Python Lore

Using Requests to Send Multi-part File Uploads

Enhance user experience and functionality in your web applications with multi-part file uploads. Learn how to implement this process using the requests library in Python for tasks like batch photo uploading and form submissions with attachments.

Keras Python modules

Working with Embeddings in Keras

Keras, Python modulesEmbeddings

Maximize efficiency and enhance categorical data representation with embeddings in Keras. Learn how these powerful features capture semantic relationships and reduce dimensionality, making them perfect for natural language processing applications. Explore the use of pre-trained embeddings for optimal results.

Python modules socket

Broadcasting Data over Network using Python Sockets

Python modules, socketBroadcasting, Network, Python Sockets

Broadcasting Data over Network using Python Sockets is a guide that explains the fundamentals of using Python sockets for networking. Learn how to create socket objects, establish connections between clients and servers, and send/receive data. Python's socket module simplifies network programming and enables the creation of robust network applications.

Python modules SQLite3

Advanced SQLite3: Full-Text Search Implementation

Python modules, SQLite3Advanced SQLite3, Full-Text Search

Explore the implementation of Full-Text Search (FTS) in SQLite3, a powerful tool for indexing and searching text columns in databases. Learn about its features, such as tokenization, relevance ranking, and support for multiple languages, and discover how to configure, enable, and optimize FTS for efficient searching in SQLite3.

http Python modules

Exploring http.client.HTTPStatus for HTTP Status Codes

http, Python moduleshttp.client.HTTPStatus, Status Codes

Gain a deeper understanding of HTTP status codes and their importance in web development and debugging. Learn how to handle these codes using the http.client.HTTPStatus module in Python, allowing for programmatic manipulation and analysis.

os Python modules

Exploring os.waitpid for Child Process Management in Python

os, Python modulesChild Processes, os.waitpid

Learn how to manage child processes in Python using os.waitpid(). Explore the creation of child processes using os.fork() and understand how to distinguish between parent and child processes. Efficiently manage child processes by reaping their exit status with functions like os.waitpid().

Django Python modules

Django and AJAX: Dynamic Content and User Interaction

Django, Python modulesAJAX, Django, Dynamic Content

Enhance your web application's functionality and user experience by integrating AJAX with Django. Learn how to build dynamic and interactive websites using Django's powerful backend features and AJAX's frontend capabilities. Delve into implementing dynamic content and enhancing user interaction in this comprehensive guide.

Python modules SciPy

Creating Custom Statistical Distributions in scipy.stats.rv_continuous

Python modules, SciPyCustom Distributions, scipy.stats.rv_continuous

Create and work with custom statistical distributions using scipy.stats.rv_continuous in the SciPy library. Define custom probability density functions (PDFs) and other statistical functions for accurate representation of complex real-world phenomena. Import rv_continuous, define a subclass, and explore methods for custom PDFs and random number generators.

datetime Python modules

Finding ISO Week of the Year with datetime.date.isocalendar

datetime, Python modulesdatetime.isocalendar, Week Number

Understand the ISO week numbering system and how it differs from traditional week numbering. Learn why this system is important for financial and business applications, as well as personal productivity tools. Stay informed to avoid confusion when dealing with international dates and times.

Python modules PyTorch

Convolutional Neural Network Layers in torch.nn

Python modules, PyTorchConvolutional Layers, torch.nn

Explore the layers of Convolutional Neural Networks (CNNs) in torch.nn. Learn how CNNs process and analyze visual data, utilize convolutional and pooling layers, and employ fully connected layers for high-level reasoning. See an example of a simple CNN model in action.

Python Lore

Using Requests to Send Multi-part File Uploads

Working with Embeddings in Keras

Broadcasting Data over Network using Python Sockets

Advanced SQLite3: Full-Text Search Implementation

Exploring http.client.HTTPStatus for HTTP Status Codes

Exploring os.waitpid for Child Process Management in Python

Django and AJAX: Dynamic Content and User Interaction

Creating Custom Statistical Distributions in scipy.stats.rv_continuous

Finding ISO Week of the Year with datetime.date.isocalendar

Convolutional Neural Network Layers in torch.nn

Coding Companion Handbook

Learn Python: The Ultimate Guide

Python Desktop Reference

Absolute Beginner’s Guide to Python Programming