In recent years, deep learning has emerged as a powerful tool for deriving valuable insights from large volumes of data, more commonly referred to as big data. Harnessing the computational capabilities of artificial neural networks, deep learning algorithms have the ability to model complex patterns and make accurate predictions based on these patterns. This makes … Read more
Recommender systems are ubiquitous in our everyday lives, providing personalized recommendations on social media, e-commerce platforms, and streaming services. These systems aim to simplify our decision-making by offering products, services, and content tailored to our interests and preferences. However, despite their impressive capabilities, recommender systems are not immune to flaws, and there are concerns about … Read more
In the previous article in this series, I introduced you to how to access MySQL data from within a Python script. The article described how to use the MySQL Connector to establish a connection with a database and then retrieve data through that connection. In this article, I continue the discussion by demonstrating how to … Read more
You can find memory leaks in Python code with tracemalloc. In this article, Priyanka Nawalramka demonstrates how to use tracemalloc to find the leaks.… Read more
Clustering data gives quick insights into large unstructured data. In this article, Naveed Janvekar explains clustering and provides a quick demo.… Read more
Topic modeling can be used to find more detailed insights into text than a word cloud can provide. Sanil Mhatre walks you through an example using Python.… Read more
Python is a modern general-purpose programming language that's very useful for analytics. Sanil Mhatre demonstrates sentiment analysis with Python.… Read more
After resisting learning Python for years, assuming it was just another object-oriented programming language, Andy Brown now gets what the fuss was about: Python really does make coding quicker. This article lists 10 reasons why Python is better than C# and will make your programming life easier (and two reasons, in fairness, why it might not).… Read more
Python has become a popular language because of it’s simplicity and vast library support. In this article, Julio Sampaio demonstrates how to get started creating Python apps in Visual Studio.… Read more
Visualization is often the first step in analyzing data. Python makes visualization easy. In this article, Robert Sheldon demonstrates how to generate multiple charts from one dataset using Python with SQL Server Machine Learning Services.… Read more
Python is widely used to analyze data. One such use is to find anomalies or outliers. In this article, Robert Sheldon demonstrates how to create a support vector machine (SVM) to score test data so that outliers can be viewed on a scatter plot. … Read more
Python is a versatile language that is gaining more popularity as it is used for data analysis and data science. In this article, Rick Dobson demonstrates how to download stock market data and store it into CSV files for later import into a database system. … Read more
One of the advantages of running Python from SQL Server is the ability to create graphics to assist in analysis of data. Robert Sheldon demonstrates matplotlib, a 2D plotting library, widely used with Python to create quality charts.… Read more
SQL Server Machine Learning Services provides the ability to run Python scripts directly against data in SQL Server. To do so, you must understand how to work with the data frame object. Robert Sheldon explains how to get started using the data frame object, how to pass data from SQL Server to it, and how to manipulate it with Python and pandas commands. … Read more
Python is a very popular language used for many purposes including machine learning. SQL Server 2017 supports Python with its Machine Learning Services component. Robert Sheldon explains how to get started using Python in SQL Server in the first article of this series.… Read more
Python is new to SQL Server 2017. It is intended primarily to allow the use of Python-based machine-learning within SQL Server, but it can be used for far more than this, with any Python libraries or Frameworks. To provide an example of what is possible, Hitendra shows how to use the feature securely to provide intelligent application caching, where SQL Server can automatically indicate when data changes to trigger a cache refresh. … Read more
Python is increasingly used by DBAs as a general-purpose scripting language, despite the pressure to adopt Microsoft's PowerShell. They find it easy to learn, powerful, and reasonably intuitive. Here Timothy Wiseman, a working DBA, explains the attraction of Python and gives a general introduction to the language, suitable for anyone who has been wondering whether to give it a try.
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Just when it seemed that there were were no adequate scripting systems for DBAs that could access .NET, along came two. Powershell and Python.… Read more
