Your lab web pages should load faster.

Your lab tools should start faster.

You can now see announcements about upcoming maintenance.

You should again be able to sign into Labs with your LinkedIn profile.

We fixed a common cause of 502 errors.

Your Lab should now start faster.

You can now do optical character recognition with Tesseract.

You can now create with with ipywidgets.

You should now be able to download your JupyterLab notebooks again.

You can now delete your Labs account.

You can now do media capture with JupyterLab.

We will shortly remove My Blockchain from Labs to streamline our infrastructure.

We will shortly remove OpenRefine from Labs to streamline our infrastructure.

Your Zeppelin should now start more reliably.

We will shortly remove Seahorse from Labs to streamline our infrastructure.

Launching your first lab is now much faster.

You can now work with Watson Machine Learning CLI.

You can now work with Db2 database through ibmDbR, r-jdbc, and r-odbc.

You now have spellcheck.

You now have JupyterLab tutorials.

You now have GitHub integration.

You now have Cognos Dashboard Embedded.

You now have OpenCV.

You now have scikit-learn.

You now have imageio.

You now have SystemML.

You now have TorchVision 0.2.1.

You now have Anaconda 5.2.0.

You now have PyTorch 0.4.1.

You now have the latest R 3.5.1.

You now have the latest RStudio 1.1.456.

You now have the latest Spark 2.3.1.

You now have the leaflet package.

You now have opencv 3.4.1 so you can work with graphics.

You now have watson-developer-cloud 1.4.1.

You now have Cognos Dashboard Embedded.

JupyterLab for IBM PowerAI

You now have TensorFlow 1.8.0.

You can now export to PDF.

You now have keras 2.1.5.

You now have an R kernel with Spark.

You can now work with ipython-sql and ibm-db-sa.

You now have a Scala kernel with Spark.

You now have boto3 and ibm-cos-sdk for file uploads.

You now have GitHub integration.

You now have tutorials to help you get started with JupyterLab.

IBM PowerAI Vision

Your now have the latest JupyterLab 0.32.1.

Added a spellchecker.

You now have the latest Spark 2.3.

You now have a friendlier and faster starting lab experience.

My Blockchain based on Hyperledger Compose 0.18.2.

You now have the latest JupyterLab 0.31.12.

You now have graphviz and pydotplus Conda packages preloaded.

You can now use pandas 0.22.0.

You now have Zeppelin 0.7.3 with all the latest packages.

You now have the latest R Studio IDE with Spark 2.2.

You can now use Labs with Safari and IE.

You now have a streamlined login and signup experience.

JupyterLab

Jupyter for IBM PowerAI

Jupyter Notebook is now based on Ubuntu 16.04.

You now have Python 3.6.2 as your Python 3 kernel for Jupyter

You now can use Tensorflow 1.2 with your Python notebooks.

Fixed a bug where packages for Python 3 using Numpy would not import.

You now have the latest version of matplotlib (2.0.2) in Python 2.

You can now publish your markdown files to RPubs.

Fixed a bug where jupyter would not start if users had too much data.

Fixed a bug where PySpark kernel would keep dying.

Fixed a bug where users updating their tool would lose the notebook they were trying to view.

You can now use Tensorflow 1.0

Jupyter's Scala interpreter has now been updated to Apache Toree

Jupyter now supports rcviz

My Data now starts instantly

Version control is now enabled in RStudio

You can now use SystemT as a tool in Data Scientist Workbench

You can now check service Status / Disruptions / Outages

KB - learn how to access Apache Spark service on Bluemix (https://support.labs.cognitiveclass.ai/knowledgebase/articles/935319-accessing-spark-service-on-bluemix)

You can now register and login with your Weibo ID

Learn to connect to dashDB using ibmdbR in R Jupyter

IPython for Jupyter is upgraded to v5.0

You can now submit Spark jobs to Spark as a Service on Bluemix

ibmdbR pre-installed in R Studio IDE for in-database analytics in IBM databases

It is now easier to reset your password

ibmdbR pre-installed to allow connections from Jupyter R notebooks to IBM databases. Click here to see how!

You can now use dplyr in R to work with dataframes in Jupyter

You can now use OpenCV 2.4 for computer vision in Python 2 with Jupyter

You can now use matplotlib 1.5.1 for visualization in Jupyter with Python 2

You can now use matplotlib 1.5.1 for visualization in Jupyter with Python 3

You can now use dplyr in R to work with dataframes in R Studio IDE

You now have the latest Jupyter 4.2.1

You can now use MathJax 2.6.1 to work with LaTeX, MathML, and AsciiMath in Jupyter

You can now use Brunel 1.2 for visualization

You can now export markdown documents in pdf from RStudio IDE

You no longer need to sign in to support.labs.cognitiveclass.ai. You will be signed in automatically.

You can now register and login with your Cognitive Class id

You can now browse Data Scientist Workbench in Traditional Chinese (繁體中文) !

SystemML has been updated to 0.10.0

You can now use !pip to install Python 3 packages in Jupyter

Your Python packages are now preserved after an update!

You can now use all the same packages like basemap, ibm-db, matplotlib, mysqlclient, nltk, psycopg2, scikit-learn, and scipy with Python 3

RStudio IDE updated to v0.99.902

You can now register and login with your Facebook id

You can now register and login with your Github id

You can now register and login with your Google id

You can now register and login with your LinkedIn id

Content in welcome page of Jupyter Notebook is translated to Chinese

I can now use the Geospatial Data Abstraction Library (rgdal)

You can now parse JSON super-fast with ijson and yaql

You can now use the latest TensorFlow (0.8)

I can now use the Geospatial Data Abstraction Library (rgdal)

You can now visually compose Spark applications with Seahorse

You can now read popular Data Science blogs on http://blogs.mydatascience.org/

You can now login with your e-mail address or username

You can now work with big, complex notebooks in Jupyter super-fast!

You can now set your country in your profile

It now takes two minutes to update your workbench!!

We now have a profile page!

You can now browse the Data Scientist Workbench in Chinese, Russian, Portuguese, Spanish, Japanese, and Pirate! Yarr!

You can now register for a workbench in China

https://my.DataScientistWorkbench.cn - DSWB in now in China!

More prominent Support/Feedback button

Prepare and clean your data using semantic analysis (sparkling) in Python

Sparkling.Data package is available in Scala notebook

Updated pip to version 8.1.0

Python3 is now available (BETA)

Learn to use sparkling.data to clean, prepare, and wrangle data

You can use scikit-learn in Python notebooks

Graphviz package is available

My Data file manager - click on "My Data" to explore

Four new sample data sets available in My Data

Welcome page easier to navigate

Clean, prepare, and wrangle data in a Jupyter Python notebook using the sparkling.data package

Learn to access MySQL from Jupyter with Scala

Open Jupyter notebooks by simply clicking on the link that someone shared with you

ibmdbPy pre-installed to allow connections from Python notebooks to IBM databases

Sparkling.Data library is available in a Zeppelin Scala notebook

Learn to access PostgreSQL from Jupyter with R

Learn TensorFlow with Python

ggplot2.SparkR package is now available

ggplot2.SparkR package is now available for plotting huge data sets

Wikipedia click data is now available in the DSWB Spark Sandbox

Learn to work with Hadoop data using SQL from Jupyter Python, R, Scala

Learn to access relational databases (MySQL) from Jupyter with Python

Learn to access relational databases (MySQL) from Jupyter with R

Learn to access relational databases (Postgres) from Jupyter with Python

Learn to access relational databases (dashDB) from Jupyter with R

Learn to access relational databases (dashDB) from Jupyter with Python

Learn to access relational databases (dashDB) from Jupyter with Scala

RMySQL is now available to connect to MySQL database from Jupyter with R

RPostgreSQL is now available to connect to PostgreSQL from Jupyter with R

TensorFlow is updated to 0.6.0 from Jupyter with Python

cURL R package is now available from Jupyter with R

cURL is available to help download files

cURL R package is available to help download files in R

IbmdbPy pre-installed to allow full exploitation of in-database analytics in IBM dashDB and DB2

Submit Jupyter Python notebook to Spark Cluster for execution

ggmap package available in R Studio IDE

mapproj package available in R Studio IDE

Sample data sets preloaded in my data folder

Data Scientist Workbench now has a shared Spark Cluster sandbox

Learn to access relational databases from Jupyter with R, Python, and Scala

psycopg2 package is available for connecting to PostgreSQL

MySQLdb package is now available in Python Notebooks

RJDBC now pre-installed in R notebooks

Official MySQL connector package is now available in Python Notebooks

New introductory tutorial for Scala

matplotlib basemap library now available for Python

Learn how to access R Shiny

New and improved experience on Data Scientist Workbench

Learn to run parallelized R jobs in Hadoop (Big R) from R Jupyter notebook

Learn to work with Hadoop data using SQL from Jupyter Python, R, Scala

rstan now available in R Studio IDE

I can access Big SQL data from an R Jupyter notebook

I can access Big SQL data from a Scala Jupyter notebook

New and improved tutorial for Python

When you see an error, we prompt you to open a ticket

You can now submit R jobs to a Hadoop cluster (Big R)

Learn how to work with Hadoop data using SQL in your Jupyter notebook

Tutorials can now be run independently of each other. You can skip directly to the tutorial you want.

Parse CSV files using spark-csv in Scala

Learn how to use Python on Zeppelin with our new "Zeppelin Tutorial for Python" note

You can now resume your hibernated workbench at the click of a button!

Workbench Top Menu Bar now navigates to all my tools!

You can now update your workbench at the click of a button!

R - Update Spark to v1.6.0

Python - Update Spark to v1.6.0

Scala - Update Spark to v1.5.2

Enable Zeppelin Notebooks

Upgrade R to v3.2.3

RStudio: Shiny package

Add Changelog! That's ME!