Graphic design python turtle 🐢

By Kajal Vishwakarma -
from turtle import * import colorsys bgcolor('black') pensize(0) tracer(50) h=0 for i in range(300): c=colorsys.hsv_to_rgb(h,1,1) h+=0.9 color(c) forward(300) left(100) fd(i) goto(0,0) down() rt(90) begin_fill() circle(0) end_fill() rt(10) for j in range(5): rt(30) done() Please follow my blog and subscribe my channel for more videos and newly updates 👍👍👍👍👍 import turtle as t import colorsys t.bgcolor('black') t.tracer(100) h=0.4 def draw(ang,n): t.circle(5+n,60) t.left(ang) t.circle(5+n,60) for i in range(200): c=colorsys.hsv_to_rgb(h,1,1) h+=0.005 t.color(c) t.pensize(2) draw(90,i*2) draw(120,i*2.5) draw()
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Nielsen hiring data science intern//apply now

By Kajal Vishwakarma -


Nielsen hiring data science intern//apply now 


Data Science is at the core of Nielsen’s business. Our team of researchers come from diverse disciplines and they drive innovation, new product ideation, experimental design and testing, complex analysis and delivery of data insights around the world. We support all International Media clients and are located where our clients are.


ABOUT THE JOB

Responsible for automation, execution, and delivery of global analytics solutions, performance dashboards, analytical studies, and building ML models. 

ROLE DETAILS

  • Execute and Deliver analytical studies, extracting and leveraging data from multiple sources to identify new insights for internal teams.
  • Identify valuable data sources and automate collection processes.
  • Undertake preprocessing of structured and unstructured data.
  • Analyze large amounts of information to discover trends and patterns.
  • Present information using data visualization techniques.
  • Maintain flexibility in working in a dynamic work environment where delivery schedules and priorities fluctuate according to client needs and external department demands.
  • Execute ongoing data science processes and recommend improvements in processes and procedures within the area of responsibility.
  • Work collaboratively with colleagues located in the same location and in offices located globally. 

QUALIFICATIONS & SKILLS

  • 0-1 Years: Data Science Intern
  • Strong Analytical and Technical capabilities.
  • Python for Data Science.
  • Good communication skills.
  • Relational databases and SQL.
  • Knowledge of MS Office/Google workspace.
  • Ability to work in a virtual environment.
  • Preferred requirements as follows:
  • Conceptual understanding of Machine Learning Algorithms.
  • Understanding of statistical concepts and tools.
  • Good to have knowledge in a version control system like Bitbucket / GitLab.
  • Knowledge of dashboarding and visualization tools like Spotfire/Tableau. 

Apply here:-

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