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💻   Accessing Utils File and Helper Functions

In each notebook on the top menu:

1:   Click on "File"

2:   Then, click on "Open"

You will be able to see all the notebook files for the lesson, including any helper functions used in the notebook on the left sidebar. See the following image for the steps above.


💻   Downloading Notebooks

In each notebook on the top menu:

1:   Click on "File"

2:   Then, click on "Download as"

3:   Then, click on "Notebook (.ipynb)"


💻   Uploading Your Files

After following the steps shown in the previous section ("File" => "Open"), then click on "Upload" button to upload your files.


📗   See Your Progress

Once you enroll in this course—or any other short course on the DeepLearning.AI platform—and open it, you can click on 'My Learning' at the top right corner of the desktop view. There, you will be able to see all the short courses you have enrolled in and your progress in each one.

Additionally, your progress in each short course is displayed at the bottom-left corner of the learning page for each course (desktop view).


📱   Features to Use

🎞   Adjust Video Speed: Click on the gear icon (⚙) on the video and then from the Speed option, choose your desired video speed.

🗣   Captions (English and Spanish): Click on the gear icon (⚙) on the video and then from the Captions option, choose to see the captions either in English or Spanish.

🔅   Video Quality: If you do not have access to high-speed internet, click on the gear icon (⚙) on the video and then from Quality, choose the quality that works the best for your Internet speed.

🖥   Picture in Picture (PiP): This feature allows you to continue watching the video when you switch to another browser tab or window. Click on the small rectangle shape on the video to go to PiP mode.

√   Hide and Unhide Lesson Navigation Menu: If you do not have a large screen, you may click on the small hamburger icon beside the title of the course to hide the left-side navigation menu. You can then unhide it by clicking on the same icon again.


🧑   Efficient Learning Tips

The following tips can help you have an efficient learning experience with this short course and other courses.

🧑   Create a Dedicated Study Space: Establish a quiet, organized workspace free from distractions. A dedicated learning environment can significantly improve concentration and overall learning efficiency.

📅   Develop a Consistent Learning Schedule: Consistency is key to learning. Set out specific times in your day for study and make it a routine. Consistent study times help build a habit and improve information retention.

Tip: Set a recurring event and reminder in your calendar, with clear action items, to get regular notifications about your study plans and goals.

☕   Take Regular Breaks: Include short breaks in your study sessions. The Pomodoro Technique, which involves studying for 25 minutes followed by a 5-minute break, can be particularly effective.

💬   Engage with the Community: Participate in forums, discussions, and group activities. Engaging with peers can provide additional insights, create a sense of community, and make learning more enjoyable.

✍   Practice Active Learning: Don't just read or run notebooks or watch the material. Engage actively by taking notes, summarizing what you learn, teaching the concept to someone else, or applying the knowledge in your practical projects.


📚   Enroll in Other Short Courses

Keep learning by enrolling in other short courses. We add new short courses regularly. Visit DeepLearning.AI Short Courses page to see our latest courses and begin learning new topics. 👇

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🙂   Let Us Know What You Think

Your feedback helps us know what you liked and didn't like about the course. We read all your feedback and use them to improve this course and future courses. Please submit your feedback by clicking on "Course Feedback" option at the bottom of the lessons list menu (desktop view).

Also, you are more than welcome to join our community 👉👉 🔗 DeepLearning.AI Forum


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Welcome to the final course of the series. In this course, you learn how to extend Python with code that someone else has written and made available on the internet. One of the reasons Python is so popular is because many developers from around the world have written great code and shared that code freely online. And this lets you build on other's work, and it can make the process of writing your own code much faster. Python has tools available that lets you download and install code written by many others. This third party code is usually bundled together into something called a package, and you learn how to install Python packages, which can immediately give you additional powerful functions to call. For example, if you want your code to download a web page and extract a text and maybe summarize the text for you, you'll be able to find a free package that lets your code download and extract text. This is something you see later in this course, and will go over a lot of examples of the types of things you better get packages to do for you. So far, I've spoken a little bit about packages that let you install code that runs on your computer, but one important type of package goes further and provides application programming interfaces or APIs that lets your code call on someone else's code running on someone else's computer on the internet. For example, their API lets your computer go online and ask some other computer, say run by a weather service, to return the current weather at this moment in time in a given location. There are also APIs that you could go online and get the current news, or get stock prices, or even search the web. In addition to using APIs to gather information, code can also use APIs to even take action in the world, such as, maybe have your code use an API to send a text or email message that will land in someone else's phone, or even use an API to place an online shopping order that results in a physical product being shipped to someone's house. In programming, building on each other's work has always been a key part of how we can get so much done. It is by standing on the shoulders of giants, using other's code and much more that lets us all write code much faster and more effectively. And now, with the availability of AI chatbots, you can also get advice on what popular packages or APIs might be suitable for your project, and also have a chatbot help you write code to use these packages or APIs. On this website, we'll make many tools, packages, and APIs available to you and also show you how you can install additional packages onto your own computer. So, this course will significantly expand what your computer can do. Let's get started by looking at what the import command, which you've already seen in previous courses, is actually doing, and how the import command lets you load someone else's code. Let's go see that in the next video.
course detail
Next Lesson
Week 1: AI Python for Beginners: Extending Python with Packages and APIs
  • Introduction
    Video
    ・
    3 mins
  • Using functions from a local file
    Video with Code Example
    ・
    7 mins
  • Built-in packages
    Video with Code Example
    ・
    8 mins
  • Using third-party packages
    Video with Code Example
    ・
    8 mins
  • Installing packages
    Video with Code Example
    ・
    8 mins
  • APIs to get data from the web
    Video with Code Example
    ・
    7 mins
  • APIs to use AI models
    Video with Code Example
    ・
    9 mins
  • Install Python on your computer (Optional)
    Code Example
    ・
    10 mins
  • Conclusion
    Video
    ・
    3 mins
  • Share Your Learning Project!
    Resource
    ・
    10 mins
  • Course Feedback
  • Community