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()
Post a Comment

Infosys hiring freshers// Any branch Any graduate//apply now

By Kajal Vishwakarma -


Infosys hiring freshers// Any branch Any graduate//apply now 

 

It is our pleasure to inform you that Infosys will be conducting an off-campus recruitment drive to hire engineering freshers from 2022, 2021,2020 and 2019 batch for Specialist Programmer and Digital Specialist Engineer roles. We need your support in spreading this message to the interested students. Here are more details about each role:


Specialist Programmer (SP): An entry-level role in the Power Programmer stream at Infosys. Specialist Programmers are programming 'polyglots' who are experts in deep programming, full-stack capabilities, high complexity coding, developing rapid applications/platforms, and building technology-enabled solutions. The compensation for this role is INR 9.5 lakhs per annum.

Digital Specialist Engineer (DSE): This role requires full stack capabilities and skills like analytics, artificial intelligence and automation, big data, cloud, cyber security, data consulting, and digital commerce, interaction, and marketing. Digital Specialist Engineers work across business units of Infosys on special projects to develop integrated applications and to bring agility in development with DevSecOps culture. The compensation for this role is INR 6.25 lakhs per annum.

 


The eligibility criteria for these roles has been shared below.


Year of graduation: 2022, 2021, 2020 and 2019

Courses: BE, BTech, ME, MTech, MCA, MSc (5 years integrated)

Branches:

Computer Science Engineering

Information Science & Engineering

Electronics and Communication Engineering

Information Technology

Electrical and Electronics Engineering

Mathematics and Computing

Electronics and Telecommunication Engineering


Interested candidates can apply for this drive by filling out the application form for Infosys Off-campus Recruitment Drive – SP and DSE by Sunday, 17 July, 2022.


 


     Application Form - 

https://surveys.infosysapps.com/r/a/Infosys_SPDSEOC_Jul22

 


The selection process for these roles will be conducted online in two steps: Infosys online test and virtual interview. Eligible candidates who fill the form within the deadline will undergo Infosys online test.


 


To help the candidates prepare for the test, we have shared the ‘Infosys Online Test Samples’. Candidates may also watch this preparatory guidance video on Infosys Recruitment Process for SP and DSE roles by our expert. Kindly note, these should be treated only as guidance and recommendations. These do not contain an exhaustive list of topics that one should restrict to for preparations.


In case of any query, feel free to contact me

Comments

Post a Comment

Popular posts from this blog

Protocol verification using finite state machine model in computer network

By Kajal Vishwakarma -
Protocol Verification Using Finite State Machine Model:- The finite state machine is a mainly used in several protocol models with this technique, every protocol machine is always in a particular state at every time instant. Variables, including the program counter. From every state, there are zero or more possible transition to other states. When some event happens, transition take place. In case of a protocol machine, a transition might take place if a frame is transmitted, if a frame arrives, if a timer expires, if an interrupt takes place, etc. One particular state is designated as the initial state. This state corresponds to the description of the system when it starts running, or at some convenient starting place shortly thereafter. From the initial state, some, perhaps all, of the other states may be approached by a sequence of transition. this technique is called reachability analysis. This analysis can be helpful in determining whether a protocol is correct. All processes are
Read more

Make fire crackers using python turtle 🐢

By Kajal Vishwakarma -
Image
Make fire crackers using python turtle 🐢 //python turtle//graphic design import turtle as t t.bgcolor('black') t.pensize(3) t.tracer(100) t.ht() for i in range(600): color=('red','white','green','blue') t.color(color[i%4]) t.fd(i) t.rt(20) for i in range(6): t.fd(i) t.rt(145) t.bk(i/2) t.lt(180) t.done() Other program you may like it. And please support me guys and please subscribe my youtube channel and also follow my blog. Create one of the best design with python turtle 🐢 it's code is very simple you can easily understood that I hope you enjoy this and please subscribe my youtube channel and don't forget to follow my blog. #2 from turtle import * import colorsys as cs tracer(50) bgcolor('black') h=0.3 pensize(3) for i in range(300): color(cs.hsv_to_rgb(h,1,1)) h+=0.005 rt(20) for j in range(5): fd(i) rt(100) rt(50) rt(118) done() F
Read more

Scope and Limitation of Machine Learning

By Kajal Vishwakarma -
 Scope :- Increase in Data Generation:- Due to excessive production of data, need a method that can be used to structure, analyze and draw useful insight from data. This is where machine learning comes in. It uses data to solve problems and find solution the most complex tasks faced by organizations. Improve Decision Making :- By making use of Various algorithms, Machine Learning can be used to make better business decisions. For example, Machine Learning is used to forecast sales, predict downfalls in the stock market, identify risks and anomalies, etc. Uncover patterns & trends in data:- Finding hidden patterns and extracting key insight from data is the most essential part of machine learning. by building predictive models and using statistical techniques, machine learning allows you to dig beneath the surface and explore the data at a minute scale. Understanding data and extracting patterns manually will take days, whereas machine learning algorithms can perform such computati
Read more