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Robert Smallshire
Over time, Python has exploded in popularity, from being an obscure scripting language to becoming one of the most popular, and widely used languages in the world. In this course, Advanced Python, you'll learn advanced topics, a knowledge of which will set...
Read more
Over time, Python has exploded in popularity, from being an obscure scripting language to becoming one of the most popular, and widely used languages in the world. In this course, Advanced Python, you'll learn advanced topics, a knowledge of which will set...
Read more
Over time, Python has exploded in popularity, from being an obscure scripting language to becoming one of the most popular, and widely used languages in the world. In this course, Advanced Python, you'll learn advanced topics, a knowledge of which will set you apart from the greater number of Python developers. First, you'll explore how to gain fine-grained control over attribute access. Next, you'll discover how to intercept class-object construction. Finally, you'll learn the subtle, but powerful, controls Python gives you over class relationships. By the end of this course, you'll know enough Python to understand the advanced techniques used to implement sophisticated frameworks and much more.
Register for this course and see more details by visiting:
OpenCourser.com/course/gvfbrd/advanced
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possible dealbreakers
Assumes learners already have a foundational understanding of Python
Goes beyond the basics of Python, suitable for experienced developers
Teaches advanced techniques used in sophisticated frameworks
Instructor Robert Smallshire is recognized for their work in Python
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Career center
Learners who complete Advanced Python will develop knowledge and skills
that may be useful to these careers:
Artificial Intelligence Engineer
Artificial Intelligence Engineer
Artificial Intelligence Engineers design and develop AI systems. The skills you'll learn in Advanced Python will complement those you need as an Artificial Intelligence Engineer, and may open doors to new opportunities. Such skills will help you become an even more effective Artificial Intelligence Engineer.
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers are responsible for the development and implementation of machine learning models. As a Machine Learning Engineer, you need a solid understanding of Python, as well as the ability to apply advanced techniques. Advanced Python provides the skills to help you become a more effective Machine Learning Engineer.
Data Scientist
Data Scientist
Data Scientists use their knowledge of programming languages like Python, as well as their experience with data analysis and machine learning. By understanding the techniques taught in Advanced Python, you can gain a competitive edge as a Data Scientist, and open doors to new opportunities.
Data Analyst
Data Analyst
Data Analysts use their skills in programming and data analysis to help businesses make better decisions. With the knowledge you'll gain in Advanced Python, you can become a more effective Data Analyst, and you may be able to advance your career significantly.
Data Engineer
Data Engineer
Data Engineers are responsible for the design, development, and maintenance of data systems. By taking Advanced Python, you can develop the skills you need to become a more effective Data Engineer, which may open doors to new opportunities.
Quantitative Analyst
Quantitative Analyst
Quantitative Analysts use their knowledge of mathematics, statistics, and programming to analyze financial data. By applying the concepts you'll learn in Advanced Python, you can develop the skills you need to become a sought-after Quantitative Analyst.
Software Engineer
Software Engineer
Software Engineers are responsible for the design, development, and maintenance of software systems. Python is one of the most popular programming languages in the world, and Advanced Python will help you develop the skills to use Python to its full potential, making you even more valuable as a Software Engineer.
Blockchain Developer
Blockchain Developer
Blockchain Developers are responsible for the design, development, and maintenance of blockchain systems. Advanced Python can help you build a foundation for success in this role, as you will learn how to use Python to its full potential. This can make you a more effective Blockchain Developer, and it may open doors to new opportunities.
Game Developer
Game Developer
Game Developers are responsible for the design, development, and maintenance of video games. Advanced Python can help you build a foundation for success in this role, as you will learn how to use Python to develop game engines and other game-related software. This knowledge can help make you a more effective Game Developer, and it may open doors to new opportunities.
DevOps Engineer
DevOps Engineer
DevOps Engineers use their programming skills to automate the software development and deployment process. With the skills you'll gain in Advanced Python, you may be able to become a more effective DevOps Engineer, as you can apply them to the automation process to make it more efficient.
Cloud Engineer
Cloud Engineer
Cloud Engineers are responsible for the design, development, and maintenance of cloud-based systems. Advanced Python can help you build a foundation for success in this role, as you will learn how to use Python to its full potential. This can make you a more effective Cloud Engineer, and it may open doors to new opportunities.
Software Architect
Software Architect
As a Software Architect, you'll design and develop software systems. Advanced Python can help you build a foundation for success in this role, as you will learn how to use Python to its full potential. This can make you a more effective Software Architect, and it may open doors to new opportunities.
Cybersecurity Analyst
Cybersecurity Analyst
Cybersecurity Analysts are responsible for the protection of computer systems and networks from cyberattacks. By taking Advanced Python, you'll learn how to use Python to develop security tools and applications, which can make you a more effective Cybersecurity Analyst.
Web Developer
Web Developer
As a Web Developer, you'll use your programming skills to develop websites and web applications. With the skills you gain in Advanced Python, you can become a more effective Web Developer, which may open doors to more advanced opportunities.
Full-Stack Developer
Full-Stack Developer
As a Full Stack Developer, you'll be responsible for the design, development, and maintenance of both the front-end and back-end of software systems. The skills you'll learn in Advanced Python will help you become a more effective Full Stack Developer, as you can apply them to both the front-end and back-end of your projects.
For more career information including salaries, visit:
OpenCourser.com/course/gvfbrd/advanced
Reading list
We've selected 15 books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Advanced Python.
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Provides a deep dive into the advanced features of Python, including metaprogramming, decorators, generators, and more. It valuable resource for anyone who wants to master Python's capabilities.
Save
Collection of over 500 Python recipes that cover a wide range of topics, from basic tasks to advanced programming techniques. It valuable resource for anyone who wants to learn how to solve common programming problems in Python.
Save
Comprehensive reference guide to the Python language. It covers all the essential topics, from basic syntax to advanced features like generators and decorators. It valuable resource for anyone who wants to quickly look up information about Python.
Save
Provides 90 specific tips for writing better Python code. It covers topics such as code readability, performance, and maintainability. It valuable resource for anyone who wants to improve their Python programming skills.
Comprehensive introduction to the Python language. It covers all the essential topics, from basic syntax to advanced features like generators and decorators. It valuable resource for anyone who wants to learn Python from scratch.
Save
Is an introduction to computer science using Python. It covers topics such as data structures, algorithms, and object-oriented programming. It valuable resource for anyone who wants to learn how to think like a computer scientist.
Crash course in Python programming. It covers all the essential topics, from basic syntax to advanced features like generators and decorators. It valuable resource for anyone who wants to learn Python quickly and easily.
Save
Beginner-friendly introduction to Python programming. It uses a visual and interactive approach to teaching, making it a valuable resource for anyone who wants to learn Python in a fun and engaging way.
Practical introduction to Python programming. It covers topics such as data manipulation, text processing, and web scraping. It valuable resource for anyone who wants to learn how to use Python to automate everyday tasks.
Comprehensive guide to the Python standard library. It covers all the essential modules, from basic input/output to advanced data structures. It valuable resource for anyone who wants to learn how to use the Python standard library effectively.
Practical guide to writing and running tests with pytest. It covers all the essential topics, from basic test writing to advanced techniques like mocking and fixtures. It valuable resource for anyone who wants to learn how to test their Python code effectively.
Practical introduction to data analysis with Python. It covers all the essential topics, from data cleaning and preparation to data visualization and modeling. It valuable resource for anyone who wants to learn how to use Python for data analysis.
Practical introduction to machine learning with Python. It covers all the essential topics, from data preparation and feature engineering to model selection and evaluation. It valuable resource for anyone who wants to learn how to use Python for machine learning.
Hands-on introduction to deep learning with Python. It covers all the essential topics, from neural networks and convolutional neural networks to recurrent neural networks and generative adversarial networks. It valuable resource for anyone who wants to learn how to use Python for deep learning.
Practical introduction to natural language processing with Python. It covers all the essential topics, from text preprocessing and feature extraction to natural language generation and machine translation. It valuable resource for anyone who wants to learn how to use Python for natural language processing.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/gvfbrd/advanced
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Time
3 hours
Via
Pluralsight
Instructor
Robert Smallshire
This course belongs to a
collection
called
Python. It's comprised of 12 courses:
- Python: The Big Picture
- Python: Getting Started
- Advanced Python (viewing)
- Python Fundamentals
- Python – Beyond the Basics
- The Python Developer's Toolkit
- Unit Testing with Python
- Full Stack Web Development with Python (WEB2PY)
- Python Best Practices for Code Quality
- Managing Python Packages and Virtual Environments
- Core Python 3: Getting Started
- Advanced Python
Good to know
Assumes learners already have a foundational understanding of Python
Goes beyond the basics of Python, suitable for experienced developers
Teaches advanced techniques used in sophisticated frameworks
Instructor Robert Smallshire is recognized for their work in Python
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