In this article, I am going to cover in detail about working with databases in Python using Pandas and SQLAlchemy. This is a part of the series “Learn Pandas in Python” where I talk about the various techniques to work with the Pandas module in Python.Read more »
In this article, I am going to demonstrate how to connect to databases using a pandas dataframe object. Pandas in Python uses a module known as SQLAlchemy to connect to various databases and perform database operations. In the previous article in this series “Learn Pandas in Python”, I have explained how to get up and running with the dataframe object in pandas. Using the dataframe object, you can easily start working with your structured datasets in a similar way that of relational tables. I would suggest you have a look at that article in case you are new to pandas and want to learn more about the dataframe object.Read more »
In this article, I am going to explain in detail the Pandas Dataframe objects in python. In the previous article in this series Learn Pandas in Python, I have explained what pandas are and how can we install the same in our development machines. I have also explained the use of pandas along with other important libraries for the purpose of analyzing data with more ease. Pandas provides a dataframe object which makes it relatively easier to consider working with the data as it provides a tabular interface for the data in it. People who are already familiar in working with relational databases, they can really find similarities between a table in the database and the dataframe object in pandas.Read more »
In this article, I am going to explain what Jupyter Notebooks are and how to install the same on your machine. Further, I will demonstrate how to use these notebooks using Visual Studio Code and perform data analysis and other development activities. It is an open-source platform using which you can create and share documents that contain live code, equations, and visualizations along with the formatted text. Most importantly, these notebooks can be run on the web browser by just starting a server and using it. This open-source project is maintained by the team at Project Jupyter.Read more »
In this article, I am going to explain how to use Pandas in Python. Pandas is one of the most popular modules in python that can be used for data manipulation and analysis using python. Basically, it provides an easy interface to interact with flowing data and apply transformations to them on the go. This module is covered under the BSD license and can be used for free. You can download this module by visiting the website or by installing it through the python package manager.Read more »
In this article, I am going to explain what Amazon S3 is and how to connect to it using python. This article will be focused on beginners who are trying to get their hands on in python and working around the AWS ecosystem. AWS, as you might know, is one of the largest cloud providers along with Microsoft Azure and Google Cloud Platform. There are a lot of services offered by Amazon including AWS S3. Amazon S3, also abbreviated as Amazon Simple Storage Service is a storage service offered by the cloud provider that enables the users to store any kind of files in this service. It is designed to make web-scale computing easier for developers.Read more »
In this article, we are going to build a small python application and deploy it to Azure Functions. The development and the deployment will be done using the Visual Studio (VS) Code. As you might be aware, VS Code is one of the most widely used and preferred code editors for programmers. It is a cross-platform tool, which means you can install this tool on any operating system of your choice, starting from Windows, Linux, or Mac OS.Read more »
In this article, I am going to explain how we can easily debug Python scripts using the Visual Studio (VS) Code. In my previous article on this topic, I have explained how to set up a development environment to start coding in Python. I would definitely recommend reading that article if you have not setup your Visual Studio Code environment yet. This article can be considered as a continuation from the above-mentioned steps as I am assuming that you are already into programming in Python using the VS Code.Read more »
In this article, I am going to explain how to set up your Visual Studio Code for Python Development. Visual Studio Code or, popularly known as VS Code, is one of the free and open-source code editors developed by Microsoft and is mostly preferred by developers of all the major programming languages due to its flexibility and other integrated development tools like debugging, IntelliSense, etc. Visual Studio Code is available to be downloaded for all the major operating systems like Windows, Linux, and macOS. You can visit https://visualstudio.microsoft.com/ to download it based on the OS you are using.Read more »
This article gives an overview of Python Script functions to split strings and string concatenation functions.Read more »
This article talks about Python scripts for creating pivot tables in multiple ways.Read more »
In this article, we will use Python scripts for data formatting in Microsoft Excel sheet with various examples.Read more »
The Jupyter notebook is a powerful and interactive tool that supports various programming languages such as Python, R, Julia. This open-source utility is popular among data scientists and engineers. This notebook integrates both code and text in a document that allows you to execute code, view visualization, solve mathematical equations.Read more »
This article explores the Python scripts for encrypting and decrypting passwords in SQL Server using Azure Data Studio SQL Notebooks.Read more »
This article explores the Python SQL scripts in SQL Notebook of Azure Data Studio.Read more »
This article covers how to connect a Python application to Microsoft SQL Server using a 3rd party Python SQL library. The library that we are going to use is called “pyodbc”, which is freely available. We will use “pyodbc” to perform CRUD (Create Read Update and Delete) operations on a Microsoft SQL Server database.Read more »
The Python programming language is object oriented, easy to use and, widely used programming language. We can write simple Python SQL Scripts and it performs the task that is not easy to do with t-SQL.
Using Python SQL scripts is a powerful technical combination to help developers and database administrators to do data analytics activities. Python provides many useful modules to perform data computation and processing of data efficiently. We can run Python scripts starting from SQL Server 2017. We can create the ETL solutions to extract data from various sources and insert into SQL Server.Read more »
Power BI Desktop helps to visualize complex data with the help of inbuilt and custom visualizations. It allows integrating data from the various data sources and preparing visualization from it.
Microsoft recently integrated the Python programming language in the Power BI. Python is a powerful object-oriented language and is used by the data analyst and scientist to analyze complex datasets. We can now use the Python as a preview feature in the Power BI August 2018 release onwards. We can now use Python scripts to generate custom visualization. The combination of these technologies is akin to 1 + 1 = 3 or like the famous ad for Reese’s Peanut butter cups, when chocolate was introduced to Peanut Butter 😉Read more »
With the introduction of SQL Machine Learning Services, it is now possible to run Python Scripts from any SQL Server client such as SQL Server Management Studio. In addition to directly running the Python Scripts on SQL Server Clients, you can write Python Code on native Python editors and run it remotely on SQL Server using Python clients for SQL Server.
In this article, we will see how to execute some of the basic Python functionalities within SQL Server Management Studio. The article provides an introduction to running basic Python scripts in SQL Server Management Studio.Read more »
Some of my previous articles on Python provided insight of the basics and the usage of Python in SQL Server 2017.
- Why would a SQL Server DBA be interested in Python
- An overview of Python vs PowerShell for SQL Server Database Administration
- Data Interpolation and Transformation using Python in SQL Server 2017
This article is an effort to collect all the missing pieces and try to showcase the importance of using Python programming in SQL Server.Read more »
One of the new features announced with SQL Server 2017 is support for the Python language. This is big! In SQL Server 2016, Microsoft announced support for the R language – an open source language ideally suited for statistical analysis and machine learning (ML). Recognizing that many data scientists use Python with ML libraries, the easy-to-learn-hard-to-forget language has now been added to the SQL Server ML suite.
There’s a big difference between R and Python though: R is a domain-specific language while Python is general purpose. That means that the full power of Python is available within SQL Server. This article leaves ML aside for the moment and explores a few of the other possibilities.Read more »
As a continuation to my previous article, How to use Python in SQL Server 2017 to obtain advanced data analytics, a little bit of curiosity about Deep Learning with Python integration in SQL Server led me to write this latest article.
With Python running within SQL Server, you can bring the existing data and the code together. Data is accessible directly, so there’s no need to extract query data sets, moving data from storage to the application. It’s a useful approach, especially considering issues of data sovereignty and compliance, since the code runs within the SQL Server security boundaries, triggered by a single call from T-SQL stored procedures.Read more »
Today, Microsoft claims that Linux runs like a First-Class citizen on Azure, .NET Core has been open-sourced, and has been ported over to Linux, taking PowerShell along. PowerShell runs really well on Ubuntu, CentOS, RedHat Linux, and even Mac OS X. There are Alpha builds available for a few other platforms as well, all available for exploitation under the MIT License on GitHub. “Manage anything, anywhere” is what Microsoft is offering to its customers. Keeping with that, we now have:Read more »