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PHYTON TRIVIA - INGLÉS NIVEL 1

  •  English    21     Public
    Trivia Game designed for the first class of "English Level 1" for university students. https://www.datacamp.com/blog/what-is-python-used-for
  •   Study   Slideshow
  • Do you prefer working alone or in a team when coding? Why?
    Open-ended; no right or wrong answer
  •  15
  • What do you think is the most exciting field in programming today?
    (Examples: AI, web development, game development, etc.)
  •  15
  • If you could create any app, what would it be about?
    (Open-ended.)
  •  15
  • Which programming language is often used for web design? a) Python b) JavaScript c) C++
    b) JavaScript
  •  15
  • What does “HTML” stand for?
    Hyper Text Markup Language
  •  15
  • Which company developed the programming language Java?
    Sun Microsystems
  •  15
  • What is a common name for a logical error in code? a) Virus b) Bug c) Glitch
    b) Bug
  •  15
  • Which is your favourite subject? Why?
    Open-ended
  •  10
  • When and what time is the 'English: LEVEL I' class?
    Tuesdays and Thursdays at 14:00
  •  15
  • Mention 4 classmates' complete name.
    open-ended
  •  15
  • Who is the CEO of Tesla and SpaceX?
    ELON MUSK
  •  15
  • Do you prefer working alone or in a team when solving coding problems?
    open-ended
  •  15
  • What’s your dream job in tech?
    Open-ended
  •  15
  • What type of programming language is Python described as in the article? A) Proprietary, procedural, low-level, domain-specific B) Open-source, object-oriented, high-level, general-purpose C) Closed-source, functional, high-level, applicat
    B-Python is open-source, object-oriented, high-level, and general-purpose DataCamp
  •  20
  • Which two libraries are highlighted as the most famous for data analysis in Python? A) MATPLOTLIB and SEABORN B) TENSORFLOW and PYTORCH C) PANDAS and NUMPY D) DJANGO and FLASK
    C – PANDAS and NUMPY are the most famous for data analysis DataCamp
  •  15
  • Name two Python libraries mentioned for data visualization. A) NUMPY and PANDAS B) SEABORN and MATPLOTLIB C) TENSORFLOW and KERAS D) DJANGO and FASTAPI
    B – SEABORN and MATPLOTLIB for data visualization DataCamp
  •  15