Intermediate Python for Non-Programmers.zip
611.2 MB
π7β€1π₯1
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Python: Working with Files
π Author: Kathryn Hodge
πΈ Date: 2021-07-21
β° Duration: 1h 42m
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π Topics: Process Automation, File Handling, Python
π· Join @linkedin_learning for more courses
π Author: Kathryn Hodge
πΈ Date: 2021-07-21
β° Duration: 1h 42m
π
Learn how you can use Python to automate operating system tasks, aggregate data across multiple sources, save results to files, and level up your Python applications.
π Topics: Process Automation, File Handling, Python
π· Join @linkedin_learning for more courses
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Python - Working with Files.zip
226 MB
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Hands-On Introduction: Python
π Author: Ronnie Sheer
πΈ Date: 2022-11-09
β° Duration: 1h 2m
π
π Topics: Python
π· Join @linkedin_learning for more courses
π Author: Ronnie Sheer
πΈ Date: 2022-11-09
β° Duration: 1h 2m
π
Explore the fundamental skills you need to know as a coder to take your knowledge of Python to the next level.
π Topics: Python
π· Join @linkedin_learning for more courses
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πΈ Full description πΈ
If youre an early-stage Python user looking to boost your professional game, you need to set aside the timeβand bandwidthβto study up and advance your skills. Practice makes perfect, they say, so why not start right now? In this course, instructor Ronnie Sheer shows you the tools, techniques, and practical know-how of expert Python users, with twenty hands-on, interactive coding challenges to test out your skills as you go. Take your existing Python proficiency to the next level with tips on scope, strings, loops, CSV data, calculations, JSON data sets, web servers, and more. By the end of this course, youll be equipped with newly honed expert moves to keep learning on your upcoming projects.The best way to learn a language is to use it in practice. Thats why this course is integrated with GitHub Codespaces, an instant cloud developer environment that offers all the functionality of your favorite IDE without the need for any local machine setup. With GitHub Codespaces, you can get hands-on practice from any machine, at any timeβall while using a tool that youll likely encounter in the workplace. Check out the βUsing GitHub Codespaces with this courseβ video to learn how to get started.
If youre an early-stage Python user looking to boost your professional game, you need to set aside the timeβand bandwidthβto study up and advance your skills. Practice makes perfect, they say, so why not start right now? In this course, instructor Ronnie Sheer shows you the tools, techniques, and practical know-how of expert Python users, with twenty hands-on, interactive coding challenges to test out your skills as you go. Take your existing Python proficiency to the next level with tips on scope, strings, loops, CSV data, calculations, JSON data sets, web servers, and more. By the end of this course, youll be equipped with newly honed expert moves to keep learning on your upcoming projects.The best way to learn a language is to use it in practice. Thats why this course is integrated with GitHub Codespaces, an instant cloud developer environment that offers all the functionality of your favorite IDE without the need for any local machine setup. With GitHub Codespaces, you can get hands-on practice from any machine, at any timeβall while using a tool that youll likely encounter in the workplace. Check out the βUsing GitHub Codespaces with this courseβ video to learn how to get started.
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Hands-On Introduction: Python.zip
170.1 MB
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Advanced Python: Practical Database Examples
π Author: Kathryn Hodge
πΈ Date: 2023-05-08
β° Duration: 1h 48m
π
π Topics: Database Development, Python
π· Join @linkedin_learning for more courses
π Author: Kathryn Hodge
πΈ Date: 2023-05-08
β° Duration: 1h 48m
π
Level up as a Python developer working with databases in this advanced, skills-based course.
π Topics: Database Development, Python
π· Join @linkedin_learning for more courses
β€6π4π₯1
πΈ Full description πΈ
Looking for a hands-on opportunity to take your Python skills to the next level? In this course, instructor Kathryn Hodge takes you through a series of practical database examples to help level up your Python applications.Learn how to create an API that serves data from a database using FastAPI, Flask, MySQL, Postman, SQLAlchemy, endpoints, and more. Get proven tips on how to develop analysis applications with pandas, the high-performance Python library featuring robust and integrated built-in data structures. Test out your new coding skills as you go in the exercise challenges at the end of each section. By the end of this course, youll be ready to start building full-stack task list applications with Flask, a microframework designed uniquely for Python that lets you integrate data from a database directly to an app.
Looking for a hands-on opportunity to take your Python skills to the next level? In this course, instructor Kathryn Hodge takes you through a series of practical database examples to help level up your Python applications.Learn how to create an API that serves data from a database using FastAPI, Flask, MySQL, Postman, SQLAlchemy, endpoints, and more. Get proven tips on how to develop analysis applications with pandas, the high-performance Python library featuring robust and integrated built-in data structures. Test out your new coding skills as you go in the exercise challenges at the end of each section. By the end of this course, youll be ready to start building full-stack task list applications with Flask, a microframework designed uniquely for Python that lets you integrate data from a database directly to an app.
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Advanced Python: Practical Database Examples.zip
253.9 MB
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Using Python with Excel
π Author: Anthony Sagely
πΈ Date: 2019-10-31
β° Duration: 1h 22m
π
π Topics: Microsoft Excel, Python
π· Join @linkedin_learning for more courses
π Author: Anthony Sagely
πΈ Date: 2019-10-31
β° Duration: 1h 22m
π
Take your Excel skills further by using Python. Discover how to inspect, filter, clean, convert, and visualize data with Excel and Python libraries like pandas and openpyxl.
π Topics: Microsoft Excel, Python
π· Join @linkedin_learning for more courses
π9β€1π₯1
πΈ Full description πΈ
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.
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.
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LinkedIn - Using Python with Excel.zip
168.1 MB
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Managing Python Projects
π Author: Miki Tebeka
πΈ Date: 2019-12-06
β° Duration: 48m
π
π Topics: Python
π· Join @linkedin_learning for more courses
π Author: Miki Tebeka
πΈ Date: 2019-12-06
β° Duration: 48m
π
Get tips for efficiently managing your Python projects. Learn how to help your team stay coordinated as you bring your projects to the finish line.
π Topics: Python
π· Join @linkedin_learning for more courses
π4β€1π₯1
πΈ Full description πΈ
While the work of coding can be a solitary endeavor, software developers don't work in a vacuum. In order to successfully bring their projects to the finish line, they must spend their days coordinating effectively with other developers. In this course, join Miki Tebeka as he shares best practices and tips for efficiently managing Python projects. Miki covers the essential non-coding tasks around Python programming, including how to best approach the directory structure for a project, tackle challenges related to dependency management, and determine what (and how much) to test. Plus, get general strategies for handling the development process, including how to use source control and issue tracking systems effectively.
While the work of coding can be a solitary endeavor, software developers don't work in a vacuum. In order to successfully bring their projects to the finish line, they must spend their days coordinating effectively with other developers. In this course, join Miki Tebeka as he shares best practices and tips for efficiently managing Python projects. Miki covers the essential non-coding tasks around Python programming, including how to best approach the directory structure for a project, tackle challenges related to dependency management, and determine what (and how much) to test. Plus, get general strategies for handling the development process, including how to use source control and issue tracking systems effectively.
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LinkedIn - Managing Python Projects.zip
120.5 MB
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Building Tools with Python
π Author: Scott Simpson
πΈ Date: 2020-02-04
β° Duration: 56m
π
π Topics: Python
π· Join @linkedin_learning for more courses
π Author: Scott Simpson
πΈ Date: 2020-02-04
β° Duration: 56m
π
Streamline workflows by developing custom tools with Python. Learn about designing for end users, craftsmanship, and trust as they relate to building small software utilities.
π Topics: Python
π· Join @linkedin_learning for more courses
π5β€3π₯1
πΈ Full description πΈ
Tools aren't the flashiest, most attention-grabbing type of software. But a great toolβone that successfully automates or enhances a repetitive processβgives valuable time back to your colleagues, allowing them to spend less time clicking buttons and more time on thoughtful projects. Tool development exists in a space between IT support and software engineering, and if youre tasked with creating tools, there are some important principles to keep in mind. In this course, Scott Simpson discusses designing for end users, craftsmanship, and trust as they relate to building small software utilities. He surveys concepts related to tool development, and uses Python to explore ideas that youll want to keep in mind when developing tools for your users.
Tools aren't the flashiest, most attention-grabbing type of software. But a great toolβone that successfully automates or enhances a repetitive processβgives valuable time back to your colleagues, allowing them to spend less time clicking buttons and more time on thoughtful projects. Tool development exists in a space between IT support and software engineering, and if youre tasked with creating tools, there are some important principles to keep in mind. In this course, Scott Simpson discusses designing for end users, craftsmanship, and trust as they relate to building small software utilities. He surveys concepts related to tool development, and uses Python to explore ideas that youll want to keep in mind when developing tools for your users.
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