Achieve your writing goals with these 4 tools. I’ve been writing about data science on Medium for just over two years. Writing, in particular, technical writing can be time-consuming.
I’ve been writing about data science on Medium for just over two years. Writing, in particular, technical writing can be time-consuming. Not only do you need to come up with an idea, write well, edit your articles for accuracy and flow, and proofread them. With technical articles you often also need to produce code to illustrate your explanations, ensure that it is accurate and transfer that code from the tool you used to write it, to your Medium post.
I try to publish once or twice a week. When I first started writing I found that the process could be very time consuming, and it was difficult to maintain this schedule around a full-time day job.
Over time I have found some tools that have hugely sped up the time it takes for me to create and publish an article. Particularly those containing coded examples. The following tools help me to achieve my goal of publishing one to two articles per week around my other life commitments.
This tool was only released in May this year by Ted Petrou but it is a game-changer if you write your code in Jupyter Notebooks. With this Python package, you can publish the entire content of your notebook as a blog post directly into your Medium account.
To use this tool first you need to pip install it into your project environment.
Data Science and Analytics market evolves to adapt to the constantly changing economic and business environments. Our latest survey report suggests that as the overall Data Science and Analytics market evolves to adapt to the constantly changing economic and business environments, data scientists and AI practitioners should be aware of the skills and tools that the broader community is working on. A good grip in these skills will further help data science enthusiasts to get the best jobs that various industries in their data science functions are offering.
Data science is omnipresent to advanced statistical and machine learning methods. For whatever length of time that there is data to analyse, the need to investigate is obvious.
Business Intelligence and Data Science terms become very popular these days: It is undeniable that information is the foundation of any successful company and business entrepreneurs.
The dataset also includes information on time and distance of flights which might also have an effect on delays. These columns can be analyzed with similar methods.
This is because AI and analytics tools are very picky: The data has to be in just the right format, and anything unexpected throws a wrench into the system.