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Python Essentials Crash Course
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Python Essentials Crash Course
Published 9/2023
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 2.06 GB | Duration: 4h 46m
Python 3 Programming for Everyone

What you'll learn

Python Syntax

Python Comments

Python Variables

Python Data Types

Python Numbers

Python Type Casting

Python Strings

Python Booleans

Python Operators

Python Lists

Python Tuples

Python Sets

Python Dictionaries

Python If.Else Statements

Python While Loops

Python For Loops

Python Functions

Python Lambda Functions

Python Arrays

Python Classes / Objects

Python Inheritance

Python Iterators

Python Polymorphism

Python Scope (Global & Local)

Python Modules

Python Dates

Python Math

Python Try.Except Statements

Python User Input

Python String Formatting

Requirements

No programming experience is necessary. You will learn the foundational essentials of the Python 3 programming language.

Description

This course is for anyone who want to learn Python 3 in a simple and fully interactive manner. From the start to the end of this course you will be learning hands on with Jupyter Notebooks and Python 3 code getting hands on experience immediately, which is the best way to retain learning programming language concepts.After taking this course, you will have all the building blocks to begin to write your own Python scripts and programs, web development using Django, networking automation task with Python on Cisco Network Devices, Data Science tasks using tools like Pandas and much more. This course will also prepare students for Python Certification for the beginners level. This is also a great course for those who would like to change careers to become a programmer, because Python is an excellent foundation to start learning the fundamentals of software development structure, which is shared with other programming languages.The following topics are covered:Python Installation (Windows and Mac)Jupyter Lab/Notebook Installation (Windows and Mac)Python SyntaxCommentsVariablesPython Data TypesNumbersPython CastingStringsBooleansPython OperatorsListsTuplesSetsDictionariesIf.Else StatementsWhile LoopsFor LoopsFunctionsLambda FunctionsPython ArraysPython Classes / ObjectsInheritanceIteratorsPolymorphismScopes (Global & Local)ModulesDatesMathTry.Except StatementsUser InputString Formatting

Overview

Section 1: Introduction

Lecture 1 Introduction

Section 2: Python Syntax

Lecture 2 Python Syntax

Section 3: Comments

Lecture 3 Python Comments

Section 4: Variables

Lecture 4 Python Variables

Section 5: Data Types

Lecture 5 Python Data Types

Section 6: Numbers

Lecture 6 Python Numbers

Section 7: Casting

Lecture 7 Python Casting

Section 8: Strings

Lecture 8 Python Strings

Section 9: Booleans

Lecture 9 Python Booleans

Section 10: Operators

Lecture 10 Python Operators

Section 11: Lists

Lecture 11 Python Lists

Section 12: Tuples

Lecture 12 Python Tuples

Section 13: Sets

Lecture 13 Python Sets

Section 14: Dictionaries

Lecture 14 Python Dictionaries

Section 15: If..Else Statements

Lecture 15 Python If-Else Statements

Section 16: While Loops

Lecture 16 Python While Loops

Section 17: For Loops

Lecture 17 Python For Loops

Section 18: Functions

Lecture 18 Python Functions

Section 19: Lambda

Lecture 19 Python Lambda

Section 20: Arrays

Lecture 20 Python Arrays

Section 21: Classes / Objects

Lecture 21 Python Classes / Objects

Section 22: Inheritance

Lecture 22 Python Inheritance

Section 23: Iterators

Lecture 23 Python Iterators

Section 24: Polymorphism

Lecture 24 Python Polymorphism

Section 25: Scope

Lecture 25 Python Scope

Section 26: Modules

Lecture 26 Python Modules

Section 27: Dates

Lecture 27 Python Date/Time

Section 28: Math

Lecture 28 Python Math

Section 29: Try.Except Statements

Lecture 29 Python Try.Except Statements

Section 30: User Input

Lecture 30 Python User Input

Section 31: String Formatting

Lecture 31 Python String Formatting

Section 32: Where to Go from Here?

Lecture 32 Where to Go From Here?

Anyone who want to learn the foundational aspects of the programming language to write their own programs, scripting task to automate redundant IT job functions, data science or data scrubbing of excel spreadsheet using tools like Pandas, web development using Django, network automation tasks, or anyone looking to change careers to become a software programmer of developer.

Python Essentials Crash Course (2.06 GB)

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