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For Writers

Find the answer to any question, from the basics all the way to advanced tips and tricks!

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For Readers

Want to learn more about setting our notebooks? Look no further!


For Readers

An author, who is an expert in data science, can create a publication. Each publication has a unique name. An author can only create "one" publication. Under this unique publication the author can create as many notebooks as he wants and as often as he wants (daily, bi-weekly or weekly).
Yes, basically you can access the notebooks of the different publications. But you can't download the notebook or dataset from that publication without a subscripcion. With a subscription, you can download all notebooks and datasets from any publication.
Yes. You can access all notebooks of all publications, including the datasets.
A subscription to download all the notebooks and datasets from our platform
It is a monthly or annual subscription. In the annual plan you'll have 2 months for free!
All notebooks have a quality measured by the subject matter, expressiveness and narrative, as well as by the code it contains, which allows high reproducibility in your own development environment. Here you can see a sample of an excellent notebook.
The content's quality, frequency, format in which it is found (the notebook), the level it expresses (usually mid-level and advanced-level), the exclusivity of the content and the replicability in its own development environment, makes a subscription to a publication so valuable.
The authors are experts in data science, machine learning, deep learning, data engineering and other related areas, with years of proven experience and great writing skills. You'll always find valuable notebooks.
Yes. Each notebook is written in a narrative and explanatory way, trying not to leave loose ends, clarifying concepts, and doing reading so practical, replicable, entertaining and easy to follow
Yes, once you subscribe to the service you can download the notebooks that you want.
Each author writes and upload notebooks to the platform with different frequency. This depends on each publication. When it comes to PRO notebooks, the minimum frequency is 1 PRO notebook per week. Some even daily.
Our authors are experts in data science, machine learning, deep learning, data engineering and other related areas. These are the main topics
Depending on the publication you can find notebooks in non-English languages such as Hindi, Spanish, French, Mandarin, German, Arabic, Russian and many more.
Yes. With the subscription to the publication you can leave a rating, helping to improve the author, or simply to congratulate them! This will also help new readers.

For Writers

You, as a data science expert, can create a publication. Each publication has a unique name. An author can only create "one" publication. The author of a publication can create as many notebooks as he wants and as often as he wants (daily, bi-weekly or weekly).
Yes, but only if they have an active subscription. If the reader has an active subscription he/she will be able to download all the current notebooks and datasets from the platform and new notebooks as they are published.
Yes, the reader will be able to access all notebooks and datasets hosted in the platform.
Each month we add up the value of all the subscriptions paid by readers and divide them among all the writers in the proportions in which their datasets are downloaded. The more downloads from your notebooks, the more you earn!
High quality content is required for all Notebooks, mainly content written in a narrative way, with understandable and self-explanatory code, related to data science and mostly highly technical content. This is a great example of how notebooks should be built:
Yes, we review the content that is published on the platform, always ensuring the fulfillment of high standards of quality and narrative.
Generally speaking, highly technical notebooks are requested on topics for all levels, with images, narrative and explanatory text of the code's intention. It is highly advisable to provide links to datasets and resources of interest within the notebook. This is a great example of how notebooks should be built:
Data Science, Data Analysis, Machine Learning, Deep Learning and Data Engineering are the central topics of our audience.
Unlike other sites such as Towards Data Science or other data science-related blogs, NarrativeText.co aims to make it easy to create content in a format familiar to data scientists: through notebooks. This also allows for greater understanding and replicability of the code by readers. Last but not least, the possibility of having recurring paid subscribers to your exclusive content.
Subscribers who pay for a monthly or annual subscription expect frequent content creation. The minimum recommended for a publication is to have at least one notebook per week. The higher the frequency, the more engagement and value for the reader, the less churn and the higher LTV (Long Time Value) for you as an author.
Soon we will have an automated process, for now every month we close books and send the corresponding money to each author, regardless of the country of residence. The transfer cost is assumed by the author.
At the publication level you can only create one, and within it you can have as many notebooks as you want. Each publication has a unique name, a logo, and a description that allows you (and allow readers) to identify it from the others.
Within your publication, you can create as many notebooks as you want. The most important thing is the consistency and quality of them.
Yes, in the dashboard of the site, you can see at any moment the number of visits that your notebooks have, the subscribers, and the number of downloads. You will also be able to see the comments of the notebooks that readers make and the reviews that subscribers leave.
Yes, you'll be only allowed to create content related to data science.
If you have a non-English speaking audience you can also create notebooks (title, subtitle and content) in any of the following languages: Hindi, Spanish, French, Mandarin, German, Arabic, Russian and many more.
We are constantly creating new audiences, with our own marketing efforts. However, this is a win-win situation, so if you have your own email list, social networks or audience, it is a good idea that you can provide yourself by sharing links from your notebooks. Remember that you can make money from your publication!

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