Advantages of Python Learning | Why Python
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This document provides an overview of the Python programming language. It discusses what Python is, how it compares to other languages like Java and C++, common uses of Python, job opportunities in Python, and the future of Python. It also advertises training in Python offered by Evolet Technologies, which aims to teach students to use Python professionally and gain expertise through hands-on learning and practice problems.
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In this talk, I’ll share my experience implementing and using a tool like Temporal.io. We'll explore the evolution of our system for maintaining real-time report generation and discuss how we use Temporal both for short-lived pipelines and long-running background tasks.
Salesforce Summer '25 Release Frenchgathering.pptx.pdf
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You are not excused! How to avoid security blind spots on the way to production
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Cracking the Code - Unveiling Synergies Between Open Source Security and AI.pdf
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Connecting Data and Intelligence: The Role of FME in Machine Learning
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Quantum AI Discoveries: Fractal Patterns Consciousness and Cyclical Universes
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The Future of Product Management in AI ERA.pdf
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Since then I have worked for major corporations like T-Mobile and Microsoft and many more, and I have founded a startup. I've also been teaching product management to ensure my students save time and money to get to the same level as me faster avoiding popular mistakes. Today as I’ve transitioned to teaching and focusing on the startup, I hear everybody being concerned about Ai stealing their jobs… We’ll talk about it shortly.
But before that, I want to take you back to 1997. One of my favorite movies is “Fifth Element”. It wowed me with futuristic predictions when I was a kid and I’m impressed by the number of these predictions that have already come true. Self-driving cars, video calls and smart TV, personalized ads and identity scanning. Sci-fi movies and books gave us many ideas and some are being implemented as we speak. But we often get ahead of ourselves:
Flying cars,Colonized planets, Human-like AI: not yet, Time travel, Mind-machine neural interfaces for everyone: Only in experimental stages (e.g. Neuralink).
Cyberpunk dystopias: Some vibes (neon signs + inequality + surveillance), but not total dystopia (thankfully).
On the bright side, we predict that the working hours should drop as Ai becomes our helper and there shouldn’t be a need to work 8 hours/day. Nobody knows for sure but we can require that from legislation. Instead of waiting to see what the government and billionaires come up with, I say we should design our own future.
So, we as humans, when we don’t know something - fear takes over. The same thing happened during the industrial revolution. In the Industrial Era, machines didn’t steal jobs—they transformed them but people were scared about their jobs. The AI era is making similar changes except it feels like robots will take the center stage instead of a human. First off, even when it comes to the hottest space in the military - drones, Ai does a fraction of work. AI algorithms enable real-time decision-making, obstacle avoidance, and mission optimization making drones far more autonomous and capable than traditional remote-controlled aircraft. Key technologies include computer vision for object detection, GPS-enhanced navigation, and neural networks for learning and adaptation. But guess what? There are only 2 companies right now that utilize Ai in drones to make autonomous decisions - Skydio and DJI.
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Phil draws on more than two decades of experience leading search and AI initiatives for enterprise organizations. Together, he and Seth explore the challenges businesses face when legacy architectures limit personalization, agility, and real-time decisioning - and what needs to change to support agentic technologies and next-best-action capabilities.
Key themes from the webinar include:
Composability as a prerequisite for AI - Why modular, loosely coupled systems are essential for adapting to rapid innovation and evolving business needs
Search and relevance as foundational to AI - How techniques honed-in enterprise search have laid the groundwork for more responsive and intelligent customer experiences
From MDM and CDP to agentic systems - How data platforms are evolving to support richer customer context and dynamic orchestration
Engineering for business alignment - Why successful AI programs require architectural decisions grounded in measurable outcomes
The conversation is practical and forward-looking, connecting deep technical understanding with real-world business needs. Whether you’re modernizing your commerce stack or exploring how AI can enhance product discovery, personalization, or customer journeys, this session provides a clear-eyed view of the capabilities, constraints, and priorities that matter most.
From Manual to Auto Searching- FME in the Driver's Seat
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“MPU+: A Transformative Solution for Next-Gen AI at the Edge,” a Presentation...
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In addition, it integrates ultra-low-power object and motion detection capabilities to enable always-on computer vision. A programmable neural processor provides flexibility to efficiently implement new neural networks. And additional specialized engines facilitate image stabilization and audio enhancements.
AI vs Human Writing: Can You Tell the Difference?
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You are not excused! How to avoid security blind spots on the way to production
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“MPU+: A Transformative Solution for Next-Gen AI at the Edge,” a Presentation...
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Advantages of Python Learning | Why Python
- 1. PYTHON Programmers Yearning To Homestead Our Noosphere. - Sean McGrath 1
- 2. Agenda ● What is Python ? ● Comparison ○ Python VS Java ○ Python VS C++ ● When Python ? ● Who all are using Python ? ● Job opportunities in Python ○ Job opportunities in Python - Number of Python Jobs ○ Job opportunities in Python - Types of Python Jobs ● Future of Python ● Training @ Evolet Technologies 2
- 3. What is Python ● Created in the late 1980s ● Found by ‘Guido Van Rossum’ ● Named after ‘Monty Python’ a writer ● General purpose programming language ● High level programming language ● Object oriented ● Interpreted language ● Used by thousands of people ● Very closely resembles the English language ● Has hundreds of existing third-party libraries. 3
- 4. Comparison 4
- 5. ● Python programs are generally expected to run slower than Java programs, but they also take much less time to develop. ● Python programs are typically 3-5 times shorter than equivalent Java programs. This difference can be attributed to Python's built-in high- level data types and its dynamic typing. ● Python is much better suited as a "glue" language, while Java is better characterized as a low-level implementation language. ● Components can be developed in Java and combined to form VS 5
- 6. VS ● Almost everything said for Java also applies for C++, just more so: where Python code is typically 3-5 times shorter than equivalent Java code, it is often 5-10 times shorter than equivalent C++ code ● Anecdotal evidence suggests that one Python programmer can finish in two months what two C++ programmers can't complete in a year. ● Python shines as a glue language, used to combine components written in C++. 6
- 7. 7
- 9. When Python ? ● To build a web app ● To automate small task on the system ● To find the most common colors in an image ● Basically, when there is a need to code something and the language doesn’t matter, use Python. 9
- 10. Who all are using Python ? 10
- 11. Who all are using Python ? 11
- 12. Job opportunities in Python 12
- 13. Job opportunities in Python - Number of Python Jobs 13
- 14. Job opportunities in Python - Types of python jobs 14
- 17. Training @ 17
- 18. ● Learn to use Python professionally ● Learn advanced Python features ● Learn to use Object Oriented Programming ● Understand complex topics ● Build a complete understanding of Python from the ground up! ● We not only focuses on fundamentals of Python, but also helps one gain expertise in Python ● The training is a step by step guide to with an extensive hands on ● The course is packed with several activity problems, assignments and scenarios that help you gain practical experience ● You’ll learn how to build, deploy and scale programs in Python, with training that covers everything from the fundamentals to deep-dive development Training @ 18
- 19. 19 V Hamsa Bhavani Technical Consultant and Trainer Evolet Technologies