Skip to main content

Python Basics- hands on with strings

In our first exercise we will do some hands on with Python's in built methods.

         Store your own version of the message "Hello World" in a variable, and print it.


       Store your first name, in lowercase, in a variable.Using that one variable, print your name in lowercase, Titlecase, and UPPERCASE.



Choose a person you look up to. Store their first and last names in separate variables.
Use concatenation to make a sentence about this person, and store that sentence in a variable.-
Print the sentence.



Store your first name in a variable, but include at least two kinds of whitespace on each side of your name.
Print your name as it is stored.
Print your name with whitespace stripped from the left side, then from the right side, then from both sides.


So keep practicing by your own with above examples in your notebook and comment if you face any issue.

Comments

Post a Comment

Popular posts from this blog

How to install and compile YOLO v4 with GPU enable settings in Windows 10?

Another post starts with you beautiful people! Last year I had shared a post about  installing and compiling Darknet YOLOv3   in your Windows machine and also how to detect an object using  YOLOv3 with Keras . This year on April' 2020 the fourth generation of YOLO has arrived and since then I was curious to use this as soon as possible. Due to my project (built on YOLOv3 :)) work I could not find a chance to check this latest release. Today I got some relief and successfully able to install and compile YOLOv4 in my machine. In this post I am going to share a single shot way to do the same in your Windows 10 machine. If your machine does not have GPU then you can follow my  previous post  by just replacing YOLOv3 related files with YOLOv4 files. For GPU having Windows machine, follow my steps to avoid any issue while building the Darknet repository. My machine has following configurations: Windows 10 64 bit Intel Core i7 16 GB RAM NVIDIA GeForce G...
46 comments
Read more

How to CORRECTLY convert Darknet/Yolov4 weights to TFLite format?

  Greetings, computer vision practitioners👮! I hope you're all doing well in your projects. Recently, I received a new requirement from a client regarding an object detection solution that had been successfully deployed as a REST API. The solution was seamlessly integrated into both web and mobile applications. However, the client encountered network reliability issues, particularly in rural areas where poor connectivity occasionally caused the solution to fail on mobile devices💔. As we know, network disruptions are a common challenge, but they become critical when they impact business operations. My client sought a robust solution to address this issue, ensuring uninterrupted functionality regardless of network conditions. In this blog post, we will explore how I tackled this challenge and implemented an effective solution💓. The Solution: Enabling Offline Object Detection for Mobile Devices Given that network connectivity issues are beyond our control, the most effective soluti...
11 comments
Read more

Generative AI: Faster fine-tuning of a Mistral Model with less memory

  Another blog post starts with you beautiful people💥. I hope you have started your Generative AI learning from my  last post  and if you have not, then I recommend you read that one before proceeding to this blog.  In this post, we will delve into the transformative power of generative AI, specifically exploring the cutting-edge Mistral 7B model fine-tuning🚀. This revolutionary technology has not only redefined the boundaries of artificial intelligence but also sparked a paradigm shift in how we approach data generation and creativity. Join me on a journey through the fascinating intersection of machine learning and creativity, where Mistral 7B stands as a beacon of innovation, pushing the boundaries of what's possible in the realm of generative AI👈. Fine-tuning a large language model(LLM) refers to the process of training the model on a specific, smaller dataset to adapt it to a particular task or domain. Large language models, like ChatGPT, are pre-trained on ...
4 comments
Read more