Complete Python 3 Programming Bootcamp- Beginner to Advanced

Complete Python 3 Programming Bootcamp: Beginner to Advanced, available at $84.99, has an average rating of 4.4, with 98 lectures, 9 quizzes, based on 684 reviews, and has 6287 subscribers.

You will learn about Gain a Complete Knowledge of Python 3! Code Your Own Python Programs! Learn How to Install and Work with Python IDE Programs (Jupyter Notebook, Python IDLE, Sublime Text, etc.) Understand the Programming Logic, and Gain Detailed Knowledge in Regard to Python Programming Language Learn Python Data Types Understand Conditional Statements Rule the Control Flows of Your Programs using Python Loop Structures Create, Read and Write to Files on your System using Python Understand & Learn Every Python Concepts (Basic to Advanced) Learn (OOP) Object Oriented Programming in Python Get a Better Job and Income! Quizzes / Assignments Lifetime Support from the Authors And Much More Beyond These This course is ideal for individuals who are Anyone who wants to learn Python Programming or University or college students or Graduates or workers or Python for Beginners or Intermediates on Python or Anyone who wants to improve Python skills or Software developers (Java/.net/Ruby) who wants to learn Python It is particularly useful for Anyone who wants to learn Python Programming or University or college students or Graduates or workers or Python for Beginners or Intermediates on Python or Anyone who wants to improve Python skills or Software developers (Java/.net/Ruby) who wants to learn Python.

Enroll now: Complete Python 3 Programming Bootcamp: Beginner to Advanced

Summary

Title: Complete Python 3 Programming Bootcamp: Beginner to Advanced

Price: $84.99

Average Rating: 4.4

Number of Lectures: 98

Number of Quizzes: 9

Number of Published Lectures: 94

Number of Published Quizzes: 2

Number of Curriculum Items: 108

Number of Published Curriculum Objects: 96

Original Price: $199.99

Quality Status: approved

Status: Live

What You Will Learn

Gain a Complete Knowledge of Python 3!

Code Your Own Python Programs!

Learn How to Install and Work with Python IDE Programs (Jupyter Notebook, Python IDLE, Sublime Text, etc.)

Understand the Programming Logic, and Gain Detailed Knowledge in Regard to Python Programming Language

Learn Python Data Types

Understand Conditional Statements

Rule the Control Flows of Your Programs using Python Loop Structures

Create, Read and Write to Files on your System using Python

Understand & Learn Every Python Concepts (Basic to Advanced)

Learn (OOP) Object Oriented Programming in Python

Get a Better Job and Income!

Quizzes / Assignments

Lifetime Support from the Authors

And Much More Beyond These

Who Should Attend

Anyone who wants to learn Python Programming

University or college students

Graduates or workers

Python for Beginners

Intermediates on Python

Anyone who wants to improve Python skills

Software developers (Java/.net/Ruby) who wants to learn Python

Target Audiences

Anyone who wants to learn Python Programming

University or college students

Graduates or workers

Python for Beginners

Intermediates on Python

Anyone who wants to improve Python skills

Software developers (Java/.net/Ruby) who wants to learn Python

Would you like to become a job-ready Python Programmer or advance your existing Python skills?

Then this is the “right” course for you!

Welcome to the most comprehensive, practical, and well-organized “Python 3” Programming course on Udemy.

You’ll be learning Python from scratch with this Professionally Designed Python Programming Course!

Become an Expert Python Programmer and learn one of the employers’ most demanded skills of 2022!

If you have no previous knowledge or experience in Python programming, don’t worry you will like that the course begins with Python basics. Even if you have some experience in programming in Python, this course can help you learn some new information you had missed before. Each section of the course is linked to the previous one in terms of utilizing what was already learned and each topic is supplied with lots of examples that will help students in their process of learning. Upon the completion of this course, you should be able to write programs that have real-world examples.

What I think is the best about this course is that you can search questions others have had, post your own questions, and get answers to challenges you are currently facing in learning and using Python programming. 

Here is the list of topics that you’ll learn by the end of the course:

Command Line Basics

Installing Python

Installing various Python IDEs

Running Python Code

Python Strings

Python Lists

Python Dictionaries

Python Tuples

Python Sets

Python Number Data Types

Python Output Formatting

Python Conditional Statements

Python Loops

Python Functions

Python Function’s Scope

Python args/kwargs

Python Built-in Functions

Python Debugging and Error Handling

Python Modules

Python External Modules

Object-Oriented Programming Concepts in Python (OOP Python)

Functional Programming in Python

Python Inheritance

Python Polymorphism

Python Iterator

Python Decorator

Python Generator

Python Yield 

Python File I/O Operations

Python Advanced Data Structures

Working with Databases in Python

And much more!

If you have any suggestions on topics that have not been covered, you can send them via private message.

We will do our best to cover them as soon as possible.

You’ll also get:

Lifetime Access to The Course

Working Document for Each Lesson

Fast & Friendly Support in the Q&A Section

Udemy Certificate of Completion Ready for Download!

No-Risk – Money-Back Guarantee:

Finally, there is no risk. You can preview 10% of the course for free. Once you purchase the course, if for some reason you are not happy with the course, Udemy offers a 30-day money-back guarantee.

So, you have nothing to lose, sign up now for this great Python programming course,and learn how to write your Python programs easily from scratch to master level!

Hope to see you on the course soon and I hope you will enjoy your time learning as much as I have!

So what are you waiting for?

I’ll see you in the next lecture!

Course Curriculum

Chapter 1: Course Introductory Video

Lecture 1: Course Introductory Video

Chapter 2: Course Overview

Lecture 1: Why Should We Learn Python?

Lecture 2: How Should You Study This Course?

Chapter 3: Software Preparation & Installation

Lecture 1: The Jupyter Notebook Installation

Lecture 2: The Jupyter Notebook Installation (Student Guide)

Lecture 3: Python 2 or Python 3 ?

Lecture 4: Install Python on Windows

Lecture 5: Install Python on Linux

Lecture 6: Python IDE Installation

Lecture 7: PyCharm IDE Installation (Quick-Reference Guide)

Lecture 8: Setting Up Sublime Text For Python Development

Lecture 9: Use of the Jupyter Notebook

Chapter 4: Python Programming Basics & Data Structures

Lecture 1: Python Numbers (Integers & Floats)

Lecture 2: Python Variables (Part 1)

Lecture 3: Python Variables (Part 2)

Lecture 4: Python Basic Operators

Lecture 5: Python Strings – (Part 1)

Lecture 6: Python Strings – (Part 2)

Lecture 7: Python Print Function

Lecture 8: Python Output Formatting – Using format() function

Lecture 9: Python List – (Part 1)

Lecture 10: Python List – (Part 2)

Lecture 11: Python Tuple

Lecture 12: Python Dictionaries

Lecture 13: Python Sets

Lecture 14: Data Type Conversions

Lecture 15: Getting Inputs from the Users

Lecture 16: Python Basics and Python Data Structures Assignments

Lecture 17: Python Basics and Python Data Structures Assignments (Solutions)

Chapter 5: Python Conditionals & Control Structures

Lecture 1: Comparison Operators

Lecture 2: Logical Operators

Lecture 3: Membership Operators

Lecture 4: Chained Comparison Operators

Lecture 5: If-Else Statements

Lecture 6: If-Elif-Else Statements

Chapter 6: Loops – The ease of programming!..

Lecture 1: Introduction to Loops

Lecture 2: For Loop

Lecture 3: Range Function

Lecture 4: While Loop

Lecture 5: Python Break Statements

Lecture 6: Python Continue Statements

Lecture 7: Python Pass Statement

Lecture 8: List Comprehension in Python

Chapter 7: Python Functions – The Power of Programming!

Lecture 1: Introduction to Functions & Methods

Lecture 2: What are the Functions, Python Built-in Functions

Lecture 3: How to Call Functions & Function Arguments in Python

Lecture 4: The Return Statement

Lecture 5: Function Parameter Types in Python – (Part 1)

Lecture 6: Function Parameter Types in Python – (Part 2)

Lecture 7: Global and Local Variables in Functions

Lecture 8: Lambda (Anonymous) Functions

Chapter 8: Dealing with Errors and Exception Handling

Lecture 1: What are the Exceptions?

Lecture 2: Exception Handling : Try – Except Statements

Lecture 3: Exception Handling : Try – Except – Else Statements

Lecture 4: Exception Handling : Try – Except – Finally Statements

Lecture 5: Exception Handling : Raising Exceptions

Chapter 9: Python Modules and Packages

Lecture 1: What are modules in Python?

Lecture 2: How to Import and Use the Modules in Python?

Lecture 3: Making Your Own Modules

Lecture 4: Coding Exercise : Guess The Number Game

Chapter 10: Python Files I/O (File Handling in Python)

Lecture 1: Python File Operations : How to open and close a file using Python?

Lecture 2: How to Write to Files Using Python?

Lecture 3: How to Read Files in Python?

Lecture 4: Python File Methods

Lecture 5: Python File Modes

Lecture 6: How to Modify the Files

Chapter 11: Object-Oriented Programming (OOP) in Python 3

Lecture 1: Object Oriented Programming in Python

Lecture 2: Python Classes and Objects (Part 1)

Lecture 3: Python Classes and Objects (Part 2)

Lecture 4: Python OOP: Methods (Part 1: Regular Methods)

Lecture 5: Python OOP: Methods (Part 2: Classmethods & Staticmethods)

Lecture 6: Python OOP: Understanding Inheritance

Lecture 7: Python OOP: Inheritance and Overriding

Lecture 8: Python Special (Magic/Dunder) Methods

Chapter 12: Functional Programming in Python 3

Lecture 1: Python Map() Function

Lecture 2: Python Filter() Function

Lecture 3: Python Reduce() Function

Lecture 4: Python Zip() Function

Lecture 5: Python Enumerate() Function

Lecture 6: Python All() and Any() Functions

Chapter 13: Python Advanced Data Structures

Lecture 1: Advanced Numbers

Lecture 2: Advanced Strings (Part 1)

Lecture 3: Advanced Strings (Part 2)

Lecture 4: Advanced Lists

Chapter 14: Working with Databases in Python

Instructors

Code Star Academy
Software Training Center | Over 250.000+ Successful Students

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Rating Distribution

1 stars: 10 votes

2 stars: 14 votes

3 stars: 68 votes

4 stars: 241 votes

5 stars: 351 votes

Frequently Asked Questions

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