Python Courses Live Class

4.9 out of 5 (178 Ratings)

Learn one of the best programming language and gain in-depth knowledge on all the essential concepts of Object-Oriented Programming. Python is widely used in Software Development, Web App Development, Artificial Intelligence, Machine Learning, Deep Learning, Data Science and Ethical Hacking Python is a gateway to enhance your career in the world of programming.

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Python Training Overview

Python Training Course Description

Python is easy to use, powerful, and versatile and easy readable which makes it more easier master the concepts of Python programming such as Data Operations, File Operations, Object-Oriented concepts, and various Python libraries such as Pandas, Numpy, Matplotlib and many more essential concepts of Object-Oriented Programming, Python Programming, third-party modules. Edugators training will make you proficient and skilled in Python which is Compatible with Major Platforms and Systems and increases your growth in every expect as a programmer.

Requirements

Computer or laptop with an Intel i3 processor or above
Highspeed Internet Connection
A minimum of 3GB RAM

There are no specific prerequisites for taking up the Python Programming Certification Training. Basic understanding of Computer Programming terminologies is beneficial.

Python Training Course Syllabus

Python Environment Setup and Essentials

Introduction to Python Language
Features, the advantages of Python over other programming languages
Python installation – Windows, Mac & Linux distribution for Anaconda Python
Deploying Python IDE
Basic Python commands, data types, variables, keywords and more
Control Flow Statements

Python language Basic Constructs

Built-in data types in Python
Learn classes, modules, Str(String), Ellipsis Object, Null Object, Ellipsis, Debug
Basic operators, comparison, arithmetic, slicing and slice operator, logical, bitwise
Loop and control statements while, for, if, break, else, continue.
Test Automation Types (Unit Testing, API Testing, GUI Testing)

OOP concepts in Python

User-Defined Functions
Concept of Return Statement
Concept of __name__=” __main__”
Different Types of Arguments
Global Variables and Keywords
Lambda - Features, Syntax, Options
Various Built-In Functions
Introduction to Object-Oriented Concepts
Built-In Class Attributes
Python Object-Oriented Concepts Applications
Python Object-Oriented Core Principles and Its Applications
Inheritance and Its Types
Method Resolution Order
Overloading and Overriding
Getter and Setter Methods
Inheritance-In-Class Case Study

Working with Modules and Handling Exceptions

Standard Libraries
Packages and Import Statements
Reload Function
Important Modules in Python
Sys Module and Os Module
Math Module
Date-Time Module
Random Module
JSON Module
Regular Expression
Exception Handling

Introduction to NumPy

Basics of Data Analysis
NumPy - Arrays
Operations on Arrays
Indexing Slicing and Iterating
NumPy Array Attributes
Matrix Product
NumPy Functions
Functions
Array Manipulation
File Handling Using NumPy

Data Manipulation using pandas

Introduction to pandas
Data structures in pandas
Series and Data Frames
Importing and Exporting Files in Python
Basic Functionalities of a Data Object
Merging of Data Objects
Concatenation of Data Objects
Types of Joins on Data Objects
Data Cleaning using pandas
Exploring Datasets
Question-Answer Session

Data Visualization using Matplotlib

Why Data Visualization?
Matplotlib Library
Line Plots, Multiline Plots and Bar Plot
Histogram
Pie Chart
Scatter Plot and Boxplot
Saving Charts
Customizing Visualizations
Saving Plots
Grids
Subplots

GUI Programming

Ipywidgets Package
Numeric Widgets
Boolean, Selection and String Widgets
Date Picker and Color Picker
Container Widgets
Creating a GUI Application

Developing Web Maps and Representing Information using Plots

Use of Folium Library
Use of Pandas Library
Flow Chart of Web Map Application
Developing Web Map Using Folium and Pandas
Reading Information from Titanic Dataset and Represent It Using Plots

Web scraping with Python

Introduction to web scraping in Python
Installing of beautifulsoup
Installing Python parser lxml
Various web scraping libraries, beautifulsoup, Scrapy Python packages
Creating soup object with input HTML
Searching of tree, full or partial parsing, output print
Question-Answer Session

Python Training - Tutorials & Learning Guide

Welcome to the complete learning tutorials for Python Training . These tutorials are designed in simple language with examples, practice questions, and real-world projects to help you master the course step by step.

📘 Course Tutorials

📖 Python Training Tutorials & Learning

Understand the basics, scope, and career opportunities in Python Training . Learn why this technology is important and how it is used in real industries.

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🎯 Interview Preparation

Most asked interview questions and real-world scenarios from Python Training to help you crack interviews.

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Course Features

Sessions 22
Assignment Yes
Test Yes
Duration 2 hours / Class
Language English / Hindi

What People Say

Nagmani Solanki

Digital Marketing

Edugators platform is the best place to learn live classes, and live projects by which you can understand easily and have excellent customer service.

Saurabh Arya

Full Stack Developer

It was a very good experience. Edugators and the instructor worked with us through the whole process to ensure we received the best training solution for our needs.

Praveen Madhukar

Web Design

I would definitely recommend taking courses from Edugators. The instructors are very knowledgeable, receptive to questions and willing to go out of the way to help you.