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In the final course, we'll tie together the concepts that you’ve learned up until now. You'll tackle real-world scenarios in Qwiklabs that will challenge you to use multiple skills at once.

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In the final course, we'll tie together the concepts that you’ve learned up until now. You'll tackle real-world scenarios in Qwiklabs that will challenge you to use multiple skills at once.

First, we'll take a closer look at how to use external Python modules to extend your code's capabilities, and spend some time learning how to use documentation to learn a new module. For example, we'll use the Python Image Library (PIL) to create and modify images. We'll show you some simple examples of how to perform common tasks in the course material, but it will be up to you to explore the module documentation to figure out how to solve specific problems.

Next, we'll show you how to communicate with the world outside of your code! You'll use data serialization to turn in-memory objects into messages that can be sent to other programs. Your program will send messages across the network to Application Programming Interfaces (APIs) offered by other programs. For those times when your code needs to talk to a person instead of a program, you'll also learn to send email messages.

At the end of this course, you’ll be able to take a description of a problem and use your skills to create a solution -- just like you would on the job. In your final capstone project, you'll be given a description of what your customer needs, and it will be up to you to create a program to do it!

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What's inside

Syllabus

Manipulating images
In this module, you’ll be introduced to distributed systems and Non Abstract Large System Design or NALSD. We’ll cover built-in verse external libraries and go over API’s. Next, we’ll loop back to how to generate and manage containers, this time, focusing on VS Studio and Docker. You’ll learn how to use PIL for working with images. Finally, you’ll put what you learned into action in a lab where you will scale and convert images using PIL.
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Interacting with Web Services
In this module, you’ll learn about web applications and services and APIs. We’ll cover RESTful APIs and REST architecture, as well as, how to use REST APIs to access web data. You’ll learn more about Flask and data serialization. Next, we’ll dive into the Python Requests Library and cover different request methods like HTTP GET and Post. Finally, you’ll be introduced to Django, a full stack web framework. You’ll complete a lab that uses Django to process text files with Python dictionaries and upload to a running web service.
Automatic Output Generation
In this module, you’ll learn about logging, the logging module, and exception handling. You’ll be introduced to the Python email library and learn how to add attachments and send emails through the SMTP server. Next, we’ll cover generating PDFs and how to add tables and graphics. Finally, you’ll put all of this together in a lab where you will generate a PDF and send it via email!
Putting It All Together
In this module, you’ll complete the final course project! You’ll go over the project problem statement, and we’ll provide you with some resources to solve the problem and complete the project. You’ll put everything you have learned throughout this course into action by automating updating catalog information. In this lab, you’ll write a script, generate a PDF, automatically send that PDF via email, and write a script to check the health status of the system.
Career Resources
In this module, you’ll explore job readiness skills and other job related resources. You’ll learn more about working from home and advanced communication skills. We’ll also cover imposter syndrome and burnout and provide tips that you can use throughout your career.

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Emphasizes the practical application of skills, preparing learners for real-world scenarios
Incorporates hands-on labs, providing learners with opportunities for interactive learning
Covers a comprehensive range of topics, building a solid foundation for learners
Familiarizes learners with the Python Image Library for manipulating images
Introduces learners to the concept of Non Abstract Large System Design (NALSD)
Requires learners to have a basic understanding of Python

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Reviews summary

Python real-world automation

learners say this specialization is largely positive due to its engaging assignments and real-world focus. It teaches foundational topics in Python programming, automation, and IT troubleshooting. Throughout the course, students apply their knowledge by completing hands-on projects and labs, including a challenging final project that tests their problem-solving and critical thinking skills. Instructors are knowledgeable and provide helpful feedback, and the course materials are well-structured and informative.
The instructors are knowledgeable and experienced professionals who provide clear explanations and helpful feedback on student work.
"The instructors were knowledgeable and provided helpful feedback on project submissions."
The final project is a demanding assessment that requires students to apply all the skills they have learned throughout the specialization.
"This was an extraordinarios course, the best of the entire specialization, I spent hours with challenging real world problems and I also need to put in practice all the knowledges previously acquired in past courses."
"The last lab is challenging and fun to complete."
"Wow, that was nuts. But I kinda liked that."
The course emphasizes practical applications of Python, focusing on automating real-world tasks and solving problems in the IT field.
""Automate the Real World Stuff with Python libraries and modules; now the boring stuff is not boring anymore."
"This course has really helped me seen System Administration and IT Technical Support from in a whole new light."
Coursework involves completing practical labs and assignments that reinforce concepts and allow students to apply their knowledge to real-world scenarios.
"The hands-on projects were particularly useful in reinforcing the material covered in each module."
"This course takes off the training wheels and lets you write most of the code on your own, the labs are harder but very satisfying to finish, I especially like the last lab."
Unlike previous courses in the specialization, this course primarily relies on text-based materials and lacks engaging video lectures.
"This course was VERY differently laid out and presented. It's 100% readings and projects, with no videos, quizzes, or other intermediate exercises/check ins to help retain knowledge."
"The last assessment exercise was poorly supported in QuickLabs."
The certificate provided upon completion of the course has been reported to be improperly formatted.
"The certificate is broken and filled with errors."
"I am immensely grateful to the team of Google and Coursera for making this possible. Now, with these tools I've learned, I'll be able to advance mi professional career! However, the Certificate after learning this course is not in a proper format the only drawback is that."

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 Automating Real-World Tasks with Python with these activities:
Read 'Automate the Boring Stuff with Python'
Enhance your understanding of Python fundamentals by reading a comprehensive book that covers a wide range of topics.
Show steps
  • Acquire a copy of the book
  • Set aside time for reading
  • Take notes and highlight key concepts
Join a Python study group
Enhance your understanding and gain different perspectives by joining a study group where you can collaborate with peers.
Show steps
  • Find or create a Python study group
  • Meet regularly to discuss course material
  • Work together on projects and assignments
Attend a Python meetup
Connect with other Python enthusiasts and learn about new trends and applications by attending a local Python meetup.
Show steps
  • Find a local Python meetup group
  • Attend a meetup and introduce yourself
  • Ask questions and learn from others
Five other activities
Expand to see all activities and additional details
Show all eight activities
Write code snippets
Reinforce your understanding of Python code syntax and functionality by practicing writing code snippets.
Show steps
  • Choose a topic from the course material
  • Write a code snippet that demonstrates your understanding of the topic
  • Review your code and identify areas for improvement
Participate in a Python workshop
Acquire hands-on experience and learn advanced techniques by attending a Python workshop led by industry experts.
Show steps
  • Find a Python workshop that aligns with your interests
  • Register for the workshop
  • Attend the workshop and actively participate
Explore external Python modules
Expand your knowledge of Python capabilities by exploring external modules and learning how to use their documentation to solve problems.
Browse courses on Python Modules
Show steps
  • Identify a task you want to accomplish
  • Research external Python modules that can help you
  • Read the documentation for the chosen module
  • Implement the module in your code
Create a Python script to automate a task
Develop your Python programming skills by creating a script that automates a repetitive or time-consuming task.
Show steps
  • Identify a task to automate
  • Design the logic of your script
  • Write and test your script
  • Deploy your script and monitor its performance
Develop a Python project
Apply your Python skills and problem-solving abilities by developing a project that addresses a real-world scenario.
Show steps
  • Identify a problem or need
  • Design a solution using Python
  • Implement your solution
  • Test and refine your project

Career center

Learners who complete Automating Real-World Tasks with Python will develop knowledge and skills that may be useful to these careers:
Full-Stack Developer
A Full Stack Developer is a software engineer who can work on both the front end and back end of a website or application. They are responsible for the design, development, and maintenance of web applications. This course can help you build a strong foundation in Python, which is a popular language for web development. You will also learn about web APIs, data serialization, and how to send emails, which are all essential skills for Full Stack Developers. Additionally, the final project in this course will give you hands-on experience with building a full-stack application.
Data Scientist
A Data Scientist is a professional who uses data to solve business problems. They use statistical and machine learning techniques to analyze data and extract insights that can be used to improve decision-making. This course can help you build a strong foundation in Python, which is a popular language for data science. You will also learn about data serialization, which is essential for sending data between different systems. Additionally, the final project in this course will give you hands-on experience with building a data science application.
Machine Learning Engineer
A Machine Learning Engineer is a software engineer who specializes in building and deploying machine learning models. They use machine learning techniques to solve real-world problems, such as fraud detection, image recognition, and natural language processing. This course can help you build a strong foundation in Python, which is a popular language for machine learning. You will also learn about data serialization, which is essential for sending data between different systems. Additionally, the final project in this course will give you hands-on experience with building a machine learning application.
Web Developer
A Web Developer is a software engineer who specializes in building and maintaining websites. They use HTML, CSS, and JavaScript to create websites that are both functional and visually appealing. This course can help you build a strong foundation in Python, which is a popular language for web development. You will also learn about web APIs, data serialization, and how to send emails, which are all essential skills for Web Developers. Additionally, the final project in this course will give you hands-on experience with building a website.
Software Engineer
A Software Engineer is a professional who designs, develops, and maintains software applications. They use programming languages and software development tools to build software that meets the needs of users. This course can help you build a strong foundation in Python, which is a popular language for software development. You will also learn about web APIs, data serialization, and how to send emails, which are all essential skills for Software Engineers. Additionally, the final project in this course will give you hands-on experience with building a software application.
Data Analyst
A Data Analyst is a professional who uses data to identify trends and patterns. They use statistical and data mining techniques to extract insights from data that can be used to improve decision-making. This course can help you build a strong foundation in Python, which is a popular language for data analysis. You will also learn about data serialization, which is essential for sending data between different systems. Additionally, the final project in this course will give you hands-on experience with building a data analysis application.
Business Analyst
A Business Analyst is a professional who helps businesses understand their needs and develop solutions to improve their operations. They use data analysis and problem-solving skills to identify opportunities for improvement. This course can help you build a strong foundation in Python, which is a popular language for data analysis. You will also learn about data serialization, which is essential for sending data between different systems. Additionally, the final project in this course will give you hands-on experience with building a business analysis application.
Project Manager
A Project Manager is a professional who plans, organizes, and executes projects. They use project management tools and techniques to ensure that projects are completed on time, within budget, and to the required quality standards. This course can help you build a strong foundation in Python, which is a popular language for project management. You will also learn about data serialization, which is essential for sending data between different systems. Additionally, the final project in this course will give you hands-on experience with building a project management application.
Technical Writer
A Technical Writer is a professional who creates documentation for software and hardware products. They use writing and editing skills to create clear and concise documentation that helps users understand how to use products. This course can help you build a strong foundation in Python, which is a popular language for software development. You will also learn about data serialization, which is essential for sending data between different systems. Additionally, the final project in this course will give you hands-on experience with building a technical writing application.
Systems Analyst
A Systems Analyst is a professional who analyzes and designs computer systems. They use systems analysis and design techniques to create systems that meet the needs of users. This course can help you build a strong foundation in Python, which is a popular language for systems analysis and design. You will also learn about data serialization, which is essential for sending data between different systems. Additionally, the final project in this course will give you hands-on experience with building a systems analysis and design application.
Database Administrator
A Database Administrator is a professional who manages and maintains databases. They use database management tools and techniques to ensure that databases are available, reliable, and secure. This course can help you build a strong foundation in Python, which is a popular language for database management. You will also learn about data serialization, which is essential for sending data between different systems. Additionally, the final project in this course will give you hands-on experience with building a database management application.
Network Administrator
A Network Administrator is a professional who manages and maintains computer networks. They use network administration tools and techniques to ensure that networks are available, reliable, and secure. This course can help you build a strong foundation in Python, which is a popular language for network administration. You will also learn about data serialization, which is essential for sending data between different systems. Additionally, the final project in this course will give you hands-on experience with building a network administration application.
IT Manager
An IT Manager is a professional who manages and oversees an organization's IT department. They are responsible for planning, implementing, and managing IT systems and services. This course can help you build a strong foundation in Python, which is a popular language for IT management. You will also learn about data serialization, which is essential for sending data between different systems. Additionally, the final project in this course will give you hands-on experience with building an IT management application.
Computer Scientist
A Computer Scientist is a professional who studies the theory and design of computer systems. They use mathematical and computational techniques to develop new algorithms and technologies. This course can help you build a strong foundation in Python, which is a popular language for computer science research. You will also learn about data serialization, which is essential for sending data between different systems. Additionally, the final project in this course will give you hands-on experience with building a computer science research application.
Computer Programmer
A Computer Programmer is a professional who writes and maintains computer programs. They use programming languages and software development tools to create programs that meet the needs of users. This course can help you build a strong foundation in Python, which is a popular language for computer programming. You will also learn about data serialization, which is essential for sending data between different systems. Additionally, the final project in this course will give you hands-on experience with building a computer programming application.

Reading list

We've selected 11 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 Automating Real-World Tasks with Python.
Is written by the creator of the popular LearnPython.org website. It provides a comprehensive introduction to Python programming through hands-on exercises. The book covers various Python concepts, including data types, variables, control flow, functions, and object-oriented programming.
Provides a practical introduction to Python programming, focusing on automating repetitive tasks. It covers Python concepts such as data types, variables, control flow, functions, and data files. The book is suitable for beginners with no prior programming experience.
Provides practical advice on how to write better Python code. It covers topics such as code organization, maintainability, optimization, and testing. The book is suitable for experienced Python programmers who want to improve their coding skills.
Teaches Python programming through a series of exercises that gradually increase in difficulty. It covers various Python concepts, including data types, variables, control flow, functions, and object-oriented programming. The book is suitable for beginners and experienced programmers alike who want to improve their Python skills.
Provides a collection of recipes for solving common Python programming problems. It covers various topics, including data processing, web development, GUI programming, and system administration. The book is suitable for experienced Python programmers who want to learn more about practical Python programming.
Provides a comprehensive guide to the Python standard library. It covers various modules, including operating system, networking, database, and GUI programming. The book is suitable for experienced Python programmers who want to learn more about the Python standard library.
Provides a comprehensive guide to Python for data science. It covers various topics, including data manipulation, data visualization, machine learning, and natural language processing. The book is suitable for experienced Python programmers who want to learn more about data science.
Provides a comprehensive guide to machine learning and deep learning with Python. It covers various topics, including supervised learning, unsupervised learning, and deep neural networks. The book is suitable for experienced Python programmers who want to learn more about machine learning.
Provides a hands-on guide to deep learning with Python. It covers various topics, including deep neural networks, convolutional neural networks, and recurrent neural networks. The book is suitable for beginners who want to learn more about deep learning.
Provides a hands-on guide to machine learning with Python. It covers various topics, including supervised learning, unsupervised learning, and deep neural networks. The book is suitable for beginners who want to learn more about machine learning with Python.

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