### Installing Isyatirimhisse Library (Latest Version) - Bash

Source: https://github.com/urazakgul/isyatirimhisse/blob/main/README.md

This command installs the latest stable version of the `isyatirimhisse` Python package using pip. It's the standard way to get the library set up on your system.

```Bash
pip install isyatirimhisse
```

--------------------------------

### Installing isyatirimhisse Python Library

Source: https://github.com/urazakgul/isyatirimhisse/blob/main/README.md

This command installs the `isyatirimhisse` Python library using pip, the standard package installer for Python. It fetches the latest stable version of the library from PyPI.

```bash
pip install isyatirimhisse
```

--------------------------------

### Retrieving Single Stock Daily Data (THYAO)

Source: https://github.com/urazakgul/isyatirimhisse/blob/main/README.md

This example demonstrates how to fetch daily closing prices for a single stock symbol ('THYAO') from a specified start date ('02-01-2023') up to the latest trading day. It initializes the `StockData` class and uses its `get_data` method, printing the resulting pandas DataFrame.

```python
stock_data = StockData()

df = stock_data.get_data(
    symbols='THYAO',
    start_date='02-01-2023'
)
print(df)
```

--------------------------------

### Checking Installed Isyatirimhisse Package Version - Bash

Source: https://github.com/urazakgul/isyatirimhisse/blob/main/README.md

Use this command to display information about the installed `isyatirimhisse` package, including its version number, location, and dependencies. This helps verify successful installation and version.

```Bash
pip show isyatirimhisse
```

--------------------------------

### Retrieving Multiple Stock Financial Statements with Financials (Python)

Source: https://github.com/urazakgul/isyatirimhisse/blob/main/README.md

This example demonstrates how to retrieve financial statements for multiple stocks (e.g., 'THYAO', 'AKBNK') within a specified start and end year range. It fetches data in Turkish Lira, using financial group '1', and saves the output to an Excel file.

```python
financials = Financials()

df = financials.get_data(
    symbols=['THYAO','AKBNK'],
    start_year='2019',
    end_year='2023',
    exchange='TRY',
    financial_group='1',
    save_to_excel=True
)
```

--------------------------------

### Checking isyatirimhisse Library Version

Source: https://github.com/urazakgul/isyatirimhisse/blob/main/README.md

This command displays detailed information about the installed `isyatirimhisse` package, including its version, location, and dependencies. It's useful for verifying successful installation and version.

```bash
pip show isyatirimhisse
```

--------------------------------

### Retrieving Single Stock Financial Statements with Financials (Python)

Source: https://github.com/urazakgul/isyatirimhisse/blob/main/README.md

This example demonstrates how to retrieve financial statements for a single stock symbol (e.g., 'THYAO') using the `Financials` class. It fetches data starting from a specified `start_year`. The `get_data` method returns a dictionary where keys are symbols and values are financial data.

```python
financials = Financials()

df = financials.get_data(
    symbols='THYAO',
    start_year='2020'
)
print(df)
```

--------------------------------

### Installing Specific Version of isyatirimhisse

Source: https://github.com/urazakgul/isyatirimhisse/blob/main/README.md

This command installs a specific version (4.0.0) of the `isyatirimhisse` Python library. This is useful for ensuring compatibility or replicating environments.

```bash
pip install isyatirimhisse==4.0.0
```

--------------------------------

### Computing Simple Returns for Multiple Stocks Quarterly USD Prices with StockData (Python)

Source: https://github.com/urazakgul/isyatirimhisse/blob/main/README.md

This example demonstrates how to compute simple returns for multiple stocks (e.g., 'THYAO', 'PGSUS') using quarterly USD prices. It defines a specific `start_date` and `end_date`, sets the exchange to USD, frequency to quarterly, and `return_type` to simple return.

```python
stock_data = StockData()

df = stock_data.get_data(
    symbols=['THYAO','PGSUS'],
    start_date='01-01-2023',
    end_date='29-09-2023',
    exchange='1',
    frequency='3mo',
    return_type='2'
)
print(df)
```

--------------------------------

### Installing Specific Version of Isyatirimhisse Library - Bash

Source: https://github.com/urazakgul/isyatirimhisse/blob/main/README.md

This command allows users to install a particular version of the `isyatirimhisse` library, such as version 4.0.0, which can be useful for compatibility or specific feature requirements.

```Bash
pip install isyatirimhisse==4.0.0
```

--------------------------------

### Retrieving Multiple Stock Weekly Average Prices in TRY with StockData (Python)

Source: https://github.com/urazakgul/isyatirimhisse/blob/main/README.md

This example shows how to retrieve weekly average closing prices in Turkish Lira for multiple stock symbols (e.g., 'THYAO', 'PGSUS'). Data is fetched from a specified `start_date` up to the last trading day, with a weekly frequency and observation set to 'mean'. The data is adjusted with Sunday as the starting point for weekly frequency.

```python
stock_data = StockData()

df = stock_data.get_data(
    symbols=['THYAO','PGSUS'],
    start_date = '02-01-2023',
    exchange='0',
    frequency='1w',
    observation='mean'
)
print(df)

# The data is adjusted with a weekly frequency, considering Sunday as the starting point.
```

--------------------------------

### Retrieving Multiple Stock Financial Statements and Extracting Data with Financials (Python)

Source: https://github.com/urazakgul/isyatirimhisse/blob/main/README.md

This example shows how to retrieve financial statements for multiple stocks (e.g., 'THYAO', 'PGSUS') within a desired start and end year range, saving the result to an Excel file. It also demonstrates how to extract and convert the data for a specific company (e.g., 'THYAO') from the returned dictionary into a pandas DataFrame.

```python
financials = Financials()

df = financials.get_data(
    symbols=['THYAO','PGSUS'],
    start_year='2019',
    end_year='2023',
    exchange='TRY',
    financial_group='1',
    save_to_excel=True
)

import pandas as pd

df_thyao = pd.DataFrame(df['THYAO'])
```

--------------------------------

### Retrieving Multiple Stocks Monthly Log Returns (USD)

Source: https://github.com/urazakgul/isyatirimhisse/blob/main/README.md

This example shows how to obtain monthly logarithmic returns for multiple stock symbols ('THYAO', 'PGSUS') within a specified date range. It sets the exchange to USD ('1'), frequency to monthly ('1mo'), and return type to logarithmic ('1'), then displays the resulting DataFrame.

```python
stock_data = StockData()

df = stock_data.get_data(
    symbols=['THYAO','PGSUS'],
    start_date='01-01-2023',
    end_date='29-09-2023',
    exchange='1',
    frequency='1mo',
    return_type='1'
)
print(df)
```

--------------------------------

### Retrieving Single Stock Daily Closing Prices with StockData (Python)

Source: https://github.com/urazakgul/isyatirimhisse/blob/main/README.md

This example demonstrates how to retrieve daily closing prices for a single stock symbol (e.g., 'THYAO') using the `StockData` class. It fetches data from a specified `start_date` up to the last trading day. The `get_data` method returns a pandas DataFrame containing the stock information.

```python
stock_data = StockData()

df = stock_data.get_data(
    symbols='THYAO',
    start_date='02-01-2023'
)
print(df)
```

--------------------------------

### Computing Logarithmic Returns for Multiple Stocks Monthly USD Prices with StockData (Python)

Source: https://github.com/urazakgul/isyatirimhisse/blob/main/README.md

This example illustrates how to compute logarithmic returns for multiple stocks (e.g., 'THYAO', 'PGSUS') using monthly USD prices. It specifies both `start_date` and `end_date` for the data range, setting the exchange to USD and frequency to monthly, with `return_type` as logarithmic return.

```python
stock_data = StockData()

df = stock_data.get_data(
    symbols=['THYAO','PGSUS'],
    start_date='01-01-2023',
    end_date='29-09-2023',
    exchange='1',
    frequency='1mo',
    return_type='1'
)
print(df)
```

--------------------------------

### Retrieving Multiple Stocks Weekly Mean Data (TL)

Source: https://github.com/urazakgul/isyatirimhisse/blob/main/README.md

This snippet illustrates fetching weekly average closing prices in Turkish Lira for multiple stock symbols ('THYAO', 'PGSUS') from a given start date. It specifies the exchange as TL ('0'), frequency as weekly ('1w'), and observation as mean ('mean'), then prints the DataFrame.

```python
stock_data = StockData()

df = stock_data.get_data(
    symbols=['THYAO','PGSUS'],
    start_date = '02-01-2023',
    exchange='0',
    frequency='1w',
    observation='mean'
)
print(df)
```

--------------------------------

### Retrieving Annual Average USD Prices and Saving to Excel with StockData (Python)

Source: https://github.com/urazakgul/isyatirimhisse/blob/main/README.md

This example shows how to retrieve annual average USD prices for multiple stocks (e.g., 'THYAO', 'EUPWR') within a specified date range and save the result to an Excel file. It sets the exchange to USD, frequency to yearly, and enables `save_to_excel`. Note that data for some stocks might be unavailable for older dates.

```python
stock_data = StockData()

df = stock_data.get_data(
    symbols=['THYAO','EUPWR'],
    start_date='01-01-2012',
    end_date='06-10-2023',
    exchange='1',
    frequency='1y',
    return_type='1',
    save_to_excel=True
)
print(df)

# Note: Data for the EUPWR stock before the year 2023 is unavailable, and therefore, it will not be displayed in the output.
```

--------------------------------

### Importing StockData and Financials Classes

Source: https://github.com/urazakgul/isyatirimhisse/blob/main/README.md

This Python snippet imports the `StockData` and `Financials` classes from the `isyatirimhisse` library. These classes are essential for interacting with the İş Yatırım website to retrieve stock data and financial statements, respectively.

```python
from isyatirimhisse import StockData, Financials
```

--------------------------------

### Importing StockData and Financials Classes - Python

Source: https://github.com/urazakgul/isyatirimhisse/blob/main/README.md

This Python import statement brings the `StockData` and `Financials` classes into the current scope. `StockData` is used for fetching stock and index data, while `Financials` is for retrieving financial statements.

```Python
from isyatirimhisse import StockData, Financials
```

=== COMPLETE CONTENT === This response contains all available snippets from this library. No additional content exists. Do not make further requests.