Write Better Python Course
This course provides an in-depth look at how to write better Python code. It covers topics such as formatting code to match the standard, debugging, and writing efficient code. Students will learn how to use the best practices for writing Python code, as well as how to debug and optimize their code. ▼
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Course Feature
Cost:
Free Trial
Provider:
Treehouse
Certificate:
Paid Certification
Language:
English
Start Date:
On-Demand
Course Overview
❗The content presented here is sourced directly from Treehouse platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.
Updated in [March 06th, 2023]
The Write Better Python Course provides an overview of the Python style guide and Zen rules, docstrings, logging, and the Python Debugger. Participants will learn how to format their Python code to match the standard, use help() to get assistance, and use logging and pdb to keep track of what's going on inside the code.
[Applications]
After completing this course, students should be able to apply the Python style guide and Zen rules to their code, use docstrings to document their code, use logging to track their code's progress, and use the Python Debugger to debug their code. Additionally, students should be able to use the help() function to get more information about their code.
[Career Paths]
1. Python Developer: Python developers are responsible for writing and testing code, as well as debugging programs. They must be able to analyze user needs and develop software solutions. Python developers are in high demand due to the increasing popularity of the language and its use in a variety of applications. The development of AI and machine learning has also increased the need for Python developers.
2. Data Scientist: Data scientists use Python to analyze large datasets and uncover patterns and trends. They use a variety of techniques, such as machine learning, to uncover insights from data. Data scientists must be able to interpret and communicate their findings to stakeholders.
3. Software Engineer: Software engineers use Python to develop software applications. They must be able to design, develop, and test software applications. They must also be able to troubleshoot and debug any issues that arise.
4. DevOps Engineer: DevOps engineers use Python to automate processes and manage infrastructure. They must be able to design, develop, and maintain systems. They must also be able to troubleshoot and debug any issues that arise.
[Education Paths]
The recommended degree paths for learners of this course are:
1. Bachelor of Science in Computer Science: This degree path provides students with a comprehensive understanding of computer science fundamentals, including programming languages, software engineering, computer architecture, and operating systems. It also covers topics such as artificial intelligence, machine learning, and data science. The development trends in this field are focusing on the use of artificial intelligence and machine learning to create more efficient and effective computer systems.
2. Master of Science in Data Science: This degree path focuses on the application of data science techniques to solve real-world problems. It covers topics such as data mining, machine learning, and predictive analytics. The development trends in this field are focusing on the use of big data and analytics to gain insights from large datasets.
3. Master of Science in Artificial Intelligence: This degree path focuses on the development of intelligent systems and the application of artificial intelligence techniques to solve real-world problems. It covers topics such as natural language processing, computer vision, and robotics. The development trends in this field are focusing on the use of deep learning and reinforcement learning to create more powerful and intelligent systems.
4. Master of Science in Software Engineering: This degree path focuses on the development of software applications and systems. It covers topics such as software design, software development, and software testing. The development trends in this field are focusing on the use of agile development methods and DevOps to create more efficient and effective software systems.
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Quiz
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1. What is the main purpose of the Python style guide and Zen rules?
2. What is the purpose of docstrings?
3. What is the purpose of the Python Debugger?
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