Complete Python 3 Programming Bootcamp Beginner to Advanced

Learn Python Programming from Beginner to Advanced Level! Go from Zero to Hero in Python with Hundreds of Examples!
Complete Python 3 Programming Bootcamp Beginner to Advanced
File Size :
8.54 GB
Total length :
19h 54m

Category

Instructor

Code Star Academy

Language

Last update

Last updated 11/2022

Ratings

4.4/5

Complete Python 3 Programming Bootcamp Beginner to Advanced

What you’ll 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…

Complete Python 3 Programming Bootcamp Beginner to Advanced

Requirements

A computer
A passionate learner
No prior programming experience is required!
No paid tools are required as the tools required for this course are free.

Description

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 BasicsInstalling PythonInstalling various Python IDEsRunning Python CodePython StringsPython ListsPython DictionariesPython TuplesPython SetsPython Number Data TypesPython Output FormattingPython Conditional StatementsPython LoopsPython FunctionsPython Function’s ScopePython args/kwargsPython Built-in FunctionsPython Debugging and Error HandlingPython ModulesPython External ModulesObject-Oriented Programming Concepts in Python (OOP Python)Functional Programming in PythonPython InheritancePython PolymorphismPython IteratorPython DecoratorPython GeneratorPython Yield Python File I/O OperationsPython Advanced Data StructuresWorking with Databases in PythonAnd 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 CourseWorking Document for Each LessonFast & Friendly Support in the Q&A SectionUdemy 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!

Overview

Section 1: Course Introductory Video

Lecture 1 Course Introductory Video

Section 2: Course Overview

Lecture 2 Why Should We Learn Python?

Lecture 3 How Should You Study This Course?

Section 3: Software Preparation & Installation

Lecture 4 The Jupyter Notebook Installation

Lecture 5 The Jupyter Notebook Installation (Student Guide)

Lecture 6 Python 2 or Python 3 ?

Lecture 7 Install Python on Windows

Lecture 8 Install Python on Linux

Lecture 9 Python IDE Installation

Lecture 10 PyCharm IDE Installation (Quick-Reference Guide)

Lecture 11 Setting Up Sublime Text For Python Development

Lecture 12 Use of the Jupyter Notebook

Section 4: Python Programming Basics & Data Structures

Lecture 13 Python Numbers (Integers & Floats)

Lecture 14 Python Variables (Part 1)

Lecture 15 Python Variables (Part 2)

Lecture 16 Python Basic Operators

Lecture 17 Python Strings – (Part 1)

Lecture 18 Python Strings – (Part 2)

Lecture 19 Python Print Function

Lecture 20 Python Output Formatting – Using format() function

Lecture 21 Python List – (Part 1)

Lecture 22 Python List – (Part 2)

Lecture 23 Python Tuple

Lecture 24 Python Dictionaries

Lecture 25 Python Sets

Lecture 26 Data Type Conversions

Lecture 27 Getting Inputs from the Users

Lecture 28 Python Basics and Python Data Structures Assignments

Lecture 29 Python Basics and Python Data Structures Assignments (Solutions)

Section 5: Python Conditionals & Control Structures

Lecture 30 Comparison Operators

Lecture 31 Logical Operators

Lecture 32 Membership Operators

Lecture 33 Chained Comparison Operators

Lecture 34 If-Else Statements

Lecture 35 If-Elif-Else Statements

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

Lecture 36 Introduction to Loops

Lecture 37 For Loop

Lecture 38 Range Function

Lecture 39 While Loop

Lecture 40 Python Break Statements

Lecture 41 Python Continue Statements

Lecture 42 Python Pass Statement

Lecture 43 List Comprehension in Python

Section 7: Python Functions – The Power of Programming!

Lecture 44 Introduction to Functions & Methods

Lecture 45 What are the Functions, Python Built-in Functions

Lecture 46 How to Call Functions & Function Arguments in Python

Lecture 47 The Return Statement

Lecture 48 Function Parameter Types in Python – (Part 1)

Lecture 49 Function Parameter Types in Python – (Part 2)

Lecture 50 Global and Local Variables in Functions

Lecture 51 Lambda (Anonymous) Functions

Section 8: Dealing with Errors and Exception Handling

Lecture 52 What are the Exceptions?

Lecture 53 Exception Handling : Try – Except Statements

Lecture 54 Exception Handling : Try – Except – Else Statements

Lecture 55 Exception Handling : Try – Except – Finally Statements

Lecture 56 Exception Handling : Raising Exceptions

Section 9: Python Modules and Packages

Lecture 57 What are modules in Python?

Lecture 58 How to Import and Use the Modules in Python?

Lecture 59 Making Your Own Modules

Lecture 60 Coding Exercise : Guess The Number Game

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

Lecture 61 Python File Operations : How to open and close a file using Python?

Lecture 62 How to Write to Files Using Python?

Lecture 63 How to Read Files in Python?

Lecture 64 Python File Methods

Lecture 65 Python File Modes

Lecture 66 How to Modify the Files

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

Lecture 67 Object Oriented Programming in Python

Lecture 68 Python Classes and Objects (Part 1)

Lecture 69 Python Classes and Objects (Part 2)

Lecture 70 Python OOP: Methods (Part 1: Regular Methods)

Lecture 71 Python OOP: Methods (Part 2: Classmethods & Staticmethods)

Lecture 72 Python OOP: Understanding Inheritance

Lecture 73 Python OOP: Inheritance and Overriding

Lecture 74 Python Special (Magic/Dunder) Methods

Section 12: Functional Programming in Python 3

Lecture 75 Python Map() Function

Lecture 76 Python Filter() Function

Lecture 77 Python Reduce() Function

Lecture 78 Python Zip() Function

Lecture 79 Python Enumerate() Function

Lecture 80 Python All() and Any() Functions

Section 13: Python Advanced Data Structures

Lecture 81 Advanced Numbers

Lecture 82 Advanced Strings (Part 1)

Lecture 83 Advanced Strings (Part 2)

Lecture 84 Advanced Lists

Section 14: Working with Databases in Python

Lecture 85 Introduction to Databases and Creating SQLite Database

Lecture 86 SQLite CREATE TABLE Statement: Creating a Table in SQLite Databases

Lecture 87 SQLite INSERT Statement: Inserting New Rows into a Table

Lecture 88 SQLite SELECT Statement: Reading Data from A Table

Lecture 89 SQLite UPDATE Statement: How to Update Records

Lecture 90 SQLite DELETE Statement: How to Delete Records

Lecture 91 For Your Attention..

Lecture 92 On Production

Section 15: Conclusion

Lecture 93 Converting Your Python Programs to an Runnable (.exe) Files

Lecture 94 Bonus Lecture

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

Course Information:

Udemy | English | 19h 54m | 8.54 GB
Created by: Code Star Academy

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