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Python Essentials Crash Course - Farid - 09-08-2023
![[Image: w43Ywy.t48n6ijrd7ka.jpg]](https://i.im.ge/2023/09/08/w43Ywy.t48n6ijrd7ka.jpg)
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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