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AHOBILAM NARASIMHA SWAMY KSHETRAM: KURNOOL (AP)
#andhratemples

Ahobilam is the place where Prabhu appears in his fierce form, called Ugra Narasimha, who is Svayambhu (self-manifest).
Ahobilam is one of the 108 Divya Desams. It has 9 shrines for different forms of Narsimha.

Ahobilam was the exact place where Sri Narasimha appeared and tore apart Hiranyakashipu to save Prahlad. At that moment, all the Devas appeared and praised him as Ahobala (Aho is mighty and bala is strength). So the place came to be called Ahobilam.

Out of the 9 shrines, most famous is the Ahobila Narasimha Swamy where Prabhu is seen as Ugra Narasimha.
In another shrine, Prabhu appears as Malola Narasimha Swamy. Malola means beloved of Lakshmi. Here Prabhu is in peaceful mudra with his consort Ma ChenchuLakshmi.

Jwala Narasimha Swamy shrine is the actual spot where the fierce anger of Prabhu reached its culmination when he tore Hiranyakasipu.

Ugra Stambham is the pillar from which Narasimha appeared with such force that the entire hill split into two.

Oleg Karpov pisze, że gdyby Siergiej Sirotkin zdobył w pierwszej części sezonu więcej punktów od Strolla, to jego kontrakt z automatu zostałby przedłużony na kolejny sezon. Tak się nie stało i Williams ma możliwość szukania innych opcji i to właśnie robi. #F1pl

Czego w artykule brakuje, to informacji, że SMP prawdopodobnie przekazało Williamsowi część środków na sfinansowanie sezonu 2019. W przypadku zakończenia współpracy ekipa z Grove będzie musiała zwrócić te środki. #F1pl

To tłumaczy wysokie kwoty jakich Williams ma oczekiwać za fotel od nowego kierowcy. Jest pewnie próg opłacalności i dopóki nie zostanie osiągnięty, to zmiana z finansowego punktu widzenia nie będzie się zwyczajnie opłacała. #F1pl

Tyle można znaleźć w oświadczeniach prasowych... 😂😂😂

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.

Thread 🧵explaining #ROE & #ROCE and its use in #FundamentalAnalysis

(Must read for #FA learners)

🙏Like & RT to spread learning with all 🙏

Views Welcome 👉 @dmuthuk @Vivek_Investor @datta_arvind @caniravkaria @FI_InvestIndia @AdityaD_Shah

#FundamentalAnalysis #StockMarket

1⃣

Return on Equity (#ROE) and Return on Capital Employed (#ROCE) are two important Financial Ratios used in #FundamentalAnalysis of Stocks.

#StockMarket #Investing

2⃣

Return on Equity (ROE) is the ratio of Net Income (Net Profit) of a company and it’s Total Equity (Shareholder's Equity).

Here - Shareholders Equity = Share Capital + Reserves & Surplus.

#StockMarket #Investing #FundamentalAnalysis

3⃣

#ROE is a measure of how much net profit a company is making for every rupee invested by its shareholders in the company.

It can be said that higher the ROE, better it is for the equity shareholders. It tells shareholders about how effectively their money is being used.

4⃣

However, you should not trust high ROE blindly. Biggest drawbacks or weaknesses of ROE is that it completely ignores debt.

Hence for companies having high levels of debt, ROE will give a higher but misleading value & therefore we need to look at #ROCE along with #ROE.