator geolocator library: locate places and calculate distances between them 26000 2342 MyProxyClient MyProxy Client 67000 2325 PyUblas Seamless Numpy-UBlas interoperability 51000 2252 oroboros Astrology software 1000000 2228 textmining Python Text Mining Utilities 1000000 2198 scikits.talkbox Talkbox, a set of python modules for speech/signal processing 147000 2188 asciitable Extensible ASCII table reader and writer 312000 2160 scikits.samplerate A python module for high quality audio resampling 368000 2151 tabular Tabular data container and associated convenience routines in Python 52000 2114 pywcs Python wrappers to WCSLIB 2000000 2081 DeliciousAPI Unofficial Python API for retrieving data from Delicious.com 19000 2038 hachoir-regex Manipulation of regular expressions (regex) 31000 2031 Kamaelia Kamaelia - Multimedia & Server Development Kit 2000000 2007 seawater Seawater Libray for Python 2000000 1985 descartes Use geometric objects as matplotlib paths and patches 3000 1983 vectorformats geographic data serialization/deserialization library 10000 1949 PyMT A framework for making accelerated multitouch UI 18000000 1945 times Times is a small, minimalistic, Python library for dealing with time conversions between universal time and arbitrary timezones. 4000 1929 CocoPy Python implementation of the famous CoCo/R LL(k) compiler generator. 302000 1913 django-shapes Upload and export shapefiles using GeoDjango. 9000 1901 sympy Computer algebra system (CAS) in Python 5000000 1842 pyfasta fast, memory-efficient, pythonic (and command-line) access to fasta sequence files 14000 1836 Comments Ron Z 25 Jun 2013 10:19 pm: Another good one is simpleCV: http://www.simplecv.org/ Ravindranath M 8 Apr 2013 7:13 am: Nice list Anand. Very useful. – This is Ravi from Comviva, who attended your introduction.

I’m writing this post on a one-way flight from London back to India. I’ve moved on from Infosys Consulting, and am starting up on my own. I’ve wanted to do this for a long time. There’s always more freedom in your own company than someone else’s. There’s often more money in it too, if you’re lucky enough. But my upbringing is a bit too conservative to make that bold step. However, given that my father runs his own firm, I figured it was just a question of time for me to do the same. ...

I’ve tried understanding Bayes’ Theorem several times. I’ve always managed to get confused. Specifically, I’ve always wondered why it’s better than simply using the average estimate from the past. So here’s a little attempt to jog my memory the next time I forget. Q: A coin shows 5 heads when tossed 10 times. What’s the probability of a heads? A: It’s not 0.5. That’s the most likely estimate. The probability distribution is actually: ...

You may know me as S Anand. You may also know me as Prof or Stud at the Indian Institute of Management, Bangalore, as Anand Subramanian at IBM India, Bhalla at Alakananda hostel, IIT Madras, and Bal at Vidya Mandir. LinkedIn CV (2024) History 1974-1978 at home I was born on the 23rd November, 1974 (a Saturday) at Tirupati. I flew back to Madras (now Chennai) in a few days along with my parents. I stayed at home for 4 years, thoroughly enjoying myself. My mother would feed me while telling me stories while I was perched on her hip looking at the cows behind our house (it was no mean feat — I think I weighed 20 kilos). Since I was the youngest grandchild in our family, no one was permitted to get angry with me — especially if I sat on them and hit them with whatever they wouldn’t give me. ...

Peter Norvig’s brilliant talk on Managing the Data Deluge. Among other things, he talks about how having lots of data is sometimes better than having a carefully designed algorithm.

It’s a good time to be a mathematician.