Data Science 101

MARCH 13, 2020

Elements of Data Science by Allen Downey is a freely available textbook. It consists of Jupyter Notebooks on Google Colab, so you can view and edit code if you want. This could be a great way to begin your data science and programming journey.

Data Science 140

Data Science IT 140

KDnuggets

MAY 9, 2022

Turn your dull Jupyter notebooks into interactive web apps by adding a YAML header and sharing it with your friends and colleagues. You can also use Mercury to create your data science portfolio, which consists of a resume and projects.

Data Science 108

Data Science Interactive IT 108

Analytics Vidhya

APRIL 27, 2022

This article was published as a part of the Data Science Blogathon. Introduction on Jupyter Notebook Jupyter notebook is an important data science tool. It is used by many data science professionals to do exploratory data analysis and also to prototype machine learning models.

Data Science 271

Data Science Machine Learning Publishing Modeling 271

Analytics Vidhya

MAY 20, 2022

This session will be conducted by Martin Henze who is a Data Scientist at YiptiData and is a Kaggle Grandmaster. He will conduct an enriching session on how to create effective Data Science Notebooks and Communication. The post The DataHour: Create Effective DS Notebooks and Communication appeared first on Analytics Vidhya.

Data Science 283

Data Science Analytics 283

Analytics Vidhya

OCTOBER 11, 2023

Introduction When we hear data science, the first thing that comes to mind is building a model on notebooks and training the data. But this is not the situation in real-world data science. In the real world, data scientists build models and put them into production.

Data Science 329

Data Science Modeling Analytics Machine Learning 329

Analytics Vidhya

APRIL 15, 2020

Overview Jupyter notebooks are a great tool for data scientists but we can make them even better using these hacks, tips, and tricks We. The post 10 Productive Jupyter Notebook Hacks, Tips and Tricks! appeared first on Analytics Vidhya.

Analytics 385

Analytics Interactive Data Science 385

Analytics Vidhya

MAY 22, 2022

This article was published as a part of the Data Science Blogathon. techies, I am sure this article will help you understand how to use Azure Databricks notebook to perform data-related operations in it. The post Introduction to Azure Databricks Notebook appeared first on Analytics Vidhya. Let’s go!

Data Science 377

Data Science Publishing Analytics IT 377

Analytics Vidhya

APRIL 1, 2022

This article was published as a part of the Data Science Blogathon. Introduction Jupyter Notebook is a web-based interactive computing platform that many data scientists use for data wrangling, data visualization, and prototyping of their Machine Learning models. appeared first on Analytics Vidhya.

Machine Learning 361

Machine Learning Visualization Interactive Data Science 361

O'Reilly on Data

AUGUST 27, 2018

David Schaaf explains how data science and data engineering can work together to deliver results to decision makers. Continue reading Jupyter notebooks and the intersection of data science and data engineering.

Data Science 102

Data Science 102

Analytics Vidhya

MAY 10, 2022

This article was published as a part of the Data Science Blogathon. Introduction on Jupyter Notebook Configuration Let’s You have a job crunching trillions of image data points to extract insights, and you don’t have sufficient storage or processing power to do it, so what will you do – Stop in the Middle or Get […].

Data Science 315

Data Science Publishing Analytics IT 315

Analytics Vidhya

OCTOBER 10, 2022

This article was published as a part of the Data Science Blogathon. Introduction With the advancement of technology and data, job opportunities are increasing rapidly. Nowadays, everyone is more interested in implementing practical knowledge than notebook theories.

Data Science 392

Data Science Publishing Technology Analytics 392

Analytics Vidhya

MARCH 30, 2023

Introduction A command line is a valuable tool for productivity in daily Data Science activities. As Data Scientists, we are adept at using Jupyter Notebooks and RStudio to obtain, scrub, explore, model, and interpret data (OSEMN process).

Machine Learning 314

Machine Learning Data Science Modeling Analytics 314

Analytics Vidhya

MAY 18, 2023

Google Colaboratory, also known as Google Colab, is a popular web-based platform for coding and data analysis. It is widely used by data scientists, researchers, and developers around the world. Now, Google is […] The post Google Adds AI Coding Bot Codey to Google Colaboratory appeared first on Analytics Vidhya.

Analytics 296

Analytics IT 296

Analytics Vidhya

FEBRUARY 11, 2022

This article was published as a part of the Data Science Blogathon. […]. The post 11 Extensions to Power Up your Jupyter Notebook appeared first on Analytics Vidhya.

Data Science 315

Data Science Publishing Analytics 315

AWS Big Data

APRIL 24, 2024

You can now use EMR Serverless applications as the compute, in addition to Amazon EMR on EC2 clusters and Amazon EMR on EKS virtual clusters, to run JupyterLab notebooks from EMR Studio Workspaces. Choose Attach to attach the serverless application as the compute type for all the notebooks in this Workspace. Choose Save to Workspace.

Interactive 95

Interactive Visualization Big Data Management 95

KDnuggets

JUNE 5, 2023

Unlock the full potential of Jupyter Notebook with expert tips and techniques, including time-saving shortcuts, powerful magic functions, and advanced features, to boost your productivity.

Data Science 105

Data Science 105

Data Science 101

MARCH 13, 2020

Elements of Data Science by Allen Downey is a freely available textbook. It consists of Jupyter Notebooks on Google Colab, so you can view and edit code if you want. This could be a great way to begin your data science and programming journey.

Data Science 52

Data Science IT 52

Analytics Vidhya

AUGUST 28, 2021

This article was published as a part of the Data Science Blogathon We are using Jupyter notebook to run our code. We suggest following this tutorial on Google Colaboratory. You can check out this link for more info about its usage. To follow through this tutorial prior knowledge of PyTorch and python programming is assumed.

Data Science 371

Data Science Publishing Analytics IT 371

AWS Big Data

MAY 2, 2024

In today’s data-driven landscape, the efficiency and accessibility of querying tools play a crucial role in driving businesses forward. This innovation not only unlocks new possibilities, but also tackles long-standing challenges in data analytics and query handling.

Visualization 89

Visualization Data Warehouse Data-driven Management 89

Analytics Vidhya

JUNE 24, 2020

Overview JupyterLab is a brilliant coding environment to perform data science tasks These 10 reasons will convince to switch to JupyterLab from Jupyter Notebooks. The post 10 Compelling Reasons you Should Use JupyterLab for Data Science Coding appeared first on Analytics Vidhya.

Data Science 400

Data Science Analytics 400

Analytics Vidhya

JUNE 2, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Jupyter — An open-source, interactive tool known as a computational notebook, The post JupyterLab 3.0 : Jupyter’s Next-Gen Notebook Interface appeared first on Analytics Vidhya.

Data Science 233

Data Science Interactive Publishing Analytics 233

Analytics Vidhya

NOVEMBER 1, 2021

This article was published as a part of the Data Science Blogathon. Image 1- [link] Whether you are an experienced or an aspiring data scientist, you must have worked on machine learning model development comprising of data cleaning, wrangling, comparing different ML models, training the models on Python Notebooks like Jupyter.

Machine Learning 306

Machine Learning Modeling Data Science Publishing 306

Analytics Vidhya

MAY 24, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction Python is one of the most popular and frequently used. The post How to Interact with Operating System using Python and Jupyter Notebook appeared first on Analytics Vidhya.

Interactive 284

Interactive Data Science Publishing Analytics 284

Analytics Vidhya

FEBRUARY 2, 2021

ArticleVideos “When, a few years ago, I started to study Data Science systematically, I could use all this previous experience”- Gabriel Preda The above. The post Kaggle Grandmaster Series – Exclusive Interview with Kaggle Notebooks Grandmaster Gabriel Preda (#Rank 10) appeared first on Analytics Vidhya.

Data Science 284

Data Science Analytics 284

AWS Big Data

JANUARY 24, 2024

AWS-powered data lakes, supported by the unmatched availability of Amazon Simple Storage Service (Amazon S3), can handle the scale, agility, and flexibility required to combine different data and analytics approaches.

Snapshot 96

Snapshot Data Lake Metadata Optimization 96

Analytics Vidhya

MAY 20, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction Colaboratory, or “Colab” for short, are Jupyter Notebooks hosted by. The post 10 Colab Tips and Hacks for Efficient use of it appeared first on Analytics Vidhya.

IT 236

IT Data Processing Data Science Publishing 236

Analytics Vidhya

DECEMBER 4, 2020

“Bad examples can often be just as educational as good ones”- Martin Henze In data science, every. The post Kaggle Grandmaster Series – Notebooks Grandmaster and Rank #12 Martin Henze’s Mind Blowing Journey! Welcome back to the Kaggle Grandmaster Series! appeared first on Analytics Vidhya.

Data Science 260

Data Science Analytics 260

Jen Stirrup

FEBRUARY 3, 2020

The Data Lifecycle: Decision making with data in Power BI. Data can be viewed as having a product lifecycle, where it can be collected, analysed, visualized, utilized and then monetized. In this session, attendees will walk through the journey of perceiving their data in a different way. Here are the abstracts.

Business Intelligence 49

Business Intelligence Data Processing Visualization Strategy 49

AWS Big Data

OCTOBER 3, 2023

A data lake is a centralized repository that you can use to store all your structured and unstructured data at any scale. You can store your data as-is, without having to first structure the data and then run different types of analytics for better business insights. Analytics use cases on data lakes are always evolving.

Data Lake 98

Data Lake Metadata Snapshot Recreation/Entertainment 98

Analytics Vidhya

JUNE 18, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon 1. INTRODUCTION Data visualization is one of the important aspects of. The post Embed PowerBI report in Jupyter Notebook using “powerbiclient” appeared first on Analytics Vidhya.

Reporting 203

Reporting Visualization Data Science Publishing 203

AWS Big Data

JANUARY 17, 2024

This allows you to simplify security and governance over transactional data lakes by providing access controls at table-, column-, and row-level permissions with your Apache Spark jobs. Many large enterprise companies seek to use their transactional data lake to gain insights and improve decision-making.

Data Lake 89

Data Lake Snapshot Big Data Data-driven 89

AWS Big Data

JANUARY 26, 2023

AWS Glue is a serverless, scalable data integration service that makes it easier to discover, prepare, move, and integrate data from multiple sources. AWS Glue provides an extensible architecture that enables users with different data processing use cases.

Data Lake 107

Data Lake Big Data Software Interactive 107

KDnuggets

NOVEMBER 18, 2022

Anaconda is incredibly excited to announce the release of a brand-new suite of products on the Anaconda Nucleus platform: Anaconda Notebooks and Anaconda Learning.

Data Processing 78

Data Processing Data Science 78

Dataiku

DECEMBER 7, 2023

Full disclosure: As a citizen data scientist, I’ve never formally trained as a software developer or professional data engineer. Luckily for me, Dataiku provides AI Code Assistants in Jupyter Notebooks and VS Code to help address the time-consuming tasks I run into when building out data pipelines in code.

Data Science 81

Data Science Machine Learning Software 81

AWS Big Data

MAY 4, 2023

Welcome to the era of data. The sheer volume of data captured daily continues to grow, calling for platforms and solutions to evolve. The Amazon Sustainability Data Initiative (ASDI) uses the capabilities of Amazon S3 to provide a no-cost solution for you to store and share climate science workloads across the globe.

Data Processing 90

Data Processing Metadata Informatics Interactive 90

Analytics Vidhya

APRIL 30, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon. The post How to Download Kaggle Datasets using Jupyter Notebook appeared first on Analytics Vidhya. What is Kaggle? Kaggle is a vast online community of professionals.

Data Science 175

Data Science Publishing Analytics 175

AWS Big Data

SEPTEMBER 18, 2023

This integration reduces the overall time spent in writing data integration and extract, transform, and load (ETL) logic. AWS Glue Studio notebooks allows you to author data integration jobs with a web-based serverless notebook interface. Create an AWS Glue Studio notebook Let’s get started.

Data Integration 92

Data Integration Big Data Interactive Software 92