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iPython
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Affiliate marketing and mobile attribution platform built to manage, attribute, and scale performance marketing across web and mobile.
Trusted by 1,000+ companies since 2017, Affise offers two core products:
Affise Performance โ Built for affiliate networks to track, optimize, and scale with confidence, offering advanced crossโdevice attribution, fully customizable postbacks, realโtime analytics, and builtโin fraud prevention.
Affise Mobile Attribution (MMP) โ Full-funnel tracking for installs, in-app events, re-engagements, and uninstalls across iOS and Android. Supports SKAN, Facebook attribution, and raw data exports.
Affise also empowers media buying teams with a centralized dashboard for smart cost tracking, bulk editing, and granular performance insights.
By unifying attribution, automation, and analytics, Affise gives marketers full control over their performance ecosystemโdriving growth, optimizing spend, and scaling with confidence.
Affise
iPythonBusinesses and marketers who require advanced tracking, reporting, and customization abilities in their affiliate marketing campaigns will benefit most from Affise. The platform is particularly well-suited for medium to large enterprises and agencies looking to effectively manage a high volume of affiliate partnerships and campaigns.
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The book introduces the core libraries essential for working with data in Python: particularly IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and related packages Familiarity with Python as a language is assumed; if you need a quick introduction to the language itself, see the free companion project, Aโฆ. - Source: dev.to / 10 months ago
As alluded to in Poetry2Nix Development Flake with Matplotlib GTK Support, Iโm currently in the process of getting my โnewโ python workflow up to speed. My second problem, after dependency and environment management, was that fancy REPLs like ipython or ptpython donโt jazz well with the standard comint based inferior python repl that comes with python-mode. One can basically only run ipython with the... - Source: dev.to / about 2 years ago
Third, if possible use a command line interpreter to test things out. I recommend ipython for this purpose. You can use your browser's developer console this way if you are learning Javascript. Source: over 3 years ago
IJulia is an interactive notebook environment powered by the Julia programming language. Its backend is integrated with that of the Jupyter environment. The interface is web-based, similar to the iPython notebook. It is open-source and cross-platform. - Source: dev.to / over 3 years ago
Also, take a look at installing iPthon to give you a much richer shell environment. This underpins Jupyter Notebooks, so is well known, proven and trusted. Source: over 3 years ago
Optmyzr - Optmyzr AdWords Tools. Optimization Solutions, Quality Score Tracker, Landing Page Checker, and more. Free Trial Available.
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.
LiveIntent - LiveIntent is a web platform that offers effective e-mail advertising services for marketers and publishers.
PyCharm - Python & Django IDE with intelligent code completion, on-the-fly error checking, quick-fixes, and much more...
Adobe Primetime - Adobe Primetime is a multiscreen TV platform that helps broadcasters create and monetize viewing experiences.
Spyder - The Scientific Python Development Environment