The data is a representation of reality. When a value is missing in the piece of data, it makes it less useful and reliable. Every day, articles, a news report about COVID-19 discuss the new cases, recovered cases, and deceased cases. This information gives you a sense of hope or reality or confusion.
Regarding COVID-19, everyone believes or accepts specific details as fact like mortality rate is 2 to 3 percent, over the age of fifty, the chance of death is 30 to 50 percent.
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“Don’t touch your face” - Neural Network will warn you
A few days back, Keras creator, Francois Chollet tweeted
A Keras/TF.js challenge: make a model that processes a webcam feed and detects when someone touches their face (triggering a loud beep).“ The very next day, I tried the Keras yolov3 model available in the Github. It was trained on the coco80 dataset and could detect person but not the face touch.
V1 Training The original Keras implementation lacked documentation to train fromscratch or transfer learning.
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1000 more whitelist sites in Kashmir, yet no Internet
Kashmir is under lockdown for more than
200,200,200,200,200,200,200,200,200,200, 200,200,200,200,200,200,200,200,200,200, 200,200,200,200,200,200,200,200,200,200, 200,200,200,200,200,200,200,200,200,200, 200,200,200,200,200,200,200,200,200,200, 200,200,200,200,200,200,200,200,200,200, 200,200,200,200,200,200,200,200,200,200, 200,200,200,200,200,200,200,200,200,200, 200,200,200,200,200,200,200,200,200,200, 200,200,200,200,200,200,200,200,200,200, 200,200,200,200,200,200,200,200,200,200, 200,200,200,200,200,200,200,200,200,200, 200,200,200,200,200,200,200,200,200,200, 200,200,200,200,200,200,200,200,200,200, 200,200,200,200,200,200,200,200,200,200, 200,200,200,200,200,200,200,200,200,200, 200,200,200,200,200,200,200,200,200,200, 200,200,200,200,200,200,200,200,200,200, 200,200,200,200,200,200,200,200,200,200, 200,200,200,200,200,200,200,200,200,200, 200 days.
Last Friday(14th Feb, 2020), Government released a documentwith list of allowed whitelist sites at 2G speed. The text file with URLs extracted from the PDF - https://gitlab.com/snippets/1943725
In case you’re not interested in tech details, analysis, or short of time, look at the summary section at the bottom.
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Capture all browser HTTP[s] calls to load a web page
How does one find out what network calls, browser requests to load web pages?
The simple method - download the HTML page, parse the page, find out all the network calls using web parsers like beautifulsoup.
The shortcoming in the method, what about the network calls made by your browser before requesting the web page? For example, firefox makes a call to ocsp.digicert.com to obtain revocation status on digital certificates. The protocol is Online Certificate Status Protocol.
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153 sites allowed in Kashmir but no internet
Kashmir is locked down without the internet for more than 167 days as of 19th Jan 2020 since 5th Aug 2019. The wire recently published an article wherein the Government of India whitelisted 153 websites access in Kashmir. Below is the list extracted from the document
. The internet shutdown is becoming common in recent days during protests.
Anyone with little knowledge to create a web application or work can say, every web application will make network calls to other sites to load JavaScript, Style sheets, Maps, Videos, Images, etc.
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How long do Python Postgres tools take to load data?
Data is crucial for all applications. While fetching a significant amount of data from database multiple times, faster data load times improve performance.
The post considers tools like SQLAlchemy statement, SQLAlchemy ORM, Pscopg2, psql for measuring latency. And to measure the python tool timing, jupyter notebook’s timeit is used. Psql is for the lowest time taken reference.
Table Structure annotation=> \d data; Table "public.data" Column | Type | Modifiers --------+-----------+--------------------------------------------------- id | integer | not null default nextval('data_id_seq'::regclass) value | integer | label | integer | x | integer[] | y | integer[] | Indexes: "data_pkey" PRIMARY KEY, btree (id) "ix_data_label" btree (label) annotation=> select count(*) from data; count --------- 1050475 (1 row) SQLAlchemy ORM Declaration class Data(Base): __tablename__ = 'data' id = Column(Integer, primary_key=True) value = Column(Integer) # 0 => Training, 1 => test label = Column(Integer, default=0, index=True) x = Column(postgresql.
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Debugging Python multiprocessing program with strace
Debugging is a time consuming and brain draining process. It’s essential part of learning and writing maintainable code. Every person has their way of debugging, approaches and tools. Sometimes you can view the traceback, pull the code from memory, and find a quick fix. Some other times, you opt different tricks like the print statement, debugger, and rubber duck method.
Debugging multi-processing bug in Python is hard because of various reasons.
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Notes from Root Conf Day 2 - 2017
On day 2, I spent a considerable amount of time networking and attend only four sessions.
Spotswap: running production APIs on Spot instance
Amazon EC2 spot instances are cheaper than on-demand server costs. Spot instances run when the bid price is greater than market/spot instance price. Mapbox API server uses spot instances which are part of auto-scaling server Auto scaling group is configured with min, desired, max parameters. Latency should be low and cost effective EC2 has three types of instances: On demand, reserved and spot.
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Notes from Root Conf Day 1 - 2017
Root Conf is a conference on DevOps and Cloud Infrastructure. 2017 edition’s theme is service reliability. Following is my notes from Day 1.
State of the open source monitoring landscape
The speaker of the session is the co-founder of Icinga monitoring system. I missed first ten minutes of the talk.-The talk is a comparison of all available OSS options for monitoring, visualization. Auto-discovery is hard. As per 2015 monitoring tool usage survey, Nagios is widely used.
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Book Review: The Culture Map
The Culture Map: Breaking Through the Invisible Boundaries of Global Business is a book on cultural differences in communication by Erin Meyer.
Last year, I spent three months in NYC. Whenever I entered food outlet or made an eye contact, all the conversation started with “How are you doing?”. I replied, “I’m good and how are you doing?”. Most of the times, I didn’t receive a response. It was a sign.
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