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Can You Open Medical Data (MR, CT, X-Ray) in Python and Find Tumors With AI?! Maybe

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When a programmer hears about processing medical data, they might think it's something serious, something that...
When a programmer hears about processing medical data, they might think it's something serious, something that only universities and research institutes can handle (at least, that's what I thought). As you can see, we're talking about simple grayscale images, which are very easy to process and ideal for things like neural network processing.

artificial-intelligence data-science machine-learning medical-technology programming
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Getting Started With Python Bokeh: 25+ Data Visualization Examples With Source Code

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data data-science python python-bokeh python-graph
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Streamlining LLM Implementation: How to Enhance Specific Business Solutions with RAG

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The article explores using RAG to improve LLM performance with LlamaIndex and LangChain. It covers setting...
The article explores using RAG to improve LLM performance with LlamaIndex and LangChain. It covers setting up a project, loading data, building a vector index, integrating LangChain for API deployment, and deploying on Heroku for seamless LLM implementation

generative-ai langchain large-language-models llamaindex python
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Decoding AI: Dive Deep Into Neural Networks and Create Your Own from Scratch!

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In our fast-paced world, machine learning and artificial intelligence are infiltrating every corner of our daily...
In our fast-paced world, machine learning and artificial intelligence are infiltrating every corner of our daily lives. But what is AI really all about? What is behind this magic? How can such a complex phenomenon be explained so simply? Join us on an amazing journey where we will immerse you in the world of artificial intelligence with clear and accessible examples!

ai-deep-learning artificial-intelligence artificial-neural-network how-do-neurons-work python
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How to read and write JSON files in Python

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Python provides built-in support for working with JSON files through the `json` module. We will discuss...
Python provides built-in support for working with JSON files through the `json` module. We will discuss how to use Python to read, write, and manipulate JSON files. To read a JSON file in Python, you can follow these steps: Import the ` json` module and open a new file using Python's `open()` function. To write data to aJSON file, use the 'writer' function to...

data data-analyst dataanalysis dataengineeting python
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Streamlining LLM Application Development and Deployment with LangChain, Heroku, and Python

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Sure! Here's a concise summary: This article explores using LangChain, Python, and Heroku to build and...
Sure! Here's a concise summary: This article explores using LangChain, Python, and Heroku to build and deploy Large Language Model (LLM)-based applications. We go into the basics of LangChain for crafting AI-driven tools and Heroku for effortless cloud deployment, illustrating the process with a practical example of a fitness trainer application. By combining these technologies, developers can easily create, test, and deploy LLM applications,...

deployment generative-ai langchain llms python
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Python: Effective Techniques for Managing Dates in DataFrame

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In data analysis and time series processing, working with date columns is essential for extracting meaningful...
In data analysis and time series processing, working with date columns is essential for extracting meaningful insights from datasets. Understanding how to extract specific date components, calculate time differences, set date columns as indexes, and convert date formats are key skills for data analysts and data scientists. In this article, we will explore common scenarios and methods for handling table dates in Python using...

data dataanalysis dataanalyst pandas python
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ChatRPG - How to Learn Python With AI in a Funny Way

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As the proud owner of a primate brain on the one hand, I'm well aware of...
As the proud owner of a primate brain on the one hand, I'm well aware of the power that gamification, in the context of learning, can have on me. As a technophile on the other, I couldn't miss the emergence of artificial intelligence tools, notably the conversational AI phenomenon that is ChatGPT, developed by OpenAI.

chatgpt chatgpt-rpg how-to-use-chatgpt learn-with-chatgpt learning-to-use-ai
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Enhancing Python Execution in ChatGPT with AImarkdown Script

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Running basic Python scripts with ChatGPT often faces two significant challenges: slow and clunky execution that...
Running basic Python scripts with ChatGPT often faces two significant challenges: slow and clunky execution that sometimes fails, and output restricted to the code window. This article introduces a technique utilizing AImarkdown Script which allows you to simulate the execution of basic Python commands without launching the Python compiler, providing beautifully formatted Markdown output instead.

aimarkdown-script chatgpt chatgpt-builder chatgpt-development python
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How to Convert Rows to Columns and Columns to Rows in Pandas DataFrame using Python

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In Python, you can use the pandas library to work with tabular data. The core data...
In Python, you can use the pandas library to work with tabular data. The core data type in pandas is the DataFrame. Sometimes, when working with DataFrame data, you may need to convert rows to columns or columns to rows. Here is a simple example demonstrating how to achieve this.

beginners data-analysis pandas programming python
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How to Use the Concat Function in Pandas for Horizontal or Vertical Table Concatenation

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In data analysis and manipulation, it is common to combine or concatenate multiple tables to create...
In data analysis and manipulation, it is common to combine or concatenate multiple tables to create a single data structure for analysis. Pandas, a popular Python library for data manipulation and analysis, provides a `concat()` function that allows you to combine tables either horizontally or vertically. In this article, we will demonstrate how to use the `conCat()' function in pandas to concaternate tables horizontally...

data-analysis data-analyst pandas python python-programming
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Four Types of Array Data-Based Bar Charts in Python

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import matplotlib.pyplot as plt, numpy as numpy, data as data. Data.Data (men, women, men, women) =...
import matplotlib.pyplot as plt, numpy as numpy, data as data. Data.Data (men, women, men, women) = 5. Data (men) = (20, 35, 30, 35), women_means = (25, 32, 34, 20, 25) x-axis position = 0.35, y-axisposition = 1, width of each bar at 0.5, height of each axis at 1.5. Y-axis height = 1.

arrays bar-chart data-analysis data-visualization matplotlib
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How to Build an Agent With an OpenAI Assistant in Python - Part 2: Function Calling / Tools

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ai-agent chatgpt generative-ai machine-learning openai
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How to Build an Agent With an OpenAI Assistant in Python - Part 1: Conversational

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We now run a while loop to check for a completed status while handling a few...
We now run a while loop to check for a completed status while handling a few error scenarios. The actual billing of the Assistant API is a bit murky, so to be on the safe side, I opted to cancel my runs after 2 minutes. Even though there is an expired status for when OpenAI cancels runs after 10 minutes. If a run takes...

ai-agent assistants-api chatgpt generative-ai openai
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64 Stories To Learn About Machine Learning Tutorials

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ai artificial-intelligence data-science learn machine-learning
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Python: Setting Data Types When Using 'to_sql'

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data-analyst data-engineering database pandas python
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Saving Dataframes into Oracle Database with Python

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data-analysis data-analyst data-engineering database pandas
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Parsing Terraform for Forms: Transforming Variable Types into JSON Schema for Frontend Apps

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dynamic-forms frontend-app json-schema parser python
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Unlocking SAP BusinessObjects Data: The Full Guide to Retrieving Documents with Python

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This blog post delves into the world of SAP BusinessObjects and Python, demonstrating a step-by-step approach...
This blog post delves into the world of SAP BusinessObjects and Python, demonstrating a step-by-step approach to retrieve a list of documents effortlessly.

api data-analyst python rest-api sap
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Python Web Scraping in SAP Business Objects CMC: Getting the List of Schedules

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Recently, I faced a mission: organizing all SAP Business Objects schedules into an Excel file. The...
Recently, I faced a mission: organizing all SAP Business Objects schedules into an Excel file. The manual process was tedious, so I made a solution using python.

business-intelligence data-analyst python sap sap-business-objects
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59 Stories To Learn About Tensorflow

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artificial-intelligence learn learn-tensorflow machine-learning python
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A Step-by-Step Guide to Sending Emails With Python

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In this article, we'll walk through a step-by-step guide on how to use Python to send...
In this article, we'll walk through a step-by-step guide on how to use Python to send emails.

pyemail-module-guide python python-email-guide python-email-module smtp
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Accessing Power BI Data with Python & Power BI REST API

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The Power BI Report Server REST API enables developers to programmatically access and manage the report...
The Power BI Report Server REST API enables developers to programmatically access and manage the report server catalog.

api power-bi power-bi-data python requests
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322 Stories To Learn About Python Programming

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learn learn-python-programming programming python python-programming
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