Data Science 101

MAY 6, 2019

He asks, “How important is SQL in comparison to Python in 2019?”. That’s an interesting question because I think people love putting SQL on this mega pedestal as like a core thing that all data scientists have to use. However, you have to know SQL. So, the question is: what’s important in 2019?

Data Wrangling 98

Data Wrangling Data Scientist SQL Data Science 98

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

Smart Data Collective

OCTOBER 14, 2019

In September 2019, Google decided to make it’s Differential Privacy Library available as an open-source tool. Users only need to include the respective path in the SQL query to get to work. It allows secure and interactive SQL analytics at the petabyte scale. Plotly Python Open Source Graphing Library.

Data Science 93

Data Science SQL Big Data Big Data 93

ODSC - Open Data Science

FEBRUARY 17, 2023

BERT is still very popular over the past few years and even though the last update from Google was in late 2019 it is still widely deployed. NLP Programming Languages It shouldn’t be a surprise that Python has a strong lead as a programming language of choice for NLP. Knowing some SQL is also essential.

Deep Learning 111

Deep Learning Deep Learning Data Science Natural Language Processing 111

IBM Journey to AI blog

JANUARY 10, 2023

This data will be analyzed using Netezza SQL and Python code to determine if the flight delays for the first half of 2022 have increased over flight delays compared to earlier periods of time within the current data (January 2019 – December 2021). Figure 5 – Bar graph of current flight delay data (2019 – June 2022).

Data Warehouse 52

Data Warehouse Data Analysis Data Analysis SQL 52

AWS Machine Learning Blog

NOVEMBER 27, 2023

According to a 2019 survey by Deloitte , only 18% of businesses reported being able to take advantage of unstructured data. You can create a custom transform using Pandas, PySpark, Python user-defined functions, and SQL PySpark. Choose Python (PySpark) for this use-case. And select Python (PySpark).

Data Preparation 109

Data Preparation AI AI Python 109

AWS Machine Learning Blog

SEPTEMBER 19, 2023

Engineers must manually write custom data preprocessing and aggregation logic in Python or Spark for each use case. For this post, we refer to the following notebook , which demonstrates how to get started with Feature Processor using the SageMaker Python SDK. 50195| 1686627154| | 6| Acura TLX A-Spec| 2023| New| NA|50195.00|50195|

ML 125

ML ML AWS SQL 125

phData

JANUARY 31, 2024

Python has long been the favorite programming language of data scientists. Historically, Python was only supported via a connector, so making predictions on our energy data using an algorithm created in Python would require moving data out of our Snowflake environment.

Machine Learning 52

Machine Learning Machine Learning Python Data Scientist 52

Dataconomy

SEPTEMBER 27, 2024

This experience has led to my first real IT job ― an internship at Renault in 2019. It helped me to become familiar with popular tools such as Excel and SQL and to develop my analytical thinking. This experience helped me to improve my Python skills and get more practical experience working with big data.

Analytics 113

Analytics Analytics Big Data Big Data 113

Flipboard

JUNE 11, 2023

And in 2019, a software flaw was discovered in an insulin pump that could allow hackers to remotely control it and deliver incorrect insulin doses to patients. A software bug in the trading system of the Nasdaq stock exchange caused it to halt trading for several hours in 2013, at an economic cost that is impossible to calculate.

AI 177

AI AI SQL Python 177

Flipboard

APRIL 13, 2023

To give a sense for the change in scale, the largest pre-trained model in 2019 was 330M parameters. Today, we’re excited to announce the general availability of Amazon CodeWhisperer for Python, Java, JavaScript, TypeScript, and C#—plus ten new languages, including Go, Kotlin, Rust, PHP, and SQL.

AWS 182

AWS AI AI ML 182

ODSC - Open Data Science

SEPTEMBER 29, 2023

A 2019 survey by McKinsey on global data transformation revealed that 30 percent of total time spent by enterprise IT teams was spent on non-value-added tasks related to poor data quality and availability. It’s not a widely known programming language like Java, Python, or SQL. Tell me more about ECL.

Data Lakes 52

Data Lakes Clustering Big Data Big Data 52

The MLOps Blog

AUGUST 3, 2023

What we’re targeting first is helping you replace that procedural Python code with Hamilton code that you describe, which I can go into detail a little bit more. You could almost think of Hamilton as DBT for Python functions. It gives a very opinionary way of writing Python. Piotr: This is procedural Python code.

ML 52

ML ML Data Scientist Machine Learning 52

ODSC - Open Data Science

MARCH 10, 2025

Tools like Python , R , and SQL were mainstays, with sessions centered around data wrangling, business intelligence, and the growing role of data scientists in decision-making. The Deep Learning Boom (20182019) Between 2018 and 2019, deep learning dominated the conference landscape.

Data Science 52

Data Science Deep Learning Deep Learning Machine Learning 52

AWS Machine Learning Blog

OCTOBER 11, 2024

data # Assing local directory path to a python variable local_data_path = "./data/" data/" # Assign S3 bucket name to a python variable. This was created in Step-2 above. This bucket will be used as source for vector databases and uploading source files.

Database 106

Database AWS Clustering AI 106

The MLOps Blog

MARCH 20, 2025

For example, GPT-3 was trained on a web crawl dataset that included data collected up to 2019. A memory could also be implemented as a database with the LLM generating SQL queries to retrieve the desired contextual information. A simple example is a Python function that converts temperature values from Fahrenheit to degrees Celsius.

Azure 59

Azure Python Database Algorithm 59