Pandas
NumPy
Scikit-learn
OpenCV
Dataiku
Exploratory
htm.java
WEKA
Mixpanel
Google Analytics
Adobe Analytics
Matomo
Heap
Plausible.io
Amplitude
Fathom Analytics
mixpanel.comSoftware by Mixpanel
Pandas MixpanelPandas is particularly recommended for data scientists, analysts, and engineers who need to perform data cleaning, transformation, and analysis as part of their work. It is also suitable for academics and researchers dealing with data in various formats and needing powerful tools for their data-driven research.
Mixpanel is recommended for product teams, marketers, and data analysts within tech companies who need to delve deeply into user behavior. It is particularly useful for startups and mid-sized businesses in the SaaS, e-commerce, and mobile app industries that aim to optimize their products and improve user retention through comprehensive analytics.
I recommend Mixpanel to anyone who needs to do tracking of user behavior in web applications in order to measure against goals.
Based on our record, Pandas should be more popular than Mixpanel. It has been mentiond 219 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.
Libraries for data science and deep learning that are always changing. - Source: dev.to / 29 days ago
# Read the content of nda.txt Try: Import os, types Import pandas as pd From botocore.client import Config Import ibm_boto3 Def __iter__(self): return 0 # @hidden_cell # The following code accesses a file in your IBM Cloud Object Storage. It includes your credentials. # You might want to remove those credentials before you share the notebook. Cos_client = ibm_boto3.client(service_name='s3', ... - Source: dev.to / about 1 month ago
As with any web scraping or data processing project, I had to write a fair amount of code to clean this up and shape it into a format I needed for further analysis. I used a combination of Pandas and regular expressions to clean it up (full code here). - Source: dev.to / about 2 months ago
Python’s Growth in Data Work and AI: Python continues to lead because of its easy-to-read style and the huge number of libraries available for tasks from data work to artificial intelligence. Tools like TensorFlow and PyTorch make it a must-have. Whether you’re experienced or just starting, Python’s clear style makes it a good choice for diving into machine learning. Actionable Tip: If you’re new to Python,... - Source: dev.to / 4 months ago
This tutorial provides a concise and foundational guide to exploring a dataset, specifically the Sample SuperStore dataset. This dataset, which appears to originate from a fictional e-commerce or online marketplace company's annual sales data, serves as an excellent example for learning and how to work with real-world data. The dataset includes a variety of data types, which demonstrate the full range of... - Source: dev.to / 9 months ago
Mixpanel/Amplitude: Event-based analytics platforms configurable for API usage tracking. - Source: dev.to / about 2 months ago
To collect these metrics effectively, you'll need specialized tools like Google Analytics, Mixpanel, Segment, or Amplitude. - Source: dev.to / about 2 months ago
Mixpanel is a product analytics tool that provides product managers with real-time insights into user behavior, helping them make more informed decisions with instant access to their data. It enables detailed event tracking, such as button clicks and page views, across both web and mobile applications. It offers a centralized platform that consolidates product analytics metrics such as data views, event tracking,... - Source: dev.to / 2 months ago
Even with thorough preparation, the holiday traffic can bring unexpected challenges. To stay ahead, set up dashboards and alert systems using tools like Grafana, Datadog, or New Relic to monitor platform performance, track errors, and detect anomalies. Additionally, leverage analytics tools such as Google Analytics or Mixpanel to identify drop-off points and optimize the customer journey. - Source: dev.to / 5 months ago
I assume you already have a NextJS project setup. Also, create a new Mixpanel account from here (If you haven’t already). - Source: dev.to / 6 months ago
NumPy - NumPy is the fundamental package for scientific computing with Python
Google Analytics - Improve your website to increase conversions, improve the user experience, and make more money using Google Analytics. Measure, understand and quantify engagement on your site with customized and in-depth reports.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
Adobe Analytics - Adobe Analytics is an industry-leading solution that empowers you to understand your customers as people and steer your business with customer intelligence.
OpenCV - OpenCV is the world's biggest computer vision library
Matomo - Matomo is an open-source web analytics platform