Hacker News

JULY 1, 2025

Good at Go, Kubernetes (Understanding how to manage stateful services in a multi-cloud environment) We have a Python service in our Recommendation pipeline, so some ML/Data Science knowledge would be good. Queries everywhere – SQL lives in Slack snippets, BI folders, dusty Git repos, and copy-pasted Notion pages.

Python 78

Python AWS ML ML 78

Flipboard

APRIL 16, 2025

For the development environment, you can use an Amazon Elastic Compute Cloud (Amazon EC2) instance (choose select at least a t3.small Install Python 3.9 Lastly, build a Lambda layer that includes two Python libraries. If this is the case, the Lambda function files the request with the relevant data in an SQS FIFO queue.

AWS 101

AWS Database AI AI 101

Analytics Vidhya

JULY 18, 2022

Introduction Elasticsearch is primarily a document-based NoSQL database, meaning developers do not need any prior knowledge of SQL to use it. The post Introduction to Elasticsearch using Python appeared first on Analytics Vidhya. Still, it is much more than just a NoSQL database.

Python 318

Python SQL Database Data Science 318

KDnuggets

JANUARY 8, 2020

The standard job description for a Data Scientist has long highlighted skills in R, Python, SQL, and Machine Learning. With the field evolving, these core competencies are no longer enough to stay competitive in the job market.

Data Science 400

Data Science Data Scientist SQL Machine Learning 400

Data Science Blog

SEPTEMBER 19, 2023

With the evolution of cloud computing, many organizations are now migrating their Data Warehouse Systems to the cloud for better scalability, flexibility, and cost-efficiency. So why using IaC for Cloud Data Infrastructures? using for loops in Python).

Data Warehouse 259

Data Warehouse Azure SQL Database 259

Data Science Connect

JANUARY 27, 2023

Learn SQL: As a data engineer, you will be working with large amounts of data, and SQL is the most commonly used language for interacting with databases. Understanding how to write efficient and effective SQL queries is essential.

Data Engineering 130

Data Engineering Data Engineering Data Engineering Data Engineer 130

Hacker News

NOVEMBER 19, 2024

Here are a few of the things that you might do as an AI Engineer at TigerEye: - Design, develop, and validate statistical models to explain past behavior and to predict future behavior of our customers’ sales teams - Own training, integration, deployment, versioning, and monitoring of ML components - Improve TigerEye’s existing metrics collection and (..)

Computer Science 153

Computer Science Computer Science ETL ML 153

Data Science Dojo

OCTOBER 4, 2024

Explore the top 5 no-code AI tools for software developers Key Skills Required Proficiency in programming languages such as Python, C++, and JavaScript. Programming Skills: Proficiency in programming languages such as Python, R, Java, and SQL. Strong problem-solving and critical-thinking abilities.

Computer Science 420

Computer Science Computer Science Database Administration Data Scientist 420

Smart Data Collective

NOVEMBER 8, 2020

Data engineering primarily revolves around two coding languages, Python and Scala. You should learn how to write Python scripts and create software. As such, you should find good learning courses to understand the basics or advance your knowledge of Python. As such, you should begin by learning the basics of SQL.

Data Engineering 104

Data Engineering Data Engineering Data Engineering Data Engineer 104

Data Science Dojo

JULY 3, 2024

They cover a wide range of topics, ranging from Python, R, and statistics to machine learning and data visualization. Here’s a list of key skills that are typically covered in a good data science bootcamp: Programming Languages : Python : Widely used for its simplicity and extensive libraries for data analysis and machine learning.

Data Science 150

Data Science Machine Learning Machine Learning Data Visualization 150

AWS Machine Learning Blog

NOVEMBER 8, 2023

In this era of cloud computing, developers are now harnessing open source libraries and advanced processing power available to them to build out large-scale microservices that need to be operationally efficient, performant, and resilient. This can lead to higher latency and increased network bandwidth utilization.

AWS 126

AWS Cloud Computing ML ML 126

Smart Data Collective

JUNE 4, 2021

Programming Language (R or Python). Programmers can start with either R or Python. it is overwhelming to learn data science concepts and a general-purpose language like python at the same time. Python can be added to the skill set later. Both R (ggplot2) and python (Matplotlib) have excellent graphing capabilities.

Data Science 132

Data Science Exploratory Data Analysis Machine Learning Machine Learning 132

Towards AI

APRIL 19, 2024

PwC 👉Industry domain: AI, Professional services, Business intelligence, Consulting, Cybersecurity, Generative AI 👉Location: 73 offices 👉Year founded: 1998 👉Programming Languages Deployed: Java, Google Cloud, Microsoft SQL, jQuery, Pandas, R, Oracle 👉Benefits: Hybrid workspace, Child care and parental leave, flexible (..)

AI 110

AI AI Artificial Intelligence Artificial Intelligence 110

Towards AI

AUGUST 24, 2024

I leveraged GitHub repository creation data to analyze adoption trends in AI and cloud computing adoption. Dependent on some manual investigation of the right python package names. Dependent on some manual investigation of the right python package names. Code below, analysis follows.

Azure 98

Azure Python AI AI 98

Smart Data Collective

MAY 20, 2019

For frameworks and languages, there’s SAS, Python, R, Apache Hadoop and many others. Cloud Computing and Related Mechanics. Big data, advanced analytics, machine learning, none of these technologies would exist without cloud computing and the resulting infrastructure.

Analytics 112

Analytics Analytics Data Analyst Machine Learning 112

ODSC - Open Data Science

FEBRUARY 17, 2023

Data Science Fundamentals Going beyond knowing machine learning as a core skill, knowing programming and computer science basics will show that you have a solid foundation in the field. Computer science, math, statistics, programming, and software development are all skills required in NLP projects. Knowing some SQL is also essential.

Deep Learning 111

Deep Learning Deep Learning Data Science Natural Language Processing 111

Pickl AI

JANUARY 22, 2025

Summary: This article highlights the ten most popular programming languages in 2025, including Python, Java, and JavaScript. Languages like Python and Java dominate the landscape, powering applications in Data Science, web development, and enterprise solutions. Key Takeaways Python is ideal for beginners and Data Science applications.

Data Science 52

Data Science Python SQL Cloud Computing 52

Becoming Human

MAY 15, 2023

One is a scripting language such as Python, and the other is a Query language like SQL (Structured Query Language) for SQL Databases. Python things like its Data Structures and their operations, Loops , Conditional Statements , Functional Programming , and Object Oriented Programming.

Data Science 75

Data Science Machine Learning Machine Learning Database 75

Analytics Vidhya

MARCH 8, 2023

The Biggest Data Science Blogathon is now live! Knowledge is power. Sharing knowledge is the key to unlocking that power.”― Martin Uzochukwu Ugwu Analytics Vidhya is back with the largest data-sharing knowledge competition- The Data Science Blogathon.

Data Science 345

Data Science Analytics Analytics Apache Hadoop 345

Analytics Vidhya

DECEMBER 12, 2022

Data science is one of India’s rapidly growing and in-demand industries, with far-reaching applications in almost every domain. Not just the leading technology giants in India but medium and small-scale companies are also betting on data science to revolutionize how business operations are performed.

Analytics 342

Analytics Analytics Data Science Data Visualization 342

Analytics Vidhya

JANUARY 8, 2023

Hey, are you the data science geek who spends hours coding, learning a new language, or just exploring new avenues of data science? If all of these describe you, then this Blogathon announcement is for you! Analytics Vidhya is back with its 28th Edition of blogathon, a place where you can share your knowledge about […].

Data Science 328

Data Science Analytics Analytics Hadoop 328

Analytics Vidhya

JANUARY 30, 2023

Introduction Azure Functions is a serverless computing service provided by Azure that provides users a platform to write code without having to provision or manage infrastructure in response to a variety of events. Azure functions allow developers […] The post How to Develop Serverless Code Using Azure Functions?

Azure 327

Azure Database Analytics Analytics 327

Applied Data Science

AUGUST 2, 2021

The most common data science languages are Python and R   —  SQL is also a must have skill for acquiring and manipulating data. They bring deep expertise in machine learning , clustering , natural language processing , time series modelling , optimisation , hypothesis testing and deep learning to the team.

Data Science 130

Data Science Data Scientist Data Analyst Machine Learning 130

Mlearning.ai

MAY 23, 2023

Mathematics for Machine Learning and Data Science Specialization Proficiency in Programming Data scientists need to be skilled in programming languages commonly used in data science, such as Python or R. Familiarity with libraries like pandas, NumPy, and SQL for data handling is important.

Data Science 52

Data Science Data Scientist Apache Hadoop Machine Learning 52

AWS Machine Learning Blog

AUGUST 8, 2023

It offers magic ( %spark , %sql ) commands to run Spark code, perform SQL queries, and configure Spark settings like executor memory and cores. For the SageMaker Processing job, you can configure the Spark event log location directly from the SageMaker Python SDK.

AWS 97

AWS Clustering Machine Learning Machine Learning 97

Dataconomy

MAY 2, 2023

What do machine learning engineers do: They analyze data and select appropriate algorithms Programming skills To excel in machine learning, one must have proficiency in programming languages such as Python, R, Java, and C++, as well as knowledge of statistics, probability theory, linear algebra, and calculus.

ML 110

ML ML Machine Learning Machine Learning 110

Pickl AI

JANUARY 13, 2025

Key Skills Proficiency in programming languages like Python and R. Proficiency in programming languages like Python and SQL. Proficiency in programming languages like Python or Java. Key Skills Proficiency in programming languages such as C++ or Python. Familiarity with SQL for database management.

AI 52

AI AI Machine Learning Machine Learning 52

Pickl AI

JULY 30, 2024

The University of Nottingham offers a Master of Science in Bioinformatics, which is aimed at students with a background in biological sciences who wish to develop skills in bioinformatics, statistics, computer programming , and Data Analytics. Skills Develop proficiency in programming languages like Python , R, and SQL.

Cloud Computing 52

Cloud Computing Machine Learning Machine Learning Power BI 52

Pickl AI

JANUARY 17, 2023

Furthermore, you should also have the skills to use software packages and programming languages like Python, R and SQL. Programming languages include Python, R, SQL and SAS which you might be able to use for conducting mathematical tasks easily. You should be able to work with complex data sets to solve business problems.

Data Scientist 52

Data Scientist Data Science Machine Learning Machine Learning 52

Pickl AI

APRIL 6, 2023

In-depth knowledge of distributed systems like Hadoop and Spart, along with computing platforms like Azure and AWS. Strong programming language skills in at least one of the languages like Python, Java, R, or Scala. Strong skills in working with Azure cloud-based environment with delta lake implementation. What is Polybase?

Azure 52

Azure Data Engineering Data Engineering Data Engineering 52

Pickl AI

DECEMBER 4, 2024

A key aspect of this evolution is the increased adoption of cloud computing, which allows businesses to store and process vast amounts of data efficiently. Grasp the Fundamentals of Data Analysis and Management Build a strong foundation in Data Analysis by learning data manipulation techniques using SQL and Excel.

Data Science 52

Data Science Data Scientist Machine Learning Machine Learning 52

Pickl AI

SEPTEMBER 12, 2023

They gather, clean, analyze, and visualize data using tools like Excel, SQL, and data visualization software. Data Analyst: Data Analysts work with data to extract meaningful insights and support decision-making processes. Why Pursue a Course in Data Science? is one of the emerging tech platforms offering a host of Data Science courses.

Data Science 52

Data Science Data Analyst Machine Learning Machine Learning 52

Pickl AI

SEPTEMBER 5, 2024

Microsoft Azure, often referred to as Azure, is a robust cloud computing platform developed by Microsoft. It offers a wide range of cloud services, including: Compute Power: Scalable virtual machines and container services for running applications. What is Azure?

Azure 52

Azure Data Scientist Data Science Machine Learning 52

IBM Journey to AI blog

JULY 6, 2023

The fields have evolved such that to work as a data analyst who views, manages and accesses data, you need to know Structured Query Language (SQL) as well as math, statistics, data visualization (to present the results to stakeholders) and data mining. Python is the most common programming language used in machine learning.

Machine Learning 70

Machine Learning Machine Learning Data Science Big Data 70

The MLOps Blog

JUNE 27, 2023

For example, if your team is proficient in Python and R, you may want an MLOps tool that supports open data formats like Parquet, JSON, CSV, etc., Soda Core Soda Core is an open-source data quality management framework for SQL, Spark, and Pandas-accessible data. and programmatically via the Kolena Python client.

Machine Learning 134

Machine Learning Machine Learning ML ML 134

Pickl AI

NOVEMBER 4, 2024

Various types of storage options are available, including: Relational Databases: These databases use Structured Query Language (SQL) for data management and are ideal for handling structured data with well-defined relationships. Python Known for its simplicity and versatility, Python is widely used for data manipulation and analysis.

Data Engineering 52

Data Engineering Data Engineering Data Engineering Data Engineer 52

Alation

JANUARY 17, 2023

The rise of cloud computing and cloud data warehousing has catalyzed the growth of the modern data stack. Most importantly, cloud computing has gotten much faster and cheaper, emerging as the core technology driving the development of the modern data stack. How Did the Modern Data Stack Get Started?

Data Warehouse 52

Data Warehouse ETL Tableau Cloud Data 52