Python 101

“Python 101” delves into the diverse applications and nuances of Python programming. It explores the speed considerations in Python development, the significance of short-term memory in AI applications using Langchain, and the essential role of data augmentation in machine learning models. Additionally, the document touches on the practical uses of Python in web3, blockchain, and smart contracts, showcasing the real-world relevance of Python skills. With insights on Python scripts for everyday tasks and the importance of deterministic approaches in AI engineering, “Python 101” offers a comprehensive overview of Python’s versatility and impact across various domains.

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Chapter 4 - Conditional Statements

Python 101

Every computer language I have ever used has had at least one conditional statement. Most of the time that statement is the if/elif/else structure. This is what Python has. Other languages also inclu...

Chapter 5 - Loops

Python 101

Every programming language I have tried has some kind of looping construct. Most have more than one. The Python world has two types of loops: the for loop and the while loop You will find that the fo...

Chapter 6 - Python Comprehensions

Python 101

The Python language has a couple of methods for creating lists and dictionaries that are known as comprehensions. There is also a third type of comprehension for creating a Python set. In this chapte...

Chapter 7 - Exception Handling

Python 101

What do you do when something bad happens in your program? Let’s say you try to open a file, but you typed in the wrong path or you ask the user for information and they type in some garbage. You don...

Chapter 8 - Working with Files

Python 101

This chapter introduces the topic of reading and writing data to files on your hard drive. You will find that reading and writing files in Python is very easy to do. Let’s get started! How to Read a ...

Chapter 9 - Importing

Python 101

Python comes with lots of pre-made code baked in. These pieces of code are known as modules and packages. A module is a single importable Python file whereas a package is made up of two or more modul...

Chapter 20 - The sys Module

Python 101

The sys module provides system specific parameters and functions. We will be narrowing our study down to the following: sys.argv sys.executable sys.exit sys.modules sys.path sys.platform sys.stdin/st...

Chapter 21 - The threading module

Python 101

Python has a number of different concurrency constructs such as threading, queues and multiprocessing. The threading module used to be the primary way of accomplishing concurrency. A few years ago, t...

Chapter 22 - Working with Dates and Time

Python 101

Python gives the developer several tools for working with dates and time. In this chapter, we will be looking at the datetime and time modules. We will study how they work and some common uses for th...

Chapter 23 - The xml module

Python 101

Python has built-in XML parsing capabilities that you can access via its xml module. In this article, we will be focusing on two of the xml module’s sub-modules: minidom ElementTree We’ll start with ...

Chapter 24 - The Python Debugger

Python 101

Python comes with its own debugger module that is named pdb . This module provides an interactive source code debugger for your Python programs. You can set breakpoints, step through your code, inspe...

Chapter 25 - Decorators

Python 101

Python decorators are really cool, but they can be a little hard to understand at first. A decorator in Python is a function that accepts another function as an argument. The decorator will usually m...