PitchMonster
Second Nature AI
Quantified.ai
PrePitch
Verbeloquence.ai
Pitchbase
Cold Call Coach
Yoodli
iPython
Jupyter
PyCharm
Spyder
IDLE
PyScripter
Pyzo
Ecere SDK
"PitchMonster is an AI sales role-play platform that helps revenue teams ramp reps faster, coach at scale, and prove training ROI โ without hiring more trainers or burning real pipeline on unprepared reps.
Reps practice realistic conversations with AI buyers that adapt to objections, push back, and behave like your actual ICP โ across 27+ languages and in phone, face-to-face, and screen-share modes. After every session, an AI Coach runs a Socratic debrief: it doesn't just hand over a score โ it guides each rep to their own insight, 24/7.
Managers can upload real call recordings and score them against the same playbook used in role-plays, surfacing exactly where reps won, lost, or missed. Certification flows ensure reps don't go live until they've hit a defined readiness bar.
Trusted by teams at Coupa, Adobe, Land Rover, Salesforce, Lenovo, and more. 100% enterprise renewal rate since spring 2024. 4.9 โ on G2. GDPR-compliant and the only European-based solution in the top 5. Backed by Google for Startups, Icebreaker, and Startup WiseGuys."
PitchMonster
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PitchMonster's answer
PitchMonster is the only AI sales role-play platform with a built-in AI Coach that debriefs reps after every session - personalized, Socratic, available 24/7. Most tools stop at the practice. We go further: reps get specific feedback on what they said, what they missed, and what to fix before the next call. We're also built for global teams - 29 languages, GDPR-native, EU-hosted, with enterprise-grade reliability.
PitchMonster's answer
Reps don't just practice - they improve. After every session, the AI Coach breaks down the conversation and tells each rep exactly what to work on next. No waiting for manager availability, no generic tips. Just specific, actionable coaching at scale. Combined with realistic AI voices, CRM integrations, and a 100% enterprise renewal rate since spring 2024, it's a platform teams actually stick with.
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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 / 11 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 / over 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
Second Nature AI - Training that is enjoyable.
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.
Quantified.ai - The AI-Driven Flight Simulator for Sellers
PyCharm - Python & Django IDE with intelligent code completion, on-the-fly error checking, quick-fixes, and much more...
PrePitch - PrePitch lets door-to-door reps drill real homeowner objections against an AI until the comeback is automatic, before they ever knock. Try it free.
Spyder - The Scientific Python Development Environment