Python is a beginner-friendly programming language widely used in the fields of data science and artificial intelligence. It offers powerful libraries and frameworks, like NumPy, Pandas, Matplotlib and PyTorch, making it especially useful for tasks like data analysis, machine learning, and deep learning. Python’s easy syntax, growing popularity and large community make it an essential tool for modern programming. Here are some basic and popular Python resources for you to get started or brush up on the syntax of Python, you may skip them if you know the basics of Python coding:
Jupyter Notebook and Google Colab are excellent tools for interactive programming and data analysis. Jupyter Notebook allows you to write and run Python code in a browser-based interface, making it easy to combine code, visualizations, and explanations. Google Colab is a cloud-based platform similar to Jupyter but with the added benefit of free access to powerful computing resources like GPUs. Both tools are widely used in data science, machine learning, and AI development, making them ideal for experimenting with Python code and sharing projects effortlessly. It is suggested that you choose one of these environments to code based on your ease and liking and stick with it throughout the bootcamp. You can check out how to use both or either of them here:
Regular expressions (regex) are a powerful tool for pattern matching and text manipulation in Python. They allow you to search, extract, and manipulate strings based on specific patterns, making them ideal for tasks like data cleaning, text extraction, and validation. With regex, you can efficiently handle tasks like finding email addresses, phone numbers, or specific word patterns in large datasets. They are widely used in text processing and provide a concise way to match complex text patterns flexibly and efficiently. Some resources to learn regular expression can be found here. You can use either any or all resources to learn.
Stemming and Lemmatization
Tokenization