Building a Python SDK for Azure Databricks

This article will present the project, the current progress, release plan, some design choices, and at final dev process/tools.

I spent several nights working and searching for best practices to implement this SDK. I am convinced that It will need more than my humble efforts to become stable and usable in production. Therefore, my friends, all contributions are welcome! Do not hesitate to reach to me if you want to contribute by any means (docs, code, testing, etc).


I will start by my own use-cases:

  • Mix and match: When working on a competitive field, you will have to cope with having new tools and platforms popping out from nowhere. I like to have simple means to mix my most-used tools with the brand-new ones. Using APIs to integrate directly is time-consuming, which leads in most cases to hacks and error-prone automation.
  • Keeping evolving: Usually, the ecosystem does not integrate the preview features. For example, Data Factory still does not include the docker options (DCS) when creating a cluster in the Databricks activity. Sometimes, you need to force the update. An SDK could be very useful to build custom connectors.
  • Custom bricks: You want to build on top of Azure Databricks: let’s imagine You have a great idea that you must prototype as fast as you can, for a startup or a hackathon. If some of its blocks could be done by Azure Databricks, an SDK will help you do it in no time. You will be able to bundle everything in your app or package (et voilà !).
I think It’s plenty to justify the need. Nonetheless, I am quite sure there should be additional use-cases. I’ll be excited to hear yours in the comments (on medium).

#databricks #azure #microsoft #package-design #python

What is GEEK

Buddha Community

Building a Python SDK for Azure Databricks
Ray  Patel

Ray Patel


top 30 Python Tips and Tricks for Beginners

Welcome to my Blog , In this article, you are going to learn the top 10 python tips and tricks.

1) swap two numbers.

2) Reversing a string in Python.

3) Create a single string from all the elements in list.

4) Chaining Of Comparison Operators.

5) Print The File Path Of Imported Modules.

6) Return Multiple Values From Functions.

7) Find The Most Frequent Value In A List.

8) Check The Memory Usage Of An Object.

#python #python hacks tricks #python learning tips #python programming tricks #python tips #python tips and tricks #python tips and tricks advanced #python tips and tricks for beginners #python tips tricks and techniques #python tutorial #tips and tricks in python #tips to learn python #top 30 python tips and tricks for beginners

Ray  Patel

Ray Patel


Lambda, Map, Filter functions in python

Welcome to my Blog, In this article, we will learn python lambda function, Map function, and filter function.

Lambda function in python: Lambda is a one line anonymous function and lambda takes any number of arguments but can only have one expression and python lambda syntax is

Syntax: x = lambda arguments : expression

Now i will show you some python lambda function examples:

#python #anonymous function python #filter function in python #lambda #lambda python 3 #map python #python filter #python filter lambda #python lambda #python lambda examples #python map

Aisu  Joesph

Aisu Joesph


Azure SDK Release (June 2021)

Release Highlights

Welcome to the June release of the Azure SDK. We have updated the following libraries:

Stable Releases

  • Azure Cognitive Search for .NET, Java (version 11.4), and JavaScript and Python (version 11.2)
  • Adds stable features and bug fixes from the beta releases. See the Cognitive Search changelog for more details.
  • Preview service features not generally available yet, like Semantic Search and Normalizers, are not included in this release.
  • Support for geospatial types in core for .NET and Java.
  • Support for knowledge store.
  • Azure Data Tables version 12.0
  • Read more here: Announcing the new Azure Data Table Libraries.
  • Azure SDK for Python (Conda) packages are now generally available in the Microsoft channel.
  • Read more here: Introducing the Azure SDK for Python (Conda).
  • See also:
  • Event Grid for Java (version 4.4), JavaScript and Python (version 4.3)
  • Adds new system events definition for Storage Blob and Azure Communication Service.
  • Form Recognizer version 3.1
  • This release marks the stability of the changes introduced in package versions 3.1.0-beta.1 through 3.1.0-beta.3.
  • Core, Identity, and Azure Storage for C++ version 1.0
  • This release marks the general availability for Core, Identity, and Azure Storage.
  • To get started and view samples, view the README on the Azure SDK for C++ repo.
  • Quickstarts and documentation are being updated at Microsoft Docs.
  • Key Vault Administration, Certificates, Keys and Secrets.
  • Key Vault Administration is a new library that allows for role-based access control (RBAC), and backup and restore operations for Managed HSM.
  • Key Vault Keys added functionality:
  • Support for Managed HSM.
  • Cryptography clients now support executing all operations locally if given a JsonWebKey.
  • Support for creating and importing symmetric keys for Managed HSM.
  • RSA keys now support providing a public exponent.

#azure sdk #azure #azure-sdk #javascript #python #release #sdk

Shardul Bhatt

Shardul Bhatt


Why use Python for Software Development

No programming language is pretty much as diverse as Python. It enables building cutting edge applications effortlessly. Developers are as yet investigating the full capability of end-to-end Python development services in various areas. 

By areas, we mean FinTech, HealthTech, InsureTech, Cybersecurity, and that's just the beginning. These are New Economy areas, and Python has the ability to serve every one of them. The vast majority of them require massive computational abilities. Python's code is dynamic and powerful - equipped for taking care of the heavy traffic and substantial algorithmic capacities. 

Programming advancement is multidimensional today. Endeavor programming requires an intelligent application with AI and ML capacities. Shopper based applications require information examination to convey a superior client experience. Netflix, Trello, and Amazon are genuine instances of such applications. Python assists with building them effortlessly. 

5 Reasons to Utilize Python for Programming Web Apps 

Python can do such numerous things that developers can't discover enough reasons to admire it. Python application development isn't restricted to web and enterprise applications. It is exceptionally adaptable and superb for a wide range of uses.

Robust frameworks 

Python is known for its tools and frameworks. There's a structure for everything. Django is helpful for building web applications, venture applications, logical applications, and mathematical processing. Flask is another web improvement framework with no conditions. 

Web2Py, CherryPy, and Falcon offer incredible capabilities to customize Python development services. A large portion of them are open-source frameworks that allow quick turn of events. 

Simple to read and compose 

Python has an improved sentence structure - one that is like the English language. New engineers for Python can undoubtedly understand where they stand in the development process. The simplicity of composing allows quick application building. 

The motivation behind building Python, as said by its maker Guido Van Rossum, was to empower even beginner engineers to comprehend the programming language. The simple coding likewise permits developers to roll out speedy improvements without getting confused by pointless subtleties. 

Utilized by the best 

Alright - Python isn't simply one more programming language. It should have something, which is the reason the business giants use it. Furthermore, that too for different purposes. Developers at Google use Python to assemble framework organization systems, parallel information pusher, code audit, testing and QA, and substantially more. Netflix utilizes Python web development services for its recommendation algorithm and media player. 

Massive community support 

Python has a steadily developing community that offers enormous help. From amateurs to specialists, there's everybody. There are a lot of instructional exercises, documentation, and guides accessible for Python web development solutions. 

Today, numerous universities start with Python, adding to the quantity of individuals in the community. Frequently, Python designers team up on various tasks and help each other with algorithmic, utilitarian, and application critical thinking. 

Progressive applications 

Python is the greatest supporter of data science, Machine Learning, and Artificial Intelligence at any enterprise software development company. Its utilization cases in cutting edge applications are the most compelling motivation for its prosperity. Python is the second most well known tool after R for data analytics.

The simplicity of getting sorted out, overseeing, and visualizing information through unique libraries makes it ideal for data based applications. TensorFlow for neural networks and OpenCV for computer vision are two of Python's most well known use cases for Machine learning applications.


Thinking about the advances in programming and innovation, Python is a YES for an assorted scope of utilizations. Game development, web application development services, GUI advancement, ML and AI improvement, Enterprise and customer applications - every one of them uses Python to its full potential. 

The disadvantages of Python web improvement arrangements are regularly disregarded by developers and organizations because of the advantages it gives. They focus on quality over speed and performance over blunders. That is the reason it's a good idea to utilize Python for building the applications of the future.

#python development services #python development company #python app development #python development #python in web development #python software development

Art  Lind

Art Lind


Python Tricks Every Developer Should Know

Python is awesome, it’s one of the easiest languages with simple and intuitive syntax but wait, have you ever thought that there might ways to write your python code simpler?

In this tutorial, you’re going to learn a variety of Python tricks that you can use to write your Python code in a more readable and efficient way like a pro.

Let’s get started

Swapping value in Python

Instead of creating a temporary variable to hold the value of the one while swapping, you can do this instead

>>> FirstName = "kalebu"
>>> LastName = "Jordan"
>>> FirstName, LastName = LastName, FirstName 
>>> print(FirstName, LastName)
('Jordan', 'kalebu')

#python #python-programming #python3 #python-tutorials #learn-python #python-tips #python-skills #python-development