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Google Colab offers hidden tools that make coding and data analysis more efficient.
Switching between CPU, GPU, and TPU helps handle bigger tasks smoothly.
AI-powered code generation and Drive integration simplify learning and collaboration.
Google Colab is a popular online tool for coding, data analysis, and machine learning. It runs on the browser and does not need installation. Many students and professionals use it to test ideas, train models, and share notebooks. There are many features in Colab that people often miss. These tools make work faster and simpler once they are known.
Colab gives users the option to choose the kind of computer power they need. The default CPU works for small programs, but heavy tasks like model training work better on a GPU or TPU. The setting can be changed from Runtime to Change runtime type. There is also a high-RAM option that helps with big datasets.
Colab can connect to GitHub, a place where people store and share code. It allows opening and saving notebooks without downloading them. This makes it easier to collaborate and keep versions safe. Students working in groups can edit the same notebook and track changes easily.
Also Read: Kaggle vs. Google Colab: Which Platform is Best for You?
Colab supports small interactive tools like sliders and dropdowns. These make notebooks more flexible. For example, while testing a machine learning model, changing numbers using a slider is faster than typing them every time. It helps make notebooks easy to adjust and reuse.
Colab shows live details about how much RAM or GPU is being used. Watching these numbers helps avoid crashes and slowdowns. Simple commands like %timeit can also tell how long a code cell takes to run. This helps make code cleaner and faster.
Shortcuts make work faster. Commands like Ctrl+M B to add a cell or Ctrl+M D to delete one are useful for quick edits. Colab also accepts shell commands such as ‘!ls’ to view files. These small features save time and make notebooks easier to manage.
Colab has a feature to keep private information secure. It stores passwords and API keys safely so they are not visible in shared notebooks. This protects accounts and makes it safe to work with online services or databases.
In Colab, code cells can be hidden or collapsed. This helps when showing a notebook to others. People can see only the results and charts without the code. It makes the notebook look clean and easy to read.
Colab can connect to Google Drive using simple code. After connecting, all Drive files can be used in the notebook. This is useful for big datasets or saving work. Files do not need to be uploaded again each time.
The command palette in Colab helps find tools quickly. It opens by pressing Ctrl + Shift + P. Many actions li,ke adding cells or changing themes can be done from there. It saves time and makes work faster.
Colab has AI tools that can write code from text. By typing a short instruction like 'load a CSV and clean missing values, ' it creates working code. This helps beginners and makes learning coding easier.
Also Read: Google Colab vs Jupyter Notebook: Which One is Better?
Google Colab is more than just an online notebook. It combines coding, data handling, and collaboration in one place. Knowing these hidden features makes it easier to analyse data, build models, and present results. With proper utilization, Colab turns into a strong and simple workspace for every data science learner.
1. How can I switch between CPU, GPU, and TPU in Google Colab?
Go to Runtime -> Change runtime type and select CPU, GPU, or TPU depending on your task needs.
2. Can I open and save Colab notebooks directly from GitHub?
Yes, Colab connects to GitHub, allowing direct opening, editing, and saving without downloading files.
3. How do sliders and input boxes make Colab notebooks interactive?
They let users adjust values quickly without typing, making testing and reusing models faster and easier.
4. How can I monitor memory and runtime performance in Colab?
Colab shows live RAM/GPU usage, and commands like %timeit help track how long code cells take to run.
5. How does Colab help keep API keys and passwords secure?
Colab’s Secrets feature safely stores keys and passwords, keeping them hidden in shared notebooks.
