HOT
blank

Advanced Python for IoT and Machine Learning Mastery

Development

Rating4.6
Enroll Now

Advanced Python for IoT and Machine Learning Mastery, available at $19.99, has an average rating of 4.6, with 47 lectures, based on 178 reviews, and has 40217 subscribers.

You will learn about Package and Module Management: Introduction to managing Python packages and modules, including installation and setup using Anaconda Distribution and PyCharm Networking Fundamentals: Understanding the basics of networking, client-server communication, message passing, and server IP handling. Socket Programming: Exploring socket programming concepts and learning to write client-server code for message communication. ChatBot Application Development: Building a chatbot application from scratch, covering sending and receiving data, working with chatbot servers Database Integration: Integrating databases into Python applications using PyCharm and SQLite, including table creation, data insertion, querying Client Element and Datasets: Indexing client elements, handling client connections, adding email and client name functionality, and analyzing datasets. NumPy Basics: Introduction to NumPy library for numerical computing, covering array creation, slicing, shape manipulation, and basic operations. Advanced NumPy Operations: Exploring advanced NumPy operations such as array manipulation, scalar operations, matrix multiplication, and comparison operations. This course is ideal for individuals who are Anyone who wants to build projects using Python or Students/Professionals interested in electronics and programming or This course is for all levels of Audience, Anybody who is interested in Python or This course is designed for individuals interested in advancing their Python skills, particularly those aiming to specialize in networking, database integration, and numerical computing. It caters to students, professionals, and enthusiasts seeking to expand their knowledge in Python programming for applications in IoT, networking, and data analysis. It is particularly useful for Anyone who wants to build projects using Python or Students/Professionals interested in electronics and programming or This course is for all levels of Audience, Anybody who is interested in Python or This course is designed for individuals interested in advancing their Python skills, particularly those aiming to specialize in networking, database integration, and numerical computing. It caters to students, professionals, and enthusiasts seeking to expand their knowledge in Python programming for applications in IoT, networking, and data analysis.

Enroll now: Advanced Python for IoT and Machine Learning Mastery

Summary

Title: Advanced Python for IoT and Machine Learning Mastery

Price: $19.99

Average Rating: 4.6

Number of Lectures: 47

Number of Published Lectures: 47

Number of Curriculum Items: 47

Number of Published Curriculum Objects: 47

Original Price: $89.99

Quality Status: approved

Status: Live

What You Will Learn

  • Package and Module Management: Introduction to managing Python packages and modules, including installation and setup using Anaconda Distribution and PyCharm
  • Networking Fundamentals: Understanding the basics of networking, client-server communication, message passing, and server IP handling.
  • Socket Programming: Exploring socket programming concepts and learning to write client-server code for message communication.
  • ChatBot Application Development: Building a chatbot application from scratch, covering sending and receiving data, working with chatbot servers
  • Database Integration: Integrating databases into Python applications using PyCharm and SQLite, including table creation, data insertion, querying
  • Client Element and Datasets: Indexing client elements, handling client connections, adding email and client name functionality, and analyzing datasets.
  • NumPy Basics: Introduction to NumPy library for numerical computing, covering array creation, slicing, shape manipulation, and basic operations.
  • Advanced NumPy Operations: Exploring advanced NumPy operations such as array manipulation, scalar operations, matrix multiplication, and comparison operations.

Who Should Attend

  • Anyone who wants to build projects using Python
  • Students/Professionals interested in electronics and programming
  • This course is for all levels of Audience, Anybody who is interested in Python
  • This course is designed for individuals interested in advancing their Python skills, particularly those aiming to specialize in networking, database integration, and numerical computing. It caters to students, professionals, and enthusiasts seeking to expand their knowledge in Python programming for applications in IoT, networking, and data analysis.

Target Audiences

  • Anyone who wants to build projects using Python
  • Students/Professionals interested in electronics and programming
  • This course is for all levels of Audience, Anybody who is interested in Python
  • This course is designed for individuals interested in advancing their Python skills, particularly those aiming to specialize in networking, database integration, and numerical computing. It caters to students, professionals, and enthusiasts seeking to expand their knowledge in Python programming for applications in IoT, networking, and data analysis.

Welcome to the “Python for IoT Applications and Machine Learning” course! In this comprehensive program, we will explore the intersection of Python programming with Internet of Things (IoT) applications and delve into the realm of machine learning. This course is designed to equip you with the essential skills and knowledge required to harness the power of Python for building IoT solutions and implementing machine learning algorithms.

Throughout this course, you will embark on a journey from the basics of Python programming to advanced topics such as socket programming, database integration, and machine learning with libraries like Numpy. Whether you’re a beginner or an experienced Python developer, this course offers something for everyone, guiding you through hands-on projects and practical exercises to reinforce your learning.

By the end of this course, you will have a solid understanding of how Python can be leveraged to develop IoT applications, communicate with devices over networks, and implement machine learning models for data analysis and prediction tasks. Get ready to unlock new possibilities in IoT and machine learning with Python as your tool of choice!

Section 1: Introduction

In this introductory section, students are introduced to the concept of packages and modules in Python. They learn how packages and modules facilitate code organization, reusability, and maintainability. The importance of understanding these concepts lays the foundation for the rest of the course.

Section 2: Installation

This section guides students through the installation process of essential development tools for Python, namely the Anaconda distribution and PyCharm IDE. Anaconda provides a comprehensive Python distribution with pre-installed libraries, while PyCharm offers a powerful integrated development environment for Python programming.

Section 3: Nuts and Bolts

Students delve into the practical aspects of Python programming in this section. They learn how to execute programs using PyCharm, explore various methods of Python lists, and understand the fundamental structures and syntax of Python code.

Section 4: Networking and Networking Concepts

This section introduces students to fundamental networking concepts in the context of client-server architecture. They gain insights into message communication between clients and servers, understand the handling of server IP addresses, and grasp the essentials of networking protocols.

Section 5: Socket Programming

Students learn about socket programming, a key aspect of network communication in Python. They understand the programming aspects of creating and managing network sockets, writing client and server code, and leveraging Python packages for implementing multithreading.

Section 6: ChatBot App

In this section, students embark on a practical project to develop a ChatBot application. They learn how to send and receive messages between clients and servers, implement the necessary logic for ChatBot responses, and manage client-server communication effectively.

Section 7: Database and Chat App

Students explore the integration of databases into their ChatBot application. They learn about database management using PyCharm, understand SQL commands for creating and manipulating tables, and implement database queries to retrieve and analyze data.

Section 8: Client Element and Datasets

This section focuses on analyzing datasets and working with client elements in the ChatBot application. Students learn about indexing client elements, establishing connections between clients and servers, and performing data analysis tasks such as temperature conversion.

Section 9: Numpy

Students are introduced to the Numpy library, which is widely used for numerical computing in Python. They learn about the advantages of using Numpy arrays over Python lists and explore basic operations and functionalities provided by the library.

Section 10: Numpy Arrays

In this advanced section, students delve deeper into Numpy arrays and their manipulation techniques. They learn how to create arrays of different dimensions, perform slicing operations, and apply various mathematical operations such as matrix multiplication and element-wise comparison.

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction to Packages and Modules

Chapter 2: Installation

Lecture 1: Concept of Anaconda Distribution

Lecture 2: Installation of PyCharm

Chapter 3: Nuts and Bolts

Lecture 1: Executing Programs in PyCharm

Lecture 2: Methods of the List

Lecture 3: Learning the Bolt Structure

Chapter 4: Networking and Networking Concepts

Lecture 1: Networking Aspect of Client Server

Lecture 2: Mesaage Communication of Client and Server

Lecture 3: Server IP from Client to Server

Chapter 5: Socket Programming

Lecture 1: Programming Aspect of Networking

Lecture 2: Writing the Client and Server Code

Lecture 3: Socket Programming for Server

Lecture 4: Python Package for Multithreading

Chapter 6: ChatBot App

Lecture 1: Working with Chat Bot

Lecture 2: Sending and Receiving Data

Lecture 3: Working on Chat Bot Server

Lecture 4: Creating and Importing Client Socket

Lecture 5: Creating Message for Client

Lecture 6: Learning to Create a Chat App

Chapter 7: Database and Chat App

Lecture 1: Pycharm Databases and Sqlite

Lecture 2: Commands for Creating a Table

Lecture 3: Inserting Values in Table

Lecture 4: Connecting Between Database and Python Code

Lecture 5: Query from Database

Lecture 6: Making changes in Chat App

Lecture 7: Decoding the Client info

Chapter 8: Client Element and Datasets

Lecture 1: Indexing the Client Element

Lecture 2: Connection from Client at Address

Lecture 3: Adding Email and Client Name

Lecture 4: Analyzing the Data Sets

Lecture 5: Coding for Converting Tempratures

Lecture 6: Converting Temperature using List comprehension

Chapter 9: Numpy

Lecture 1: Introduction to Numpy

Lecture 2: Size of List

Lecture 3: Memory Consumed By Ndarray

Lecture 4: Python List and Numpy Arrays

Chapter 10: Numpy Arrays

Lecture 1: Creating Numpy Arrays

Lecture 2: Different Dimensional Array in Numpy

Lecture 3: Shape of an Array

Lecture 4: Slicing

Lecture 5: Slicing Continue

Lecture 6: Arrays of Ones and Zeros

Lecture 7: Numpy Example

Lecture 8: Numpy Example Continue

Lecture 9: Using Scalers with Numpy Arrays

Lecture 10: Matrix Multiplication

Lecture 11: Comparison Operations

Instructors

Rating Distribution

  • 1 stars: 14 votes
  • 2 stars: 12 votes
  • 3 stars: 33 votes
  • 4 stars: 71 votes
  • 5 stars: 48 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!

You may also like

Top 10 Ethical AI Courses to Learn in November 2024

Top 10 Game Development Courses to Learn in November 2024

Top 10 Software Testing Courses to Learn in November 2024