Visual Studio (VS) Code—the optimized code editor for Windows, macOS, and Linux—provides stellar support for Python right out of the box. Even if you’re already familiar with VS Code, this course can help you speed up your development work by highlighting how to best leverage this popular code editor when developing Python apps. Instructor Joe Marini covers everything from writing and debugging Python code, to using the built-in refactoring tools to make your code easier to maintain, to maximizing your productivity with must-have extensions such as REST Client. After wrapping up this course, you’ll have the knowledge you need to make the most out of VS Code when working with Python projects.

Topics include:

• Constructing a simple Python program in VS Code
• Editing, formatting, and refactoring Python code
• Debugging Python code
• Setting breakpoints
• Using Python docstring
• Creating better comments for your source code
• Using the REST Client extension

About the Author

Joe Marini is a senior developer advocate at Google and a developer of Dreamweaver and Windows Phone.

Joe has worked in the web and software industries for more than 20 years. He was an original member of the Dreamweaver engineering team at Macromedia, and held prominent early roles in creating products such as QuarkXPress, Microsoft Expression Blend, mFactory's mTropolis, and Extensis QX-Tools. He is regularly a featured speaker at industry conferences and has authored or co-authored several publications on web and software development. Prior to Google, Joe was responsible for the mobile web developer platform for Windows Phone 7 at Microsoft. His book, The Document Object Model, is widely regarded as the definitive resource for working with the DOM.

Video Details

• Full Video Tutorials
• Video File Format: MP4
• Skill Level: Beginner
• Video Duration: 59m 11s
• Instructor: Joe Marini

The post Visual Studio Code for Python Developers appeared first on EASY Digital Pro.

Python is the world's fastest growing programming language. It's a powerful tool that is helping to streamline development and data science. In this course from Madecraft, you can learn how to combine the power of the Python language with the data analysis and reporting tools in Microsoft Excel. Discover how to leverage the pandas and openpyxl libraries to inspect, filter, clean, and convert data and how to build solid reports that help businesses take action. Discover how to work with large amounts of data that would be unmanageable in Excel alone. By the end of this course, viewers will learn how this combination of tools can lead businesses to better insights than ever before.

This course was created by Madecraft. We are pleased to host this content in our library.

Topics include:

• Loading and saving data with pandas
• Filtering and sorting data with pandas
• Formatting workbooks with openpyxl
• Creating graphs and charts with openpyxl
• Converting data
• Advanced graphing

About the Author

Anthony Sagely is a Python instructor who is passionate about data science and automation.

Anthony teaches Python, Excel, and data science to companies who seek to solve problems and find efficiencies in their workflow.

Product Details

• Full Video Tutorials
• Video File Format: MP4
• Skill Level: Intermediate
• Video Duration: 1h 22m
• Instructor: Anthony Sagely

The post Using Python with Excel appeared first on EASY Digital Pro.

In any organization, there are tasks that would benefit from automation, but often the processes are too niche for standard software. Python is an easy-to-learn programming language that allows organizations to script custom automation and reap the time-savings. In this course, you can learn how to automate your own repetitive tasks using Python. This course provides a “cookbook” for developers and non-developers alike, allowing you to automate almost anything: from filling out PDFs and launching programs, to sending emails and voicemails, working with calendars, and organizing files and folders. Discover how to use Python and open-source libraries and tools such as Beautiful Soup and Selenium to craft elegant solutions that do the grunt work for you.

This course was created by Madecraft. We are pleased to host this content in our library.

Topics include:

• Reading and writing files
• Organizing directories
• Web scraping with Beautiful Soup
• Automating web browsing with Selenium
• Automating with APIS
• Creating API requests
• Linking API calls

About the Author

Sam Pettus is an avid Python developer and excels at helping individuals unlock confidence in programming.

Sam is invested in workforce transition training, helping individuals gain the skills necessary to move into new roles in the technology sector.

Sam also provides consulting to corporations who seek to use automation to solve problems and increase the efficiency of their business processes.

Product Details

• Full Video Tutorials
• Video File Format: MP4
• Skill Level: Advanced
• Video Duration: 56m 11s
• Instructor: Sam Pettus

The post Using Python for Automation appeared first on EASY Digital Pro.

Python—the popular and highly readable object-oriented language—is both powerful and relatively easy to learn. Whether you're new to programming or an experienced developer, this course can help you get started with Python. Joe Marini provides an overview of the installation process, basic Python syntax, and an example of how to construct and run a simple Python program. Learn to work with dates and times, read and write files, and retrieve and parse HTML, JSON, and XML data from the web.

Topics include:

• Installing Python
• Choosing an editor or IDE
• Working with variables and expressions
• Writing loops
• Using the date, time, and datetime classes
• Reading and writing files
• Fetching internet data
• Parsing and processing HTML

About the Author

Joe Marini is a senior developer advocate at Google and a developer of Dreamweaver and Windows Phone.

Joe has worked in the web and software industries for more than 20 years. He was an original member of the Dreamweaver engineering team at Macromedia, and held prominent early roles in creating products such as QuarkXPress, Microsoft Expression Blend, mFactory's mTropolis, and Extensis QX-Tools. He is regularly a featured speaker at industry conferences and has authored or co-authored several publications on web and software development. Prior to Google, Joe was responsible for the mobile web developer platform for Windows Phone 7 at Microsoft. His book, The Document Object Model, is widely regarded as the definitive resource for working with the DOM.

Product Details

• Full Video Tutorials
• Video File Format: MP4
• Skill Level: Beginner
• Video Duration: 2h 27m
• Instructor: Joe Marini

The post Up and Running with Python appeared first on EASY Digital Pro.

With Django, you can take web applications from concept to launch in a matter of hours. It's a free and open-source framework that's designed on top of Python and supports data-driven architecture. In this course, learn what you need to know to get up and running with Django. Instructor Caleb Smith walks through creating a brand-new Django project, defining a data model and fields, querying the database, and using the framework's built-in URL handlers, views, and templates to structure the rest of the back end. Plus, learn how to incorporate CSS and JavaScript to enhance the style and usability of your Django templates.

About the Author

Caleb Smith is a software developer, speaker, trainer, open-source contributor, and organizer.

Python, JavaScript, or Clojure, Caleb Smith can code it. He shares his love of programming via teaching. Currently, he is a Clojure developer in the transportation logistics industry. He also worked for 4 years as a Python and JavaScript developer at Caktus Consulting Group. Caleb has an educational training background and has taught and developed curriculum for lynda.com, UNC-Chapel Hill, and community organizations such as Girl Develop It RDU.

Product Details

• Full Video Tutorials
• Video File Format: MP4
• Skill Level: Beginner
• Video Duration: 1h 40m
• Instructor: Caleb Smith

The post Learning Django appeared first on EASY Digital Pro.

Unit testing—which involves testing small, isolatable pieces of code—can help you catch and fix bugs before they crop up in your final product. And by adopting test-driven development (TDD) and writing unit tests before production code, you can take even greater responsibility for your project's quality. Curious about how to best approach unit testing in your own Python projects? This course shows you how. Join instructor Jasmine Omeke as she goes over TDD techniques for Python projects using the pytest testing framework and a Docker container.

Jasmine begins by providing a basic overview of both TDD and pytest as she shows how to write a basic test. She then delves into how to use pytest features to automatically run unit tests, as well as how to best organize your pytest projects. Then, see how to hop into an existing project and use pytest tests to figure out the core behavior of the source code, determine which source code functions still need to be tested, and add in more tests.

About the Author

Jasmine Omeke is a software developer and former Fulbright scholar.

Jasmine currently leverages her engineering expertise as a software engineer 2 at Braintree, a division of PayPal. In her role, she focuses on big data platform infrastructure and uses test-driven Java and Python. She has also contributed to open-source projects such as gRPC, Apache Airflow, and pytest.

After graduating cum laude from Harvard with a BA in social studies with a focus on urban planning, Jasmine learned how to code on the job and continued honing her programming and data science skills by earning an MS in computer science. She was a recipient of the 2015–2016 Fulbright U.S. Student Program grant. In her free time, she likes biking and creating digital maps.

Product Details

• Full Video Tutorials
• Video File Format: MP4
• Skill Level: Advanced
• Video Duration: 1h 29m
• Instructor: Jasmine Omeke

The post Unit Testing in Python appeared first on EASY Digital Pro.

Learn how to analyze SQL Server data with Python. Database expert Adam Wilbert shows how to use a powerful combination of tools, including high-performance Python libraries and the Machine Learning Services add-on, directly inside SQL Server to streamline analysis. Adam shows how to use Python scripts to perform statistical analysis, generate graphics such as scatterplots and bar charts, and process tabular data. He also explains how to turn a Python script into a stored procedure and set up standalone ML services to execute scripts without impacting SQL Server performance.

Topics include:

• Analyzing SQL Server data with Python
• Installing Machine Learning Services
• Writing Python scripts for SQL Server
• Python packages and libraries
• Producing graphics with Matplotlib
• Processing tabular data
• Creating a SQL stored procedure
• Creating an external data science client

About the Author

Adam Wilbert is a data visualization expert who helps clients get better insights from their data.

As a consultant and trainer, Adam has spent over 5 years helping government, enterprise, and nonprofit clients use Access and Excel efficiently. Adam has developed Access databases for National Park Service managers and U.S. Geological Survey scientists, in addition to leading Access and Excel workshops throughout the United States through a partnership with Northwest Environmental Training Center. His in-depth multi-day training events benefit private firms such as Boeing and Verizon, NGOs, and government employees in agencies such as the Environmental Protection Agency, Bureau of Land Management, and the Army Corps of Engineers.

As the founder of CartoGaia, a cartography firm, Adam produces publication quality mapping products to explore awareness in the spatial arrangement of data in order to help guide policy and decision makers in a wide variety of environmental and business applications. He was chosen as a featured contributor to the inaugural edition of the North American Cartographic Information Society's Atlas of Design.

Product Details

• Full Video Tutorials
• Video File Format: MP4
• Skill Level: Advanced
• Video Duration: 2h 28m
• Instructor: Adam Wilbert

The post SQL Server Machine Learning Services: Python appeared first on EASY Digital Pro.

With this course, gain insight into key statistical concepts and build practical analytics skills using Python and powerful third-party libraries. Instructor Michele Vallisneri covers several major skills: cleaning, visualizing, and describing data, statistical inference, and statistical modeling. All concepts are introduced by analyzing intriguing real-world datasets and discussed from a machine-learning perspective—which assumes that powerful computation can replace complex mathematics.

Topics include:

• Installing and setting up Python
• Importing and cleaning data
• Visualizing data
• Describing distributions and categorical variables
• Using basic statistical inference and modeling techniques
• Bayesian inference

About the Author

Michele Vallisneri is a theoretical astrophysicist at NASA Jet Propulsion Laboratory.

He obtained his PhD in physics at the California Institute of Technology in 2002. His research spans the detection and interpretation of gravitational waves with LIGO, in space, and with pulsar timing. He is an expert in data analysis, Bayesian inference, and computational physics, and he believes that elegant, transparent programming can illuminate the hardest problems. He is a Fellow of the American Physical Society, and he was awarded the NASA Exceptional Scientific Achievement Medal.

Product Details

• Full Video Tutorials
• Video File Format: MP4
• Skill Level: Intermediate
• Video Duration: 2h 58m
• Instructor: Michele Vallisneri

The post Python Statistics Essential Training appeared first on EASY Digital Pro.

Cut down on your development time by learning how to write elegant code in an efficient manner, specifically in Python—the popular and pragmatic computer language. Michele Vallisneri explains how to make your Python code more expressive and concise, and leverage the most powerful features of the language. He shines a spotlight on some of the strongest third-party packages you can take advantage of, discusses object-oriented and functional programming, and shares strategies for improving the performance of your code. Michele illustrates these concepts with many intriguing examples, showing how to make 3D images and animations of the sun, draw fractals, implement a graphical programming language, and more.

About the Author

Michele Vallisneri is a theoretical astrophysicist at NASA Jet Propulsion Laboratory.

He obtained his PhD in physics at the California Institute of Technology in 2002. His research spans the detection and interpretation of gravitational waves with LIGO, in space, and with pulsar timing. He is an expert in data analysis, Bayesian inference, and computational physics, and he believes that elegant, transparent programming can illuminate the hardest problems. He is a Fellow of the American Physical Society, and he was awarded the NASA Exceptional Scientific Achievement Medal.

Product Details

• Full Video Tutorials
• Video File Format: MP4
• Skill Level: Intermediate
• Video Duration: 2h 19m
• Instructor: Michele Vallisneri

The post Python: Programming Efficiently appeared first on EASY Digital Pro.

The object-oriented programming (OOP) features in Python make it easier to build programs of increasing complexity and modularity. In this course, you can learn how to apply core OOP principles like inheritance and composition along with some Python-specific features like “magic” methods and data classes to build programs that are extensible and efficient. Begin by brushing up on some object-oriented basics, and then use Python features like magic methods to make your classes integrate tightly with the Python language and data classes to dramatically reduce the amount of boilerplate code needed to build data-centric objects.

Topics include:

• Defining classes
• Checking instance types
• Using multiple inheritance
• Creating objects with composition
• Leveraging magic methods
• Calling objects like functions
• Defining data classes
• Creating immutable data classes

About the Author

Joe Marini is a senior developer advocate at Google and a developer of Dreamweaver and Windows Phone.

Joe has worked in the web and software industries for more than 20 years. He was an original member of the Dreamweaver engineering team at Macromedia, and held prominent early roles in creating products such as QuarkXPress, Microsoft Expression Blend, mFactory's mTropolis, and Extensis QX-Tools. He is regularly a featured speaker at industry conferences and has authored or co-authored several publications on web and software development. Prior to Google, Joe was responsible for the mobile web developer platform for Windows Phone 7 at Microsoft. His book, The Document Object Model, is widely regarded as the definitive resource for working with the DOM.

Product Details

• Full Video Tutorials
• Video File Format: MP4
• Skill Level: Intermediate
• Video Duration: 1h 36m
• Instructor: Joe Marini

The post Python Object-Oriented Programming appeared first on EASY Digital Pro.