data visulaisation Harpreet

-

 




































































































































Comments

Post a Comment

Popular posts from this blog

bookmarks

-
Bookmarks Bookmarks Bookmarks bar Settings Captive Portal Login Page < Go Back Python Programming – A Practical Approach – s.aktu.ictacademyiitk.ac.in IEMCON HACKATHON 2K19 | CodeChef AmbujMishra Online C Compiler - online editor DartPad Stateful Widget Lifecycle | Flutter By Example Repl.it - Online C Editor and IDE - Fast, Powerful, Free Lets Play fantasy Cricket - Playerzpot.com Online Courses - Anytime, Anywhere | Udemy | Udemy google translate - Google Search 100 brilliant color combinations and how to apply them to your designs – Learn Param computer institute and banking jan seva kendra Functions in C | HackerRank Release notes | Django documentation | Django Using BeautifulSoup to parse HTML and extract press briefings URLs | Computational Journalism, Spring 2016 Window.requestAnimationFrame(...
Read more

problem from contest

-
Home  »  Compete  »  CodeJunk   » Zaikia and sticks Zaikia and sticks  Problem Code:  CKOJ20A       Zaikia has  N N  sticks of distinct positive lengths  A 1 , A 2 , … , A N A 1 , A 2 , … , A N . For no good reason at all, he wants to know if there is a triplet of sticks which when connected end-to-end will form a non-trivial triangle. Here non-trivial refers to a triangle with positive area. Help Zaikia know if such a triplet exists or not. If such a triplet exists, help him find the  lexicographically largest applicable triplet . Input The first line contains an integer  N N . The second line contains  N N  space-seperated integers  A 1 , A 2 , … , A N A 1 , A 2 , … , A N . Output In the first line print  YES  if a triplet exists or  NO  if it doesn't. If such a triplet exists, then in the second line print the  lexicographically largest applicable triplet . Con...
Read more

import and check version

-
test1 index import and check version 1. import and check version In [6]: import sys #access to system parameters https://docs.python.org/3/library/sys.html print ( "Python version: {} " . format ( sys . version )) import pandas as pd #collection of functions for data processing and analysis modeled after R dataframes with SQL like features print ( "pandas version: {} " . format ( pd . __version__ )) import matplotlib #collection of functions for scientific and publication-ready visualization print ( "matplotlib version: {} " . format ( matplotlib . __version__ )) import numpy as np #foundational package for scientific computing print ( "NumPy version: {} " . format ( np . __version__ )) import scipy as sp #collection of functions for scientific computing and advance mathematics print ( "SciPy version: {} " . ...
Read more

seaborn

-
seaborn-youtube In [16]: from IPython.display import Image from IPython.core.display import HTML from IPython.display import IFrame IFrame ( 'https://drive.google.com/file/d/11UVyiJ-JS2NHDurZuOpDNcZF6u1YGG1D/preview' , width = 640 , height = 480 ) # IFrame is a python code not markdown Out[16]: In [17]: IFrame ( 'https://indianaiproduction.com/artificial-intelligence/' , width = 640 , height = 480 ) Out[17]: In [ ]:
Read more

matplotlib starting concept

-
Image
matplotlib-udemy-Copy1 In [1]: import matplotlib.pyplot as plt Matplotlib is building the font cache; this may take a moment. In [2]: % matplotlib inline In [4]: #plt.show() it is used (if you not using jupyter notebook) In [5]: import numpy as np x = np . linspace ( 0 , 5 , 11 ) y = x ** 2 In [6]: x Out[6]: array([0. , 0.5, 1. , 1.5, 2. , 2.5, 3. , 3.5, 4. , 4.5, 5. ]) In [7]: y Out[7]: array([ 0. , 0.25, 1. , 2.25, 4. , 6.25, 9. , 12.25, 16. , 20.25, 25. ]) In [8]: #functional plt . plot ( x , y ) Out[8]: [<matplotlib.lines.Line2D at 0x468f730>] In [9]: plt . plot ( x , y ) plt . show () # it is...
Read more

machine-learning-1-practical

-
machine-learning-1-practical In [4]: from IPython.display import Image from IPython.core.display import HTML from IPython.display import IFrame In [21]: import pandas as pd import matplotlib.pyplot as plt import numpy as np import os In [22]: pwd Out[22]: 'F:\\python for data science and machine learning\\machine-learning-1' In [41]: os . listdir ( 'F:/python for data science and machine learning/machine-learning-1' ) Out[41]: ['.ipynb_checkpoints', 'death .csv', 'machine-learning-1-practical.ipynb', 'screenshots'] In [48]: data = pd . read_csv ( 'death .csv' ) # attemtion death ke baad file me space tha phir csv isliye read nhi ho rhi thi data . head () Out[48]: ...
Read more

Creating a Basic Navigation using HTML CSS

-
Image
code index.html <! DOCTYPE   html > < html   lang = "en" >    < head >      < meta   charset = "UTF-8"   />      < meta   name = "viewport"   content = "width=device-width, initial-scale=1.0"   />      < link   rel = "stylesheet"   href = "style.css"   />      < title > Document </ title >    </ head >    < body >      < ul >        < li   class = "active" >< a   href = "#" > Home </ a ></ li >        < li >< a   href = "#" > About Us </ a ></ li >        < li >< a   href = "#" > Services </ a ></ li >        < li >< a...
Read more