The Ultimate Guide to Python Programming With Python 3.10
The Ultimate Guide to Python Programming With Python 3.10, available at $64.99, has an average rating of 4.45, with 195 lectures, 112 quizzes, based on 82 reviews, and has 7141 subscribers.
You will learn about 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 This course is ideal for individuals who are Complete newbies who wants to learn to program or Beginner python developers seeking expertise in python programming It is particularly useful for Complete newbies who wants to learn to program or Beginner python developers seeking expertise in python programming.
Enroll now: The Ultimate Guide to Python Programming With Python 3.10
Summary
Title: The Ultimate Guide to Python Programming With Python 3.10
Price: $64.99
Average Rating: 4.45
Number of Lectures: 195
Number of Quizzes: 112
Number of Published Lectures: 195
Number of Published Quizzes: 112
Number of Curriculum Items: 307
Number of Published Curriculum Objects: 307
Number of Practice Tests: 1
Number of Published Practice Tests: 1
Original Price: $44.99
Quality Status: approved
Status: Live
What You Will 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
Who Should Attend
- Complete newbies who wants to learn to program
- Beginner python developers seeking expertise in python programming
Target Audiences
- Complete newbies who wants to learn to program
- Beginner python developers seeking expertise in python programming
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 can easily handle any programming project. You’ll be able to use core python features and its hidden secrets to develop consistent and efficient 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 –
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Level 1 [ Geek ]
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Computers architecture
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Bits & Bytes of Data
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What is Programming
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Terminal
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Level 2 [ Newbie ]
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Python Installation & Setup
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Hands-on Programming With Python
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Basics of Python, etc.
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Client-Info Application
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Console IO
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Level 3 [ Coder ]–
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Data Types
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Decision Control
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Loops
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Functions
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Classes & Objects
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Error Handling
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Modules & Packages
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PranksterProject
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Level 4 [ Wizard ] –
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String Formatting
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Stack & Queue Data Structures
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Shallow & Deep Copies
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Packing & Unpacking Operators
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Structural Pattern Matching
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pip – python package manager
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Virtual Environments
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List Comprehensions
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Iterables & Generators
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Function Decorators
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Object-Oriented Programming
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Singletons
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Special Methods
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Operator Overloading
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Iterable Classes
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property
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Class __slots__
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dataclass
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Metaclass
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Type Hinting
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File IO
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Threading & Multiprocessing
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Debugging
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Tkinter GUI
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Sedentary Alert Application
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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!
Course Curriculum
Chapter 1: Introduction
Lecture 1: Curriculum Overview
Lecture 2: How to Program Fast and Efficiently?
Chapter 2: Generic Programming
Lecture 1: Computer Architecture and Data Structures
Lecture 2: Programming Language
Lecture 3: Terminal
Lecture 4: Navigation With Terminal
Lecture 5: Exercise: Creating Backup
Lecture 6: File Operations With Terminal
Lecture 7: Internet
Lecture 8: Community
Chapter 3: Programming With Python
Lecture 1: Setting-up Python in Our System
Lecture 2: Python Syntax and Expressions
Lecture 3: Python Data Types
Lecture 4: Console IO
Lecture 5: if-else Statements
Lecture 6: def Keyword
Chapter 4: The Container – Variables
Lecture 1: Python Variables
Chapter 5: Strings
Lecture 1: The str Data Type
Lecture 2: String Operations
Lecture 3: String Methods
Chapter 6: Numbers
Lecture 1: Numerical Data Types
Lecture 2: Numerical Operations
Chapter 7: Booleans
Lecture 1: True or False values
Chapter 8: Lists
Lecture 1: The list Data Type
Lecture 2: List Operations
Chapter 9: Tuples
Lecture 1: Immutable Lists – tuple
Chapter 10: Sets
Lecture 1: Unordered Lists – set
Lecture 2: Set Operations
Chapter 11: Dictionary
Lecture 1: The dict Data Type
Lecture 2: Dictionary Operations
Chapter 12: Decision Control
Lecture 1: elif Statements
Lecture 2: Comparison Operators
Lecture 3: Joining Conditions Using and Keyword
Lecture 4: Joining Conditions Using or Keyword
Lecture 5: Conditional Operators
Lecture 6: Ternary Operators
Instructors
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Rahul Mula
Developer
Rating Distribution
- 1 stars: 1 votes
- 2 stars: 3 votes
- 3 stars: 6 votes
- 4 stars: 28 votes
- 5 stars: 44 votes
Frequently Asked Questions
How long do I have access to the course materials?
You can view and review the lecture materials indefinitely, like an on-demand channel.
Can I take my courses with me wherever I go?
Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!
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