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This Edureka tutorial on "Python Tutorial for Beginners" (Python Blog Series: https://goo.gl/nKQJHQ) covers all the basics of Python. It includes python programming examples, so try it yourself and mention in the comments section if you have any doubts. Following are the topics included in this video:
00:00 Agenda
01:01 Introduction to Python
05:49 Reasons to choose Python
07:12 Installing and running Python
08:35 Development Environments
09:05 Compiling v/s interpreting
09:48 Basics of Python Programming
09:55 Expressions
10:59 Math Commands
12:05 Variables
13:00 Basic Datatypes
14:22 Whitespaces
15:07 Comments
15:52 Assignment
17:10 Naming rules & conventions
21:22 Starting with code
25:10 Python Operators
30:52 Python Lists
38:27 Python Tuples
42:44 Python Sets
48:31 Python Dictionaries
54:45 Conditional Statements
59:46 Looping in Python
01:10:38 Python Functions
01:14:42 Python Arrays
01:17:20 Classes and Objects (OOP)
01:17:20 Conclusion

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How it Works?
1. This is a 5 Week Instructor-led Online Course,40 hours of assignment and 20 hours of project work
2. We have a 24x7 One-on-One LIVE Technical Support to help you with any problems you might face or any clarifications you may require during the course.
3. At the end of the training, you will be working on a real-time project for which we will provide you a Grade and a Verifiable Certificate!

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About the Course

Edureka’s Machine Learning Course using Python is designed to make you grab the concepts of Machine Learning. The Machine Learning training will provide a deep understanding of Machine Learning and its mechanism. As a Data Scientist, you will be learning the importance of Machine Learning and its implementation in Python programming language. Furthermore, you will be taught Reinforcement Learning which in turn is an important aspect of Artificial Intelligence. You will be able to automate real-life scenarios using Machine Learning Algorithms. Towards the end of the course, we will be discussing various practical use cases of Machine Learning in Python programming language to enhance your learning experience.

After completing this Machine Learning Certification Training using Python, you should be able to:
Gain insight into the 'Roles' played by a Machine Learning Engineer
Automate data analysis using python
Describe Machine Learning
Work with real-time data
Learn tools and techniques for predictive modeling
Discuss Machine Learning algorithms and their implementation
Validate Machine Learning algorithms
Explain Time Series and it’s related concepts
Gain expertise to handle business in future, living the present

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Why learn Machine Learning with Python?

Data Science is a set of techniques that enable computers to learn the desired behavior from data without explicitly being programmed. It employs techniques and theories drawn from many fields within the broad areas of mathematics, statistics, information science, and computer science. This course exposes you to different classes of machine learning algorithms like supervised, unsupervised and reinforcement algorithms. This course imparts you the necessary skills like data pre-processing, dimensional reduction, model evaluation and also exposes you to different machine learning algorithms like regression, clustering, decision trees, random forest, Naive Bayes and Q-Learning.

For more information, Please write back to us at [email protected] or call us at IND: 9606058406 / US: 18338555775 (toll free).

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Gain the skills to demystify data and strengthen your data analytics skills through this program, delivered through live sessions by industry experts, hands-on labs, and live masterclasses from distinguished IIT Kanpur faculty. Learn key concepts and hone your ability to apply analytics.

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✅ About Professional Certificate Course In Data Analytics
This Data Analytics certificate course is designed to prepare you to be data-driven while solving daily organizational problems and help create effective and dynamic business strategies. This program comes with a carefully curated curriculum, hands-on labs, and industry-relevant projects designed to advance your career trajectory.

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- Data Analytics
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Humanity's LAST Invention - Artificial General Intelligence (AGI)

Artificial General Intelligence has the whole world divided over it. While some are in support of the smart software technology having human cognition abilities, others fear that the outcome it might have on our world may be bad for the world. Will AGI become an essential invention for a better future or the final nail in the coffin of the world? Let’s find out in today’s video.

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Welcome to a captivating journey into the future! In this video, we'll explore the Top 10 Future Technologies that are poised to revolutionize the way we live, work, and interact with the world. From groundbreaking advancements in artificial intelligence to mind-boggling innovations in biotechnology, join us as we unveil the cutting-edge technologies that will shape the next era of human progress. Fasten your seatbelts as we embark on a thrilling exploration of the tech wonders that await us in the not-so-distant future.

00:00 Top 10 Future Technologies For 2024
Edge Computing
Quantum Computing
Artificial Intelligence in Cybersecurity
Blockchain Beyond Cryptocurrency
5G Networks and IoT
Augmented Reality (AR) for Business
Cybersecurity for AI and IoT
Robotic Process Automation (RPA)
Cybersecurity for Quantum Computing
Artificial General Intelligence (AGI)

✅ Subscribe to our Channel to learn more about the top Technologies: https://bit.ly/2VT4WtH

#Top10FutureTechnologies2024 #FutureTechnology #TopFutureTechnologies #Simplilearn #TrendingTechnology2022 #EdgeComputing #QuantumComputing
#ArtificialIntelligenceinCybersecurity #Blockchain #Cryptocurrency #5G #IoT #AugmentedReality #AR #Cybersecurity #RoboticProcessAutomation #RPA #CybersecurityforQuantumComputing #ArtificialGeneralIntelligence #AGI #2024 #Simplilearn

▶️ Watch Trending Videos 2024: https://youtube.com/playlist?list=PLEiEAq2VkUUIDAxCy4_VU5H_vvscim_D-&si=8Ec_O0tP8iNUi90q

- Artificial Intelligence in Cybersecurity
In 2024, AI defenses will combat sophisticated cyber threats in real time, safeguarding data and privacy. Beyond detecting known threats, machine learning adapts to new dangers, analyzing vast datasets for patterns and anomalies.

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Blockchain evolves beyond cryptocurrencies in 2024. It secures supply chains, authenticates digital identities, and transforms transactions. Its transparency disrupts industries, ensuring traceable supply chains and secure service access.
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AR transforms industries in 2024. Picture engineers visualizing machinery and surgeons enhancing precision with AR. It blurs physical-digital lines, offering step-by-step instructions in manufacturing and 3D anatomy models for precise surgeries in healthcare.

- Cybersecurity for AI and IoT
2024 brings focused cybersecurity for AI and IoT integration. Solutions will safeguard against AI algorithm vulnerabilities and protect IoT ecosystems from potential cyber threats.
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Bronze to Robotic Process Automation (RPA), the 2024 IT game-changer. It automates tasks, letting employees focus on creative work. RPA bots handle data entry to customer service, boosting efficiency across industries.

- Cybersecurity for Quantum Computing
At 2, cybersecurity adapts to quantum threats in 2024. Quantum-safe encryption and protocols emerge to safeguard data in the quantum computing era, countering the risk posed by traditional encryption vulnerabilities.

- Artificial General Intelligence (AGI)
2024's game-changer is Artificial General Intelligence (AGI). Revolutionizing industries from healthcare to finance, AGI automates complex decision-making, representing a monumental leap beyond specialized AI. Integration into various sectors, from healthcare diagnostics to financial analysis, is on the horizon.
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Поддержать проект можно по ссылкам:
Если вы в России: https://boosty.to/vertdider
Если вы не в России: https://www.patreon.com/VertDider

Дерек Маллер с канала Veritasium снова пристаёт к людям со странными вопросами, в этот раз по астрономии. Мы уверены, что вы с такими вопросами легко бы справились, но ролик всё равно посмотрите — обновить знания всегда полезно.

Перевод: Елена Смотрова
Редактура: Алексей Малов
Научная редактура: Кирилл Циберкин
Озвучка: Дмитрий Чепусов, Алексей Никитин, Лиза Чабан
Монтаж звука: Андрей Фокин
Монтаж видео: Джон Исмаилов
Обложка: Андрей Гавриков

Спасибо за поддержку на https://www.patreon.com/VertDider и https://boosty.to/vertdider

Озвучки Vert Dider выходят с вашей помощью:

Pavel Dunaev, Mikhail Stolpovskiy, Sergey Zhukov, Katoto Chan, Все будет хорошо, Anatoly Zapadinsky, Anton Bolotov, Pavel Parpura, Мikhail Samin, Vitaliy Vachynyuk, opperatius, Eugene Tsaplin, Oleg Zingilevskiy, Mykola Korniichuk, Kirill Zaslavskii, Victor Cazacov, Valeriy Dubrava, Aleksei Shabalin, Ihar Marozau, Irina Shakhverdova, Victoria Kleban, VEG, Morock_D, mifon bejenari, Vladimir Sharich, Leonid Steinberg, Maxim Korotkov, Alex Kulakov, Alexander Goida, Anna Ostrovskaya, Dmitry Chechulin, Lexx, Nikrodol, Rashn, Виктор Харламов, Постный Оладий, Alexander Kulikov, Alien, Artem Piskarev, Artem Sobolenkov, Being of Whiteout, Cyril Anonimov, Kirill Markov, Maxim Titov, SodayaSodochka, Timophey Popov, andruche, asdadasa, darthmorf s, dv0, pervprog, Арс Ник, Артем Сиваченко, Глеб Кочергин, Дмитрий Казанов, Кожаный Гусь, Никита Омельницкий, Тимур Абдуллин, Тот самый Виктор.

#vertdider #veritasium

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Разрешение на публикацию: https://bit.ly/2SFhrHZ
© https://www.youtube.com/@veritasium
Источник: https://www.youtube.com/watch?v=fG8SwAFQFuU

Поддержать проект можно по ссылкам:
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В чём проблема научных сенсаций?

«Учёные открыли сверхпроводник комнатной температуры», «учёные создали червоточину на квантовом компьютере» и много других подобных новостей мы регулярно читаем в СМИ. И тут же попадаем в анекдот про нюанс, потому что научный результат есть, но он или преувеличен, или искажён. Так в чём всё-таки проблема? Может быть, в журналистах, которые гонятся за сенсациями? Или в том, как в принципе работает современная наука? В этом видео Дерек Маллер общается с учёными и пытается понять, как можно исправить ситуацию с новостями науки.

Перевод: Егор Афонин
Редактура: Алексей Малов
Научная редактура: Макар Светлый
Озвучка: Дмитрий Чепусов, Алексей Никитин, Лиза Чабан, Владимир Курдов, Михаил Глушковский
Монтаж звука: Андрей Фокин
Монтаж видео: Юрий Хомяков
Обложка: Андрей Гавриков

Спасибо за поддержку на https://www.patreon.com/VertDider и https://boosty.to/vertdider

Озвучки Vert Dider выходят с вашей помощью:

Pavel Dunaev, Mikhail Stolpovskiy, Sergey Zhukov, Amir, Все будет хорошо, Vitaliy Vachynyuk, Anatoly Zapadinsky, Oleg Zingilevskiy, Mykola Korniichuk, opperatius, Eugene Tsaplin, Pavel Parpura, Anton Bolotov, Katoto Chan, Мikhail Samin, Ihar Marozau, Irina Shakhverdova, Aleksei Shabalin, Valeriy Dubrava, Kirill Zaslavskii, Victor Cazacov, Timur Sattarov, VEG, Victoria Kleban, Morock_D, Alexander Goida, Vladimir Sharich, Maxim Korotkov, Leonid Steinberg, Alex Kulakov, Anna Ostrovskaya, Rashn, Nikrodol, Lexx, Dmitry Chechulin, Rincewind, Шурик Самара, Виктор Харламов, Alexander Lebedev, Sonra44, Timophey Popov, Арс Ник, asdadasa, MaximML , dv0, александра меньшикова, Тимур Абдуллин, Artem Piskarev, Глеб Кочергин, Иван Новиков, Никита Омельницкий, Artem Sobolenkov, Alien, Artem Sobolenkov, Rekvet, pervprog, Илья Зверев, Кожаный Гусь, Никита Омельницкий, Cyril Anonimov, Timur Rahmatulin, Дмитрий Казанов, Being of Whiteout, Александр Денисов, Timur Rahmatulin, Артем Сиваченко, Никита Омельницкий, Тот самый Виктор, Alexander Kulikov, Адам Шифф, Василий , Никита Омельницкий, Никита Цикалин.

#vertdider #veritasium

Сайт студии: http://vertdider.tv

Мы в социальных сетях:
— https://vk.com/studio_vd
— https://t.me/vertdider
— https://twitter.com/Vert_Dider

Разрешение на публикацию: https://bit.ly/2SFhrHZ
© https://www.youtube.com/@veritasium
Источник: https://www.youtube.com/watch?v=czjisEGe5Cw

Бозон Хиггса просто прекрасен, однако большая часть вашей массы от него не зависит. Механизм Хиггса объясняет наличие массы у всех вещей, не так ли? На самом деле нет, он применим только для элементарных частиц: электроны получают всю свою массу благодаря взаимодействию Хиггса, однако протоны и нейтроны, состоящие из кварков, — нет.

На самом деле масса кварков настолько мала, что она составляет всего лишь один процент массы протона и нейтрона. Вся остальная масса обусловлена энергией глюоного поля. Глюоны не имеют массы, однако в их поле столько энергии, что, из-за того, что Е=мс2, в этом поле находится значительное количество массы. Именно это объясняет наличие массы у вас и фактически у всего вокруг.

Перевод: Варя Феофанова
Редактура: Алексей Малов
Озвучка: Виктор Сандаков, Дмитрий Чепусов
Монтаж: Александр Штанг, Юрий Хомяков
Обложка: Мирана Эрнестовна

Сайт студии: http://vertdider.com

Мы в социальных сетях:
— http://vk.com/studio_vd
— https://t.me/vertdider
— https://twitter.com/Vert_Dider
— http://coub.com/vertdider

Источник: https://youtu.be/Ztc6QPNUqls
Разрешение на публикацию: https://goo.gl/6n4dT7
© https://www.youtube.com/user/1veritasium

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🔥 Microsoft Power BI Certification Training: PwC Academy: https://www.edureka.co/power-b....i-certification-trai

This video on *Power BI Desktop* covers everything you need to know, from its evolution to practical applications. We'll dive into the history of Power BI, explaining what Power BI and Power BI Desktop are and why Power BI Desktop is a key tool for business intelligence. You'll also learn how to install Power BI Desktop, explore its features, and understand how to use it to create insightful reports. Finally, we'll guide you through the process of publishing a Power BI report. Whether you're a beginner or looking to expand your knowledge, this tutorial provides valuable insights into Power BI Desktop.

✅ 00:00 - Introduction to Power BI Desktop
✅ 01:08 - Evolution of Power BI
✅ 02:47 - What is Power BI?
✅ 03:22 - What is Power BI Desktop?
✅ 03:55 - Why is Power BI Desktop used?
✅ 04:28 - Power BI Desktop installation
✅ 05:04 - How is Power BI Desktop used?
✅ 17:09 - How to Publish Power BI Report?

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🔵 Data Scientist Masters Program: http://bit.ly/3tUAOiT
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🔵 Machine Learning Engineer Masters Program: http://bit.ly/3AEq4c4
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🌕 Advanced Certificate Program in Data Science with E&ICT Academy, IIT Guwahati: http://bit.ly/3V7ffrh

🔵 Advanced Certificate Program in Cloud Computing with E&ICT Academy, IIT Guwahati: https://bit.ly/43vmME8

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About Power BI Certification Course

Edureka's Power BI certification course helps you master Business Analytics, covering Power BI Desktop, DAX, Service, Data Transformation, Reports, and more. With live instructor-led sessions and real-time projects, you’ll gain hands-on experience from industry experts with over 10 years of experience and be prepared to clear the PL-300 exam.
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What are the prerequisites for the Edureka Power BI training course?

There is no prior technical knowledge required for this Power BI training course. However, a fundamental understanding of Microsoft Excel, R and Python Scripts will be an advantage. To help you brush up concepts of R and Python Scripts, we will provide self-paced videos absolutely free in your LMS.
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Why should you learn Power BI course?

Power BI is a business analytics service provided by Microsoft. It provides interactive visualizations with self-service business intelligence capabilities, where end users can create reports and dashboards by themselves without having to depend on any information technology staff or database administrator. Microsoft Power BI Plus: Certified by PwC program shares knowledge on how it provides cloud-based BI services - known as Power BI Services, along with a desktop-based interface called Power BI Desktop. It offers Data modeling capabilities including data preparation, and data discovery, which can be utilized for implementing efficient interactive reports and dashboards.
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Highlight: At 33:30 Josh Starmer, Statsquatch, and the Normalsaurus from @statquest have an awesome cameo!

The Qwen3 family of thinking large language models has just been released and the smallest model in the family is just 523MB! But what can such a small model do? Is it just an academic exercise or is it actually useful? Let's find out.
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