The Ultimate Guide to Python Programming With Python 3.10

The Ultimate Guide to Python Programming With Python 3.10

The Ultimate Guide to Python Programming With Python 3.10

Learn python programming from the Head-to-Tail, starting from the Bare Bones to Developing Real Applications with python

Language: english

Note: 4.5/5 (35 notes) 3,501 students

Instructor(s): Rahul Mula

Last update: 2022-06-07

What you’ll learn

  • Define Computer Architecture, Data Structures and Generic Programming Concepts
  • Use Terminal to Navigate and Perform Basic File Operations
  • Fundamental Programming and Implement Basic Data Structures With Python
  • Use Structural Pattern Matching With match-case Statements in Python 3.10
  • Create Different Array Data Structures like Lists, Tuples, Sets, Typed Arrays, Stacks, Queues and Priority Queues
  • Use Python REPL to Write Python Code From the Terminal and Test Ideas Easily.
  • Define Functions, Generator Functions and Decorator Functions.
  • Use Third-Party Packages and Create Virtual Environments for Projects.
  • Object-Oriented Programming With Python Classes and Objects
  • Reading and Writing Files And JSON Data With Python
  • Debug and Write Consistent and Efficient Python Programs

 

Requirements

  • Switching Computer On

 

Description

Welcome to this python programming course for beginners where you’ll become a Python Wizard! (python wizard is someone who can handle any problem like a boss and use the keyboard like a piano~ )


After completing this course you will be able to easily handle any programming project. You’ll be able to use core python features along with its hidden secrets to developing consistent and efficient python programs. You’ll also learn about the often forgotten basics and special features of programming and python in general.


The course can be divided into four broad levels –

  • Level 1 [ Geek ]

    • Computers architecture

    • Bits & Bytes of Data

    • What is Programming

    • Terminal

  • Level 2 [ Newbie ]

    • Python Installation & Setup

    • Hands-on Programming With Python

    • Basics of Python, etc.

    • Client-Info Application

    • Console IO

  • Level 3 [ Coder ]

    • Data Types

    • Decision Control

    • Loops

    • Functions

    • Classes & Objects

    • Error Handling

    • Modules & Packages

    • Prankster Project

  • Level 4 [ Wizard ]

    • String Formatting

    • Stack & Queue Data Structures

    • Shallow & Deep Copies

    • Packing & Unpacking Operators

    • Structural Pattern Matching

    • pip – python package manager

    • Virtual Environments

    • List Comprehensions

    • Iterables & Generators

    • Function [email protected]

    • Object-Oriented Programming

      • Singletons

      • Special Methods

      • Operator Overloading

      • Iterable Classes

      • @property

      • Class __slots__

      • @dataclass

    • Metaclass

    • Type Hinting

    • File IO

    • Threading & Multiprocessing

    • Debugging

    • Tkinter GUI

    • Sedentary Alert Application


Each level takes you a step further to python mastery!

If you have some skills with python then you’re most welcome to brush up your skills and advance to the next level. Or even if you can use a computer only, that’s completely fine! We will start from the complete basics of general programming and become an expert in python programming. So you can gain something new as well!


Join me with the thousands of students who have started their programming journey because

CODERS ARE THE MORDERN WIZRADS!

 

Who this course is for

  • Complete newbies who wants to learn to program
  • Beginner python developers seeking expertise in python programming

 

Course content

  • Introduction
    • Curriculum Overview
    • How to Program Fast and Efficiently?
  • Generic Programming
    • Computer Architecture and Data Structures
    • Computers And Data
    • Programming Language
    • Programming Languages
    • Terminal
    • Navigation With Terminal
    • Exercise: Creating Backup
    • File Operations With Terminal
    • File Operation Commands
    • Terminal Commands
    • Internet
    • Community
  • Programming With Python
    • Setting-up Python in Our System
    • Python Syntax and Expressions
    • Python Basics
    • Printing Values On The Terminal
    • Python Syntax
    • Python Data Types
    • Python Data Types
    • Creating variables
    • Creating Lists
    • Creating Dictionaries
    • Console IO
    • Getting Input and Sending Output
    • Dictionary Slicing
    • if-else Statements
    • If-else Statements
    • if Statements
    • def Keyword
    • def Keyword
    • Defining Functions
    • Calling Functions
    • Newbie Programmer
  • The Container – Variables
    • Python Variables
    • Declaring Variables
    • Variables
    • Changing Variable Values
    • Invalid Variable Names
    • Casing Methods
  • Strings
    • The str Data Type
    • Escaping Errors
    • Multi-line strings
    • String Operations
    • String Slicing Syntax 1
    • String Slicing Syntax 2
    • String Methods
    • Greet User
  • Numbers
    • Numerical Data Types
    • Find the remainder
    • Numerical Operations
    • Finding Square Root
    • Mathematical Operations
    • Finding the cube
  • Booleans
    • True or False values
    • Booleans
    • True Values
  • Lists
    • The list Data Type
    • Creating Lists
    • Extracting List Elements
    • List Operations
    • List Methods
    • Extending a list
  • Tuples
    • Immutable Lists – tuple
    • Tuples
    • Tuple Conversion
  • Sets
    • Unordered Lists – set
    • Creating Sets
    • Set Operations
    • Set Methods
    • Set Mathematical Operations
  • Dictionary
    • The dict Data Type
    • Dictionary
    • Dictionary Operations
    • Dictionary Methods
    • Extending a dictionary
    • Finding The Amount
  • Decision Control
    • elif Statements
    • Checking Two or More Conditions
    • Comparison Operators
    • Joining Conditions Using and Keyword
    • Joining Conditions Using or Keyword
    • Calculate Salary
    • Conditional Operators
    • Membership Check
    • Ternary Operators
    • One Line If Statements
  • Match Case Statements
    • Using Python Match Case Statements And Match Default Case
    • Replacing Elif Statements
    • Match Case Statements
  • While Loops
    • while Statements
    • Looping an instruction
    • fire( ) rounds argument
    • The break Keyword
    • The continue Keyword
    • Control While Loop’s Flow
  • For Loops
    • Iterating Over Sequence Data Types
    • Finding the total
  • Functions
    • Upgrading Our print( )
    • Optional Arguments or Parameters
    • Keyword Arguments
    • Arbitrary Positional Arguments – *args
    • print( )’s Arguments
    • log(padding) argument
    • Arbitrary Keyword Arguments
    • Function Arguments
    • The return Keyword
    • lambda Functions
    • Find the root of a number
    • Find the Perfect Square
    • Finding Negative Number
  • Classes
    • Class and Objects
    • Object Attributes
    • Methods or Object Functions
    • Creating Class
  • Inheritance
    • Inheriting Classes
    • The Cart Class
  • Error Handling
    • Handling Errors With try & except Statements
    • Custom Error Classes
    • Fix the Error: 1
    • Fix the Error: 2
    • Fix the Error: 3
  • Modules & Packages
    • Re-using Code With Modules
    • Importing Modules
    • Organizing Modules Into Packages
  • Project: Prankster
    • Prankster Program
    • Rigging-up The Prankster
  • VS Code
    • VS Code Settings and Themes
  • Revisiting Strings
    • Use of slashes in strings
    • Percent String Substitution
    • string .format( ) method
    • Formatted Strings or f String
    • String Formatting
    • String Format Specifiers
    • Text Alignment Format Specifier
    • String Formatting With Format Spec
    • Multiplication Table
  • Arrays
    • Empty and One Element Arrays
    • One Element Tuple
    • Slicing With Steps
    • Reverse an Array
    • .sort(key) – Sorting Arrays of Class Objects
    • Sorting Arrays With Non-Numerical Data
    • The array Data Type
    • Stack Data Structure
    • Queue Data Structure
    • Collections Module
    • Quick Analysis With Count Class
  • Revisiting Dictionary
    • Dictionaries or Hash-tables
    • Dictionary Keys are Hashable
    • MappingProxyType
    • SimpleNamespace
    • namedtuple Class
    • Class Creation
    • .items( ) method
    • Shopping List
  • Iterators & Generators
    • List Comprehension
    • Comprehension Statements
    • if Statements in List Comprehension
    • List With Multiples of 5
    • Set and Dictionary Comprehensions
    • Flattening Lists
    • Generators
    • Chaining Generators
    • Generating Perfect Squares
    • Sorting Even & Odd Numbers
    • enumerate( ) function
    • zip( ) function
    • zip_longest( ) function
    • all( ) function
    • any( ) function
    • Removing Duplicates
    • Printing Result
  • itertools Module
    • count( )
    • cycle( )
    • repeat( )
    • combinations( )
    • permutations( )
    • product( )
    • combinations_with_replacement( )
    • chain( )
    • islice( )
    • compress( )
    • filter( )
    • filterfalse( )
    • accumulate( )
    • groupby( )
  • High Level Ops
    • is Operator
    • Shallow and Deep Copies
    • Creating Copies
    • Tuple Unpacking
    • Swap Value
    • Dictionary Unpacking
    • Unpacking Lists
    • Tuple Packing
    • Arguments Unpacking
    • Packing or Unpacking?
    • Walrus := Operator
    • Pipe | Operator
    • Dictionary Updating
    • Variable Scope
    • Python REPL
  • Structural Pattern Matching
    • Pipe Operator in Case Statements
    • Pattern Matching
    • Pipe Operator in Patterns
    • if Statements in Case Statements
    • Packing Operator in Case Statements
    • Match Dictionary
    • Match Object
  • Functional Programming
    • Function Attributes
    • Pointer or Actual Name
    • Recursive Functions
    • Factorial Of Numbers
    • Decorator Functions
    • Creating [email protected] Functions
    • functools.partial( )
    • Multiplier Functions
    • @wraps decorator
    • Finding Prime Numbers
  • Modules
    • Module Attributes
    • __main__ module
    • Writing Modules
    • pip – Package Installer for Python
    • venv – Virtual Environments
  • Type Hinting
    • Hinting Data Types
    • Type Hint Function Arguments And Return Type
    • Type Hinting
  • Object Oriented Programming
    • object( )
    • Naming Conventions
    • Protected Variable Names
    • Private Variables
    • Class Variables and Instance Variables
    • __new__( ) method
    • Singleton
    • Course Class
    • Course created Class Variable
    • Operator Overloading
    • Iterable Classes
    • Convert Course To Iterable
    • Casting Type
    • Class __repr__
    • Course Class Representation
    • getattr( ) & setattr( )
    • getattr( ) Use Case
    • Sorting Course Class
    • __getitem__( ) & __setitem__( )
    • Accessing Course Students
    • @property decorator
    • Class Properties
    • Property setter and deleter
    • Class __slots__
    • Student Class
    • @dataclass decorator
    • Data Classes
    • Python Enums
    • Sentinels
    • @classmethod decorator
    • @staticmethod decorator
    • Course class’s created courses
  • Metaclass
    • Type of a Class
    • Creating Class With type( )
    • Metaclass
    • ABCMeta
  • File IO
    • open( ) file
    • Opening Text Files
    • Reading File
    • Reading Lines From Text Data
    • Writing File
    • Writing File Data
  • Data Preservation
    • State of Data
    • JSON Data
    • Extracting Data From Files
    • JSON as string
    • Reading JSON From Text File
  • Debugging
    • Bare except Statements
    • Fix the Error
    • Custom Exception ExitPhonebook( )
    • assert Statements
    • Asserting Tests
    • logging Module
  • Threading & Multi-processing
    • What is threading & multiprocessing?
    • threading Module
    • Thread With Arguments
    • ThreadPoolExecutor
    • Process Class
    • ProcessPoolExecutor
  • Tkinter
    • tkinter Module
    • Label and Button Widgets
    • Grid Layout
    • Entry Widget
    • .grid(columnspan) argument
    • OptionMenu Widget
    • ttk – Themed Widgets
  • Project: Sedentary Alert
    • Introduction
    • Project Setup
    • Interface: Root Window
    • Interface: Checkbutton
    • Interface: Dropdown
    • Loading JSON Data
    • Updating JSON Data
    • Notification (For Windows)
    • Notification (For Mac)
    • Sending Alerts
    • Threading
    • Application Executable
    • Bonus Lecture

 

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