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A Cloud Guru

The best ways to improve as a programmer are to 1) read a lot of code, and 2) exercise your programming skills by solving problems. In this completely project-based course, we'll work through various projects from start to finish by breaking down problems and solving them using Python. Along the way, we'll learn about some intermediate to advanced Python topics and see how we can apply concepts we've already learned to solve completely different problems.

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Good to know

Know what's good
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Develops intermediate to advanced Python topics, which are core skills for programmers
Taught by A Cloud Guru, who are recognized for their work in cloud computing
Focuses on problem-solving, which is a critical skill for programmers
Emphasizes reading code, which is a foundational skill for programmers
Teaches Python, which is a highly relevant programming language
Prioritizes hands-on experience through projects, which is an effective way to learn programming

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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 Programming Use Cases with Python with these activities:
Review Python basics
Start by refreshing your understanding of Python basics. This will help you build a stronger foundation for the more advanced concepts covered in the course.
Browse courses on Python Basics
Show steps
  • Review online tutorials or documentation on Python basics, such as data types, variables, and control flow.
  • Complete practice problems and exercises to reinforce your understanding.
  • Create a simple Python program to apply what you have learned.
Follow a structured Python tutorial or course
Following a structured tutorial or course can provide you with a guided path for learning Python.
Show steps
  • Identify a tutorial or course that covers the topics you want to learn.
  • Follow the instructions and complete the exercises.
  • Take notes and ask questions as needed.
Join a study group or online forum
Engaging with peers can help you clarify concepts, share different perspectives, and stay motivated.
Show steps
  • Find a study group or online forum related to Python.
  • Introduce yourself and ask questions.
  • Participate in discussions and share your insights.
Four other activities
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Build a Python calculator
Building a simple Python calculator will help you practice using Python's built-in functions and operators.
Show steps
  • Design the calculator's interface and functionality.
  • Code the calculator's logic and operations.
  • Test and debug your calculator to ensure it works correctly.
  • Reflect on your code and identify areas for improvement.
Solve coding challenges and practice problems
Challenging yourself with coding exercises will help you develop your problem-solving skills.
Show steps
  • Find coding challenges or practice problems online.
  • Analyze the problem and design a solution.
  • Code your solution.
  • Test and debug your code.
  • Reflect on your solution and identify areas for improvement.
Write a blog post or article about Python
Writing about Python will help you solidify your understanding of the concepts and share your knowledge with others.
Show steps
  • Choose a topic that aligns with the course content.
  • Research and gather information on the topic.
  • Outline and organize your content.
  • Write the blog post or article.
  • Edit and proofread your content.
Volunteer as a Python tutor or mentor
Mentoring others can reinforce your own understanding and help you develop your communication skills.
Show steps
  • Identify opportunities to volunteer as a tutor or mentor.
  • Prepare lesson plans and materials.
  • Provide guidance and support to learners.
  • Reflect on your experiences and identify areas for improvement.

Career center

Learners who complete Programming Use Cases with Python will develop knowledge and skills that may be useful to these careers:
Data Analyst
Data Analysts use their Python skills to analyze large datasets and extract meaningful insights. This course can help build a foundation in Python and teach how to use it to solve real-world problems. It can also help Data Analysts develop their problem-solving skills and learn how to use Python to automate tasks.
Data Scientist
Data Scientists use Python to analyze data and extract meaningful insights. This course can help build a foundation in Python and teach how to use it to solve real-world problems. It can also help Data Scientists develop their problem-solving skills and learn how to use Python to automate tasks.
Machine Learning Engineer
Machine Learning Engineers use Python to develop and maintain machine learning models. This course can help build a foundation in Python and teach how to use it to solve real-world problems. It can also help Machine Learning Engineers learn how to use Python to automate tasks and develop new models.
Software Developer
Software Developers use Python to develop and maintain software applications. This course can help build a foundation in Python and teach how to use it to create new applications. It can also help Software Developers learn how to use Python to solve complex problems.
Risk Analyst
Risk Analysts use Python to analyze data and make recommendations for managing risk. This course can help build a foundation in Python and teach how to use it to analyze data and develop risk management strategies.
Quantitative Analyst
Quantitative Analysts use Python to analyze financial data and make investment recommendations. This course can help build a foundation in Python and teach how to use it to analyze data and develop investment strategies.
Business Analyst
Business Analysts use their Python skills to analyze data and make recommendations for improving business processes. This course can help build a foundation in Python and teach how to use it to analyze data and solve business problems.
Operations Research Analyst
Operations Research Analysts use Python to analyze data and make recommendations for improving operations. This course can help build a foundation in Python and teach how to use it to analyze data and develop solutions for improving operations.
Financial Analyst
Financial Analysts use Python to analyze financial data and make investment recommendations. This course can help build a foundation in Python and teach how to use it to analyze data and develop investment strategies.
Statistician
Statisticians use Python to analyze data and make recommendations for improving business processes. This course can help build a foundation in Python and teach how to use it to analyze data and solve business problems. It may also be helpful for Statisticians who want to learn how to use Python to automate tasks and develop new models.
Actuary
Actuaries use Python to analyze data and make recommendations for managing risk. This course can help build a foundation in Python and teach how to use it to analyze data and develop risk management strategies. It may also be helpful for Actuaries who want to learn how to use Python to automate tasks and develop new models.
Database Administrator
Database Administrators use Python to manage databases. This course can help build a foundation in Python and teach how to use it to manage databases and optimize performance. It may also be helpful for Database Administrators who want to learn how to use Python to automate tasks and develop new tools.
Data Engineer
Data Engineers use Python to design and build data pipelines. This course can help build a foundation in Python and teach how to use it to design and build scalable data pipelines. It may also be helpful for Data Engineers who want to learn how to use Python to automate tasks and develop new pipelines.
Software Tester
Software Testers use Python to test software applications. This course can help build a foundation in Python and teach how to use it to test software applications and find bugs. It may also be helpful for Software Testers who want to learn how to use Python to automate tests and develop new testing tools.
Technical Writer
Technical Writers use Python to write technical documentation. This course may be helpful for Technical Writers who want to learn how to use Python to automate tasks and develop new documentation tools. It can also help Technical Writers build a foundation in Python and learn how to use it to solve real-world problems.

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 Programming Use Cases with Python.
A deep dive into the intricacies of the Python language, covering topics such as decorators, metaclasses, and generators.
A detailed guide to using Python for machine learning, covering topics such as supervised learning, unsupervised learning, and deep learning.
A detailed guide to the Python standard library, covering all the major modules and functions that are included with the Python interpreter.
A classic Python reference guide with a collection of practical Python recipes, tips, and tricks that can be applied to a variety of situations.
A comprehensive guide to using Python for natural language processing, covering topics such as text classification, sentiment analysis, and machine translation.
A comprehensive guide to using Python for data analysis, covering topics such as data cleaning, data visualization, and machine learning.
A concise and comprehensive reference guide to the Python language, covering all the major features of Python 3.
A practical guide to automating tasks with Python, covering a wide range of topics from web scraping to data analysis.
A practical guide to using Python for web development, covering topics such as web frameworks, databases, and deployment.
A beginner-friendly guide to using Django, a popular Python web framework, covering topics such as model-view-template architecture and database integration.

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