We Will Work on this Example in Google Colab, As we have seen Accessing Python through Google Colab in my previous Posts. (Accessing Python Through Google Colab: – Sri Tech Studio) I have assigned The Range of values from 1 to 5 in Variable x, printed the Variable x and Printed the List of Numbers …
Assigned 3,45,50,100 Values in Variable Named data and Print the data and Check the datatype of the data variable, The data type is shown as List. As We have also Printed Different Datatype Values in Variable data1; List is a heterogeneous data type so it will allow us to print different Data type Values . …
Lists are just like dynamic sized arrays, declared in other languages (vector in C++ and Array in C & Java). Lists need not be homogeneous always which makes it a most powerful tool in Python. A single list may contain Datatypes like Integers, Strings, as well as Objects. Lists are mutable, and hence, they can be altered …
There comes a situation in real life when we need to make some decisions and based on these decisions, we decide what should we do next. Similar situations arise in programming also where we need to make some decisions and based on these decisions, we will execute the next block of code. Decision making statements …
For loops are used for sequential traversal. For example: traversing a list or string or array etc. The for loop in Python is used to iterate over a sequence (list, tuple, string) or other iterable objects. Iterating over a sequence is called traversal. Let’s quickly work on few examples: Here the variable i is iterated …
In Python, While Loops is used to execute a block of statements repeatedly until a given condition is satisfied. And when the condition becomes false, the line immediately after the loop in the program is executed. While loop falls under the category of indefinite iteration. Indefinite iteration means that the number of times the loop is executed isn’t …
Jupyter Notebook(formerly IPython Notebook) is a web-based interactive computational environment for creating Jupyter notebook documents. Markdown is a light weight and popular Markup language which is a writing standard for data scientists and analysts. It is often converted into the corresponding HTML by which the Markdown processor allows it to be easily shared between different …
Data types are the classification or categorization of data items. It represents the kind of value that tells what operations can be performed on a particular data. Since everything is an object in Python programming, data types are classes and variables are instance (object) of these classes. The variable in Python is used to store …
Variables are nothing but reserved memory locations to store values. This means that when you create a variable you reserve some space in memory. Based on the data type of a variable, the interpreter allocates memory and decides what can be stored in the reserved memory. Therefore, by assigning different data types to variables, you …
Python Indentation: The indentation in Python is very important. Indentation refers to the spaces at the beginning of a code line. Where in other programming languages the indentation in code is for readability only, the indentation in Python is very important. Python uses indentation to indicate a block of code. Let’s quickly look into few examples how Python indentation works. Example 1: From the …
If You haven’t Installed or downloaded Anaconda yet, please refer the Below URL to Install Anaconda. After successful Installation , you will Find the Anaconda Command Prompt from the start menu. Open the Anaconda Command Prompt and type jupyter Notebook and Press Enter. Python Workspace will be Opened in the Browser, Minimize this Command Prompt …
Google Colab is an incredible online browser-based platform that allows us to train our models on machines for free! Sounds too good to be true, but thanks to Google, we can now work with large datasets, build complex models, and even share our work seamlessly with others. That’s the power of Google Colab. Colab is …
Setup & Installation: Anaconda is a distribution of Python, it includes not only python, but many libraries that we are going to use in our posts, as well as its own Virtual environment system. It’s an all-in-one install that is extremely popular in data science and Machine learning. Installation Process: Go to this URL : …
This is the Most Trending debut of Aspiring data scientists Here we will try to understand the differences between both programming Language In the battle of data science tools, python and R both have their pros and cons. Selecting one over the other will depend on the use-cases, the cost of learning, and other common …
R is incredible software for statistics and data science. But while the bits and bytes of software are an essential component of its usefulness, software needs a community to be successful. As we came to Know that R Language is growing rapidly and Extremely used and there are lots of new things happening all the …
Few Important Things to know More about R Language: Read More »
The World Bank requires scatterplot depicting Life Expectancy (y-axis) and Fertility Rate (x-axis) statistics by Country. The scatterplot needs to also be categorized by Countries’ Regions. we have been supplied with data for 2 years: 1960 and 2013 and we are required to produce a visualization for each of these years. Some data has been …
1.Which function did we use to import a csv file into R? A. write.csv () B.read.csv () C. import.csv () D. read. File () 2. What is the core difference between a data frame and a matrix? A. A Data Frame can have Named rows & columns, but a matrix Cannot B.A Data Frame can …
As we have seen the data in Plots and Box plot. We have different Plotting shapes available in R Language: If shape given as 0 the data is represented in square plots. If shape given as 2 the data will be represented in triangle shape Now let’s take a small example: We will be using …
Visualize the Data by using More advanced Functions: Read More »
First check Packages related to qplot function are installed or not How do we check?🤔🤔 Type? qplot and run this line of code As we can see the information in console pane that No documentation available for qplot in specified packages, so now we are clear that the packages related to qplot function are not …
Introduction to a Powerful Function qplot in R Language: Read More »
We will be using the same dataset used in my previous post (https://sritechstudio.com/demographic-analysis-using-dataframes/) Now let us work on some basic and essential operations in Dataframe Subsetting : Subsetting in R is a useful indexing feature for accessing object elements. It can be used to select and filter variables and observations. You can use brackets to …
Working with Basic Operations and Filtering Dataframes Read More »
