Learn Pro Advanced Python Programming from Udemy

What's inside

Learning objectives

Advance level programming in python
Make real time advance applications using advance level concepts
Make machine learning models

Use machine learning models to make real time applications
Learn the mathematics behind machine learning models

Advance level programming in python
Make real time advance applications using advance level concepts
Make machine learning models
Use machine learning models to make real time applications
Learn the mathematics behind machine learning models

Syllabus

Python Comprehension

Section Overview

Introduction to Comprehension

List Comprehension Part-1

List Comprehension Part-2

List Comprehension vs Lambda Function

Parsing a File Using List Comprehension

Accessing Function using List Comprehension

Dictionary Comprehension

Set Comprehension

Generator Comprehension

Descriptors in Python

Intro to Linked Lists

Introduction to Descriptors

Invoking Descriptors

Purpose of Descriptors Part-1

Purpose of Descriptors Part-2

Creating Descriptors using Property

Creating Descriptors using Class

Creating Descriptors using @

Uses of Descriptors

Linked List in Python

Singly and Doubly Linked List

Create and Traverse - Singly Linked List

Insertion - Singly Linked List

Deletion - Singly Linked List

Creating - Doubly Linked List

Insertion - Doubly Linked List

Appending - Doubly Linked List

Deletion - Doubly Linked List

OpenCV - Image/Video Processing in Python

Installing the OpenCV Module

Showing the Image

Keyboard Events in OpenCV

Drawing Different Shapes on Images

Capturing Video with OpenCV

Writing the Video

Different Video Properties

Events

Implementing Mouse Events

Image Thresh holding

Object Detection with OpenCV

Generators in Python

Understanding Generators

Creating Generator - Part-1

Creating Generator - Part-2

Generator - Example

Managing Files in Python

Introduction to File Handling

Creating a Text File

Modes in Files

Modes for other File Types

Reading from a Text File

Renaming a Text File

Writing to a Text File

Saving Data to a File

Appending to a File

Closing a File

Deleting a File

With Statement

Saving Dictionary to a File

Magic Functions in Python

Introduction to Magic Methods

Various Magic Methods

Magic Methods based on Object Usefulness

Initialization and Construction

Unary Operators - Magic Methods

Strings - Magic Methods

Operators - Magic Methods

Augmented Assignment Operator

Magic Methods for Binary Operators

Thread Programming in Python

Concurrency vs Parallelism

Multiprocessing vs Multi-Threading

Introduction to Thread

The Threading Module

Creating a Thread

Determining the Current Thread

Daemon vs non_Daemon

Enumerating Threads

The Arcade Module

Introduction to Arcade Module

Sad Images - Arcade Module

Still Images - Arcade Module

Auto Timer - Arcade Module

Auto Snow - Arcade Module

Auto Radar - Arcade Module

User Controlled Moving Object - Arcade Module

PDF Audio Reader Application

PDF Audio Reader Application Part-1

PDF Audio Reader Application Part-2

PDF Audio Reader Application Part-3

PDF Audio Reader Application Part-4

PDF Audio Reader Application Part-5

PDF Audio Reader Application Part-6

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Covers advanced Python concepts like descriptors, linked lists, and generators, which are essential for building complex applications and libraries

Includes a section on machine learning in Python, covering the mathematics behind models and their real-world applications, which is crucial for a deeper understanding

Explores OpenCV for image and video processing, enabling developers to create applications involving computer vision and multimedia, which is a valuable skill

Discusses thread programming in Python, including concurrency, parallelism, and the threading module, which is important for optimizing performance in I/O-bound applications

Features the Arcade module for creating games and interactive applications, which can be useful for developers interested in game development or visual simulations

Teaches magic functions in Python, which allows developers to customize object behavior and create more expressive and Pythonic code, which is useful for advanced applications

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Learn Pro Advanced Python Programming with these activities:

Review Basic Python Syntax

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Reinforce your understanding of fundamental Python syntax, data structures, and control flow to prepare for advanced concepts.

Browse courses on Python Syntax

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Review Python data types and operators.
Practice writing basic Python functions.
Complete online Python tutorials.

Review 'Fluent Python'

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Deepen your understanding of advanced Python concepts and best practices by studying a comprehensive guide.

View Fluent Python: Clear, Concise, and Effective... on Amazon

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Read selected chapters related to course topics.
Experiment with code examples from the book.
Apply learned concepts to course assignments.

Implement Linked Lists and Descriptors

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Solidify your understanding of linked lists and descriptors through hands-on coding exercises.

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Implement singly and doubly linked lists.
Create custom descriptors for class attributes.
Test your implementations thoroughly.

Four other activities

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Create a Blog Post on Python Generators

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Reinforce your understanding of Python generators by explaining the concept in a blog post.

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Research Python generators thoroughly.
Write a clear and concise blog post.
Include code examples and explanations.

Build a Simple Image Processing Application

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Apply your OpenCV knowledge by developing a practical image processing application.

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Choose a specific image processing task.
Implement the application using OpenCV.
Test and refine your application.

Review 'Python Cookbook'

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Explore practical solutions to common Python programming problems and expand your knowledge of advanced techniques.

View Python Cookbook: Recipes for Mastering Python 3 on Amazon

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Browse the book for relevant recipes.
Adapt recipes to solve your own problems.
Experiment with different approaches.

Contribute to an Open Source Python Project

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Gain real-world experience by contributing to an open-source Python project.

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Find an open-source project that interests you.
Identify a bug or feature to work on.
Submit a pull request with your changes.

Career center

Learners who complete Learn Pro Advanced Python Programming will develop knowledge and skills that may be useful to these careers:

Python Developer

A Python developer specializes in using Python to develop various applications and systems. They require a deep understanding of Python's advanced features and libraries. This course, which emphasizes advanced Python concepts like descriptors, linked lists, file management, and multithreading, provides the necessary skills for this role. The course's focus on creating real-time applications using these concepts is highly relevant. A Python developer can use this advanced training to build complex and robust systems.

See salaries and explore the career path for Python Developer

Software Engineer

A software engineer designs, develops, and maintains software systems. This role demands a deep understanding of programming concepts, algorithms, and data structures. This course, with its focus on advanced Python programming, including topics like descriptors, linked lists, and file management, helps build a foundation to tackle complex software development challenges. The course's coverage of real-time applications and machine learning also aligns with modern software development trends, making it highly relevant for aspiring software engineers. The practical applications covered in the course will be particularly helpful.

See salaries and explore the career path for Software Engineer

Machine Learning Engineer

A machine learning engineer develops and implements machine learning models and algorithms. This role often involves a deep understanding of the mathematical foundations of machine learning and the practical skills to create real-world applications. This course helps prepare for this role. It covers the mathematics behind machine learning models and includes building real-time applications using these models, which is highly relevant. The course also emphasizes core concepts needed for machine learning, giving learners the foundation they need to succeed as a machine learning engineer.

See salaries and explore the career path for Machine Learning Engineer

Data Scientist

A data scientist analyzes large datasets to extract insights and build predictive models. They also need a strong background in programming languages, especially Python, to manipulate and analyze data. This course, with its focus on advanced Python techniques and machine learning, provides essential knowledge for this role. The course’s exploration of machine learning algorithms and their mathematical underpinnings, as well as creating real time applications, will be particularly useful for a data scientist. The course may help build a strong foundation in computational methods.

See salaries and explore the career path for Data Scientist

Artificial Intelligence Engineer

An artificial intelligence engineer works on designing, developing, and implementing AI systems. The role requires a strong understanding of algorithms, programming, and machine learning. This course may be highly useful for those aspiring to this role. It includes in-depth coverage of machine learning models and their mathematical foundations as well as real time applications. The course's emphasis on practical implementation will be particularly valuable for aspiring artificial intelligence engineers.

See salaries and explore the career path for Artificial Intelligence Engineer

Computer Vision Engineer

A computer vision engineer works on systems that enable computers to 'see' and interpret images and videos. This role requires a strong foundation in image processing, video analysis, and machine learning. This course will be helpful, considering its coverage of OpenCV for image and video processing, as well as machine learning techniques. The course’s exploration of object detection with OpenCV can be directly applied to computer vision tasks. The practical hands-on work implementing video recognition will be valuable to a Computer Vision Engineer.

See salaries and explore the career path for Computer Vision Engineer

Algorithm Developer

An algorithm developer designs and implements new algorithms and optimizes existing ones. They require a deep understanding of data structures, algorithm design principles, and programming. This course may be helpful because it includes coverage of linked lists and advanced programming concepts in Python, which are essential for this role. The course's focus on real-time applications is also useful, as algorithms are often implemented in systems that require performance and efficiency. An Algorithm Developer can use the course material to build complex programs.

See salaries and explore the career path for Algorithm Developer

Game Developer

Game developers create video games. This can encompass programming, design, and testing. A game developer should have strong programming skills and be able to work in game engines or create game engines. This course may be useful for a game developer. The course's coverage of the Arcade module for graphics and user interfaces will provide a foundation in game development. The advanced concepts covered provide a better platform for a game developer than basic programming techniques.

See salaries and explore the career path for Game Developer

Backend Developer

A backend developer builds and maintains the server-side of applications, focusing on databases, server logic, and APIs. A backend developer requires strong programming skills, and must be able to work with complex data structures and algorithms. This course may be helpful, as it covers advanced concepts in Python such as file management, multithreading, and data structures like linked lists. The course’s focus on crafting real-time applications will be useful to a backend developer. Complex projects will benefit from an advanced skillset.

See salaries and explore the career path for Backend Developer

Robotics Engineer

A robotics engineer designs, builds and tests robots and robotic systems. This role requires a strong background in programming, mathematics, and engineering principles. This course may be helpful as it may provide a solid foundation in core programming principles that are necessary to controlling complex mechanical systems. The advanced Python concepts, including real-time applications covered in this course will be valuable in this role. A course on programming is a must for robotics engineers.

See salaries and explore the career path for Robotics Engineer

Research Scientist

A research scientist conducts research in a specific field, often involving data analysis and the development of new algorithms and techniques. A research scientist often holds an advanced degree. This course may be helpful as it includes advanced programming concepts, machine learning and its mathematical foundations. The course’s emphasis on practical application is also valuable for research scientists who need to turn theoretical ideas into concrete solutions. Research in machine learning may benefit from this course.

See salaries and explore the career path for Research Scientist

Quantitative Analyst

A quantitative analyst is a professional that uses mathematical and statistical methods to analyze financial markets. The role often requires a background in programming to implement numerical models and analyze financial data. This course may be useful, as it provides advanced programming capabilities in Python that are often used in this field. Also the course’s emphasis on creating real time applications may be valuable to a quantitative analyst. A quantitative analyst will need to have advanced mathematical and computer skills.

See salaries and explore the career path for Quantitative Analyst

Technical Consultant

A technical consultant provides expertise on technology solutions to clients. This role requires a good understanding of programming and technology trends. This course may be useful, as it is an advanced programming course that covers a range of topics that are relevant to modern software development, including machine learning and real-time applications. A technical consultant must have real-world experience, and the course’s emphasis on practical implementation of its topics may bring that experience. This course may give the consultant a better understanding of emerging tech.

See salaries and explore the career path for Technical Consultant

Scientific Programmer

A scientific programmer develops and maintains software tools for scientific research. This role requires a strong background in programming as well as familiarity with scientific principles. This course may be useful because it covers important techniques in Python programming, including file management and real-time application development. The course’s focus on practical implementation may be useful for a scientific programmer. Scientific programmers may benefit from this advanced programming course.

See salaries and explore the career path for Scientific Programmer

Data Analyst

A data analyst collects, processes, and performs statistical analysis on data. This role usually requires strong programming skills to manipulate data and extract insights. This course may be helpful as it provides advanced programming skills in Python, that are needed to manage data. The course may offer valuable practical experience that would benefit a data analyst. This course may build a foundation in Python that is often used in data analysis.

See salaries and explore the career path for Data Analyst

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