COMPLETE Python Bootcamp – Updated

COMPLETE Python Bootcamp – Updated, available at $19.99, has an average rating of 4.2, with 65 lectures, 2 quizzes, based on 41 reviews, and has 1020 subscribers.

You will learn about Learn Python Programming professionally . Learn about Datatypes like List,Tuple,Set,Strings and Numbers explained very well with example Learn how to make GUI application using Tkinter Projects are also there to apply the python skills into real world learn how to do file handling using Python Learn about Basic concepts like Loops , Decision Making statement etc make your base strong Learn how to use GUI component like Radiobutton , Checkbox button, Button , entry , cursor etc to make attractive GUI application Learn about Object oriented skills make your work more easy and efficient This course is ideal for individuals who are Any prior working knowledge of programming language would help, however it is not must. It is particularly useful for Any prior working knowledge of programming language would help, however it is not must.

Enroll now: COMPLETE Python Bootcamp – Updated

Summary

Title: COMPLETE Python Bootcamp – Updated

Price: $19.99

Average Rating: 4.2

Number of Lectures: 65

Number of Quizzes: 2

Number of Published Lectures: 54

Number of Published Quizzes: 2

Number of Curriculum Items: 67

Number of Published Curriculum Objects: 56

Original Price: $19.99

Quality Status: approved

Status: Live

What You Will Learn

Learn Python Programming professionally .
Learn about Datatypes like List,Tuple,Set,Strings and Numbers explained very well with example
Learn how to make GUI application using Tkinter
Projects are also there to apply the python skills into real world
learn how to do file handling using Python
Learn about Basic concepts like Loops , Decision Making statement etc make your base strong
Learn how to use GUI component like Radiobutton , Checkbox button, Button , entry , cursor etc to make attractive GUI application
Learn about Object oriented skills make your work more easy and efficient

Who Should Attend

Any prior working knowledge of programming language would help, however it is not must.

Target Audiences

Any prior working knowledge of programming language would help, however it is not must.

Why is Python so popular?

Python has become popular among developers today, and it is preferred by a large number of organizations as Python helps developers be productive and confident about the software they’re building. Benefits that make Python the best fit for machine learning and AI-based projects include simplicity and consistency, access to great libraries and frameworks for AI and machine learning (ML), flexibility, platform independence, and a wide community. These add to the overall popularity of the language.

Is Python hard to learn?

Python is widely considered one of the easiest programming languages for a beginner to learn, but it is also difficult to master. Anyone can learn Python if they work hard enough at it, but becoming a Python Developer will require a lot of practice and patience.

What you will learn in this course?

In this course, you’ll learn to code python and at the end you will be able to develop applications based on Python.

You will learn fundamental concepts like Datatypes (List, Tuple, Set, Strings and Numbers), OOPS, File handling operation and GUI with in-depth hands on all of the modules.

Each module holds their own importance whether it is OOPS or file handling.

What is Tkinter?

Tkinter will be used to develop Graphical User Interface applications for web and desktop. Widgets like Radio-button, Checkbox button, Button, Entry, Cursor and many more will be there in this amazing learning path.

What is file handling?

File Handling in Python is an indispensable operation for accessing and manipulating files directly into your Python program.

What is Object Oriented Programming?

The object oriented paradigm will give advantages of reusability and flexibility to the developer building big applications, Concepts like Inheritance, Polymorphism, Encapsulation, Constructors, Operator Overloading, Method Overriding will be explained with painless exercises.

This course also contains projects which will help you to work in the real world. Are you ready to have a amazing python learning journey?

Course Curriculum

Chapter 1: Welcome to the world of Python Programming

Lecture 1: Introduction

Chapter 2: Resource file

Lecture 1: Codes

Chapter 3: Web Development with Flask

Lecture 1: Setting up the virtual environment and Installing required packages

Lecture 2: Running flask application for first time

Chapter 4: Basic Syntax, Decision Making statement, Loops

Lecture 1: Basic Syntax , Variables and Operators

Lecture 2: Decision Making Statement(if,if else,nested if else,elif)

Lecture 3: Loops

Chapter 5: Python Datatypes

Lecture 1: Python List

Lecture 2: Python Tuples

Lecture 3: Python Sets

Lecture 4: Python Numbers

Lecture 5: Python String

Chapter 6: File Handling

Lecture 1: Overview

Lecture 2: File Object attribute

Lecture 3: File Object Method Intro

Lecture 4: read() and readline()

Lecture 5: write()

Lecture 6: write() -2 [different modes]

Lecture 7: isatty() and next()

Lecture 8: close() , flush() , fileno() , tell() , seek()

Lecture 9: os.rename() and os.remove()

Chapter 7: Python GUI: tkinter

Lecture 1: Introduction to python GUI

Lecture 2: Widgets Intro and Types

Lecture 3: Tkinter Bitmaps

Lecture 4: Tkinter Cursors

Lecture 5: Tkinter Button

Lecture 6: Button Example

Lecture 7: Tkinter Checkbutton

Lecture 8: Tkinter Radiobutton

Lecture 9: Tkinter Radiobutton example

Lecture 10: Tkinter Menu

Lecture 11: Example: Calculator

Lecture 12: Tkinter Entry

Lecture 13: Example: Notepad

Lecture 14: Tkinter MessageBox

Lecture 15: Tkinter Canvas

Lecture 16: Geometry Manager

Chapter 8: Object Oriented Programming with Python

Lecture 1: Introduction(Procedural vs Oops, Features and Fundamental concepts of OOPs)

Lecture 2: Class (Methods in Class)

Lecture 3: Practical-1 Class

Lecture 4: Practical-2 Built-in Attribute

Lecture 5: Features of OOPS

Lecture 6: Inheritance

Lecture 7: Inheritance Practical(Multilevel and Multiple Inheritance)

Lecture 8: Polymorphism

Lecture 9: Encapsulation

Lecture 10: Constructors

Lecture 11: Operator Overloading

Lecture 12: Method Overriding

Chapter 9: Game

Lecture 1: Rock, Paper and Scissors

Lecture 2: Make your own audiobook bot

Chapter 10: Advanced Topics

Lecture 1: Quick Recap – NUMPY

Lecture 2: Quick Recap – Pandas

Chapter 11: Last Words

Lecture 1: Bonus Lecture

Instructors

Pranjal Srivastava
Docker | Kubernetes | AWS | Azure | ML | Linux | Python

Rating Distribution

1 stars: 2 votes
2 stars: 0 votes
3 stars: 5 votes
4 stars: 3 votes
5 stars: 31 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

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