🌅Saving Dataframes into Oracle Database with PythonYou can use the pandas library in combination with the sqlalchemy and cx_Oracle libraries to save a dataframe to an Oracle database in Python. The table structure should match the structure of the dataframe in terms of column names and data types.
🌓How to Use Pyinstaller to Generate an EXE FilePyinstaller is an incredibly useful tool for packaging your Python code into a standalone executable file. This makes it simple to distribute and run your code on various systems.
🎯Using Python to Retrieve Data Through Tableau REST-APIPython can be a powerful tool for automating this process using Tableau's REST API. We will walk through the process of using Python to extract data from the Tableau Server. The following examples demonstrate how to retrieve information about views, projects, and workbooks.
✂️Specify data format when saving Excel via PythonIn this article, we explore how to preserve formatting when saving Excel files using Python, specifically with the xlsxwriter library. Data analysts often face the challenge of converting Excel files into plain text, losing important visual cues. This guide covers essential steps such as importing the xlsxwriter package, creating worksheets for multiple pandas DataFrames, and applying various styles and formats to ensure data types like dates, integers, and decimals are displayed correctly. By setting up header formats, using different cell formats for specific data types, and adjusting column widths, readers will learn how to create well-formatted Excel files effortlessly. Follow these straightforward steps to enhance your data presentation!
📔Calendar Table DAX in Power BIIn Power BI, a date table is necessary because the DAX language does not support built-in date functions. In Tableau, no date tables are needed as it supports built-In date functions and features. To create a dynamic date table for the most recent three years, you can use the following code.
📌Automate SAP Report Extraction with PyAutoGUIAutomating SAP with PyAutoGUI involves using the Python package to simulate mouse clicks and keyboard inputs. It offers the advantage of not requiring extra rights and permissions, but may be less efficient and require more maintenance. This method is best for situations where access to APIs or databases is restricted and there is a need to automate tasks.
🎣Merge multiple Excel files using PythonThis article provides a comprehensive guide on how to efficiently merge multiple Excel files using Python. It highlights the challenges faced when consolidating similarly formatted Excel files and presents a Python solution utilizing the pandas and os libraries to automate the process. The code snippet allows users to easily combine their Excel files into a single merged_excel.xlsx file. For those without Python installed, alternatives like Deepnote and Google Colab are suggested, complete with step-by-step instructions. The article emphasizes the importance of ensuring consistent file formats and provides pro tips for a smooth merging experience. Perfect for data analysts and anyone needing to handle multiple Excel files regularly.
