#Django Video Calling Website

[educationalblogmit]

What is Python Programming? Learn the Basics of Python

Python is one of the most beginner-friendly programming languages available today. It’s widely used across industries and has become the go-to language for those just stepping into the world of programming. Whether your goal is to build websites, analyze data, or explore artificial intelligence, Python provides a solid foundation to begin your journey.

Why Python is Ideal for Beginners

One of the biggest reasons Python is favored by newcomers is its simplicity. Python's syntax is clean and easy to read, which means you can quickly understand what your code is doing without needing a background in computer science. Unlike some other languages that require strict formatting or complex structures, Python keeps things minimal and intuitive.

Another strong advantage is its wide usage. Python is used in a variety of fields such as software development, automation, data science, machine learning, and web development. This versatility means that once you learn the basics, you can apply your knowledge to countless real-world scenarios.

Python also boasts a massive global community. This means that if you ever get stuck, there are thousands of tutorials, forums, documentation pages, and learning resources available online. Beginners benefit greatly from such a supportive environment.

Understanding the Basics of Python

To begin your Python journey, it’s essential to grasp a few fundamental concepts. These include understanding how to store information using variables, working with different types of data, performing calculations, and writing logic to make decisions in your code.

Another important area is learning how to repeat tasks using loops, and how to organize your code into reusable blocks called functions. These basics form the building blocks of almost every program you'll write in Python.

As you progress, you’ll also explore how to work with data collections like lists and dictionaries, handle user input, and structure your projects to be readable and efficient.

Real-World Applications of Python

Python’s appeal goes far beyond its simplicity. It’s a powerful tool used in professional environments to build a variety of applications. In web development, Python is behind many dynamic websites and platforms, thanks to frameworks like Django and Flask.

In the world of data analysis and visualization, Python offers libraries that help professionals process large volumes of information and extract meaningful insights. From creating charts to building predictive models, Python powers much of what we see in business intelligence and research today.

Another exciting domain is machine learning and artificial intelligence. With Python’s frameworks and libraries, developers can build systems that learn from data, make decisions, and even understand natural language.

Python also excels in automation. If you’ve ever had a repetitive task on your computer, like renaming files or processing data, Python can be used to automate those tasks, saving time and effort.

How to Start Learning Python

The best way to begin learning Python is to start small and stay consistent. You don’t need any expensive software, many online platforms allow you to write and test Python code right in your browser. There are also free tutorials, beginner courses, and video lessons available to help guide your learning step-by-step.

It’s helpful to set small goals, such as writing a simple calculator or building a personal planner. These projects may seem small, but they help reinforce core concepts and make learning more engaging.

As you improve, you can challenge yourself with more complex projects and begin exploring specific fields like web development or data analysis. Python’s broad range of applications means there’s always something new to learn and try.

Conclusion

Python is more than just a beginner’s language, it’s a tool that professionals use to build innovative technologies and solve real-world problems. By mastering the basics, you open the door to endless possibilities in the tech world.

Whether you're a student, a working professional, or someone simply curious about coding, Python is the perfect language to get started. With dedication and practice, you’ll be amazed at how quickly you can go from a beginner to a confident programmer.

[status200us]

Best 3 Backend Programming Languages- Helpful Information for Developers

The backend programming language or framework is the one that connects and communicates with the Front end via an API. An application programming interface (API) acts as a channel to transmit data bi-directionally between the app’s frontend and backend.

A frontend is comprised of a combination of static and dynamic pages. Let’s slightly touch on what both types of pages actually mean.

Static page:

 A page whose content doesn’t get populated by the backend is called a static page. It houses content such as text, images, and videos. For example, About us, Terms of Service, and Privacy Policy pages of a particular website.

Dynamic page:

 A page whose content gets updated based on the response that it receives from the backend. It also houses similar content as of a static page but again, all of its data comes from the server. It may also contain input controls too.

In the backend, we have server-side scripts in conjunction with DBMS (Database Management System) to house an app’s complete business logic, API layer(s) contains business data and may also include an admin panel.

Speaking of Databases, there are numerous database vendors in the market, for example:

· Oracle SQL

· Postgres SQL

· MySQL

· SQL Server

· SQLite

After glancing out the overall web architecture, let’s discuss the top 3 backend programming languages that are very famous in devs’ communities.

Django

Node.js

ASP.NET | Open-source web framework for .NET

1. Django Backend Programming Framework

Django is the most common Python Web framework that favors fast yet scalable development. Additionally, Python operates on any platform and is also open source. As it comprises a set of modules, it offers a standard way to generate websites fast and effortlessly. Thus, Django’s main objective is to ease the designing of complicated database-driven websites.

Django contains all of the crucial features that one needs to build any sort of a web application. This framework is bundled with Django-Admin, which further facilitates the quick rollout of any given app. Some of its USPs include,

· Simple to use

· Runs on Python

· More interactive

· Time effective

· Features enriched.

· Appropriate for every web development project

· Requires shorter code & little effort

· Covers most tasks and problems

· Supports object-oriented programming

· Powers tool packages (AI, Machine learning)

· Controls REST Framework for Building APIs

2. ASP.NET | Open-source web framework for .NET Backend Programming Framework

ASP.NET | Open-source web framework for .NET is also a programming language for generating dynamic web applications. Moreover, it supports various languages, such as C#, VB.NET Shop, JAVA the Script, etc. Though, the programming logic and content generated distinctly in Microsoft ASP.NET | Open-source web framework for. NET. Also, an ASP.NET | Open-source web framework for .NET page goes through a specific lifecycle. It is completed before the response is directed to the user. Moreover, there are a series of phases that can be monitored for the processing of an ASP.NET | Open-source web framework for .NET page.

a) Page Request: While the page is requested, the server monitors if it is demanded for the 1st time. If so, at that time it requires to compile the page. Also, it analyzes the response and directs it to the user. However, the cache is inspected if the page output occurs.

b) Page Start: At this stage, the response object is used to hold the data, which is directed back to the user.

c) Initialization: Though, at this phase, all the controls on a page are initialized.

d) Page Loading: This is when the web page is truly loaded with all the default principles.

e) Validation: The validation set detects the errors or bugs in page loading.

f) Postback Event Handling: This event is activated if the same web page is being loaded again.

g) Page Rendering: This phase involves the protection of whole data on the form. And the user received the output as a whole web page.

h) Unloading Process: There is no need to keep the ASP.NET | Open-source web framework for .NET webform object in the memory after sending the output to the user. Consequently, the unloading procedure includes eliminating all undesirable stuff from memory.

3. Node.js Backend Programming Framework

Unlike Python, Node.js is a runtime driven language which runs on a V8 engine. It brings event-driven development to the web servers. And just like python, its open source. Additionally, developers may generate scalable servers without applying to thread. They use a straightforward model of event-driven programming that activates callbacks to signal the accomplishment of a task/event. Nonetheless, Node.js links the simplicity of a scripting language (JS) with the command of UNIX network programming. Bundled with MEAN stack, the Node.js backend programming framework has the following remarkable features.

· Scalability (Vertical & horizontal)

· Improved performance.

· Short response time

· Fast implementation

· Advisable backend development option

· Directly compiles the code into machine code

· Supports the non-blocking Input/output operations

Contact us at Status200

We are Status 200, a full-stack development, and marketing company that focuses solely on the client’s satisfaction. You will explore all the information regarding the best backend programming languages at our site. Our expert team of developers is always available for an assist. Feel welcome to reach out to us for Web and Mobile development services. We are looking forward to hearing from you.

[yadavti]

Custom Python Django Application Development Services

Custom Development Using Python BISP develops the best analytics solution for your business, delivering the services you need, on-demand. Whether you need an end-to-end data solution or want to concentrate on a particular business analytics challenge, we can help you. BISP Custom Analytics Service takes the effort out of combining and preparing data from all your sources. It helps you to build dashboards and create insights and products that will help you grow ROI, innovate, make your customers more satisfied and better your operations – whether you’re in IT, Marketing or Operations.

Full-Stack Development

BISP can handle all kinds of projects from simple applications to complex enterprise-level web solutions with a high level of competency. We offer professional web design services at affordable rates that help to unlock the immense business potential and growth opportunities by building cutting-edge websites, portals & web applications. We do offering assessments and support through our managed services program including Online training of Python Data Science and Application oriented training by our real-time expert consultants to your employees or client after implementation subjected to the implementation requirement.    

Choose from these services to create the solution that’s right for your requirements:

- Python Data Quality

- Profiling

- ETL and Visualization

- Enterprise Web Development Using Python, Django and Flask

- Python Staff Augmentation     

BISP Solutions has been providing solutions to unique customer requirements and has a proven track record and ability to deliver high-end business solutions that meet your business goals. Earning reputation of consistently exceeding our customers’ expectations. We bring tremendous value to us customers due to the ability to replicate with ease, deploy at a faster pace in a very flexible global delivery model with lowered costs. Our ultimate goal is to save time and money of our business partners by delivering the highest quality of solution/services.

We can help you out in all phrase of development from Implementation to Development. For more details you can visit our website BISP Solutions or call +91 975-275-3753 or +1 386-279-6856.

BEST PRACTICES TO ENSURE A SUCCESSFUL PYTHON DJANGO CUSTOM DEVELOPMENT

Case-Study Video

[tinygardenphilosopher]

Data Science Python live Project working on Lead Analytics

Django is the well-liked and a classy Python Web framework that supports fast development and clean, realistic design. It’s free & open source. Building websites through Django are not just smart and well-organized, If you are looking for Data Science advanced certification course bisp you can join our Professional online training and learn under the expert certified faculty. If you are fresher or working professionals this is the necessary skill in today’s scenario and demanded to get better job opportunities and salary package. This program is ideal for B. Tech, M Tech, and PhD.D. Researchers and computer science students.

The agenda for this tutorial based on one of our client requirements. We have developed such solution for our client. The explanation taught very well, if you liked the video please subscribe our channel for more updates on the technology. If you have any suggestion please let us know or you can write us. Client is a customer-based company and the requirement is how we can manage our lead which we have received from various sources also the solution we called analytical system for lead “Lead analytics”. In this video we have used Data science with Python analogy and terminology to build solution for our client.

[hydralisk98]

hydralisk98′s web projects tracker:

Core principles=

Fail faster

‘Learn, Tweak, Make’ loop

This is meant to be a quick reference for tracking progress made over my various projects, organized by their “ultimate target” goal:

(START)

(Website)=

Install Firefox

Install Chrome

Install Microsoft newest browser

Install Lynx

Learn about contemporary web browsers

Install a very basic text editor

Install Notepad++

Install Nano

Install Powershell

Install Bash

Install Git

Learn HTML

Elements and attributes

Commenting (single line comment, multi-line comment)

Head (title, meta, charset, language, link, style, description, keywords, author, viewport, script, base, url-encode, )

Hyperlinks (local, external, link titles, relative filepaths, absolute filepaths)

Headings (h1-h6, horizontal rules)

Paragraphs (pre, line breaks)

Text formatting (bold, italic, deleted, inserted, subscript, superscript, marked)

Quotations (quote, blockquote, abbreviations, address, cite, bidirectional override)

Entities & symbols (&entity_name, &entity_number, &nbsp, useful HTML character entities, diacritical marks, mathematical symbols, greek letters, currency symbols, )

Id (bookmarks)

Classes (select elements, multiple classes, different tags can share same class, )

Blocks & Inlines (div, span)

Computercode (kbd, samp, code, var)

Lists (ordered, unordered, description lists, control list counting, nesting)

Tables (colspan, rowspan, caption, colgroup, thead, tbody, tfoot, th)

Images (src, alt, width, height, animated, link, map, area, usenmap, , picture, picture for format support)

old fashioned audio

old fashioned video

Iframes (URL src, name, target)

Forms (input types, action, method, GET, POST, name, fieldset, accept-charset, autocomplete, enctype, novalidate, target, form elements, input attributes)

URL encode (scheme, prefix, domain, port, path, filename, ascii-encodings)

Learn about oldest web browsers onwards

Learn early HTML versions (doctypes & permitted elements for each version)

Make a 90s-like web page compatible with as much early web formats as possible, earliest web browsers’ compatibility is best here

Learn how to teach HTML5 features to most if not all older browsers

Install Adobe XD

Register a account at Figma

Learn Adobe XD basics

Learn Figma basics

Install Microsoft’s VS Code

Install my Microsoft’s VS Code favorite extensions

Learn HTML5

Semantic elements

Layouts

Graphics (SVG, canvas)

Track

Audio

Video

Embed

APIs (geolocation, drag and drop, local storage, application cache, web workers, server-sent events, )

HTMLShiv for teaching older browsers HTML5

HTML5 style guide and coding conventions (doctype, clean tidy well-formed code, lower case element names, close all html elements, close empty html elements, quote attribute values, image attributes, space and equal signs, avoid long code lines, blank lines, indentation, keep html, keep head, keep body, meta data, viewport, comments, stylesheets, loading JS into html, accessing HTML elements with JS, use lowercase file names, file extensions, index/default)

Learn CSS

Selections

Colors

Fonts

Positioning

Box model

Grid

Flexbox

Custom properties

Transitions

Animate

Make a simple modern static site

Learn responsive design

Viewport

Media queries

Fluid widths

rem units over px

Mobile first

Learn SASS

Variables

Nesting

Conditionals

Functions

Learn about CSS frameworks

Learn Bootstrap

Learn Tailwind CSS

Learn JS

Fundamentals

Document Object Model / DOM

JavaScript Object Notation / JSON

Fetch API

Modern JS (ES6+)

Learn Git

Learn Browser Dev Tools

Learn your VS Code extensions

Learn Emmet

Learn NPM

Learn Yarn

Learn Axios

Learn Webpack

Learn Parcel

Learn basic deployment

Domain registration (Namecheap)

Managed hosting (InMotion, Hostgator, Bluehost)

Static hosting (Nertlify, Github Pages)

SSL certificate

FTP

SFTP

SSH

CLI

Make a fancy front end website about 

Make a few Tumblr themes

===You are now a basic front end developer!

Learn about XML dialects

Learn XML

Learn about JS frameworks

Learn jQuery

Learn React

Contex API with Hooks

NEXT

Learn Vue.js

Vuex

NUXT

Learn Svelte

NUXT (Vue)

Learn Gatsby

Learn Gridsome

Learn Typescript

Make a epic front end website about 

===You are now a front-end wizard!

Learn Node.js

Express

Nest.js

Koa

Learn Python

Django

Flask

Learn GoLang

Revel

Learn PHP

Laravel

Slim

Symfony

Learn Ruby

Ruby on Rails

Sinatra

Learn SQL

PostgreSQL

MySQL

Learn ORM

Learn ODM

Learn NoSQL

MongoDB

RethinkDB

CouchDB

Learn a cloud database

Firebase, Azure Cloud DB, AWS

Learn a lightweight & cache variant

Redis

SQLlite

NeDB

Learn GraphQL

Learn about CMSes

Learn Wordpress

Learn Drupal

Learn Keystone

Learn Enduro

Learn Contentful

Learn Sanity

Learn Jekyll

Learn about DevOps

Learn NGINX

Learn Apache

Learn Linode

Learn Heroku

Learn Azure

Learn Docker

Learn testing

Learn load balancing

===You are now a good full stack developer

Learn about mobile development

Learn Dart

Learn Flutter

Learn React Native

Learn Nativescript

Learn Ionic

Learn progressive web apps

Learn Electron

Learn JAMstack

Learn serverless architecture

Learn API-first design

Learn data science

Learn machine learning

Learn deep learning

Learn speech recognition

Learn web assembly

===You are now a epic full stack developer

Make a web browser

Make a web server

===You are now a legendary full stack developer

[...]

(Computer system)=

Learn to execute and test your code in a command line interface

Learn to use breakpoints and debuggers

Learn Bash

Learn fish

Learn Zsh

Learn Vim

Learn nano

Learn Notepad++

Learn VS Code

Learn Brackets

Learn Atom

Learn Geany

Learn Neovim

Learn Python

Learn Java?

Learn R

Learn Swift?

Learn Go-lang?

Learn Common Lisp

Learn Clojure (& ClojureScript)

Learn Scheme

Learn C++

Learn C

Learn B

Learn Mesa

Learn Brainfuck

Learn Assembly

Learn Machine Code

Learn how to manage I/O

Make a keypad

Make a keyboard

Make a mouse

Make a light pen

Make a small LCD display

Make a small LED display

Make a teleprinter terminal

Make a medium raster CRT display

Make a small vector CRT display

Make larger LED displays

Make a few CRT displays

Learn how to manage computer memory

Make datasettes

Make a datasette deck

Make floppy disks

Make a floppy drive

Learn how to control data

Learn binary base

Learn hexadecimal base

Learn octal base

Learn registers

Learn timing information

Learn assembly common mnemonics

Learn arithmetic operations

Learn logic operations (AND, OR, XOR, NOT, NAND, NOR, NXOR, IMPLY)

Learn masking

Learn assembly language basics

Learn stack construct’s operations

Learn calling conventions

Learn to use Application Binary Interface or ABI

Learn to make your own ABIs

Learn to use memory maps

Learn to make memory maps

Make a clock

Make a front panel

Make a calculator

Learn about existing instruction sets (Intel, ARM, RISC-V, PIC, AVR, SPARC, MIPS, Intersil 6120, Z80...)

Design a instruction set

Compose a assembler

Compose a disassembler

Compose a emulator

Write a B-derivative programming language (somewhat similar to C)

Write a IPL-derivative programming language (somewhat similar to Lisp and Scheme)

Write a general markup language (like GML, SGML, HTML, XML...)

Write a Turing tarpit (like Brainfuck)

Write a scripting language (like Bash)

Write a database system (like VisiCalc or SQL)

Write a CLI shell (basic operating system like Unix or CP/M)

Write a single-user GUI operating system (like Xerox Star’s Pilot)

Write a multi-user GUI operating system (like Linux)

Write various software utilities for my various OSes

Write various games for my various OSes

Write various niche applications for my various OSes

Implement a awesome model in very large scale integration, like the Commodore CBM-II

Implement a epic model in integrated circuits, like the DEC PDP-15

Implement a modest model in transistor-transistor logic, similar to the DEC PDP-12

Implement a simple model in diode-transistor logic, like the original DEC PDP-8

Implement a simpler model in later vacuum tubes, like the IBM 700 series

Implement simplest model in early vacuum tubes, like the EDSAC

[...]

(Conlang)=

Choose sounds

Choose phonotactics

[...]

(Animation ‘movie’)=

[...]

(Exploration top-down ’racing game’)=

[...]

(Video dictionary)=

[...]

(Grand strategy game)=

[...]

(Telex system)=

[...]

(Pen&paper tabletop game)=

[...]

(Search engine)=

[...]

(Microlearning system)=

[...]

(Alternate planet)=

[...]

(END)

[masterprograming]

Video Streaming Website Using Django with Source Code

Video Streaming Website Using Django with Source Code

Video Streaming Website Using Django with Source Code -In This Tutorial I Will Give You Django Streaming Website WIth Source Code And Also Show You Some Screen Shots Of This Website | If You Don’t Know About Python Django Then Click On This Link -> Django Tutorial Video Streaming Website Using Django Below, You Can See One Screenshot of This Website, Using This Website You Can Do Video Call…

[xbrainzsecure-blog]

Now Promote own Business online | Make a Business Website @3999

Website & Mobile App Development Company in India, Patna Xbrainz Secure is a leading CMS WordPress Development & Web Application Development Company in Indian, Patna ( Bihar(BR). With over of 7 Years of experience in Website / Software Development and 5+ years of experience in iOS, iPhone and Android Application Development. We can design the website and applications in Multi Language like Chinese, German, Spanish, Arabic, French, Italian, English Languages. Our developers are highly experienced and have well-honed skills in Ruby on Rails (ROR), HTML / CSS3, PHP, Opencart, Asp.Net, Opensource, Magento, WordPress and API Development and Integration. Hire Dedicated Developers and programmers for your existing or new projects.

We have been creating applications that are being used by broad range of customers which range from Business users to mass customers. We have client across Patna, Bihar, The Bihar Sharif, and other cities of Bihar(BR)

Services Offered as Agency : Branding Design Material – Logo Designing, Brochures, Flyer Designs, All kind of Office Stationery work designing Web Design Theme, Bootstrap Template Design Website Development – PHP, .net, aspx, Angular JS Responsive Website Development – Mobile Friendly Website Design E-Commerce Portal Development – WooCommerce Development Payment Gateway and API Integration Solution Core PHP Web & Development Custom Application Software Development Open Source Technologies / PHP Frameworks – WordPress Development, Joomla, Magento, OsCommerce, Drupal, Laravel, Django, CakePHP, Yii, Codeigniter. We can create a Custom CMS Based websites also Mobile Application Development – iOS, (iPhone and iPad) Development, Android App, Windows and Blackberry Development and Material App Designing, Augmented Reality (AR App Development) SAP Support, SAP Maintenance, SAP Up-gradation, We have experienced SAP Technical and Functional Consultants available to hire – Business One (B1), SAP Mobility Solutions, SAP Remote Assistance. SEO – Internet Marketing, SEM, Social Media Marketing / Page-Account Management – Facebook & Twitter Promotions. Call Center / Back Office Support – Personal Virtual Assistance(VA), Inbound – Outbound Call Centre, Technical Support, Email, chat or Instant messaging support system, Hire Market Research Analyst Animation – 2D Animation, 3D Animation, 3D Visualization, Visual Effects ( VFXs ), Film Restoration, Line Drawing Animation, Composting, Set Design, Matte Painting, Pre-Visualization (previz) , Interactive eLearning, Animatics, Corporate – Sales Video Presentation, TV Commercials, Product Presentation, Title Animation, White Board Animation

Xbrainz Secure looks forward to extend and sustain business partnerships with those who want to be at the vanguard of web and mobile technology. It not only helps you in getting quality end products but also serves you with many benefits. We can work as a white label development service provider for your projects as Strategic Partner. We serves as an extension to your existing development center/group. You can simply outsource the entire development work to Xbrainz Scure or may work in conjunction with our developers to serve the client projects. Continue to be single source of development for your client. We will act as ghost developer to assist your needs only

You can hire any dedicated Developers / Resource as Freelance at very reasonable pricing with excellent Turn Out Time to delivery

[vinokhatek]

Why is Python so popular with developers?

Finding the best tool to use to achieve the intended outcome is one of a developer's most crucial responsibilities. One of the most widely used programming languages is Python, and many companies are looking for Python specialists. But there are many issues with the developers' selection. 

1. ease of use and learning

Python is a simple and uncomplicated programming language. This is one of the reasons developers enjoy working on it. Python is simple for a new developer to learn. It is considerably easier to understand than other languages. This explains why it is so widely used in a wide range of industries and applications. Python is easy to install and needs little effort. It is platform-independent and suitable for a variety of applications.

2. Install and begin programming

Without a question, learning Python is easy; programmers can quickly get the feel of it. The best thing about Python is that it makes it simple for developers to work on projects without any prior coding knowledge. The developer only needs to install the stuff and start coding.

3. Rich Frameworks and Libraries

Python includes a lot of helpful libraries that simplify development. Programmers can simply import a library to accomplish difficult operations rather than writing the full application from scratch. Python libraries span a variety of subjects, including machine learning, data science, cybersecurity, and others. Some of the more well-known libraries include Scikit-Learn, Numpy, Tensorflow, Keras, and others

4. Web development and design

Python is a widely used language for developing websites. Python seems to be well among developers since it comes with web development frameworks and tools like Django and Flask.

5. Computerized devices

Due to its platform independence and adaptability, Python is used to automate a wide range of applications. Python may be quite time-efficient when used in automation. Python has a large collection of tools, packages, and modules that can be used to quickly automate projects. A framework for test automation called Pytest makes it easier to write automated Python code. It enables the rapid development of test scripts.

6. A Stable, Helpful Community

Around the world, Python has many vibrant programming communities. Other programmers can give solutions as people talk to one another about their code problems. As they create new applications, these communities offer programmers a lot of support.

7. Speed, consistency, and efficiency

Python is known for being more reliable, dependable, and quick than other sophisticated languages. It now can be employed in almost any circumstance, which is clearly a huge advantage. Python would be a great coding language to utilize for the project whether the developer is working on hardware programming, a desktop application, a website, or a mobile app.

8. Extensive Career Opportunities

Python programmers have a wide range of employment options to select from. Python has achieved extraordinary success and is currently among the most widely used coding languages. It is now used in the production of video games, operating systems, mobile apps, online applications, artificial intelligence, machine learning, and mobile apps.  Python programmers are in high demand right now, as so many industries greatly influence innovation and improvement.

[webdevelopment02]

web development

Creating a successful web development blog involves a combination of technical expertise, engaging content, and a well-structured approach. Here's a comprehensive guide to get you started:

1. Define Your Niche and Audience

Identify Your Niche: Decide whether you want to focus on front-end development, back-end development, full-stack development, specific frameworks (like React, Angular, Django), or other topics such as web design, performance optimization, or web security.

Know Your Audience: Determine if your content is for beginners, intermediate developers, or advanced professionals. Tailor your content to their needs and skill levels.

2. Set Up Your Blog

Choose a Platform: Popular choices include WordPress, Ghost, or static site generators like Jekyll or Hugo.

Select a Domain Name: Pick a domain name that reflects your brand and is easy to remember.

Hosting: Choose a reliable hosting provider. For static sites, consider Netlify or GitHub Pages.

3. Design and User Experience

Responsive Design: Ensure your blog is mobile-friendly.

User-Friendly Navigation: Make it easy for users to find content with a clear menu and search functionality.

Performance Optimization: Optimize your blog for speed. Use tools like Google Lighthouse to check performance.

4. Content Strategy

Regular Updates: Post consistently. Create a content calendar to plan your posts.

Engaging Titles: Craft compelling headlines to attract readers.

Quality Content: Focus on creating high-quality, informative, and well-researched posts. Use code snippets, images, and videos to enhance your content.

SEO Best Practices: Use keywords effectively, optimize meta tags, and create descriptive alt text for images.

5. Types of Content

Tutorials and How-To Guides: Step-by-step guides are very popular in web development.

Case Studies: Share detailed analysis of projects you've worked on.

Opinion Pieces: Write about trends, best practices, and industry news.

Interviews and Guest Posts: Collaborate with other developers to bring new perspectives.

Project Showcases: Share your projects and the development process.

6. Promote Your Blog

Social Media: Share your posts on platforms like Twitter, LinkedIn, and relevant Facebook groups.

Developer Communities: Engage with communities on Reddit, Stack Overflow, and GitHub.

Networking: Connect with other bloggers and developers to cross-promote content.

7. Monetization Strategies

Affiliate Marketing: Promote tools and services you trust and earn a commission.

Sponsored Posts: Partner with companies for sponsored content.

Ads: Use Google AdSense or other ad networks.

Sell Products or Services: Offer e-books, courses, or freelance services.

8. Analytics and Feedback

Track Performance: Use Google Analytics to monitor traffic, user behavior, and popular content.

User Feedback: Encourage comments and feedback to understand what your readers value.

9. Continuous Learning and Improvement

Stay Updated: Keep up with the latest in web development by following industry news and trends.

Improve Your Skills: Continuously learn new technologies and improve your writing and technical skills.

Example Blog Post Outline

Title: Building a Responsive Navigation Bar with Flexbox

Introduction

Brief overview of the importance of a responsive navigation bar

What will be covered in the tutorial

Prerequisites

List of tools and knowledge required

Setting Up the Project

Creating the HTML structure

Adding basic CSS

Using Flexbox for Layout

Explanation of Flexbox properties

Applying Flexbox to the navigation bar

Making it Responsive

Media queries for different screen sizes

Ensuring usability on mobile devices

Final Touches

Adding animations and hover effects

Testing across browsers

Conclusion

Summary of what was learned

Encouragement to experiment further

Call to action (e.g., share the post, try a related tutorial)

Resources for Learning and Inspiration

Websites: MDN Web Docs, CSS-Tricks, Smashing Magazine

Books: "Eloquent JavaScript" by Marijn Haverbeke, "You Don’t Know JS" by Kyle Simpson

Podcasts: Syntax, ShopTalk Show

Final Tips

Be Patient: Building an audience takes time.

Be Authentic: Share your unique perspective and experiences.

Engage with Your Readers: Respond to comments and build a community around your blog.

Starting a web development blog can be highly rewarding, both personally and professionally. By following these steps, you’ll be well on your way to creating valuable content for the web development community.

[nahasaero]

Avoid displaying data in plt.hist python jupyter notebook

#AVOID DISPLAYING DATA IN PLT.HIST PYTHON JUPYTER NOTEBOOK HOW TO#

#AVOID DISPLAYING DATA IN PLT.HIST PYTHON JUPYTER NOTEBOOK CODE#

When I did this, however, I received this message.

#AVOID DISPLAYING DATA IN PLT.HIST PYTHON JUPYTER NOTEBOOK CODE#

I replicated this code in a Jupyter cell and clicked "Run". 'Hogs')Īx1.pie(sizes, explode=explode, labels=labels, autopct='%1.1f%%',Īx1.axis('equal') # Equal aspect ratio ensures that pie is drawn as a circle. # Pie chart, where the slices will be ordered and plotted counter-clockwise:Įxplode = (0, 0.1, 0, 0) # only "explode" the 2nd slice (i.e. Here is the annotated sample code that the tutorial offers: import matplotlib.pyplot as plt First, I went to the pie chart tutorial on the matplotlib website in order become familiar with the basics: I am using Jupyter and matplotlib in a miniconda environment on Linux. I am unsure if this is the correct sub-reddit to post this question, so if there is somewhere better please let me know. Subreddit CSS and other assets can be found on github here: If you have any questions/suggestions/special offers for the community please message the moderators: Posting homework assignments is not prohibited if you show that you tried to solve it yourself. Either the example compiles cleanly, or causes the exact error message about which you want help.Īvoid posting a lot of code in your posts. Include the error you get when running the code, if there is one.Įnsure your example is correct. SSCCE Keep your code Short, Self Contained, Correct (Compilable) and provide Example Your code is hard to read and test otherwise.īe sure to try out suggestions you get and report back. Proofread your answers for clarity and correctness.įormat your code for reddit or use a site like github or pastebin. Try to guide OP to a solution instead of providing one directly.Īnswer the question and highlight side-issues if any exist.ĭon't "answer and run", be prepared to respond to follow up questions. r/Python /r/madeinpython /r/programmingbuddies /r/pythontips /r/flask /r/django /r/pygame /r/programming /r/learnprogramming /r/dailyprogrammer Guidelines Commenting

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Guide on how to join and different IRC clients: /wiki/IRCĪll learning resources are in the wiki: /r/learnpython/w/indexįrequently Asked Questions: /r/learnpython/w/FAQ Join us in the IRC channel: #learnpython on libera.chat Reddit rules These apply also on this subreddit.Posting screenshot of the code is (generally) not allowed.Posting only assignment/project goal is not allowed.Please do not delete your post after you get an answer, others might have a similar question or want to continue the conversation. Please, no "hit and run" posts, if you make a post, engage with people that answer you. Rule 3: No recruiting/hiring/seeking others posts.Rule 2: No posts advertising blogs/videos/tutorials/etc.Rule 1: Posts must be about learning python.The easiest way to create a histogram using Matplotlib, is simply to call the hist function: plt.Please read the rules and guidelines below and search before posting. Tip! If you’re working in the Jupyter environment, be sure to include the %matplotlib inline Jupyter magic to display the histogram inline. This hist function takes a number of arguments, the key one being the bins argument, which specifies the number of equal-width bins in the range. To create a histogram in Python using Matplotlib, you can use the hist() function. Creating a Histogram in Python with Matplotlib It might make sense to split the data in 5-year increments. We can see from the data above that the data goes up to 43. We can then create histograms using Python on the age column, to visualize the distribution of that variable. Let’s begin by loading the required libraries and our dataset. The histogram can turn a frequency table of binned data into a helpful visualization: Loading our Dataset If you want to learn how to create your own bins for data, you can check out my tutorial on binning data with Pandas. The shape of the histogram displays the spread of a continuous sample of data. The taller the bar, the more data falls into that range. Creating a Histogram in Python with PandasĪ histogram is a chart that uses bars represent frequencies which helps visualize distributions of data.īars can represent unique values or groups of numbers that fall into ranges.Changing Matplotlib Histogram Appearance.Creating a Histogram in Python with Matplotlib.

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Python Pandas is an open source library which we use in data science and analysis. This is specially developed for data science, data analysis and data manipulation. It is built upon the NumPy and the NumPy is uses to handle the numeric data in the tabular form. Python has built-in features to apply these wrangling methods to various data sets to achieve the analytical goal. Python Data Cleansing involves processing the data in various formats like - merging, grouping, concatenating etc. for the purpose of analyzing. The Pandas library is one of the most preferred tools for data manipulation and analysis, explored the fast, flexible, and expressive Pandas data structures. These libraries are basically used in data science and the manipulation of bulk data which we are getting from our database and extract the meaningful information from the data which we require. Please watch our video tutorial for more learning also for advanced learning you can check out our data science project-based training which is for our data science aspirants . Our training is a complete packaged for new and experienced professionals which is completely based on 100% practical scenario and project. For more details you can visit our website BISP Trainings or call +91 769-409-5404 or +1 386-279-6856. We understand your unique needs and challenges, whether a small or medium-sized business, we work for your need. We can help with Python, Django custom development and Implementation services. We have a team of experts and well experienced expert Developers; we can help you in all phrase of development from Implementation to Development.