Posts

Conditions-Control-Structures

Table of Contents 1  if Statements2  if…else Statement3  if…elif…else Statement4  Nested if statements5  Practice6  Iterables and Iterators7  while Loops8  for Loops9  range()10  enumerate¬∂11  The break statement12  The continue statement13  Python pass statement14  Comprehensions14.1  comprehension for lists14.2  comprehension for dictionaries14.3  comprehension for sets15  Errors Handling: try except and finally16  Memory Management in Python Iterations if,elif, else Statements for Loops while Loops range() functions break and continue statements pass statement enumerate comprehesions if Statements The colon (:) separates the header of the compound statement from the body.

Python-Basics

In this blog post we will be going to discuss about python basics Python is multi-purpose programming language developed by Guido van Rossum. The language has easy-to-use syntax, it’s a perfect language for someone trying to learn any programming for the first time. This is a comprehensive guide on Basic fundamentals concepts which we are keep in mind before writing code. Table of Contents 1  Basics1.1  print() function:1.2  comment with # symbol:2  Operators3  Primitive Data Types3.

Up and running with blogdown

A guide to getting up and running with blogdown, GitHub, and Netlify

sample rmd

Performing Univariate Analysis # install.packages("car") library(car) data(Prestige, package = "car") ## Warning in data(Prestige, package = "car"): data set 'Prestige' not found ls() ## [1] "ipak" "packages" head(Prestige) ## education income women prestige census type ## gov.administrators 13.11 12351 11.16 68.8 1113 prof ## general.managers 12.26 25879 4.02 69.1 1130 prof ## accountants 12.77 9271 15.70 63.4 1171 prof ## purchasing.officers 11.42 8865 9.11 56.8 1175 prof ## chemists 14.62 8403 11.

Sample Post from R Notebook

This is an R Markdown Notebook. When you execute code within the notebook, the results appear beneath the code. Try executing this chunk by clicking the Run button within the chunk or by placing your cursor inside it and pressing Ctrl+Shift+Enter. hello plot(cars) Add a new chunk by clicking the Insert Chunk button on the toolbar or by pressing Ctrl+Alt+I. hello1 When you save the notebook, an HTML file containing the code and output will be saved alongside it (click the Preview button or press Ctrl+Shift+K to preview the HTML file).

Working with dplyr and ggplot2

dplyr - Data Mainpulation Package Intorduction Most of the data scientists spend 70 to 80% of their time on data preparation for a given project also known as wrangling or cleaning or simply we can say data manipulations, so dplyr is one of the most popular package which can help R users to solve on preparing or manipulating the dataset before going for actual analysis or modeling. some of those operations such as selecting required columns, adding a new column, filtering required observations, or even some of the tasks like sorting or aggregating

Sample Post from R Notebook code{white-space: pre;} div.sourceCode { overflow-x: auto; } table.sourceCode, tr.sourceCode, td.lineNumbers, td.sourceCode { margin: 0; padding: 0; vertical-align: baseline; border: none; } table.sourceCode { width: 100%; line-height: 100%; } td.lineNumbers { text-align: right; padding-right: 4px; padding-left: 4px; color: #aaaaaa; border-right: 1px solid #aaaaaa; } td.sourceCode { padding-left: 5px; } code span.kw { color: #007020; font-weight: bold; } /* Keyword */ code span.