Python for finance online bootcamp session 1

### python for finance online bootcamp - session 1: introduction to python and financial concepts

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#### session overview

in this first session, we will introduce python and its applications in finance. we will cover the basics of python programming, essential libraries for financial analysis, and a few fundamental financial concepts.

#### objectives

1. understand the basics of python programming.
2. become familiar with key libraries used in finance (numpy, pandas, matplotlib).
3. learn how to manipulate financial data using python.
4. understand basic financial concepts such as time value of money (tvm).

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### 1. introduction to python

python is a high-level, interpreted programming language that is widely used in various fields, including finance. it is known for its simplicity and readability.

#### installing python

to get started, you need to install python. the easiest way is to download anaconda, which includes python and many useful libraries.

#### writing your first python script

you can write python code in jupyter notebook, which comes with anaconda.

**example: hello, world!**

### 2. key libraries for finance

in finance, we often use the following python libraries:

- **numpy**: for numerical operations.
- **pandas**: for data manipulation and analysis.
- **matplotlib**: for data visualization.

you can install these libraries using pip if they are not already installed:

### 3. basic python concepts

#### variables and data types

#### lists and dictionaries

### 4. time value of money (tvm)

the concept of the time value of money states that a specific amount of money today is worth more than the same amount in the future due to its potential earning capacity.

#### present value calculation

the formula for present value (pv) is:

\[ pv = \f ...

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