10. Automation In Pandas

Automation in Pandas refers to the process of using programming techniques and tools to streamline data manipulation and analysis tasks using the Pandas library in Python. Pandas is a popular open-source data analysis and manipulation library that provides powerful data structures, such as DataFrame and Series, for handling and analyzing data.

Automation in Pandas typically involves using various methods, functions, and techniques to automate repetitive tasks and streamline data processing workflows. Some common examples of automation in Pandas include:

1. Data cleaning: Automating tasks such as missing data imputation, data type conversion, data normalization, and data validation using Pandas' built-in methods and functions.

2. Data transformation: Automating tasks such as data aggregation, data reshaping, and data merging/joining using Pandas' methods such as groupby(), pivot_table(), melt(), and merge().

3. Data analysis: Automating tasks such as data filtering, data sorting, and data calculation using Pandas' methods such as query(), sort_values(), and apply().

4. Data visualization: Automating tasks such as data plotting and charting using Pandas' built-in plotting capabilities, such as plot() and plot.bar().

5. Data processing workflows: Automating end-to-end data processing workflows using Pandas in combination with other Python libraries, such as NumPy, Matplotlib, and Scikit-learn, to perform complex data analysis tasks, such as data preprocessing, feature engineering, and machine learning model training.

Automation in Pandas can significantly improve the efficiency and productivity of data analysis tasks, as it eliminates manual and repetitive tasks and allows data analysts and data scientists to focus on higher-level analysis and insights from the data.

Step 0 : Go to python File Run it , Copy above written python Interpreter and file Path :

Copy the highlited part and open a notepad and write down copied path Like this :

C:\Users\abhis\.virtualenvs\project1\Scripts\python.exe C:\Users\abhis\PycharmProjects\project1\a.py  %*

and save this as a .bat file.

Step 1: Create your Python script Create a Python script that you want to automate. Save it with a .py extension. For example, let's say you have a script called "myscript.py" that you want to run automatically.

Step 2: Open Task Scheduler Open Task Scheduler by searching for "Task Scheduler" in the Windows Start menu and clicking on it.

Step 3: Create a new task In the Task Scheduler window, click on "Create Basic Task" or "Create Task" in the right-hand sidebar, depending on your Windows version.

Step 4: Provide a name and description Enter a name and optional description for your task, and click "Next".

Step 5: Choose trigger Choose the trigger that you want to use to automatically run your Python script. For example, you can choose to run it daily, weekly, or when the computer starts. Click "Next" when you've selected your desired trigger.

Step 6: Choose action Choose "Start a program" as the action to perform, and click "Next".

Step 7: Provide the path to Python interpreter and script In the "Program/script" field, enter the path to your Python interpreter. This is usually the path to the Python executable on your system, followed by the path to your Python script. For example:

Path to Python interpreter: C:\Python27\python.exe (or wherever your Python interpreter is installed) Path to script: C:\path\to\myscript.py (replace with the actual path to your script)

Click "Next" when you've provided the correct paths.

Step 8: Finish and review Review your settings on the summary screen and click "Finish" to create the task.

Step 9: Provide additional settings (optional) You can provide additional settings for your task, such as running with highest privileges, configuring conditions, or setting up triggers. You can also set up multiple triggers or actions for your task if desired. Adjust these settings as needed, and click "OK" when you're done.

That's it! Your Python script will now be automatically executed according to the triggers you have set up in Task Scheduler. You can also manually run the task by right-clicking on it in Task Scheduler and selecting "Run".