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What you get as a member
----------------------------------------------------------------------------------- 🎯 You will be job-ready to succeed in your career in the wider Energy sector. 🎯 You will be interview-ready to fight for the job you want in the wider Energy sector. 🎯 You will be promotion-ready to pursue the better position in the wider energy sector 🎯 Monday: Subscribers get the weekly Industry report on economic trends in Energy 🎯 Saturday: Subscribers get the weekly Job report for roles in the wider Energy sector 🎯Sunday: Subscribers get the weekly Research report with key points on energy research ----------------------------------------------------------------------------------- 🎯Learn Data Science for Energy , based on a personalized curriculum and with my daily support for your questions. Available to subscribers. 👨‍🏫 About me (Dr Spyros Giannelos) - PhD in Energy, Imperial College London. - 40 research publications, over 1000 citations. View my profile here - Top-rated educator on Udemy. View my profile here - Author on Substack. View my profile here - Creator of the Energy Data Scientist program at: https://www.energydatascientist.com Contact info: - Skool: Send me a personal message or reply to my posts. - Email: [email protected] - LinkedIn
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How do we define the "Energy Data Scientist" ?
The term 'Energy Data Scientist' means more than just a Data Scientist who works in an Energy Company. Given the skills that this Skool community teaches, what jobs does the Energy Data Scientist cover?
Free Publication
A new journal by Elsevier accepts Energy publications. So it is free of charge. If anyone wants to collaborate , maybe we could send a publication there. They are free of charge until 2027. After that, it is 3000 USD from what it says. It says "Transformative Energy: Hydrogen, Fuel Cells, Energy Carriers and Storage is an international, multi-disciplinary journal focused on hydrogen energy engineering and research. It aims to be a leading platform and an authoritative source of information related to clean hydrogen production with low energy consumption, high-density storage, secure transportation, and system-level integration. The journal focuses on green fuels of hydrogen and hydrogen carriers (such as ammonia, alcohols, alkanes etc.) and their applications in future sustainable energy systems. The journal welcomes papers on energy planning and management for hydrogen energy systems (such as fuel cells, water electrolysis, photoelectrochemical water-splitting etc.) along with their components, equipment, and infrastructure. It also publishes research for efficiency enhancement, performance optimization and operation control in hydrogen energy system. Hydrogen energy conversion, storage, and transport processes through experimental, analytical, numerical, and AI-assisted approaches are also within the journal’s scope. Hydrogen safety, policy, and economic assessments are within the context of the broader multi-disciplinary scope of Transformative Energy: Hydrogen, Fuel Cells, Energy Carriers and Storage". Here is the link: https://www.sciencedirect.com/journal/transformative-energy?lid=k9z8uneb0p6r&utm_source=braze&utm_medium=email&utm_campaign=STMJ_281677_CALLP_OANJLPRE&utm_content=3be1e016-162f-48c5-85d2-08d66bd43056&utm_term=3be1e016-162f-48c5-85d2-08d66bd43056_281677_CALLP-OANJLPRE_SCO-INT_NOAB_SINGLE_ALL&DGCID=STMJ_281677_CALLP_OANJLPRE
Oil Option Contracts in Python : New Video
I have uploaded a new video to the Classroom in Course 5.20. This video focuses on Python but also has useful theory on Options. Course 5.20 , as a reminder, is on Option Contracts for Crude oil. We examine how to evaluate Call and Put options on Oil. This is the 5th video for this course. We examine the OilOptionsChain class . We again look at some fundamental concepts of Object Oriented Programming . So it is a good revision for Object Oriented Programming. We speak about what the Options Chain is. Specifically, we create an object called call_chain from the OilOptionsChain class. All contracts of this class are for the same underlying asset (WTI Crude Oil) and expire on the same day. The only difference between them is the Strike Price. By creating this OilOptionsChain object in Python, we are essentially generating this financial "menu" based on the market conditions we defined (volatility , etc). See the attached images about what we are doing in this video.
Oil Option Contracts in Python : New Video
Python code Updates in Online Courses
October 2022, Python 3.11 was released. October 2023, Python 3.12 was released. October 2024, Python 3.13 was released. <--- our online courses have code in 3.13. October 2025, Python 3.14 was released. Python 3.14 is a minor release after 3.13. Ordinary 3.13 code (basic scripts, functions, classes, small projects) is expected to run unchanged on 3.14, because we are not doing very advanced / low-level things (C extensions, fiddling with internals, etc.). The course code is written for Python 3.13, but it also runs on Python 3.14. For a few months we will not update the existing code. Maybe towards the summer I may re-evaluate.
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