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How to install Python in Ubuntu?

How to install Python in Ubuntu?

Table of Contents

How to install Python in Ubuntu?

“know the Power of Python by installing it into Ubuntu and learning “

A programming language that has drawn the interest of programmers in the world of programming is the one and only Python language. People who are thinking of a career in programming then he or she can start with Python first as it is in general use. 

There are a number of industries like web development, artificial intelligence, data analysis, and much more where Python is used. The Python programming course fees are very affordable.

Python is an open-source language because of this the programming community can work together. Although Python 2.7 is already installed on Ubuntu, it is essential to remember that future versions, such as Python 3 and others, can be added. We’ll explore Python’s history, semantics, and syntax and in the end, the steps used to install it in Ubuntu through this blog.

Let’s get started and maximize Python in your Ubuntu environment.

Syntax of Python:

Python’s Syntax is simple and easy to understand and is based on the indentation method which means that the code blocks are defined by the level of indentation, not by explicit delimiters like brackets or curly braces. Choose the best Python Course in Faridabad is the best to learn all about Python. Below mentioned is an example of a Python function that calculates the factorial of a number:

def factorial(n):

    if n == 0:

        return 1

    else:

        return n * factorial(n-1)

The function is defined in this example using the ‘def’ keyword, and the defining code block is indented. To define their separate code blocks, the ‘if’ and ‘else’ statements are also indented.

Semantics of Python:

Despite the fact that Python’s syntax is made to be simple to read, its semantics are just as crucial. Since readability and maintainability are two areas where Python places a lot of emphases, code should be simple to comprehend, alter, and troubleshoot.

Semantics in Python is founded on a few fundamental ideas, including:

 

  1. Objects and classes: Python is an object-oriented language in it every concept is an object. If you want to define objects, classes are needed. Objects are those that include attributes (data) and methods (functions).

 

  1. Dynamic typing: The variable of Python are typed dynamically, which shows that they are decided upon at runtime not during compilation.

 

  1. Automatic garbage: This collection allows Python to manage the memory without including the explicit memory allocation or deallocation on the part of the programmer.

 

  1. Python features strong typing, which means that the type of a variable is required. Without expressly converting one of them, you cannot combine a string with an integer, for instance. Python programming course fees are the fees that you can afford and get back results of it.

The overall goal of Python’s semantics is to make programming simpler, more adaptable, and less error-prone.

 

A step-by-step guide to installing Python in Ubuntu

1. Ubuntu System Updation

The first step to do before installing Python is to update your system to the latest version available. The updation process can be done by starting the terminal and writing the written command in it :

sudo apt update && sudo apt upgrade

By writing this command you can update your system and install any new software that is available and that you want to install.

2. Python package installation

However Ubuntu has Python in it which is pre-installed, but you have to check whether is the latest version or not. If you want to know the version of Python that is installed on your system then you can write the written commands:

python3 –version

If you already have Python 3.6  installed in your system then you can skip this step. Or if you have any older version of Python installed or have not installed Python before then you can install it by writing the following command in the terminal:

sudo apt install python3

This command is written down so that it can install the latest version of Python 3 that was available in the Ubuntu repositories.

3. Install pip

Pip is known as the package manager of Python and it allows you to install and manage Python. The pip can be installed by writing the following command in the terminal:

sudo apt install python3-pip

For installing pip for Python 3 this command is used.

4. Verify the installation

You can check the versions by writing the following commands in the terminal to verify that Python and pip are installed correctly or not :

python3 –version

pip3 –version

After writing these commands you will get to know the versions of Python and pip installed on your system.

Additional Read: How to install Python on Mac?

How to install Pandas in Python?

 

Conclusion

You will eventually discover that Python has been successfully installed on your Ubuntu system. You now have a strong foundation for Python if you follow this step-by-step tutorial to begin creating and exploring its myriad possibilities of it. Dreamer Infotech makes you learn all about Python. Keep this in mind while you continue learning Python and make sure you use the most recent versions and packages to fully utilize this formidable programming language. 

Ubuntu Python installation is a straightforward process, not a difficult one. If you wish to work on several Python projects with various dependencies, virtualenv can also be installed. Once Python has been successfully installed, you can begin creating Python code and exploring the extensive world of Python programming.

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AGGREGATE FUNCTIONS
  • MySQL count()
  • MySQL sum()
  • MySQL avg()
  • MySQL min()
  • MySQL max()
MYSQL JOIN

MySQL JOIN

DATA ANALYTICS

DATA PRE-PROCESSING/WRANGLING

NUMPY
  • Fundamentals of NumPy
  • Types of arrays in NumPy
        Ones
        Empty
        Zeros
        Create Random Array
  • Reshaping of the array
         1-D to 2-D array
         2-D to 3-D array
         3-D to 1-D array
  • Arithmetic operations on  Array
         Addition
         Subtraction
         Multiplication
         Exponential
  • Slicing of the array
        How to slice array
        Change in properties during slicing
  • Transpose of a matrix
        How to take transpose
        Rows and columns  while taking transpose
  • Dot product of the matrix
       How to take Dot product of the Matrix
PANDAS
  • Data Frame
         What is Pandas Dataframe
         Different ways to create a Dataframe
        Read data from different sources and convert them to the Dataframe.
  • Pandas Series
        What is panda Series
        How to create a Panda Series.
  • Data inspection
         Using Count, info, head, tail.
         Using Shape, describe, unique, value etc
  • Data Slicing
        Data Slicing loc and iloc
  • Dataframe operations
         How to create a column or row
        How to delete a column or row
    Operations on Rows and Columns
  • Arithmetic operations on rows and
    columns
  • Handle Duplicate value and Null value
  • Handle outlier data
  • Group by Operations
  • Data Reshaping
  • Merging, Joining ,concatenation and
    append
  • Time series
MATPLOTLIB
  • Matplotlib for 3-D visualization
  • Bar, Pie, line, histogram
  • Countplot, boxplot, heatmap
SCIKIT-LEARN
  • Scikit models
  • Preprocessing using Scikit learn
  • Classification using Scikit-learn
  • Clustering using Scikit-learn
  • Regression using Scikit-learn
STATISTICS
  • Scalar and vector
  • Introduction to linear algebra
  • Measure of central tendency mean
  • Measure of central tendency mode
  • Measure of central tendency mode
  • Variance
  • Standard deviation
    Measure of shape skewness
    Measure of shape kurtosis
    Covariance and correlation
PROBABILITY
  • Importance of probability
  • Discrete and continuous variable
  • Bayes Theorem
  • Central Limit theorem
  • Normal Distribution
  • Bernoulli distribution
  • Uniform Distribution
HYPOTHESIS TESTING
  • Hypothesis testing and mechanism
  • Confidence interval
  • Margin of Errors
  • Confidence levels
  • T test and P values using python
  • Z test and P values using python
  • Chi Squared Distribution using python
LINEAR REGRESSION
  • Types of variables
  • Types of Linear variables
  • Mathematics Behind it
  • Implementation of the model
  • Testing and Check
  • Performance of the model
  • Assumptions of the Linear Regression
POLYNOMIAL REGRESSION
  • Need of polynomial Regression
  • Types of Variables in the Polynomial regression
  • Mathematics behind it
  • Implementation of the model
  • Testing and check performance of the
    model
MULTIPLE REGRESSION
  • Need of multiple Regression
  • Mathematics behind it
  • Implementation of the model
  • Testing and check performance of the model
RANDOM FOREST ALGORITHM
  • Why to use random Forest
  • Assumptions in random Forest
  • Working and Implementation of the Model
  • Data Pre-processing in Random Forest
SUPPORT VECTOR MACHINES
  • Types of SVM
  • Implementation of the SVM
  • Creating confusion matrix
NAIVE BAYES CLASSIFIER ALGORITHM
  • Bayes Theoram
  • Implementation of Naïve Bayes
    Classifier
  • Type of Naïve Bayes Model

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Event listeners and handlers
Mouse events
Keyboard events

DOCUMENT OBJECT MODEL (DOM)

Accessing and manipulating HTML elements
DOM navigation and manipulation
Creating and removing HTML elements

1. INTRODUCTION TO REACT.JS

What is React.js?
History and evolution of React.js
React.js components and their role in
building web applications
Setting up the development environment

JSX

Introduction to JSX
Basic syntax and rules of JSX
Embedding expressions in JSX
Conditional rendering in JSX
Working with lists in JSX

REACT COMPONENTS

Understanding components
Creating class components
Creating functional components
Props and state in React components
Lifecycle methods in React components

REACT EVENTS

Handling events in React
Binding event handlers in React
Passing data to event handlers in React
Conditional rendering based on events in
React

REACT FORMS

Creating forms in React
Handling form submission in React
Controlled and uncontrolled components
in React

REACT ROUTING

Introduction to React Router
Setting up routing in React
Creating routes in React

INTRODUCTION TO MONGODB

What is MongoDB?
Advantages of MongoDB over RDBMS
MongoDB data model and architecture
Setting up the development environment

CRUD OPERATIONS

Creating and inserting documents in
MongoDB
Reading documents from MongoDB
Updating documents in MongoDB
Deleting documents from MongoDB

QUERYING MONGODB

Querying MongoDB using find() method
Querying MongoDB using comparison and
logical operators
Querying MongoDB using regular
expressions
Querying MongoDB using aggregation
framework

INTRODUCTION TO NODE.JS

What is Node.js?
Advantages of Node.js over other serverside technologies
Node.js architecture and event-driven
programming model
Setting up the development environment

NODE.JS MODULES

Introduction to Node.js modules
Creating and using built-in modules
Creating and using custom modules
Working with NPM (Node Package
Manager)

NODE.JS HTTP

Creating HTTP server in Node.js
Understanding HTTP methods and status
codes
Handling HTTP requests and responses
Serving static files in Node.js

EXPRESS.JS FRAMEWORK

Introduction to Express.js framework
Creating and configuring Express.js
application
Handling HTTP requests and responses in
Express.js
Implementing middleware in Express.js

NODE.JS DATABASE CONNECTIVITY

Introduction to database connectivity in
Node.js
Connecting to MongoDB database in
Node.js
Performing CRUD operations in Node.js
using MongoDB
Using Mongoose ORM with MongoDB in
Node.js

NODE.JS SECURITY

Introduction to security in Node.js
Understanding and implementing
authentication and authorization in
Node.js
Implementing HTTPS in Node.js
Preventing common security vulnerabilities
in Node.js

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