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I’m excited to share with you seven amazing ways that have personally helped me become a better and faster programmer, all thanks to ChatGPT! These fantastic tips will not only help you avoid common mistakes, but will also reveal the incredible capabilities of having an AI co-pilot by your side on your coding journey. So, let’s dive in and improve your coding skills together!
Project planning is the most important phase of any company in which the foundations for success are laid. Getting assistance from ChatGPT during the planning stage can be invaluable, helping you think through the overall scope, architecture, requirements, and feasibility of your data science or software development project.
By describing your goals, limitations, and use cases in ChatGPT, you can provide helpful suggestions regarding:
- Technologies and tools to choose from based on your specific needs
- High level design and architecture.
- Main tasks and steps to follow in the proper sequence
- Possible problems, risks and obstacles to consider
I have used the insights from ChatGPT for machine learning and data science project planning. It has efficiently helped me to choose appropriate tools, techniques and data sets to address specific problems. The workflow and roadmap suggested by ChatGPT has also saved me time by pointing me in the right direction right from the start. You can read A guide to using ChatGPT for data science projects to understand more about project planning with ChatGPT.
Avoid asking ChatGPT to code an entire system from scratch. It’s likely to produce faulty generic code that skips edge cases and doesn’t meet your specific requirements.
Instead, focus ChatGPT’s support on smaller, well-defined tasks within your overall system. Ask him to generate code for:
- Specific functions or methods that perform a logical step
- Individual classes to represent well-defined parts of your domain
- Algorithms or discrete processes within your entire workflow
Breaking your problem down into these smaller components will produce more manageable and modular code.
ChatGPT can suggest ways to make your code cleaner and more readable by following the best practices for your language(s) and frameworks.
You can use ChatGPT to clearly rename variables, split long functions logically, reduce nesting, add inline comments, and consistently format your code to make your code more readable, maintainable, and bug-free for users. collaborators.
After generating code, it’s crucial to test it on an isolated machine before pushing it to production or a remote repository. It is important not to rely solely on the functionality of the code; make sure you are using the latest API.
One of the key aspects of software development is creating test features for critical functionality. I understand that unit testing for applications, especially for machine learning engineers or data scientists, can be challenging. However, with the help of ChatGPT, you can generate test cases for any function in a matter of seconds.
ChatGPT is a conversational AI and you can continually request support to add or remove items from your code, or even request improvements. In case an error occurs, just copy and paste the error message and ask ChatGPT to generate an improved version of the code for you.
It understands the context and can generate code specifically tailored to the task at hand, ensuring functionality and efficiency.
Well-documented code is essential for you and other developers to understand your project. ChatGPT can help you document your code through comments, docstrings, READMEs, wiki pages, and other documentation based on your language and tools.
All you need to do is provide a concise description of the project and a snippet of your code, and ChatGPT will generate clean and readable documentation that will greatly help you understand your code base.
Debugging is a very important part of programming because it helps us find and fix bugs in our code. Let’s face it though, debugging can sometimes be challenging, especially when dealing with complex code.
ChatGPT can help you debug the code and find out the problem you are facing in general while running the code. You can analyze your code, understand its structure, and provide information about possible errors or failures. Also, ChatGPT can help you integrate systems, learn new programming languages, or even provide multiple solutions for a given problem.
As a data scientist, I love using ChatGPT to generate code, plan, and improve my writing. It’s like having a helpful companion by my side! With ChatGPT as my coding assistant, I can effortlessly create clean, bug-free code in just seconds. All I have to do is provide a description of the project and ask it to generate code for a specific task.
Of course, like any friend, ChatGPT has its moments of frustration. Sometimes you may have difficulty understanding the context or be unable to troubleshoot encoding issues. And since it was trained on older data, it may not be up to date with the latest APIs. But hey, we all have our quirks, right?
abid ali awan (@1abidaliawan) is a certified data scientist professional who loves building machine learning models. Currently, he is focusing on creating content and writing technical blogs on machine learning and data science technologies. Abid has a Master’s in Technology Management and a Bachelor’s in Telecommunications Engineering. His vision is to build an AI product using a graphical neural network for students battling mental illness.
