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Paweł Kordek
Learn how to work with very large datasets without leaving familiar and rich Python data ecosystem. This course will teach you how to leverage power of Dask library in order to handle data that is too big for regular tools like Pandas or NumPy.
Read more
Learn how to work with very large datasets without leaving familiar and rich Python data ecosystem. This course will teach you how to leverage power of Dask library in order to handle data that is too big for regular tools like Pandas or NumPy.
Read more
Learn how to work with very large datasets without leaving familiar and rich Python data ecosystem. This course will teach you how to leverage power of Dask library in order to handle data that is too big for regular tools like Pandas or NumPy.
Working with so-called ‘Big Data’ can be a daunting task and many tools that solve this problem have a very steep learning curve. Also, developers familiar with Python may not want to resort to solutions built on another technology stack. In this course, Scaling Python Data Applications with Dask 1, you will gain the ability to work with very large datasets using a Python-native and approachable tool. First, you will learn how to use Dask when your application written using standard Python stops working because of the growing size of the data. Next, you will discover how Dask works underneath and what techniques it uses to make processing large datasets in various scenarios possible and accessible. Finally, you will explore how to exchange Pandas and NumPy for their Big Data variants, with practically no changes to the code. When you’re finished with this course, you will have the skills and knowledge of Dask needed to confidently write data applications that scale, using exclusively Python stack.
Register for this course and see more details by visiting:
OpenCourser.com/course/qx7t23/scaling
What's inside
Syllabus
Course Overview
Understanding Dask
Scaling Simple Python Data Apps
Dask Internals and Dashboard
Read more
Syllabus
Course Overview
Understanding Dask
Scaling Simple Python Data Apps
Dask Internals and Dashboard
Read more
Scaling NumPy and Pandas
Beyond Single Machine
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Teaches learners how to use Python libraries to work with Big Data, which is becoming increasingly important across industries
Employs industry-standard Python tools, so learners can seamlessly integrate their new skills into their existing workflows
Provides hands-on experience through the Dask library, giving learners practical skills they can apply immediately
Assumes learners have a foundation in Python, so those new to the language may need to catch up before enrolling
Save this course
Save Scaling Python Data Applications with Dask 1 to your list so you can find it easily later:
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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 Scaling Python Data Applications with Dask 1 with these
activities:
Review Python Data Structures and Algorithms
Show steps
Refresh your understanding of Python data structures and algorithms to strengthen your foundation for working with large datasets.
Browse courses on
Data Types
Show steps
-
Write unit tests to verify your implementations
-
Review popular Python data structures and their applications
-
Implement common sorting and searching algorithms in Python
Review Python Programming Principles
Show steps
This course requires a basic understanding of programming principles to ensure a solid foundation.
Browse courses on
Python Programming
Show steps
-
Review basic data structures like lists, tuples, and dictionaries.
-
Practice writing simple functions and classes.
Walkthrough Dask Tutorial
Show steps
Follow a guided tutorial on Dask to become familiar with its core concepts and functionalities.
Show steps
-
Set up your Dask environment
-
Create a Dask DataFrame and perform basic operations
-
Explore Dask's parallel computing capabilities
Five other activities
Expand to see all activities and additional details
Show all eight activities
Develop a Dask-based Data Processing Pipeline
Show steps
Create a data processing pipeline using Dask to gain hands-on experience in handling large datasets effectively.
Show steps
-
Design a data processing workflow
-
Implement the pipeline using Dask
-
Optimize and evaluate the performance of your pipeline
Solve Dask Coding Challenges
Show steps
Sharpen your Dask skills and problem-solving abilities by working through coding challenges specifically designed for Dask.
Show steps
-
Find online Dask coding challenges
-
Attempt to solve the challenges using Dask
-
Review your solutions and learn from your mistakes
Join a Dask Study Group or Online Community
Show steps
Engage with other Dask learners to exchange knowledge, ask questions, and enhance your understanding.
Show steps
-
Find a Dask study group or online community
-
Introduce yourself and ask questions
-
Participate in discussions and share your knowledge
Build a Data Visualization Dashboard with Dask
Show steps
Create an interactive data visualization dashboard using Dask to gain hands-on experience in presenting large datasets visually.
Show steps
-
Design the dashboard and identify relevant data
-
Use Dask to process and transform the data
-
Build the dashboard using Plotly or other visualization libraries
Become a Mentor for Beginner Dask Users
Show steps
Deepen your understanding of Dask by mentoring others and reinforcing your own knowledge through teaching.
Show steps
-
Identify opportunities to mentor others
-
Prepare materials and resources
-
Guide and support beginner Dask users
Review Python Data Structures and Algorithms
Show steps
Refresh your understanding of Python data structures and algorithms to strengthen your foundation for working with large datasets.
Browse courses on
Data Types
Show steps
Show steps
Show steps
- Write unit tests to verify your implementations
- Review popular Python data structures and their applications
- Implement common sorting and searching algorithms in Python
Review Python Programming Principles
Show steps
This course requires a basic understanding of programming principles to ensure a solid foundation.
Browse courses on
Python Programming
Show steps
Show steps
Show steps
- Review basic data structures like lists, tuples, and dictionaries.
- Practice writing simple functions and classes.
Walkthrough Dask Tutorial
Show steps
Follow a guided tutorial on Dask to become familiar with its core concepts and functionalities.
Show steps
Show steps
Show steps
- Set up your Dask environment
- Create a Dask DataFrame and perform basic operations
- Explore Dask's parallel computing capabilities
Five other activities
Expand to see all activities and additional details
Show all eight activities
Develop a Dask-based Data Processing Pipeline
Show steps
Create a data processing pipeline using Dask to gain hands-on experience in handling large datasets effectively.
Show steps
Show steps
Show steps
- Design a data processing workflow
- Implement the pipeline using Dask
- Optimize and evaluate the performance of your pipeline
Solve Dask Coding Challenges
Show steps
Sharpen your Dask skills and problem-solving abilities by working through coding challenges specifically designed for Dask.
Show steps
Show steps
Show steps
- Find online Dask coding challenges
- Attempt to solve the challenges using Dask
- Review your solutions and learn from your mistakes
Join a Dask Study Group or Online Community
Show steps
Engage with other Dask learners to exchange knowledge, ask questions, and enhance your understanding.
Show steps
Show steps
Show steps
- Find a Dask study group or online community
- Introduce yourself and ask questions
- Participate in discussions and share your knowledge
Build a Data Visualization Dashboard with Dask
Show steps
Create an interactive data visualization dashboard using Dask to gain hands-on experience in presenting large datasets visually.
Show steps
Show steps
Show steps
- Design the dashboard and identify relevant data
- Use Dask to process and transform the data
- Build the dashboard using Plotly or other visualization libraries
Become a Mentor for Beginner Dask Users
Show steps
Deepen your understanding of Dask by mentoring others and reinforcing your own knowledge through teaching.
Show steps
Show steps
Show steps
- Identify opportunities to mentor others
- Prepare materials and resources
- Guide and support beginner Dask users
Career center
Learners who complete Scaling Python Data Applications with Dask 1 will develop knowledge and skills
that may be useful to these careers:
Data Engineer
Data Engineer
Data Engineers design, build, and maintain systems to manage and process data. They work with large datasets and use tools like Dask to handle the volume and complexity of data. This course will provide you with the skills and knowledge needed to become a successful Data Engineer. You will learn how to use Dask to scale your Python data applications and work with very large datasets. This course will also teach you how to use Dask Internals and Dashboard, and how to scale NumPy and Pandas.
Data Scientist
Data Scientist
Data Scientists use data to solve real-world problems. They work with large datasets and use tools like Dask to handle the volume and complexity of data. This course will provide you with the skills and knowledge needed to become a successful Data Scientist. You will learn how to use Dask to scale your Python data applications and work with very large datasets. This course will also teach you how to use Dask Internals and Dashboard, and how to scale NumPy and Pandas.
Software Engineer
Software Engineer
Software Engineers design, build, and maintain software applications. They work with large datasets and use tools like Dask to handle the volume and complexity of data. This course will provide you with the skills and knowledge needed to become a successful Software Engineer. You will learn how to use Dask to scale your Python data applications and work with very large datasets. This course will also teach you how to use Dask Internals and Dashboard, and how to scale NumPy and Pandas.
Database Administrator
Database Administrator
Database Administrators manage and maintain databases. They work with large datasets and use tools like Dask to handle the volume and complexity of data. This course will provide you with the skills and knowledge needed to become a successful Database Administrator. You will learn how to use Dask to scale your Python data applications and work with very large datasets. This course will also teach you how to use Dask Internals and Dashboard, and how to scale NumPy and Pandas.
Data Analyst
Data Analyst
Data Analysts use data to identify trends and patterns. They work with large datasets and use tools like Dask to handle the volume and complexity of data. This course will provide you with the skills and knowledge needed to become a successful Data Analyst. You will learn how to use Dask to scale your Python data applications and work with very large datasets. This course will also teach you how to use Dask Internals and Dashboard, and how to scale NumPy and Pandas.
Business Intelligence Analyst
Business Intelligence Analyst
Business Intelligence Analysts use data to improve business decisions. They work with large datasets and use tools like Dask to handle the volume and complexity of data. This course will provide you with the skills and knowledge needed to become a successful Business Intelligence Analyst. You will learn how to use Dask to scale your Python data applications and work with very large datasets. This course will also teach you how to use Dask Internals and Dashboard, and how to scale NumPy and Pandas.
Statistician
Statistician
Statisticians use data to solve problems and make informed decisions. They work with large datasets and use tools like Dask to handle the volume and complexity of data. This course may help you develop the skills and knowledge needed to become a successful Statistician. You will learn how to use Dask to scale your Python data applications and work with very large datasets.
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers build and maintain machine learning models. They work with large datasets and use tools like Dask to handle the volume and complexity of data. This course may help you develop the skills and knowledge needed to become a successful Machine Learning Engineer. You will learn how to use Dask to scale your Python data applications and work with very large datasets.
Financial Analyst
Financial Analyst
Financial Analysts use data to make investment decisions. They work with large datasets and use tools like Dask to handle the volume and complexity of data. This course may help you develop the skills and knowledge needed to become a successful Financial Analyst. You will learn how to use Dask to scale your Python data applications and work with very large datasets.
Operations Research Analyst
Operations Research Analyst
Operations Research Analysts use data to improve business operations. They work with large datasets and use tools like Dask to handle the volume and complexity of data. This course may help you develop the skills and knowledge needed to become a successful Operations Research Analyst. You will learn how to use Dask to scale your Python data applications and work with very large datasets.
Actuary
Actuary
Actuaries use data to assess risk and uncertainty. They work with large datasets and use tools like Dask to handle the volume and complexity of data. This course may help you develop the skills and knowledge needed to become a successful Actuary. You will learn how to use Dask to scale your Python data applications and work with very large datasets.
Quantitative Analyst
Quantitative Analyst
Quantitative Analysts use data to make investment decisions. They work with large datasets and use tools like Dask to handle the volume and complexity of data. This course may help you develop the skills and knowledge needed to become a successful Quantitative Analyst. You will learn how to use Dask to scale your Python data applications and work with very large datasets.
Data Visualization Analyst
Data Visualization Analyst
Data Visualization Analysts use data to create visual representations of data. They work with large datasets and use tools like Dask to handle the volume and complexity of data. This course may help you develop the skills and knowledge needed to become a successful Data Visualization Analyst. You will learn how to use Dask to scale your Python data applications and work with very large datasets.
Risk Analyst
Risk Analyst
Risk Analysts use data to assess risk and uncertainty. They work with large datasets and use tools like Dask to handle the volume and complexity of data. This course may help you develop the skills and knowledge needed to become a successful Risk Analyst. You will learn how to use Dask to scale your Python data applications and work with very large datasets.
Auditor
Auditor
Auditors use data to assess the financial health of organizations. They work with large datasets and use tools like Dask to handle the volume and complexity of data. This course may help you develop the skills and knowledge needed to become a successful Auditor. You will learn how to use Dask to scale your Python data applications and work with very large datasets.
For more career information including salaries, visit:
OpenCourser.com/course/qx7t23/scaling
Reading list
We've selected seven 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
Scaling Python Data Applications with Dask 1.
Save
This comprehensive guide provides a detailed overview of Dask's architecture, components, and usage. It serves as a valuable reference for understanding the underlying concepts and best practices for working with Dask.
Offers a comprehensive overview of data science principles and techniques using Python. It covers topics such as data exploration, machine learning, and deep learning, providing a valuable resource for those interested in the broader field of data science.
Save
Explores concurrency and parallelism in Python. It covers topics such as threads, processes, and asynchronous programming, providing a valuable resource for understanding the concepts behind parallel computing in Dask.
Offers a practical guide to data analytics using Python. It covers essential concepts, such as data wrangling, data exploration, and machine learning, providing a foundation for working with large datasets.
This textbook provides a comprehensive overview of distributed and cloud computing concepts. It covers topics such as cloud architectures, distributed algorithms, and resource management, providing a foundation for understanding the underlying principles of Dask.
This textbook offers a comprehensive overview of high-performance computing principles and techniques. It covers topics such as parallel architectures, performance analysis, and cluster computing, providing a solid foundation for understanding the broader context of Dask.
This widely-used textbook introduces the fundamentals of data analysis using Python. It covers topics such as data structures, data manipulation, and data visualization, providing a strong foundation for working with large datasets.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/qx7t23/scaling
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Time
81 hours
Level
Intermediate
Via
Pluralsight
Instructor
Paweł Kordek
Language
English
Good to know
Teaches learners how to use Python libraries to work with Big Data, which is becoming increasingly important across industries
Employs industry-standard Python tools, so learners can seamlessly integrate their new skills into their existing workflows
Provides hands-on experience through the Dask library, giving learners practical skills they can apply immediately
Assumes learners have a foundation in Python, so those new to the language may need to catch up before enrolling
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