Learn Advanced Python Concepts from Udemy

In this course, I am going to assume that you have learned the basics of Python and are looking to become a professional professional programmer by learning Advance Level Programming in Python. By Learning just the basics concepts of Python, you can't make Real time applications therefor, I have covered most of the Advance Level Concepts in depth in this course. As grabbing the main concept behind Advance Topics is not simple therefor, special attention is given to the intuition part of each concept where we gonna understand these concepts with proper animated slides.

Also not only understanding these advance concepts are important but to make something real out of it is very important or else there is no reason to learn Advance Programming therefor we will also make real time Advance level Applications in Python using Advance level concepts. We will also learn Machine Learning in Python in depth by covering the Mathematics behind each model as well. Also we will use these Machine Learning Models to make something real out of it.

I believe that after taking this course, you gonna feel much more satisfied and comfortable with your programming skill in Python as you will then be a professional programmer who is capable to give any job interview.. Also after taking this course, learning any Advance Level concept in any other language will be 10x more simpler.

I wish you very best for the Course.

What's inside

Learning objectives

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

The intuition behind each advanced python concepts

Advance level programming in python
Make real time advance applications using advance level concepts
The intuition behind each advanced python concepts

Syllabus

Introduction

Pygame is a module in python that is used for game development. Students in this section will learn about that module

Introduction to Pygame

Traffic lights

Read about what's good

what should give you pause

and possible dealbreakers

Covers Pygame, which allows developers to create games and interactive applications using Python, potentially expanding their skill set

Explores Seaborn, a data visualization library, which is useful for presenting data insights effectively in reports and dashboards

Includes a section on databases in Python, which is essential for building data-driven applications and managing persistent data

Features 'magic methods,' which are used to implement operator overloading and customize class behavior, potentially leading to more expressive code

Includes coverage of the 'Arcade' module, which is designed for creating 2D games with a focus on simplicity and ease of use

Requires prior knowledge of Python basics, so learners should ensure they have a solid foundation before enrolling to maximize their learning experience

Reviews summary

Broad python topics, variable depth

According to learners, this course attempts to cover a wide range of topics in Python, from game development and databases to machine learning and magic methods. While some students find value in the practical projects and applications presented, a significant number feel the course lacks sufficient depth in many of the areas it touches upon. This often leads reviewers to suggest the course is more suitable for intermediate learners seeking exposure to various Python libraries and domains rather than those truly looking for advanced programming techniques or job preparation, contrary to the course's title. The overall structure can sometimes feel disjointed due to the disparate subjects covered. Specific sections, like the explanations of ML math or database interactions, receive positive mentions from some, but the overall impression is one of breadth over deep, advanced mastery.

Mathematics behind ML models explained clearly.

"I specifically enjoyed the section on the math behind Machine Learning models. It was explained clearly and provided good intuition."

"Unlike many introductory ML courses, this one actually attempted to explain the 'why' behind some models, not just the 'how' using libraries. Good effort here."

"The math intuition for ML was a pleasant surprise and helpful for a foundational understanding."

"Found the breakdown of mathematical concepts related to machine learning models particularly valuable."

Building real-world applications is helpful.

"The project sections, like building the email sender or text editor, were the most valuable part for me. Applying concepts is key to learning."

"Building the games using Pygame/Arcade was fun and helped solidify the basics of those libraries through hands-on coding."

"I appreciated the attempts to create 'real-time applications'. It makes the learning more tangible and gives concrete examples."

"The practical exercises felt useful for reinforcing the module topics."

Topics feel unrelated and progression is random.

"The course jumps abruptly from game development to sending emails to databases to machine learning without much connective tissue between the topics. It feels like a collection of mini-courses."

"Following the syllabus felt a bit random at times. I prefer courses with a more logical progression of difficulty or a clearer theme connecting the modules."

"It's hard to see how a module on Pygame helps me learn 'advanced concepts' for professional programming alongside, say, linear algebra or databases."

"The flow between different sections could be improved; the transitions felt quite jarring."

Covers many areas but often lacks depth.

"I felt like the course touched on a lot of interesting subjects like databases and machine learning but didn't go into enough detail for them to feel truly advanced."

"While the sheer number of topics is impressive, the coverage is often superficial. I needed to find other resources to really understand the concepts presented."

"Expected advanced dives, got introductions to various libraries. It's a good starting point for many areas, not an advanced course."

"The course gives you a taste of many things, but if you want to master any single topic like ML or databases, you'll need additional study."

More intermediate than advanced level.

"As someone with intermediate Python knowledge, I found many sections to be review or still quite basic. Not what I'd call 'advanced' programming."

"The title 'Learn Advanced Python Concepts' is quite misleading. It's really a broad overview of various Python modules and their basic usage, not deep advanced concepts."

"Was hoping for discussions on advanced data structures, algorithms, design patterns, or performance optimization techniques, but didn't find that here."

"If you're already past the basics, a large portion of this course might feel redundant or not challenging enough."

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 Advanced Python Concepts with these activities:

Review Basic Python Syntax

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Solidify your understanding of fundamental Python syntax to ensure a smooth transition into advanced concepts.

Browse courses on Python Syntax

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Review data types, operators, and control flow statements.
Practice writing simple Python scripts.
Complete online Python tutorials for beginners.

Review 'Python Crash Course'

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Reinforce your Python fundamentals with a comprehensive guide that covers essential concepts and practical projects.

View Python Crash Course, 2nd Edition: A Hands-On,... on Amazon

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Read the chapters covering basic Python syntax and data structures.
Work through the example projects to apply your knowledge.

Practice Object-Oriented Programming (OOP) Exercises

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Sharpen your OOP skills by working through coding exercises that involve classes, inheritance, and polymorphism.

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Solve coding challenges on platforms like HackerRank or LeetCode focusing on OOP.
Design and implement your own classes and objects.
Experiment with inheritance and polymorphism in your code.

Four other activities

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Build a Simple Game with Pygame

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Apply your Pygame knowledge by creating a simple game, reinforcing concepts like event handling, graphics, and game logic.

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Design the game mechanics and user interface.
Implement the game logic using Pygame functions.
Add graphics and sound effects to enhance the game experience.
Test and debug the game to ensure it runs smoothly.

Create a Seaborn Data Visualization Tutorial

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Deepen your understanding of Seaborn by creating a tutorial that explains different plot types and their applications.

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Choose a dataset and identify interesting patterns to visualize.
Create a series of Seaborn plots to highlight these patterns.
Write clear and concise explanations for each plot.
Publish your tutorial on a blog or share it with classmates.

Contribute to a Python Database Connector

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Gain practical experience with databases in Python by contributing to an open-source database connector project.

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Find an open-source Python database connector project on GitHub.
Identify a bug or feature request to work on.
Implement the fix or feature and submit a pull request.
Respond to feedback from the project maintainers.

Read 'Fluent Python'

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Explore advanced Python features and best practices to write more efficient and maintainable code.

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

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Read the chapters covering topics like metaclasses, decorators, and generators.
Experiment with these features in your own projects.

Career center

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

Software Developer

A Software Developer designs, develops, and tests software applications. This role requires proficiency in programming languages and software development methodologies. This course helps build a foundation in advanced Python concepts which is a highly sought-after language in the software development industry. Through learning to make real-time applications, one will be prepared to tackle real-world software development challenges. The course's focus on the intuition behind advanced concepts ensures a deeper understanding, making one a more effective Software Developer. The modules on Pygame, scientific Python and databases are particularly relevant.

See salaries and explore the career path for Software Developer

Software Engineer

A Software Engineer designs, develops, and maintains software systems. This role requires a strong understanding of programming principles, data structures, and algorithms. This course helps build a foundation in advanced Python concepts, which are essential for modern software engineering. By learning to make real-time applications, one can gain practical experience in building complex software systems. The course's focus on advanced topics and real-world applications ensures that one has the skills necessary to excel as a Software Engineer. Scientific Python and databases are relevant.

See salaries and explore the career path for Software Engineer

Game Developer

A Game Developer creates video games for various platforms. This role requires proficiency in programming languages, game engines, and software development principles. This course helps build a foundation in game development using Pygame. The course covers essential concepts such as object movement, collision detection, and user interface design. By learning to create games using Pygame, one can develop the skills necessary to become a successful Game Developer. The modules dedicated to building multiple games in Pygame are particularly valuable.

See salaries and explore the career path for Game Developer

Scientific Programmer

A Scientific Programmer develops software for scientific research and analysis. This role requires a strong understanding of programming, mathematics, and scientific principles. This course helps build a foundation in scientific Python, covering topics such as special functions, linear algebra, and integral calculus. By learning to implement these concepts in Python, one can become a Scientific Programmer. The section on scientific Python is particularly relevant.

See salaries and explore the career path for Scientific Programmer

Machine Learning Engineer

A Machine Learning Engineer develops and deploys machine learning models. This role requires a strong understanding of algorithms, data structures, and programming. This course helps build a foundation in machine learning using Python, covering the mathematics behind each model. By learning to make real-time applications using these models, one can gain practical experience in deploying machine learning solutions. The course's focus on advanced Python concepts ensures that one has the technical skills necessary to excel as a Machine Learning Engineer. The coverage of scientific Python is also relevant.

See salaries and explore the career path for Machine Learning Engineer

Database Administrator

A Database Administrator manages and maintains databases to ensure data integrity, security, and availability. This role requires a strong understanding of database systems, SQL, and data management principles. This course helps build a foundation in database management using Python. The course provides extensive coverage of database concepts and techniques, including database interactions and management. By learning to work with databases in Python, one can develop the skills necessary to become a Database Administrator. The numerous modules dedicated to databases in Python are particularly valuable.

See salaries and explore the career path for Database Administrator

Artificial Intelligence Engineer

An Artificial Intelligence Engineer designs, develops, and deploys artificial intelligence systems. This role requires a strong understanding of machine learning, neural networks, and programming. This course helps build a foundation in machine learning using Python. By learning to make real-time applications using machine learning models, one can gain practical experience in deploying AI solutions. The focus on advanced Python concepts and mathematical underpinnings of machine learning prepares individuals to excel as Artificial Intelligence Engineers.

See salaries and explore the career path for Artificial Intelligence Engineer

Full-Stack Developer

A Full Stack Developer works on both the front-end and back-end of web applications. This role requires proficiency in multiple programming languages, web frameworks, and database management systems. This course may be useful because it provides a enhanced foundation in Python, a versatile language used for both back-end development and scripting. The sections on databases and application building are valuable for understanding back-end systems, while advanced concepts in Python enhances overall coding skills needed to become a Full Stack Developer.

See salaries and explore the career path for Full-Stack Developer

Data Scientist

A Data Scientist analyzes complex data to extract insights and inform business decisions. This typically requires an advanced degree. Skills in machine learning, data visualization, and statistical analysis are essential. This course may be useful because it provides a robust introduction to advanced Python, including the mathematics behind machine learning models. The sections on scientific Python, data visualization with SeaBorn, and databases are directly applicable to the work of a Data Scientist. The course's emphasis on making real-time applications can help bridge the gap between theoretical knowledge and practical implementation, turning one into an effective Data Scientist.

See salaries and explore the career path for Data Scientist

Data Analyst

A Data Analyst collects, processes, and analyzes data to identify trends and insights. This role requires proficiency in statistical analysis, data visualization, and programming. This course may be useful because provides a foundation in Python, data visualization using SeaBorn, and database management. These skills are essential for performing data analysis tasks. The course helps one learn how to apply these tools to real-world problems. The scientific Python sections are also relevant to the work of a Data Analyst.

See salaries and explore the career path for Data Analyst

Research Scientist

A Research Scientist conducts research and experiments to advance knowledge in a particular field. This role often requires an advanced degree (master's or phd). Proficiency in programming, data analysis, and scientific modeling is often needed. This course may be useful because it provides a foundation in Python, scientific computing, and data visualization. These skills are valuable for conducting research and analyzing data. The sections on scientific Python and data visualization with SeaBorn can help one become a Research Scientist.

See salaries and explore the career path for Research Scientist

Computer Graphics Programmer

A Computer Graphics Programmer develops software for generating and manipulating images. This role requires proficiency in programming languages, computer graphics principles, and linear algebra. This course may be useful because it provides a foundation in Python and the Pygame module, which can be used for creating 2D graphics. The course also covers fundamental concepts such as object movement, drawing shapes, and image manipulation. These skills can help one become a Computer Graphics Programmer.

See salaries and explore the career path for Computer Graphics Programmer

Automation Engineer

An Automation Engineer designs and implements automated systems and processes. This role requires proficiency in programming, scripting, and system integration. This course may be useful because it provides a strong foundation in advanced Python concepts. The ability to create real-time applications can be directly applied to automating various tasks and processes. The modules on databases and the email sender application are particularly relevant to the work of an Automation Engineer.

See salaries and explore the career path for Automation Engineer

Quantitative Analyst

A Quantitative Analyst develops and implements mathematical models for financial analysis. This role typically requires an advanced degree (master's or phd). Skills in programming, statistics, and financial modeling are essential. This course may be useful because it provides a foundation in Python and scientific computing, which are used in quantitative analysis. The sections on linear algebra, data visualization, and statistical functions can help one become a Quantitative Analyst.

See salaries and explore the career path for Quantitative Analyst

Web Developer

A Web Developer designs, develops, and maintains websites and web applications. This role requires proficiency in programming languages, web frameworks, and database management. This course may be useful because it provides a strong foundation in Python, which can be used with web frameworks such as Django and Flask. The sections on databases and application building are directly applicable to web development projects. Learning to create real-time applications helps prepare one for building dynamic and interactive websites as a Web Developer.

See salaries and explore the career path for Web Developer

Learn Advanced Python Concepts

What's inside

Learning objectives

Syllabus

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Reviews summary

Broad python topics, variable depth

Activities

Career center

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