August 3, 2021 Data

S2, A next generation data science toolbox

We have created a language that is faster than python in every way, works with the entire Java ecosystem (such as the Spring framework, Eclipse and many more) and can be deployed into embedded devices seamlessly, allowing you to collect and process data from pretty much any device you want even without internet. Our language comes built-in with mathematical libraries necessary for any data scientist, from basic math like Linear Algebra and Statistics to Digital Signal Processing and Time […]

September 25, 2020 Arduino

Plotly Beta: Graphing and Analytics Platform

Hey Data Scientists, I wanted to reach out about Plot.ly, a new startup for analyzing and beautifully visualizing data. We just launched a beta. It is built for math, science, and data applications. We’d love your thoughts. Overview: You can import data from anywhere, and analyze it in our grid with stats, fits, functions, and more. Our plotting APIs (R, Python, MATLAB, Arduino, REST, Julia, Perl) and grid make interactive, web-ready, publication-quality graphs. We have a Python Shell, and interactive graphs […]

September 25, 2020 Charts

New in Plotly: Interactive Graphs with IPython

New! Plotly lets you style interactive graphs in IPython. Then, you can share your Notebook or your Plotly graph. It’s like having the NYTimes graphics department inside your IPython. You can also get these Notebooks on the Plotly GitHub page. Visit Plot.ly to see more documentation. Here’s a preview of how it looks to have your code, data, and graph all interactively available. See the live version. To finish reading, please visit source site

September 25, 2020 Python

Data Science In The Cloud With DataJoy

DataJoy is an unbelievably fantastic way for a working data scientist to have their favorite tools at hand. I am a minimalist when it comes to being mobile, whether working on the road, traveling for leisure, and sometimes both. I do not like to keep files on my laptop and I do not, for the most part, like to worry about keeping updated applications on my laptop. I have tried as much as possible to push my life into the […]

September 25, 2020 Analytics

Machine Learning – Anomaly Detection: “Finding a Needle in a Haystack”

After exploring formulation, classification, benchmarking, we explore another facet of Machine Learning: anomaly detection. This part is key in the IoT transformation, as it enables internet-connected AI devices to alert, adapt and respond accordingly. Once properly trained, an IoT could not only warn and prevent imminent failure, but also execute a response, adaptive to the anomaly detected. In this process, we’ll explore intrinsic hurdles that makes the anomaly detection process a non-trivial task of “finding a needle in haystack”. Opportunities abound to explore, and any univariate sequential […]

September 25, 2020 Python

R, Python or SAS: Which one should you learn first?

Python, R and SAS are the three most popular languages in data science. If you are new to the world of data science and aren’t experienced in either of these languages, it makes sense to be unsure of whether to learn R, SAS or Python. Don’t fret, by the time you’re done reading this article, you will know without a doubt which language is the right one for you. Overview R – R is the lingua franca of statistics. It is a […]

September 25, 2020 Data

Learn Python for Data Science from Scratch

Python is a multipurpose programming language and widely used for Data Science, which is termed as the sexiest job of this century. Data Scientist mine thru the large dataset to gain insight and make meaningful data driven decisions. Python is used as general purposed programming language and used for Web Development, Networking, Scientific computing etc. We will be discussing further about the series of awesome libraries in python such as numpy, scipy & pandas for data manipulation & wrangling and […]

September 25, 2020 Analytics

Career Transition Towards Data Science: Planning a Learning Sabbatical

At the time of writing this post, I am nine months into my learning sabbatical. You can read about my journey here: “Career Transition Towards Data Analytics & Science”. Today I will share with you how you can plan your own, unique learning sabbatical, regardless of its scope and duration – anywhere between 1 and 12 months. Let’s get started. Begin with the end in mind If you have ever read Stephen Covey’s “7 Habits of Highly Effective People” you […]

September 25, 2020 Analytics

Why Excel Users Should Learn Python

Latest update: November 16, 2018 Microsoft Excel has been around for over 30 years now, and chances are it’s not going to change in the foreseeable future. In fact, Excel is facing immense competition from challengers such as Google Spreadsheets and well-funded start-ups like Airtable, which are both going after Excel’s massive user base of approximately 500 million worldwide. Tech-savvy small and mid-sized businesses embrace innovative alternatives to Excel. However, making a dent in the large enterprise space is a […]

September 25, 2020 Analytics

Should Python Become Your Official Corporate Language, Along With English?

English is becoming the official language in the global business world, being currently spoken by approximately 1.75 billion people worldwide according to Harvard Business Review. While English is the fastest spreading language in human history, a significant proportion of businesses are still resistant to giving up on their native language. Just try having a casual conversation in English with German employees at their corporate headquarters canteen (I am German, just for the record). However, pressures are piling up, not only […]

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