100 books that will boost your life + mindset

1-12:

TYPES OF SINS(PAAP) AS PER SKAND PURAN.

There are three types of Adharma- Sthool, Sukshma and Ati Sukshma. The group of Sins in the Sthul section carries you to Narak. These sins are committed through your thoughts, words and deeds.

It is of four types.

1)First is the sin committed by your mental state-
Thinking about woman other then your spouse.

A)Resolution to amass wealth from others.

B)Thinking ill about others.

C)Thinking of doing a forbidden or unworthy deed.

2)Second is the sin that you commit through your words :-

A)Talking irrelevant things.

B)Telling a lie.

C)Speaking harshly.

D)Talking ill about others.

3)Third type of sin is committed through your body actions-

A)Eating food not prescribed to you or forbidden.

B)Violence.

C)Eating fancier food.

D)Acquiring other's wealth.

So these twelve types of sins.

There are six types of sinners or Mahapatak

1)One not bowing his head in front of a temple.

2)Never praise Shiva.

3)People who behave untowardly way in front of Ishwar.

4)People who do not show respect to Ishwar, guru or one who are undignified.

5)One who do not behave properly.

6)One who is jealous of other bhakts.

Below is the list of sins which people may commit.

1)One who does not help a needy person or a person in pain,

This post is pretty bizarre, but it manages to hit on so many false beliefs that I've seen hurt junior data scientists that it deserves some explicit

(1) The notion that R is well-suited to "building web applications" seems totally out of left field. I don't feel like most R loyalists think this is a good idea, but it's worth calling out that no normal company will be glad you wrote your entire web app in R.

(2) It is true that Python had some issues historically with the 2-to-3 transition, but it's not such a big deal these days. On the flip side, I have found interesting R code that doesn't run in modern R interpreters because of changes in core operations (e.g. assignment syntax).

(3) "Most of the time we only need a latest, working interpreter with the latest packages to run the code" -- this is where things get real and reveal some things that hurt data scientists. If this sentence is true, it's likely because you don't share code with coworkers.

(3) Really is a broader issue in data science: people only think of what they need to do their work if no one else existed and code was never maintained. Junior data scientists almost always operate on projects they start from scratch and don't have to maintain for long.