10. Building and Training the Model

11. H5 and Protobuf File

🔅 Python for Non-Programmers

🔊 Author: Nick Walter
🔸 Date: 2021-12-17
⏰ Duration: 1h 54m

🌀 Explore the basics of Python in a course designed specifically for beginners and non-programmers.

📗 Topics: Python

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📁 Full description

Did you know that learning Python is one of the easiest ways to learn to code? It’s true. And in this course you can avoid the jargon and make learning how to code a lot more fun. You don’t have to be an expert technician, either. Join instructor Nick Walter and find out what you need to get started now.In this course, Nick teaches the fundamentals of Python to you: a non-programmer, a user with little to no coding experience. Learn more about what Python is, and what it is and isn’t used for. Explore how Python works with numbers and how you can interact with simple programs such as a simple number-guessing game. Find out how to work with text in Python by building a reusable function to count the words in a block of text. And along the way, tackle quick challenges and other games that allow you to put your new skills to the test.

🔅 Level Up: Python

🔊 Author: Barron Stone
🔸 Date: 2022-11-09
⏰ Duration: 57m

🌀 Want to test your Python skills? These concise, self-contained challenges let you stretch your brain and test your talents.

📗 Topics: Python

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🔸 Full description 🔸

Want to test your Python skills? These concise challenges let you stretch your brain and test your talents. Instructor Barron Stone shares over a dozen Python challenges, as well as his own solutions to each problem—the majority of which are less than two dozen lines of code. The challenges include finding prime factors, sorting strings, scheduling a function, solving a sudoku, and more. You can tackle each problem using the tools in the Python standard library, or opt for the library of your choice. And since each challenge is self-contained, you can complete the course in any order—and at your own pace. Tune in to get the hands-on practice you need to level up your skills.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 time—all while using a tool that youll likely encounter in the workplace. Each installment of the Level Up series offers at least 15 bite-sized opportunities to practice programming at various levels of difficulty, so you can challenge yourself and reinforce what youve learned. Check out the “Using GitHub Codespaces with this course” video to learn how to get a codespace up and running.

🔅 Intermediate Python for Non-Programmers

🔊 Author: Nick Walter
🔸 Date: 2022-12-09
⏰ Duration: 4h 32m

🌀 Explore intermediate-level strategies and techniques for writing code in Python as a non-programmer.

📗 Topics: Programming, Python

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🔸 Full description 🔸

Are you ready to take your Python skills to the next level, but not sure how to proceed? Join instructor Nick Walter in this intermediate-level course, part two of his previous course Python for Non-Programmers, designed specifically for learners with little to no coding experience.Push your skill set with more advanced concepts and coding challenges by completing the three practice projects, including a weather forecaster, web scraper, and to-do list. Learn more about classes in object-oriented programming as well as functional programming tools and how to create, edit, and delete files. Get tips for running Python like a pro, coding it from anywhere, on any type of operating system. By the end of this course, youll have upgraded your toolkit as a developer and will feel more comfortable with Python coding.

📦 Exercice Files

🔅 Python: Working with Files

🔊 Author: Kathryn Hodge
🔸 Date: 2021-07-21
⏰ Duration: 1h 42m

🌀 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.

📗 Topics: Process Automation, File Handling, Python

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📦 Exercice Files

🔅 Hands-On Introduction: Python

🔊 Author: Ronnie Sheer
🔸 Date: 2022-11-09
⏰ Duration: 1h 2m

🌀 Explore the fundamental skills you need to know as a coder to take your knowledge of Python to the next level.

📗 Topics: Python

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🔸 Full description 🔸

If youre an early-stage Python user looking to boost your professional game, you need to set aside the time—and bandwidth—to 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 time—all while using a tool that youll likely encounter in the workplace. Check out the “Using GitHub Codespaces with this course” video to learn how to get started.

🔅 Advanced Python: Practical Database Examples

🔊 Author: Kathryn Hodge
🔸 Date: 2023-05-08
⏰ Duration: 1h 48m

🌀 Level up as a Python developer working with databases in this advanced, skills-based course.

📗 Topics: Database Development, Python

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🔸 Full description 🔸

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.