Here is a quick code guideline to automate your python scripts using Power-Shell. // Define the path to the Python script $scriptPath = “” // Define the path to the Python executable $pythonPath = “” // Run the Python script & $pythonPath $scriptPath Please make sure that you replace <path-to-python-script> with the actual path to your Python …
Data Science | Run Python Scripts With PowerShell Read More »
To all the data scientists, here is the quick code in PowerShell to automate your PowerBI reports and Dashboard refresh. Import the Power BI module Import-Module -Name MicrosoftPowerBIMgmt Connect to the Power BI service Connect-PowerBIServiceAccount Get the list of Power BI files in the workspace $workspaceId = “” $workspace = Get-PowerBIWorkspace -Scope Organization -Id $workspaceId …
Python + PowerShell | Use this simple code to auto refresh the PowerBI files Read More »
To connect Oracle SQL with Python, you will need to install the following libraries: cx_Oracle: This is a Python extension module that enables access to Oracle Database. You can install it using pip: Pip install cx_Oracle Oracle Instant Client: This is a free Oracle client that allows you to connect to Oracle Database. You can …
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Time series analysis is a powerful tool for understanding and predicting trends in data over time. Python provides a range of libraries and tools for working with time series data, making it an excellent choice for data scientists and analysts. Here are some tips for doing time series analysis in Python: 1. USE THE RIGHT LIBRARIES There …
Data science can be a rewarding and exciting career, but it’s important to maintain a healthy work-life balance. Here are some tips for achieving a good balance as a data scientist: 1. SET BOUNDARIES It’s important to set boundaries and make sure you have time for both work and personal activities. This might mean setting …
Decision trees and random forests are popular machine learning algorithms used for classification and regression tasks. While they have some similarities, they also have some key differences that make them suitable for different types of problems. DECISION TREES A decision tree is a flowchart-like tree structure that makes a decision based on the values of …
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Python is a popular programming language for data science, and there are many libraries and frameworks available that can make it easier to work with data and build machine learning models. Here are 20 top Python libraries for data science: NumPy Pandas SciPy Matplotlib Seaborn Scikit-learn TensorFlow Keras PyTorch XGBoost CatBoost scikit-image OpenCV NLTK spaCy Gensim NUMPY: NumPy …
Effective communication of insights is essential for data scientists, as it allows them to share their findings with stakeholders and influence decision-making. However, communicating insights can be challenging, especially when dealing with complex or technical concepts. Here are some tips for effectively communicating insights to stakeholders: Know your audience Use clear and simple language Use …
If you are on the route of being a data analyst or data scientists, these are the top things that I will suggest you. These helped me, and I hope that considering these will help you as well. 1. KEEP LEARNING Data science is a rapidly evolving field, and it is important to stay up …
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Github is a popular platform for hosting and collaborating on software projects. It is used by millions of developers around the world to share code, track changes, and manage project workflows. There are a number of benefits to using GitHub that make it an essential tool for many developers and organizations. One of the main benefits …
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