Introduction to Google Colab and Almabetter IDE

Overview

Google Colaboratory, or Google Colab, is a web-based development environment allowing users to run and write code in Python. It is free of cost environment provided by Google that enables users to execute code, save and share notebooks, and collaborate with others in real time. It can also be directly put into GitHub. In this lesson, we'll look closely at Google Colab and explore some of its features.

Getting started with Python Coding

Python may be a cross-platform programming dialect, which suggests that it can run on different platforms like 💻Windows, 🍎macOS, and 🐧Linux, and it has indeed been ported to ☕Java and .NET virtual machines. It is free and open-source.

:man_technologist:IDEs make the developer's job easier by combining necessary tools during software development. Many IDE (Integrated Development Environment) and code editors are available as per the developer's requirement. A few famous IDEs and code editors are PyCharm, Visual Studio Code, Jupyter notebook, Google Colab, etc.

Google Colab for Python Programming

Google Colab is a powerful and free development environment that provides many features for developing and running Python code. Google Colab is an excellent platform for developing and running Python code without any installations. Google Colab also provides advanced components like GPU and TPU support, which are useful for running machine learning and deep learning models. You can also use Google Colab to collaborate with others on your code in real-time by directly pushing to GitHub or sharing it via the link now, making it an excellent platform for team projects. It's an ideal platform for beginners and advanced enthusiasts.

📓 Colab, or "Collaboratory," allows you to write and execute Python in your browser, with

• Zero configuration required
• Access to GPUs free of charge
• Easy sharing

:man_student: Whether you are a understudy, a 🧑‍🔬 data researcher, or an :man_technologist: AI analyst, Colab can make your work less demanding. You'll begin your Python coding right absent from https: //colab.research.google.com/

Why use Google Colab for Python

1. Free to Use: 💰 One of the most significant advantages of Google Colab is its completely free use. You don't need to pay any subscription fees or download any software. You only need a Google account to access the service without prerequisites.
2. Cloud-Based: ☁️ Google Colab is entirely cloud-based, meaning you don't need to install anything on your computer. All the processing is done on Google's servers, which makes it easy to use on any device and also saves your PC's memory.
3. Easy Collaboration: 🤝 Google Colab makes collaborating with others in real-time easy. You can share your notebooks with others, and they can edit or view them in real time. This is particularly useful if you're working on a team project or want to share your work with others.
4. GPU Support: 💻 🎮 Google Colab provides GPU support, which helps work on deep learning or other computationally intensive tasks. You can use a GPU for free for up to 12 hours at a time, after which you'll need to request another one.
5. Built-in Libraries: 📚 Google Colab comes with many built-in libraries, such as NumPy, pandas, matplotlib, and many more, which have to import, and we can access their functionality. Even we can build our module and import it as a library to use it. You can also install additional libraries using pip, which makes it easy to work with a wide range of tools.

Using Google Colab for Machine Learning

Google Colab is an excellent tool for machine learning projects. It provides access to free GPU and TPU resources that can significantly speed up model training. To use the GPU or TPU, select it from the "Runtime" menu. You can also install popular machine learning libraries such as Sklearn, TensorFlow, and PyTorch to use those in your modeling.

 Note: You can only use a GPU or TPU for a limited time, up to 12 hours before it times out.

How to Use Google Colab:

1. 🔎 Open Google Colab: To use Google Colab, open your web browser and go to https://colab.research.google.com/ or type "google.colab" 🔎 in the search bar, and you will find Google Colab. You'll need to sign in with your Google account if you still need to do so.
2. 📓 Create a New Notebook: Once you're signed in, you can create a new notebook by clicking the "New Notebook" 🆕 button. It will take you to the colab notebook.
3. ✍️ Write Your Code: You can write your code in the code cells of your notebook. It is straightforward to use and add text cells to document your code. Google Colab supports many programming languages, but it's primarily used for Python.
4. ▶️ Run Your Code: To run your code, tap on the play button ▶️ following to the code cell, utilize the alternate route "Shift+Enter," or go to runtime and select choices from the alternatives; we have alternatives like run all, run some time recently, run after, etc. Google Colab will execute your code and show the yield underneath the cell.
5. 💾 Spare Your Notebook: Once you've written your code, you'll be able save your notebook by clicking "File" and after that "Save." The code will be auto-saved; you'll check your modification history and have version control. Your notebook will be saved to your Google Drive account.

Get Familiar With AlmaBetter Coding IDE

You can type Python code to solve the exercises in the proper Python script. If you hit ▶️ , your python code will be executed, and the output will be shown in the Console. If it is completed successfully, 📤.

On the right side of this page, you can explore the integrated IDE for your practice.

Please copy the below code snippet and paste it into the IDE, choose Python mode, and click Run Code.

print("Hello World !") 
print("I will be a Data Scientist.")
print("AlmaBetter")

Hurrah! Welcome to the programming world. You did your first coding.

All the Best !!!

Conclusion:

Google Colab could be a vigorous advancement environment that's simple to utilize and totally free. It gives numerous features, counting collaboration, TPU, and GPU support, making it an great choice for anybody who needs to run the code rapidly and effortlessly. With built-in libraries and bolster for numerous programming languages, it's a idealize choice for python devotees.

KEY TAKEAWAYS

• Google Colaboratory, too known as Google Colab, may be a free web-based advancement environment given by Google that permits clients to run and compose code in Python.
• It gives progressed highlights like GPU and TPU back, simple collaboration, and built-in libraries.
• Clients can compose, execute and spare Python code in Google Colab, which can be gotten to anytime and anyplace because it is cloud-based.
• I moreover got recognizable with AlmaBetter's Coding IDE.

QUIZ

1. What is Google Colab? 
   1. An integrated development environment 
   2. A web-based development environment 
   3. A cloud-based database
   4. A machine learning model

Answer: b. A web-based development environment

2. What programming language is primarily used on Google Colab?
   1. Java 
   2. Python 
   3. C++ 
   4. Ruby

Answer: b. Python

3. What is one advantage of using Google Colab?  
   1. It requires a subscription fee
   2. It must be downloaded and installed on your computer
   3. It cannot be used on any device 
   4. It is cloud-based and does not require installation on your computer

Answer: d. It is cloud-based and does not require installation on your computer

4. What feature of Google Colab is useful for computationally intensive tasks? 
   1. Built-in libraries 
   2. Easy collaboration 
   3. GPU support 
   4. Zero configuration

Answer: c. GPU support

5. What must you have to access Google Colab? 
   1. A subscription fee 
   2. A specific operating system 
   3. A Google account 
   4. A specific programming language

Answer: c. A Google account