Why Job Hopping Might Not Be That Bad After All (taggit)

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How Working From Home Makes Company Culture Blossom

taggit Summary

Despite what most people think, the ability to work from home isn’t a perk of a company culture steeped in trust — it’s a driver for it. Employee surveys will often reveal that having the option to work from home is associated with increased employee happiness. Does a company culture of trust enable employees to work from home effectively?Or does the vulnerability of working from home lead to a deeply trusting company culture?

How Working From Home Makes Company Culture Blossom

The taggit Summary

Despite what most people think, the ability to work from home isn’t a perk of a company culture steeped in trust — it’s a driver for it. Employee surveys will often reveal that having the option to work from home is associated with increased employee happiness. Does a company culture of trust enable employees to work from home effectively?Or does the vulnerability of working from home lead to a deeply trusting company culture?

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Sree Vijaykumar shared a link

Dear the New Yorker Et Al, It’s High Time You Paid Your Employees a Living Wage

taggit Summary

Dear The New Yorker Et Al., It’s High Time You Paid Your Employees a Living Wage. The featured image above summarizes how much people working in the media and journalism industries get paid — those with entry-level jobs to be exact. Fair wage is much overdue in the media industry, despite recent news about big companies being more vocal about promoting an equitable workplace. If you want to sustain the high standard of your storytelling, if you want your journalists to report about poverty and social justice and equal opportunities for all, and if you want to attract people from underserved and underrepresented communities, you must pay them a living wage.

Dear the New Yorker Et Al, It’s High Time You Paid Your Employees a Living Wage

The taggit Summary

Dear The New Yorker Et Al., It’s High Time You Paid Your Employees a Living Wage. The featured image above summarizes how much people working in the media and journalism industries get paid — those with entry-level jobs to be exact. Fair wage is much overdue in the media industry, despite recent news about big companies being more vocal about promoting an equitable workplace. If you want to sustain the high standard of your storytelling, if you want your journalists to report about poverty and social justice and equal opportunities for all, and if you want to attract people from underserved and underrepresented communities, you must pay them a living wage.

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Sree Vijaykumar shared a link

Facebook Is Not the Devil

taggit Summary

Although I’d told only a few people personally, pretty much everything I’d posted on Facebook during the previous month or so had something to do with my forthcoming book or my big move from Cape Town to Sydney for a new job. As it turned out, she hadn’t been keeping up with anybody’s status updates because she’d “deactivated” her Facebook account two months earlier, weeks before I left Cape Town for Sydney.(Deactivating Facebook hides your profile and puts everything on pause until you decide to reactivate and resume your Facebook life as if you’d never left it.)The question she asked at the beginning of this post was part of her response to a “Happy birthday” message I sent her by personal email because I never sent her anything through Facebook.

Facebook Is Not the Devil

The taggit Summary

Although I’d told only a few people personally, pretty much everything I’d posted on Facebook during the previous month or so had something to do with my forthcoming book or my big move from Cape Town to Sydney for a new job. As it turned out, she hadn’t been keeping up with anybody’s status updates because she’d “deactivated” her Facebook account two months earlier, weeks before I left Cape Town for Sydney.(Deactivating Facebook hides your profile and puts everything on pause until you decide to reactivate and resume your Facebook life as if you’d never left it.)The question she asked at the beginning of this post was part of her response to a “Happy birthday” message I sent her by personal email because I never sent her anything through Facebook.

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Sree Vijaykumar shared a link

Build a Website Using Only the Go Std Library

taggit Summary

The function can then be created in the file:Within the templates directory create a file with the following contents. Within the folder create a file which will hold some helper functions we need. is a helper function which will take a list of filepaths (which should point to template files) and return these concatenated with the base .

Build a Website Using Only the Go Std Library

The taggit Summary

The function can then be created in the file:Within the templates directory create a file with the following contents. Within the folder create a file which will hold some helper functions we need. is a helper function which will take a list of filepaths (which should point to template files) and return these concatenated with the base .

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Sree Vijaykumar shared a link

Support Vector Machine: Machine Learning in Python

taggit Summary

Usually, a classification boundary made by Logistic Regression can lie anywhere between the two divided data classes but in case of SVM, the algorithm selects the decision boundary which maximizes the distance margin between the classes. In case of linearly separable classes in a plane, a simple straight line boundary passing through the middle of the two classes of data is sufficient to distinguish between the data points. Not all data is linearly separable, in which case we are unable to find a straight line to separate the data classes. The basic idea behind Kernel Method is that when a data set is inseparable in the current dimension, we add another dimension to try and separate the data.

Support Vector Machine: Machine Learning in Python

The taggit Summary

Usually, a classification boundary made by Logistic Regression can lie anywhere between the two divided data classes but in case of SVM, the algorithm selects the decision boundary which maximizes the distance margin between the classes. In case of linearly separable classes in a plane, a simple straight line boundary passing through the middle of the two classes of data is sufficient to distinguish between the data points. Not all data is linearly separable, in which case we are unable to find a straight line to separate the data classes. The basic idea behind Kernel Method is that when a data set is inseparable in the current dimension, we add another dimension to try and separate the data.

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Sree Vijaykumar shared a link

How to Create Your Own Secure Node.js REST API Boilerplate

taggit Summary

You can find a new file called “ ” created in your project root directory. Once all the dependencies are installed, create a file app. js in the top-level directory of the project. Create a file in the project root directory. Save the file, import it in the app. js file and use it.

How to Create Your Own Secure Node.js REST API Boilerplate

The taggit Summary

You can find a new file called “ ” created in your project root directory. Once all the dependencies are installed, create a file app. js in the top-level directory of the project. Create a file in the project root directory. Save the file, import it in the app. js file and use it.

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Sree Vijaykumar shared a link

Streamlit: Debt vs Invest App

taggit Summary

I found that Streamlit is kind of clunky at the moment, and it does not handle big projects too well.I won’t spend too much time on the logic of the app because I really want to focus on the Streamlit part, so let’s get started. Because Streamlit can read markdown too, so we use the hashtag to signal a title with no values. This time around, I was invited to Streamlit’s platform to deploy my Streamlit projects.

Streamlit: Debt vs Invest App

The taggit Summary

I found that Streamlit is kind of clunky at the moment, and it does not handle big projects too well.I won’t spend too much time on the logic of the app because I really want to focus on the Streamlit part, so let’s get started. Because Streamlit can read markdown too, so we use the hashtag to signal a title with no values. This time around, I was invited to Streamlit’s platform to deploy my Streamlit projects.

Post is under moderation

Sree Vijaykumar shared a link

DS & Algo Problems — Tries and Radix Trees

taggit Summary

The advantage using Tries is that for prefixes such as ‘a’, ‘aa’, ‘aaa’, ‘aaaa’ and ‘aaaaa’, they are stored as separate words in the hash-set, but in the Trie they are stored as part of the same root to leaf path as all common prefixes share the same path in a Trie. For each word, compute its prefixes, if for any prefix, that prefix is present in the list of words then recursively check if the suffix is another word in the list or is also a concatenated word. Basically we store each word from the list in the Trie and then for each word we traverse the Trie to check whether the word is composed of 2 or more words from the list. The idea is that apart from storing the words in the Trie, we also store the count of words rooted at a node in the Trie i.e. number of suffixes starting at that node.

DS & Algo Problems — Tries and Radix Trees

The taggit Summary

The advantage using Tries is that for prefixes such as ‘a’, ‘aa’, ‘aaa’, ‘aaaa’ and ‘aaaaa’, they are stored as separate words in the hash-set, but in the Trie they are stored as part of the same root to leaf path as all common prefixes share the same path in a Trie. For each word, compute its prefixes, if for any prefix, that prefix is present in the list of words then recursively check if the suffix is another word in the list or is also a concatenated word. Basically we store each word from the list in the Trie and then for each word we traverse the Trie to check whether the word is composed of 2 or more words from the list. The idea is that apart from storing the words in the Trie, we also store the count of words rooted at a node in the Trie i.e. number of suffixes starting at that node.