Software Alternatives, Accelerators & Startups

NumPy VS Mailshake

Compare NumPy VS Mailshake and see what are their differences

NumPy logo NumPy

NumPy is the fundamental package for scientific computing with Python

Mailshake logo Mailshake

Mailshake lets you build your professional network through a smart and intuitive approach to cold emailing.
  • NumPy Landing page
    Landing page //
    2023-05-13
  • Mailshake Landing page
    Landing page //
    2023-02-09

NumPy videos

Learn NUMPY in 5 minutes - BEST Python Library!

More videos:

  • Review - Python for Data Analysis by Wes McKinney: Review | Learn python, numpy, pandas and jupyter notebooks
  • Review - Effective Computation in Physics: Review | Learn python, numpy, regular expressions, install python

Mailshake videos

Mailshake Review and Tutorial: l: How To Massively Speed Up Your Outreach Process

More videos:

  • Review - Mailshake Review - Is This Outreach Tool Any Good? (~1 year use)
  • Tutorial - Mailshake Review - How to set up cold email campaign (step-by-step)

Category Popularity

0-100% (relative to NumPy and Mailshake)
Data Science And Machine Learning
Email Marketing
0 0%
100% 100
Data Science Tools
100 100%
0% 0
Sales
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 NumPy and Mailshake

NumPy Reviews

25 Python Frameworks to Master
SciPy provides a collection of algorithms and functions built on top of the NumPy. It helps to perform common scientific and engineering tasks such as optimization, signal processing, integration, linear algebra, and more.
Source: kinsta.com
Top 8 Image-Processing Python Libraries Used in Machine Learning
Scipy is used for mathematical and scientific computations but can also perform multi-dimensional image processing using the submodule scipy.ndimage. It provides functions to operate on n-dimensional Numpy arrays and at the end of the day images are just that.
Source: neptune.ai
Top Python Libraries For Image Processing In 2021
Numpy It is an open-source python library that is used for numerical analysis. It contains a matrix and multi-dimensional arrays as data structures. But NumPy can also use for image processing tasks such as image cropping, manipulating pixels, and masking of pixel values.
4 open source alternatives to MATLAB
NumPy is the main package for scientific computing with Python (as its name suggests). It can process N-dimensional arrays, complex matrix transforms, linear algebra, Fourier transforms, and can act as a gateway for C and C++ integration. It's been used in the world of game and film visual effect development, and is the fundamental data-array structure for the SciPy Stack,...
Source: opensource.com

Mailshake Reviews

The 24 Best Email Marketing Tools
A sales-focused online tool that integrates email with phone calls and social media. Mailshake enables sales reps to send personalized, high-volume cold email; engage with prospects via phone and social media; and set up automated outreach sequences (just make sure you have clean data and the ability to quickly take recipients out of the sequence if needed). Unlike standard...
Source: webbiquity.com
The Best Email Marketing, Sales Prospecting, and Email Automation Software
Mailshake integrates with Gmail and other Google apps to help reach more people. The software creates customized emails that appear like a normal email from a Gmail address. It allows for mail automation thanks to its various templates that give one the capability of creating email campaigns that are effective.

Social recommendations and mentions

Based on our record, NumPy seems to be a lot more popular than Mailshake. While we know about 112 links to NumPy, we've tracked only 5 mentions of Mailshake. 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.

NumPy mentions (112)

  • Essential Deep Learning Checklist: Best Practices Unveiled
    How to Accomplish: Develop a script that iterates over the image database, preprocesses each image according to the model's requirements (e.g., resizing, normalization), and feeds them into the model for prediction. Ensure the script can handle large datasets efficiently by implementing batch processing. Use libraries like NumPy or Pandas for data management and TensorFlow or PyTorch for model inference. Include... - Source: dev.to / 3 days ago
  • Documenting my pin collection with Segment Anything: Part 3
    NumPy: This library is fundamental for handling arrays and matrices, such as for operations that involve image data. NumPy is used to manipulate image data and perform calculations for image transformations and mask operations. - Source: dev.to / 3 days ago
  • Awesome List
    NumPy - The fundamental package for scientific computing with Python. NumPy Documentation - Official documentation. - Source: dev.to / 9 days ago
  • NumPy for Beginners: A Basic Guide to Get You Started
    This guide covers the basics of NumPy, and there's much more to explore. Visit numpy.org for more information and examples. - Source: dev.to / 11 days ago
  • 2 Minutes to JupyterLab Notebook on Docker Desktop
    Below is an example of a code cell. We'll visualize some simple data using two popular packages in Python. We'll use NumPy to create some random data, and Matplotlib to visualize it. - Source: dev.to / 9 months ago
View more

Mailshake mentions (5)

  • Complete Cold Emailing Guide - eCommerce Version
    When it comes to selecting a client for sending your emails, there are countless options to choose from. We're not affiliated with any specific one, but we've found QuickMail to be effective for maximizing deliverability. While the user interface could be improved, it gets the job done and we haven't found a compelling reason to switch. Other popular alternatives include Instantly, Lemlist, MailShake, and many... Source: over 1 year ago
  • Where to find cool react native jobs
    Create an account on mailshake.com > create a simple automated email funnel of 2 emails, one that sends 7 days after the first one. Source: almost 2 years ago
  • cold b2b emails
    Lemlist to send emails or Mailshake as another good option. I prefer Lemlist as IMO has a better UI and includes warming-up service. Source: about 2 years ago
  • 30 interviews at companies like Microsoft and Stripe in 1 month. Here's how.
    Do outreach and follow ups at scale. If you do this right and follow up well, your reply rates sky rocket. For my own job search, I used an email automation tool from Hunter but Mailshake and other tools work too. Source: over 2 years ago
  • My 'under 700ms' SaaS - How I plan to automate the entire process, from finding leads to the sale itself - broken down for you to replicate 😄
    For this, I'm currently using MailShake: https://mailshake.com/. Source: over 2 years ago

What are some alternatives?

When comparing NumPy and Mailshake, you can also consider the following products

Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.

lemlist - Send emails that get replies 💌

Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.

MailChimp - MailChimp is the best way to design, send, and share email newsletters.

OpenCV - OpenCV is the world's biggest computer vision library

Campaign Monitor - Email marketing software built for designers and their clients to run successful email campaigns.