Mastering Python 3 Programming
Learn Python 3.x programming! Boost your code's efficiency and unlock new possibilities. Perfect for beginners and those looking to level up their skills.
Course Content
Mastering Python 3 Programming is a beginner-level Udemy course taught by Packt Publishing. It runs 10h 12m, is taught in English, and includes a certificate of completion. Learners rate it 3.6 out of 5 from 9 reviews, with 92 students enrolled. It is a paid course, first published June 2019.
Python: Master the Powerful & Versatile Programming Language
Unlock the potential of Python, a highly sought-after and remarkably easy-to-learn programming language. Its elegant syntax, dynamic typing, and interpreted nature make it perfect for scripting, rapid application development, and a wide range of applications across various platforms. Whether you're a beginner or an experienced developer looking to solidify your programming skills, this comprehensive learning path is designed for you.
This practical Python 3.x course focuses on building powerful applications by mastering core programming concepts. You'll start by exploring the latest features of Python 3.x and gain hands-on experience through multiple projects.
Key topics covered include:
- Python 3.x Fundamentals: A deep dive into the core programming aspects of Python.
- Event-Driven & Reactive Programming: Learn to build responsive and dynamic applications.
- Error Handling: Implement robust error management strategies.
- Asynchronous Programming: Develop efficient, non-blocking applications.
- Decorators & Non-Type Annotations: Enhance code reusability and readability.
- Descriptors: Understand and utilize object attributes effectively.
- Distributed Computing: Explore techniques for scaling applications across multiple machines.
- High-Performance & Concurrent Applications: Build applications that leverage parallelism for speed.
- NumPy & SciPy: Utilize powerful libraries for numerical computing and scientific applications.
- Dask: Perform large-scale computations efficiently.
- Data Engineering with Python: Implement distributed applications.
- Reactive Programming: Construct robust and responsive applications.
Who is this course for?
This course is ideal for:
- Beginner programmers looking to learn a versatile language.
- Developers seeking to expand their skillset with Python.
- Data scientists wanting to leverage Python for data analysis and machine learning.
- Anyone interested in scripting, automation, and application development.
Meet Your Expert Instructors:
Our course is guided by a team of experienced professionals:
- Matthew Macarty: With over 15 years of experience teaching business students at Bentley University, specializing in statistics, quantitative methods, and database design.
- Daniel Arbuckle: A Computer Science Doctorate from the University of Southern California, specializing in robotics and nanotechnology. He has over 10 years of consulting experience using Python for businesses. Award-winning teacher of programming and computer science.
- Mohammed Kashif: A Data Scientist at Nineleaps with expertise in graph data analysis. Previously a Python developer at Qualcomm. Holds a Master's in Computer Science from IIIT Delhi, specializing in data engineering. Active in the Python community and experienced teaching assistant.
By the end of this course, you'll be proficient in using Python 3.x to build efficient and effective applications, empowering you to tackle a wide range of programming challenges.
Need a web app built? Hire the team behind TutorialSearch.io
We ship fast, production-grade full-stack apps (Next.js, React, edge infra) — the same stack that powers this site.