Software Alternatives, Accelerators & Startups

Marketing Examples VS Jupyter

Compare Marketing Examples VS Jupyter and see what are their differences

Marketing Examples logo Marketing Examples

A gallery of real world marketing case studies. Updated every day.

Jupyter logo Jupyter

Project Jupyter exists to develop open-source software, open-standards, and services for interactive computing across dozens of programming languages. Ready to get started? Try it in your browser Install the Notebook.
  • Marketing Examples Landing page
    Landing page //
    2022-04-30

Well, I think the majority of marketing writing is quite un-actionable. You read it, and it might sound good, but when you get out in the real world you really have no idea how actually implement it.

So the goal of Marketing Examples is to get as close to the "real world" as possible. The site is a collection of marketing tactics used by successful startups and the idea is that you can copy the techniques step-by-step.

  • Jupyter Landing page
    Landing page //
    2023-06-22

Marketing Examples videos

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Jupyter videos

What is Jupyter Notebook?

More videos:

  • Tutorial - Jupyter Notebook Tutorial: Introduction, Setup, and Walkthrough
  • Review - JupyterLab: The Next Generation Jupyter Web Interface

Category Popularity

0-100% (relative to Marketing Examples and Jupyter)
Marketing
100 100%
0% 0
Data Science And Machine Learning
Digital Marketing
100 100%
0% 0
Data Dashboard
0 0%
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Marketing Examples and Jupyter

Marketing Examples Reviews

  1. great site

    super concise!

    🏁 Competitors: Starter Story
    👍 Pros:    Mobile responsive
  2. finest marketing examples in the land

    Admittedly, I'm the founder, but I pour a lot into these examples and people say they're great, so I feel confident giving myself a 5*

    🏁 Competitors: SaaSHub
    👍 Pros:    Simple|Short|Sharp

Jupyter Reviews

Jupyter Notebook & 10 Alternatives: Data Notebook Review [2023]
Once you install nteract, you can open your notebook without having to launch the Jupyter Notebook or visit the Jupyter Lab. The nteract environment is similar to Jupyter Notebook but with more control and the possibility of extension via libraries like Papermill (notebook parameterization), Scrapbook (saving your notebook’s data and photos), and Bookstore (versioning).
Source: lakefs.io
7 best Colab alternatives in 2023
JupyterLab is the next-generation user interface for Project Jupyter. Like Colab, it's an interactive development environment for working with notebooks, code, and data. However, JupyterLab offers more flexibility as it can be self-hosted, enabling users to use their own hardware resources. It also supports extensions for integrating other services, making it a highly...
Source: deepnote.com
12 Best Jupyter Notebook Alternatives [2023] – Features, pros & cons, pricing
Jupyter Notebook is a widely popular tool for data scientists to work on data science projects. This article reviews the top 12 alternatives to Jupyter Notebook that offer additional features and capabilities.
Source: noteable.io
15 data science tools to consider using in 2021
Jupyter Notebook's roots are in the programming language Python -- it originally was part of the IPython interactive toolkit open source project before being split off in 2014. The loose combination of Julia, Python and R gave Jupyter its name; along with supporting those three languages, Jupyter has modular kernels for dozens of others.
Top 4 Python and Data Science IDEs for 2021 and Beyond
Yep — it’s the most popular IDE among data scientists. Jupyter Notebooks made interactivity a thing, and Jupyter Lab took the user experience to the next level. It’s a minimalistic IDE that does the essentials out of the box and provides options and hacks for more advanced use.

Social recommendations and mentions

Based on our record, Jupyter should be more popular than Marketing Examples. It has been mentiond 206 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Marketing Examples mentions (37)

  • 400+ Websites That I Use as a Web Designer/Freelancer - All Compiled and Categorized in One Place
    Marketing Examples One of the best marketing blogs out there imo (One of my Favorites). Source: 11 months ago
  • So how exactly am I supposed to have enough fresh content to post daily on my socials?
    Have a look here or here and see if there are any examples you can turn into your own content. Source: about 1 year ago
  • Lessons learned from 5 years of indie hacking
    If you are trying to bootstrap, try microconf talks on youtube.[1] Good signal/noise ratio. I still find good informative talks. If you find a speaker on microconf interesting, follow their talks on other channels. Newsletters I find useful: https://marketingexamples.com/ - copywriting examples. - Source: Hacker News / over 1 year ago
  • YouTube channel recommendations for Shopify?
    If you're looking for general marketing strategies (copywriting, SEO, social media) that you can apply to your store regardless of the platform you're using, I really like Harry Dry's Marketing Examples. I'm mentioning this one because he does have a YouTube channel, but the main value is definitely from his written articles and newsletter. If anyone can recommend a YouTube equivalent who regularly uploads, I'd be... Source: over 1 year ago
  • What are the steps to make landing page for a client?
    Hi! For inspo I like to go this website https://www.replo.app/library/pages , for the estructure and copy, this website could be useful https://marketingexamples.com/. The most important is to have your buyer in mind, and the point of the customer journey where he/she it is. I mean, is your prospect aware of his problem? Is aware of the solution? You have here an example of how to write a landing page for... Source: over 1 year ago
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Jupyter mentions (206)

  • Interactive Visualizations of Rate-Limiting Algorithms
    Interesting, I would have guessed you had used something jupyter-like: https://jupyter.org/ https://explorabl.es/all/. - Source: Hacker News / about 1 month ago
  • scrape-yahoo-finance
    JupyterLab: JupyterLab is an interactive development environment that allows you to create and share documents containing live code, equations, visualizations, and narrative text. It's particularly well-suited for data science and research-oriented projects. - Source: dev.to / about 2 months ago
  • Let’s build AI-tools with the help of AI and Typescript!
    Jupyter Lab web-based interactive development environment. - Source: dev.to / 2 months ago
  • Scrape Redfin Property Data
    Choosing IDE: Selecting a suitable Integrated Development Environment (IDE) is crucial for efficient coding. Consider popular options such as PyCharm, Visual Studio Code, or Jupyter Notebook. Install your preferred IDE and ensure it's configured to work with Python. - Source: dev.to / 2 months ago
  • Groovy 🎷 Cheat Sheet - 01 Say "Hello" from Groovy
    Jupyter Notebooks is very popular among data people specially Python users. So, I tried to find a way to run the Groovy kernel inside a Jupyter Notebook, and to my surprise, I found a way, BeakerX! - Source: dev.to / 4 months ago
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What are some alternatives?

When comparing Marketing Examples and Jupyter, you can also consider the following products

Good Sales Emails - Best sales emails from great companies

Looker - Looker makes it easy for analysts to create and curate custom data experiences—so everyone in the business can explore the data that matters to them, in the context that makes it truly meaningful.

Good Email Copy - Email copy from great companies.

Databricks - Databricks provides a Unified Analytics Platform that accelerates innovation by unifying data science, engineering and business.‎What is Apache Spark?

Really Good Emails - A large collection of good product email design.

Google BigQuery - A fully managed data warehouse for large-scale data analytics.