#learn Django Python

[izicodes]

Django #4

Friday 2nd June 2023

I did it! I made a fake user! I signed up using my signup.html and it went through successfully! Then I logged in and it went through successfully again! So then I thought "Well obviously they want to be able to log out again" so I took time learning to do that and there are a bunch of steps to do but I know once I do it 3 or 4 times, I will know how to do it more quickly!

So, what did I learn today: ☑ How to create a user data table - made myself and a test user one ☑ How to create new users ☑ How to use the if-else statement - used it for the navbar, so that if the user is logged in, they will see their username in the nav ☑ Figured out how to log out a user ☑ How models work ☑ How to prevent a user from entering a URL within the app they're not supposed ☑ Super users. I figured out I created a super user and it's me.

What I'm going to do now is to go back and make as many notes as I can so I don't forget the process for certain parts, especially creating and managing users.

This is so exciting to me because now all of the project ideas I wanted to try out but couldn't because I didn't know know how to create and manage users and save data that way.

I'm literally so happy! 😌🙌🏾💗

[devhubby]

How to Deploy a Python Django App to DigitalOcean?

Django is a high-level Python web framework that follows the Model-View-Controller (MVC) architectural pattern. It allows developers to build web applications quickly and easily by providing a structured and reusable codebase.

Read more at: https://elvanco.com/blog/how-to-deploy-a-python-django-app-to-digitalocean

[seashoresolutions]

The Power of Python: How Python Development Services Transform Businesses

In the rapidly evolving landscape of technology, businesses are continuously seeking innovative solutions to gain a competitive edge. Python, a versatile and powerful programming language, has emerged as a game-changer for enterprises worldwide. Its simplicity, efficiency, and vast ecosystem of libraries have made Python development services a catalyst for transformation. In this blog, we will explore the significant impact Python has on businesses and how it can revolutionize their operations.

Python's Versatility:

Python's versatility is one of its key strengths, enabling businesses to leverage it for a wide range of applications. From web development to data analysis, artificial intelligence to automation, Python can handle diverse tasks with ease. This adaptability allows businesses to streamline their processes, improve productivity, and explore new avenues for growth.

Rapid Development and Time-to-Market:

Python's clear and concise syntax accelerates the development process, reducing the time to market products and services. With Python, developers can create robust applications in a shorter timeframe compared to other programming languages. This agility is especially crucial in fast-paced industries where staying ahead of the competition is essential.

Cost-Effectiveness:

Python's open-source nature eliminates the need for expensive licensing fees, making it a cost-effective choice for businesses. Moreover, the availability of a vast and active community of Python developers ensures that businesses can find affordable expertise for their projects. This cost-efficiency is particularly advantageous for startups and small to medium-sized enterprises.

Data Analysis and Insights:

In the era of big data, deriving valuable insights from vast datasets is paramount for making informed business decisions. Python's libraries like NumPy, Pandas, and Matplotlib provide powerful tools for data manipulation, analysis, and visualization. Python's data processing capabilities empower businesses to uncover patterns, trends, and actionable insights from their data, leading to data-driven strategies and increased efficiency.

Web Development and Scalability:

Python's simplicity and robust frameworks like Django and Flask have made it a popular choice for web development. Python-based web applications are known for their scalability, allowing businesses to handle growing user demands without compromising performance. This scalability ensures a seamless user experience, even during peak traffic periods.

Machine Learning and Artificial Intelligence:

Python's dominance in the field of artificial intelligence and machine learning is undeniable. Libraries like TensorFlow, Keras, and PyTorch have made it easier for businesses to implement sophisticated machine learning algorithms into their processes. With Python, businesses can harness the power of AI to automate tasks, predict trends, optimize processes, and personalize user experiences.

Automation and Efficiency:

Python's versatility extends to automation, making it an ideal choice for streamlining repetitive tasks. From automating data entry and report generation to managing workflows, Python development services can help businesses save time and resources, allowing employees to focus on more strategic initiatives.

Integration and Interoperability:

Many businesses have existing systems and technologies in place. Python's seamless integration capabilities allow it to work in harmony with various platforms and technologies. This interoperability simplifies the process of integrating Python solutions into existing infrastructures, preventing disruptions and reducing implementation complexities.

Security and Reliability:

Python's strong security features and active community support contribute to its reliability as a programming language. Businesses can rely on Python development services to build secure applications that protect sensitive data and guard against potential cyber threats.

Conclusion:

Python's rising popularity in the business world is a testament to its transformative power. From enhancing development speed and reducing costs to enabling data-driven decisions and automating processes, Python development services have revolutionized the way businesses operate. Embracing Python empowers enterprises to stay ahead in an ever-changing technological landscape and achieve sustainable growth in the digital era. Whether you're a startup or an established corporation, harnessing the potential of Python can unlock a world of possibilities and take your business to new heights.

[robomad]

Leveraging Django for Machine Learning Projects: A Comprehensive Guide

Using Django for Machine Learning Projects: Integration, Deployment, and Best Practices

Introduction:As machine learning (ML) continues to revolutionize various industries, integrating ML models into web applications has become increasingly important. Django, a robust Python web framework, provides an excellent foundation for deploying and managing machine learning projects. Whether you’re looking to build a web-based machine learning application, deploy models, or create APIs for…

[educational-thoughts99]

Python With Django

Python courses in Nepal offer a comprehensive learning experience for individuals keen on mastering one of the most versatile and in-demand programming languages in the world. Python is renowned for its simplicity, readability, and wide range of applications across various industries, making it an essential skill for aspiring programmers, data scientists, web developers, and more.

If you would like to take a Python course in Nepal. You can check out this website. They offer a Python with Django course.

Course Module For Python With Django

1. Module 1

Module 1 starts off with an introduction, Django Installation, Django Project Setup, Working directories in Django and many more basic Python needs. It should take about 2 hours to finish module 1 and dive in deeper.

2. Module 2

Module 2 includes settings.py, Concept of apps, Request object, URLs in Django, URL concatenation, Dynamic URLs and many more. It also takes about 2 hours to understand this module.

3. Module 3

Module 3 includes Introduction to HTML, CSS and JS, Bootstrap for web development, Django Templates, Static hosting in Django and other Django principles. It is a module of 6 hours.

4. Module 4

Module 4 provides Function-based views and introduces class-based views, database settings, using SQLite database in Django, VScode extension for SQLite Database, Migrations and their commands, Introduction to Django admin, Creating a table model in Django and so on. It is an 8-hour module.

5. Module 5

In the 5th module, you learn to use HTML forms with Django, Media upload in Django, Create a simple CRUD application using function-based views and HTML forms (with Bootstrap) and so on.

There are many other modules and they make you fluent in Python. You can click here to learn more and enrol now.

For other similar courses, check this website.

[learning-path]

Reshaping and Pivot Tables in Pandas

Unlock the power of data manipulation with Pankaj's latest blog! 🚀 Discover the secrets of reshaping data and mastering pivot tables using Pandas in Python. 🐍 Dive in now and level up your data skills! 💡 #DataScience #Python #Pandas #DataManipulation

In this codes with Pankaj blog , we’ll explore how to reshape data and create pivot tables using Pandas, a powerful data manipulation library in Python. We’ll cover various methods such as pivot(), pivot_table(), stack(), unstack(), melt(), wide_to_long(), get_dummies(), from_dummies(), explode(), crosstab(), cut(), and factorize(). 1. pivot() and pivot_table() 2. stack() and unstack() 3.…

[awasticated]

[abhi-marketing12]

Exploring Python's Lambda Functions and Best Practices for Optimization in 2024

Python, a language known for its simplicity and versatility, continues to thrive as a programming powerhouse in 2024. Amidst its arsenal of features, lambda functions stand out as a concise and expressive tool, particularly when employed judiciously. In this blog post, we will delve into the nuances of lambda functions and outline the best practices for optimizing their usage in the ever-evolving Python landscape.

Lambda Functions: A Deeper Dive

Lambda functions, often hailed as anonymous functions, embody brevity and efficiency. Defined using the lambda keyword, they provide a succinct way to create small, ephemeral functions. The basic syntax is as follows:

Consider the following example, where a lambda function adds two numbers:

Lambda functions find their sweet spot in scenarios where a function is needed momentarily, often serving as arguments for higher-order functions like map(), filter(), and sorted().

Best Practices for Lambda Functions in 2024

1. Simplicity with Clarity

While brevity is a hallmark of lambda functions, clarity should not be compromised. Aim for simplicity without sacrificing understanding. If a lambda function becomes too complex, opting for a regular function may enhance readability.

2. Harnessing the Power of Higher-Order Functions

Lambda functions truly shine when paired with higher-order functions. Utilize them with map(), filter(), and sorted() for concise and expressive code.

3. Avoiding Complex Logic

Lambda functions are designed for simplicity. Steer clear of complex logic within lambda expressions; reserve them for straightforward tasks.

4. Consider Alternatives for Complexity

When facing complex operations or multiple expressions, consider using regular function definitions. This enhances code readability and maintainability.

5. Optimization: Embrace Built-in Functions

Python's built-in functions are optimized for performance. Prefer them over custom lambda functions, especially for straightforward operations like summation.

6. Testing and Profiling for Performance Gains

In performance-critical applications, testing and profiling are paramount. Leverage tools like Timeit and cProfile to measure execution time and profile code for potential optimizations.

Conclusion

As Python advances into 2024, the elegance and efficiency of lambda functions remain pivotal. By adhering to best practices and optimizing strategically, developers can harness the power of lambda functions effectively. For those looking to enhance their Python proficiency, the Python web development and DSA courses at Delhi’s SCAI Institute provide a structured and comprehensive learning journey. This ensures that Python code not only stays clean and readable but also performs optimally in the dynamic landscape of 2024 and beyond.

[izicodes]

Continuing Django #2

Continued from the last post

I figured out how to add CSS and JavaScript to my pages, and what a hassle! Took me forever to figure it out! Because files like .css, .js and even image files are classed as 'static' files, they have to be in a special folder in my app folder called 'static' for Django to recognise the files. Then I have to add the tag {% load static %} at the top of the HTML page so it can use any static files in the folder. Then the actual link tag for the stylesheet looks like this now: ' link rel="stylesheet" href="{% static 'style.css' %}" '. It looks easy now but I was struggling to figure this out, even after reading the documentation, it finally got it after trial and error 😅

With that being said, I will now be keeping track of all the information I learn from the video and by myself as I continue because I will forget that easily 😌🙌🏾

[pr-softwares]

What Should I Do After Learning Python?

Congratulations! You've successfully learned Python, a versatile and powerful programming language that has opened doors to a world of possibilities. As you bask in the glory of this achievement, you might be wondering, "What's next?" Fear not, for this blog post is here to guide you through the exciting journey that lies ahead after mastering in Python...

[james24272427]

LONDON SOUTH BANK UNIVERSITY (LSBU) UK | PROGRAMMING ASSIGNMENT, HOMEWORK HELP

Unlock your academic potential at London South Bank University (LSBU) with expert assignment help. Our dedicated team ensures top-quality assignments for your success. Achieve your academic goals with our trusted support.

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HTML Block and Inline Elements | HTML Full Course Part 15

[purposecode]

Inline vs Inline-Block vs Block CSS properties

[learning-path]

Exploring NumPy: From Basics to Advanced Techniques

Master NumPy with ease! Our guide delves into array manipulation, math functions, and data analysis. Whether novice or expert, unlock the full potential of Python. #NumPy #Python #NumPy #DataAnalysis #MachineLearning

NumPy, short for Numerical Python, is a fundamental package for scientific computing in Python. It provides support for arrays, matrices, and a host of mathematical functions to operate on these data structures. This blog post will guide you through the basics of NumPy and its powerful features. Step 1: Check Python Installation Step 2: Install NumPy Step 3: Verify NumPy Installation Step 4:…