COMMERCIAL BILL OPERATED
Commercial Bill Market in India – Operation Explained
The Commercial Bill Market in India is a sub-market of the money market, where short-term negotiable instruments called commercial bills (or bills of exchange) are traded. These are used primarily to finance working capital needs of businesses, especially for trade transactions.
How It Operates:
1. Issuance of the Bill (Trade Transaction)
A seller (drawer) sells goods on credit to a buyer (drawee).
To ensure payment, the
Imperfecto:: Irregulars: ir → iba, ibas, iba, íbamos, ibais, iban - ser → era, eras, era, éramos, erais, eran - ver → veía, veías, veía, veíamos, veíais, veían, yo aba / ía, tú abas / ías, él-ella-usted aba / ía, nosotros ábamos / íamos, vosotros abais / íais, ellos-ellas-ustedes aban / ían || yo sé / conozco, tú sabes / conoces, él-ella-usted sabe / conoce, nosotros sabemos / conocemos, vosotros sabéis / conocéis, ellos-ellas-ustedes saben / conocen , Saber = facts,
goedemorgen ik ben julien Costermans en dit is mijn presentatie voor motion lab 2d
ik zal jullie meenemen door mijn process voor de explainer
we beginnen bij de keuzes voor de drie sporten
als eerst heb ik research gedaan rond fietsporten er was veel keuze maar er was er maar een die echt uitsprong voor me dit was namelijk bike jousting
vervolgens ben ik overgegaan naar andere sporten waarbij een aantal van mijn keuzes eenzelfde thema hadden
dus heb ik gekozen voor archery tag en schaken
laten we
Importing a CSV file
df <- read.csv("filename.csv")
Importing a Stata .dta
file
Requires haven
package:
library(haven)
df <- read_dta("stata_file.dta")
Setting and checking the working directory
Set: setwd("your/path/here")
Get: getwd()
Access a column
df$column_name
Get mean of a column
mean(df$column)
Create a frequency table
table(df$column)
Subset rows by condition
df[df$state != "OR", ]
subset(df, state != "OR")
Subset for specific values (e.g., CA or
Biases in Thinking – Confirmation bias means ignoring evidence that opposes our beliefs (e.g., on vaccines); failing to accurately judge source credibility (e.g., celebrity endorsements); misunderstanding or not using statistics (e.g., gambler’s fallacy).*****Scientific Foundations of Psychology (antiquity–18th century) – Psychology originated in philosophy; roots of epistemology (how do we gain knowledge?); Plato: founder of Rationalism (rational analysis to understand the world rather
...Pruebas dermatológicas.
FUNCIONES DE LA PIEL
Protección - desgaste, microor, deshidra.
Prod vitamina D. Reser energética: hipodermis.
Unión mucocutánea // Composición del pelo/piel: 28% proteínas, 2% lípidos, 70% minerales/aminoácidos.
DERMOGRAMA
Técnica no invasiva. // Evalúa piel, cuero cabelludo y folículos pilosos con imagen aumentada.
TRICOGRAMA
Examen directo del pelo, su morfología y fase de crecimiento.
¿Cuándo se realiza?
Alopecia, sospecha autoinducida. / Sospecha de dermatofitos
Water cycle
the most of Earth's water is in the oceans. The sun drives the water cycle by heating water, causing it to evaporate into the air. Ice and snow can also sublimate directly into water vapor. As air rises, it cools and condenses into clouds. Air currents move these clouds globally. Within clouds, tiny water particles collide, grow, and eventually fall as precipitation (rain, snow, etc.). Snow can accumulate as ice caps and glaciers, storing water for thousands of years. In warmer climates,...
a) Prolog Program for TSP (4 cities)
% Distances
dist(a,b,10). dist(a,c,15). dist(a,d,20).
dist(b,c,35). dist(b,d,25).
dist(c,d,30).
dist(X,Y,D) :- dist(Y,X,D).
% Path cost
path_cost([_],0).
path_cost([A,B|T],Cost) :- dist(A,B,D), path_cost([B|T],C), Cost is D+C.
% All tours starting at Start
tsp(Start,Path,Cost) :-
Cities = [a,b,c,d],
select(Start,Cities,Rest),
permutation(Rest,Perm),
append([Start|Perm],[Start],Path),
path_cost(Path,Cost).
% Find shortest
shortest_
# | Key Term | Quick Meaning | Example |
---|---|---|---|
1 | Subject | The doer of the action. | She runs fast. |
2 | Verb | An action or state word. | She runs. |
3 | Auxiliary Verbs | Helping verbs. | She is running. |
4 | Predicate | The verb and all info about the subject. | The dog barked loudly. |
5 | Subject-Verb Agreement | Verb must match the subject (singular/plural). | He walks, they walk. |
6 | Simple Sentence | One complete idea (IC). | I love pizza. |
7 | Capital Letters | Start sentences |