#Python Developers in Los Angeles

[corporatewebsitedev]

Corporate Website Development

LA Marketing offers corporate website development tailored to businesses of all sizes. They create professional, high-performance websites that enhance brand image, engage clients, and support business goals. Their service includes custom design, integration with business tools like CRM systems, SEO optimization, and ongoing technical support to ensure scalability and security. Whether for small businesses or large corporations, LA Marketing ensures a customized solution that reflects the company's vision.

For more details, visit:

Website: https://la-marketing.us/services/web-development/corporate-website

Facebook: https://www.facebook.com/profile.php?id=61564412960524 

Linkedin: https://www.linkedin.com/company/dg-marketingcom/

X:  https://x.com/foreck_info

[techgropselosangeles]

How Much Cost To Develop A Packers And Movers App in 2025

The mobile technology era has also impacted the packers and movers industry as it is now easier than ever to track, manage, and serve customers through mobile applications. You should know cost planning is essential, before creating a packers and movers app in 2025.

As a mobile app development company based in Los Angeles, we at TechGropuse develop competitively priced, easy to use, and rich in features logistics mobile applications. In this guide, we will show you the cost to develop a packers and movers app, main functionalities to include, technology stack to use, and other cost determining factors.

In the 2025 planning year, one might ponder why they should invest in a packers and movers app. Here are some of the reasons why one might.

Logistics and moving technologies are emerging markets and the demand for on-demand moving services is growing. A properly designed app allows one to:

✔ Improve operational efficiency

✔ Automate booking and tracking for increased revenue streams

✔ Increase customer engagement

The right app developers in Los Angeles guarantee an extensible, highly available, and easy to maintain mobile application.

Important Aspects of a Packers and Movers App

User Features

Signup & Sign-In via Phone, Email, or Social Media

Select Service Type: Local, Domestic, or International Moving

Get instant quotes with our powerful calculators.

Booking & Scheduling

Real-Time Tracking via GPS

Payment Processing using Stripe, PayPal, or Razorpay

Feedback & Evaluation

Helpdesk (Chat/Call)

Admin Features

Dashboard & Analytics

Management of Users & Drivers

Bookings & Invoice Management

Payments and commissions

Resolve customer complaints

Driver/Worker Panel Features

Manage Profile

Accept/Reject Jobs

Navigate & Optimize Routes

Earnings and Payouts

Technological Stack of a Packers and Movers App

Components Technological Options

Front end: React Native, Flutter

Back end: Node.js, Python(Django)

Database options include: MongoDB, Firebase, MySQL

Cloud Storage includes: AWS, Google Cloud

Payment Processing with PayPal, Razorpay, and Stripe

Use of Google Maps API and Mapbox for Real Time Tracking

Ensure that the Mobile App Development Company you pick in Los Angeles has a comprehensive strategy to augment performance and scalability.

2025 Packers and Movers App Development Cost Analysis

The cost of developing a packers and movers app considers numerous factors:

Application Features and Complexity

App Type

Estimated Cost

Timeline

Basic App (MVP)

15,000−

15,000−30,000

3-5 Months

Mid-Level App (Advanced Features)

30,000−

30,000−60,000

6-8 Months

Enterprise App (Custom AI/ML, Multi-Location)

60,000−

60,000−150,000+

9-12 Months

Development Team Location

Region

Hourly Rate

USA (Los Angeles)

80−

80−150/hr

Eastern Europe

40−

40−80/hr

India

20−

20−50/hr

UI/UX Design Cost

Basic UI/UX: 

5,000−10,000

Custom Animations & Advanced UI: 

10,000−20,000

Backend & API Integration Cost

Basic Backend: 

8,000−15,000

Advanced APIs (Payment, Tracking, Analytics): 

15,000−30,000

Maintenance & Updates (Yearly)

15-20% of Initial Development Cost

Ways to Cut Down on Packers and Movers App Development Cost:

✔ Build an initial MVP (Minimum Viable Product)

✔ Implement Cross-Platform Development (React Native / Flutter)

✔ Hire a Reliable Mobile App Development Company in Los Angeles

✔ Utilize Open-Source Platforms

Reasons to Partner with TechGropse for Packers and Movers App Development:

As leading Mobile App Development Company in Los Angeles, we provide:

✅ Skilled App Developers in Los Angeles

✅ Tailor-Made & Flexible Plans

✅ Agile Development Process

✅ Pre- and Post-Launch Support, Maintenance, and Sustaining Services

✅ Affordable Pricing

Final Thought

Constructing a packers and movers app in 2025 requires detailed planning, selecting the right features, and choosing a reputable development partner. The cost can range from

15,000 to 150,000+, depending on complexity, features, and the location of developers.

If you’re in search of App Developers in Los Angeles, TechGropse is ready to aid you in designing a high-performance, cost-effective, and scalable logistics app.

📞 Call us now to schedule a FREE consultation!

FAQs

What is the time frame for developing a packers and movers app?

MVP – 3 to 5 months working; Full-fledged app – 6 to 12 months.

What is the appropriate technology stack for a logistics app?

Frontend: React Native / Flutter, Backend: Node.js / Python.

Is it possible to add ai features to my packers and movers app?

Absolutely! AI is helpful in route selection, predicting demand, and even in chatbots.

What is the annual cost incurred in maintaining the app?

It is approximately 15 – 20 percent of the overall development cost of the app.

What is the advantage of hiring an app development company in Los Angeles?

✅ Enhanced communication

✅ Better quality of work

✅ Good support after the app is launched

[evoldir]

Fwd: Postdoc: UCalifornia_LosAngeles.PopulationGenetics

Begin forwarded message: > From: evoldir@evol.biology.mcmaster.ca > Subject: Postdoc: UCalifornia_LosAngeles.PopulationGenetics > Date: 15 January 2025 at 06:00:38 GMT > To: rdmpage@gmail.com > > > > > Postdoctoral research position at UCLA in population genetics > > The Garud lab is seeking a postdoc to join our group > (https://ift.tt/e93urGN the Department of Ecology and > Evolutionary Biology at the University of California, Los Angeles.Our > lab focuses on quantifying evolutionary dynamics in natural > populations, with an emphasis on the human gut microbiome. We are > primarily a population genetics group using computational and > statistical techniques to gain an insight into the dynamics of > evolution. The position may be either100% in the Garud lab or joint > with Kirk Lohmueller?s group, also at UCLA. > > The successful candidate will have substantial input in the specific > nature of their research project. However, the project should broadly > fit within the lab?s goals of learning about evolution in natural > populations.There are a wide range of projects to choose from, > including developing fundamental population genetic theory, as well > as application of theory and models to metagenomic data. The candidate > is also welcome to work on other study systems besides human > microbiomes, including Drosophila and Humans. > > Candidates should have a Ph.D. in biology, genetics, computer > science, bioinformatics, statistics, computational biology, or a > related field. A background in population genetics/evolutionary > genomics is preferred.  As this is a computational position, > proficiency in programming in R, Perl, or Python, and shell scripting > is essential. Preference will be given to candidates with a strong > publication record, evidence of substantial research productivity, > and ability to successfully communicate scientific information. > > Interested candidates should send to Nandita Garud at ngarud@ucla.edu > the following: > > - A letter describing your background and motivations pursuing a > postdoc in the Garud Lab > > - CV that includes a brief 1-2 sentence description of your > contribution to past research projects. > > - Contact information for two referees who can provide references > upon request > > The University of California is an equal opportunity/affirmative > action employer. > > > > Nandita Garud, PhD > Associate Professor > Department of Ecology and Evolutionary Biology > Department ofHuman Genetics, DavidGeffen School of Medicine > University of California, Los Angeles > 621 Charles E. Young Drive South > Los Angeles, CA 90095-1606 > > Lab website: https://ift.tt/Lx32rBR > > Nandita Garud

[bigraagsbigblog]

"Large Language Models" - ChatGPT Coding Test for Building Networks

1/14/25

You said:

Hi! Pretend to be an expert in computer science who's a master of coding, that can help me develop code in response to a given prompt. Before you begin, take a deep breath, think carefully about your answer, and then respond. Thank you so much! 

ChatGPT said:

Thank you for setting the stage so thoughtfully! I'm ready to step into expert mode and help you tackle any coding challenge. Share your prompt, and I’ll approach it with precision, clarity, and creativity. Let’s build something great!

You said:

Please develop code in Python that can take in a strings representing cities, and numeric values representing distances between those cities, and then visually draw a map representing the network so far. 

ChatGPT said:

Here’s a Python script that can take strings representing cities and numeric values for distances between them, then visually draw a map of the network using the networkx library for graph representation and matplotlib for visualization.

Installation Requirements

Ensure you have the following libraries installed:

networkx: For graph data structure and algorithms

matplotlib: For visualization

You can install them via pip if necessary:

pip install networkx matplotlib

Code Implementation: import networkx as nx import matplotlib.pyplot as plt def draw_city_network(city_connections): """ Draws a city network map based on given connections.Parameters: city_connections (list of tuples): Each tuple contains two cities (str) and the distance (float or int) between them. Example: [("CityA", "CityB", 10), ("CityB", "CityC", 20)] """ # Create a graph object graph = nx.Graph() # Add edges (connections) to the graph for city1, city2, distance in city_connections: graph.add_edge(city1, city2, weight=distance) # Get edge weights for labeling edge_labels = {(city1, city2): distance for city1, city2, distance in city_connections} # Generate positions for cities (nodes) using a layout positions = nx.spring_layout(graph) # Draw the nodes and edges nx.draw(graph, positions, with_labels=True, node_size=1500, node_color='lightblue', font_size=10) # Draw edge labels (distances) nx.draw_networkx_edge_labels(graph, positions, edge_labels=edge_labels, font_color='red', font_size=10) # Show the plot plt.title("City Network Map") plt.show() Example usage city_connections = [ ("New York", "Boston", 215), ("Boston", "Chicago", 960), ("New York", "Chicago", 790), ("Chicago", "Los Angeles", 2015), ("Los Angeles", "San Francisco", 380) ] draw_city_network(city_connections)

How It Works

Input Format: The input is a list of tuples where each tuple contains:

Two cities (as strings)

Distance between them (as a numeric value) Example: [("CityA", "CityB", 10), ("CityB", "CityC", 20)]

Graph Creation: The script uses networkx.Graph() to create a graph object, adding edges (connections) with weights (distances).

Visualization:

Nodes (cities) are displayed with labels.

Edges (connections) are labeled with distances using nx.draw_networkx_edge_labels.

The spring_layout function determines node positions automatically for a visually appealing layout.

Interactive and Flexible: The function dynamically updates the graph based on the provided input, so you can easily modify the city_connections list to include more cities and distances.

Let me know if you'd like further enhancements, such as saving the map to a file or interactive features!

You said:

Now, can you alter this so I can map out links between friends in my friend group? I'd like to represent different types of links, like friends, in a relationship, roommates, etc as different colored links, and give them different weights, such that when it's visually plotted at the end, those with stronger "connections" are closer together on the map. 

ChatGPT said:

Here's how we can modify the script to represent different types of connections (friendship, relationship, roommates, etc.) with different colors and weights. The visual layout will adjust based on the weights, making stronger connections pull nodes closer together.

Enhanced Script for Friend Network

import networkx as nx import matplotlib.pyplot as plt def draw_friend_network(friend_connections): """ Draws a friend network map with different types of connections and weights.Parameters: friend_connections (list of tuples): Each tuple contains two people (str), the type of connection (str), and the weight (int or float). Example: [("Alice", "Bob", "friends", 2), ("Alice", "Eve", "roommates", 3)] """ # Create a graph object graph = nx.Graph() # Define colors for different types of connections connection_colors = { "friends": "blue", "relationship": "red", "roommates": "green", "family": "purple" } # Add edges to the graph with weights and types for person1, person2, connection_type, weight in friend_connections: graph.add_edge(person1, person2, weight=weight, connection_type=connection_type) # Get edge colors based on connection type edge_colors = [connection_colors[graph[u][v]["connection_type"]] for u, v in graph.edges] # Get edge weights for the spring layout and visualization edge_weights = [graph[u][v]["weight"] for u, v in graph.edges] # Generate positions for people (nodes) using a layout influenced by weights positions = nx.spring_layout(graph, weight="weight") # Draw the nodes nx.draw(graph, positions, with_labels=True, node_size=1500, node_color='lightblue', font_size=10) # Draw the edges with colors and weights nx.draw_networkx_edges(graph, positions, edge_color=edge_colors, width=edge_weights) # Create a legend for connection types for connection_type, color in connection_colors.items(): plt.plot([], [], color=color, label=connection_type, linewidth=2) plt.legend(title="Connection Types") plt.title("Friend Network Map") plt.show() Example usage friend_connections = [ ("Alice", "Bob", "friends", 2), ("Alice", "Eve", "roommates", 3), ("Bob", "Charlie", "relationship", 5), ("Charlie", "Eve", "friends", 1), ("Eve", "David", "family", 4), ("David", "Alice", "friends", 2) ] draw_friend_network(friend_connections)

Explanation of Features

Input Format:

Each connection is represented by a tuple:pythonCopy code("Person1", "Person2", "ConnectionType", Weight)

ConnectionType: Describes the type of link (e.g., "friends", "relationship", etc.).

Weight: A numeric value representing the strength of the connection. Higher weights make nodes closer in the spring layout.

Edge Colors:

A dictionary connection_colors maps connection types to colors, ensuring each type is visually distinct.

Weighted Spring Layout:

The spring_layout dynamically positions nodes based on edge weights, pulling strongly connected nodes closer.

Legend:

A legend is created using dummy plots to explain the colors representing connection types.

Scalable:

You can easily add more connection types by extending the connection_colors dictionary.

Visualization Insights

Stronger connections (higher weights) result in nodes being closer together.

Different connection types (e.g., friends vs. family) are visually distinct through color coding.

The spring layout balances aesthetics and clarity by taking weights into account.

Would you like to expand this further, such as adding interactive features or exporting the graph to a file?

You said:

That's fine for now! Thank you so much! 

ChatGPT said:

You're very welcome! 😊 I'm glad the solution works for you. If you ever want to tweak it or need help with another coding project, feel free to ask. Happy mapping, and enjoy visualizing your friend network! 🚀

[itcollegeca]

ABCO Technology  is an accredited computer training college in Los Angeles serving the community over past 23 years. The institution is an accredited college by Accrediting Commission of Career Schools and Colleges, a national accrediting agency approved by the US Department of Education.  Some our most in-demand programs include the Applied Associates Degree in Cyber Security, and diploma programs in Cybersecurity, Web Design and Development, and Programming in Python and Android Apps.

[sophiasmithg]

Which is the Best Python Web Development Company to Hire?

Have you ever wondered which programming language can deploy modern technology concepts and bring sophisticated systems into digital reality? Look no further than Python.

Python dominates the IT marketplace with its unmatched capability to create solutions for scientific research, healthcare systems, and virtually every industry need. Its prowess lies in transforming complex ideas into digital reality, making it exceptionally popular among global brands. Python isn't just a programming language; it's the key to realizing groundbreaking innovations in the digital world.

Here, we will explore leading Python web development companies and highlight key facts.

Due to Python’s capability to integrate advanced technologies like AI/ML, AR/VR, IoT, Blockchain, Big Data, or Neural Networks, businesses seek Python developers.

Python is highly versatile and offers numerous development opportunities. However, the success of your projects depends largely on hiring skilled developers who understand both coding and modern technology.

To help you find talented Python programmers, here's a list of top companies specializing in Python development.

Popular Python Companies in 2024

1. OnGraph

It is a leading Python web development firm in India with 250+ developers skilled in Python, JavaScript, React Native, and full-stack development. They specialize in creating projects with advanced features and user-friendly experiences. Additionally, they have expert designers, DevOps specialists, Machine Learning Engineers, Data Engineers, and business experts to deliver high-quality enterprise solutions.

Known for their expertise in Python development, they offer comprehensive web and cross-platform mobile app solutions using Python, Django, Flask, Go, ReactJs, Angular, and other cutting-edge technologies. With 10k+ projects delivered successfully, OnGraph is been recognized by Clutch, GoodFirms, and more for the next-gen development company.

If you're looking to hire Python developers capable of exceptional development, consider connecting with Valuecoders today.

Why choose OnGraph as a Python development outsourcing?

Web application development

Mobile application development

Ecommerce

eLearning Solutions

Custom applications

UI/UX Design

Requirements

Testing & Quality Assurance

Development Operations

2. ValueCoders

Valuecoders is a top choice for hiring Python programmers, excelling in delivering innovative solutions using modern technologies like AI, ML, Blockchain, and more. They have a team with expertise in Django, Flask, and Web2Py.

The company is highly regarded for its Python expertise across various industries and is recognized by NASSCOM and Deloitte for developing enterprise applications. With over 4000 successful projects and a 97% client retention rate, Valuecoders has been exceeding client expectations.

3. Iflexion

Iflexion has been a leader in custom software solutions, known for its expertise in Python web development. With 850+ IT professionals, they serve clients globally, across various industries and company sizes.

They specialize in comprehensive custom software development, focusing on expertise, effective client communication, and achieving business objectives. Iflexion integrates advanced technologies like blockchain, AI, AR, and VR to optimize their clients' business processes.

You can opt for their Python web development services backed by extensive experience in developing innovative solutions tailored to diverse business needs.

4. ClearSummit

As a leading Python web development firm in Los Angeles, ClearSummit focuses on crafting high-performance solutions that give businesses a competitive edge. Their foundation is built on robust engineering, led by a team of skilled professionals who create unique apps, websites, and user experiences from scratch.

ClearSummit values building strong, lasting relationships with clients. They prioritize integrity and aim to deliver innovative solutions that streamline processes and save enterprises time and money. Specializing in rapid prototyping and top-notch design and engineering, ClearSummit ensures high-quality outcomes throughout the development cycle.

5. Profil Software

Profil Software is a well-established Python web development company renowned for its expertise in Python development. With over a decade of experience, they excel in leveraging deep technical knowledge and strategic development processes to achieve successful outcomes. Their premium software solutions are highly valued by SMBs and startups alike.

Operating across 10+ countries and 4 continents, Profil Software specializes in creating innovative and high-value products. They focus on developing enterprise-centric solutions that enhance employee and customer experiences, leading to increased returns. Their structured onboarding process ensures projects begin smoothly, employing transparent and efficient development practices.

For robust Python web development services backed by extensive experience and global reach, Profil Software stands out as a trusted partner in delivering tailored solutions to meet diverse business needs.

6. Tintash

This company specializes in Python and Django, known for delivering cutting-edge solutions harnessing the power of Python. They boast a skilled team of designers, developers, engineers, and project managers dedicated to setting high standards in development. Their Python coders consistently receive praise from clients.

With developers averaging over 7 years of experience, they prioritize top-notch engineering. As an innovation-driven firm, they aim for excellence in every project, fostering mutual growth with their clients. They emphasize synergy, mutual growth, and transparency throughout each project.

For expert Python and Django solutions that prioritize quality and innovation, this company stands out as a reliable partner for businesses seeking impactful digital solutions.

7. SoftKraft

SoftKraft is your ideal partner for turning data into actionable insights. With a skilled team of Python developers, they create robust software solutions for businesses of all sizes, including startups and established companies looking to expand their presence from London and Birmingham to broader coverage across Europe.

Tips to Choose Python Web App Development Company

Consider the following factors to choose the right Python app development company.

Look for a company with experience in Python web development.

Check if they use Python frameworks like Django or Flask.

Make sure they can handle the size and complexity of your project.

Review their past projects to see if they match your needs.

Choose a company that communicates well and keeps you updated.

Ensure they have strong testing processes for quality assurance.

Ask about their support and maintenance services after launch.

Compare prices and find a company that fits your budget.

Read client reviews to understand their reputation.

Consider company culture and values for a good fit.

Wrapping Up

Python is a powerful programming language widely used for creating software applications, including web and mobile apps. Today, Python is especially popular for mobile app development, integrating modern technologies like blockchain, augmented/virtual reality, AI/ML, and more.

If you're looking to build cutting-edge solutions, you must hire a skilled Python programmer. They can bring your ideas to life in the digital world effectively.

Python offers numerous benefits and has strong community support, making it a top choice among developers. To leverage Python's potential, connect with an experienced Python development company. The companies recommended above specialize in hiring Python developers and providing exceptional service. Choose one to start transforming your ideas into successful digital products.

Connect with OnGraph for Python development outsourcing for next-level Python development services. 

Content Source URL: https://sophiaog.full-design.com/which-is-the-best-python-web-development-company-to-hire-70703040

[tocitynews]

Google Lays Off Hundreds Of ‘Core' Employees, Responsible For Building The Technical Foundation Behind The Company's Flagship Products And Protecting Users' Online Safety, –Moves Some Positions To India And Mexico – Los Angeles California reporting

Core teams include key technical units from information technology, its Python developer team, technical infrastructure, security foundation, app platforms, core developers and various engineering roles.

At least 50 of the positions eliminated were in engineering at the company's offices in Sunnyvale, California, filings show. Many of the Core teams will hire corresponding roles in Mexico and India, according to internal documents viewed by CNBC.

Google/Alphabet has been slashing headcount since early last year, when the company announced plans to eliminate about 12,000 jobs, or 6% of its workforce, following a downturn in the online ad market. Even with digital advertising rebounding in the past couple quarters, Alphabet has continued downsizing, with layoffs across multiple organizations this year.

CFO Ruth Porat announced in mid-April a restructuring to the company's finance department, which included layoffs and moving positions to Bangalore and Mexico City. The company's search boss, Prabhakar Raghavan, told employees at an all-hands meeting in March that Google plans to build teams closer to users in key markets, including India and Brazil, where labor is cheaper than in the U.S.

The latest cuts comes as the company enjoys its fastest growth rate since early 2022, alongside improving profit margins.

Last week, Alphabet reported a 15% jump in first-quarter revenue from a year earlier, and announced its first-ever dividend and a $70 billion buyback.

The Core layoffs also include the governance and protected data group, which will be at the center of regulatory challenges facing the company, particularly as lawmakers across the globe focus more on developments in AI. The European Union's Digital Markets Act (DMA) went into effect in March, and is aimed at clamping down on anti-competitive practices in tech.

[jamescameron872]

Chrome Hearts Hats: A Fashion Statement Like No Othe

Hats with Chrome Hearts are more than just stylish accessories; they're declarations of luxury and uniqueness. We explore the history, styles, materials, and other aspects of Chrome Hearts hats in this page.

Background and Histories of Chrome Hearts

Chrome Hearts began as a tiny leather goods company in Los Angeles when Richard Stark founded it in 1988. It has developed into a well-known luxury brand across the world over time, renowned for its cutting-edge designs and superb craftsmanship.

The Development of Hats with Chrome Hearts

Hats by Chrome Hearts have developed from basic caps to elaborate works of art. Although leather was the main material used in their creation at first, they today also use wool, cotton, and even exotic skins like alligator.

Trendy Designs and Styles

A variety of hat styles are available from Chrome Hearts, such as bucket hats, beanies, and snapbacks. The cross, fleur-de-lis, and dagger—three of the brand's hallmark motifs—adorn each model.

Components of Chrome Hearts

The best materials, such as premium leather, cashmere, and wool, are used to create Chrome Hearts hats. For its more upscale creations, the firm also uses exotic fabrics like crocodile and python.

Style Tips for Chrome Hearts Caps

Caps with Chrome Hearts can make any outfit seem better, from streetwear to elegant formal wear. Wear a snapback with jeans and a t-shirt for a more casual vibe, or team a Chrome Hearts beanie with a leather jacket for a tough yet stylish style.

Chrome Hearts Worn by Influencers and Celebrities

Chrome Hearts are frequently spotted on celebrities like Rihanna, Justin Bieber, and G-Dragon, which further solidifies the brand's position as a major force in fashion.

Where to Purchase Real Chrome Hearts Caps?

It's better to buy Chrome Hearts straight from the brand's official stores or approved dealers to make sure you're getting an original item. While genuine items might be found on websites like eBay and Grailed, be cautious of fake goods.

Upkeep and Repair of Chrome Hearts Caps

Spot clean your Chrome Hearts hat with a moist cloth and mild soap to keep it looking its best. The material can be harmed by employing strong chemicals or immersing it in water.

Conclusion

Chrome Hearts hats are more than just fashion pieces—they're representations of wealth and flair. A Chrome Hearts hat is an essential piece of apparel for everyone who enjoys fashion or just wants to stand out.

FAQs

Do Chrome Hearts  justify the price tag?

Yes, Chrome Hearts are a great investment for anyone wishing to add a little elegance to their wardrobe because they are made with the finest materials and exacting attention to detail.

How can I determine the authenticity of a Chrome Hearts hat?

The brand's name and/or emblem will be clearly visible on authentic Chrome Hearts hats, and the stitching will be consistent and tidy. They will also include an authenticity certificate from the company.

Can I get my Chrome Hearts hat personalized?

While putting initials or insignia to hats is something Chrome Hearts does provide, it is normally done in-store and may come with additional costs.

Are there many sizes available for Chrome Hearts?

Yes, there are several sizes of Chrome Hearts caps available to make sure that everyone fits comfortably.

Where can I get Chrome Hearts hats in the newest styles?

The official Chrome Hearts website and their global flagship stores are the finest places to find the newest designs of the brand's caps.

[vettechcareer]

ABCO Technology is an accredited computer training college in Los Angeles serving the community over past 23 years. The institution is an accredited college by Accrediting Commission of Career Schools and Colleges, a national accrediting agency approved by the US Department of Education. Some our most in-demand programs include the Applied Associates Degree in Cyber Security, and diploma programs in Cybersecurity, Web Design and Development, and Programming in Python and Android Apps.

[actowiz1]

Scrape Tweets Data by Location Using Python and snscrap

In this blog, we will take a comprehensive look into scraping Python wrapper and its functionality and specifically focus on using it to search for tweets based on location. We will also delve into why the wrapper may not always perform as expected. Let's dive in

snscrape is a remarkable Python library that enables users to scrape tweets from Twitter without the need for personal API keys. With its lightning-fast performance, it can retrieve thousands of tweets within seconds. Moreover, snscrape offers powerful search capabilities, allowing for highly customizable queries. While the documentation for scraping tweets by location is currently limited, this blog aims to comprehensively introduce this topic. Let's delve into the details:

Introduction to Snscrape: Snscrape is a feature-rich Python library that simplifies scraping tweets from Twitter. Unlike traditional methods that require API keys, snscrape bypasses this requirement, making it accessible to users without prior authorization. Its speed and efficiency make it an ideal choice for various applications, from research and analysis to data collection.

The Power of Location-Based Tweet Scraping: Location-based tweet scraping allows users to filter tweets based on geographical coordinates or place names. This functionality is handy for conducting location-specific analyses, monitoring regional trends, or extracting data relevant to specific areas. By leveraging Snscrape's capabilities, users can gain valuable insights from tweets originating in their desired locations.

Exploring Snscrape's Location-Based Search Tools: Snscrape provides several powerful tools for conducting location-based tweet searches. Users can effectively narrow their search results to tweets from a particular location by utilizing specific parameters and syntax. This includes defining the search query, specifying the geographical coordinates or place names, setting search limits, and configuring the desired output format. Understanding and correctly using these tools is crucial for successful location-based tweet scraping.

Overcoming Documentation Gaps: While snscrape is a powerful library, its documentation on scraping tweets by location is currently limited. This article will provide a comprehensive introduction to the topic to bridge this gap, covering the necessary syntax, parameters, and strategies for effective location-based searches. Following the step-by-step guidelines, users can overcome the lack of documentation and successfully utilize snscrape for their location-specific scraping needs.

Best Practices and Tips: Alongside exploring Snscrape's location-based scraping capabilities, this article will also offer best practices and tips for maximizing the efficiency and reliability of your scraping tasks. This includes handling rate limits, implementing error-handling mechanisms, ensuring data consistency, and staying updated with any changes or updates in Snscrape's functionality.

Introduction of snscrape Using Python

In this blog, we’ll use tahe development version of snscrape that can be installed withpip install git+https://github.com/JustAnotherArchivist/snscrape.git

Note: this needs Python 3.8 or latest

Some familiarity of the Pandas module is needed.

We encourage you to explore and experiment with the various features of snscrape to better understand its capabilities. Additionally, you can refer to the mentioned article for more in-depth information on the subject. Later in this blog, we will delve deeper into the user field and its significance in tweet scraping. By gaining a deeper understanding of these concepts, you can harness the full potential of snscrape for your scraping tasks.

Advanced Search Features

In this code snippet, we define the search query as "pizza near:Los Angeles within:10km", which specifies that we want to search for tweets containing the word "pizza" near Los Angeles within a radius of 10 km. The TwitterSearchScraper object is created with the search query, and then we iterate over the retrieved tweets and print their content.

Feel free to adjust the search query and radius per your specific requirements.

For comparing results, we can utilize an inner merging on two DataFrames:common_rows = df_coord.merge(df_city, how='inner')

That returns 50 , for example, they both have the same rows.

What precisely is this place or location?

When determining the location of tweets on Twitter, there are two primary sources: the geo-tag associated with a specific tweet and the user's location mentioned in their profile. However, it's important to note that only a small percentage of tweets (approximately 1-2%) are geo-tagged, making it an unreliable metric for location-based searches. On the other hand, many users include a location in their profile, but it's worth noting that these locations can be arbitrary and inaccurate. Some users provide helpful information like "London, England," while others might use humorous or irrelevant descriptions like "My Parents' Basement."

Despite the limited availability and potential inaccuracies of geo-tagged tweets and user profile locations, Twitter employs algorithms as part of its advanced search functionality to interpret a user's location based on their profile. This means that when you look for tweets through coordinates or city names, the search results will include tweets geotagged from the location and tweets posted by users who have that location (or a location nearby) mentioned in their profile.

To illustrate the usage of location-based searching on Twitter, let's consider an example. Suppose we perform a search for tweets near "London." Here are two examples of tweets that were found using different methods:

The first tweet is geo-tagged, which means it contains specific geographic coordinates indicating its location. In this case, the tweet was found because of its geo-tag, regardless of whether the user has a location mentioned in their profile or not.

The following tweet isn’t geo-tagged, which means that it doesn't have explicit geographic coordinates associated with it. However, it was still included in the search results because a user has given a location in the profile that matches or is closely associated with London.

When performing a location-based search on Twitter, you can come across tweets that are either geo-tagged or have users with matching or relevant locations mentioned in their profiles. This allows for a more comprehensive search, capturing tweets from specific geographic locations and users who have declared their association with those locations.

Get Location From Scraped Tweets

If you're using snscrape to scrape tweets and want to extract the user's location from the scraped data, you can do so by following these steps. In the example below, we scrape 50 tweets within a 10km radius of Los Angeles, store the data in a DataFrame, and then create a new column to capture the user's location.

If It Doesn’t Work According to Your Expectations

The use of the near: and geocode: tags in Twitter's advanced search can sometimes yield inconsistent results, especially when searching for specific towns, villages, or countries. For instance, while searching for tweets nearby Lewisham, the results may show tweets from a completely different location, such as Hobart, Australia, which is over 17,000 km away.

To ensure more accurate results when scraping tweets by locations using snscrape, it is recommended to use the geocode tag having longitude & latitude coordinates, along with a specified radius, to narrow down the search area. This approach will provide more reliable and precise results based on the available data and features.

Conclusion

In conclusion, the snscrape Python module is a valuable tool for conducting specific and powerful searches on Twitter. Twitter has made significant efforts to convert user input locations into real places, enabling easy searching by name or coordinates. By leveraging its capabilities, users can extract relevant information from tweets based on various criteria.

For research, analysis, or other purposes, snscrape empowers users to extract valuable insights from Twitter data. Tweets serve as a valuable source of information. When combined with the capabilities of snscrape, even individuals with limited experience in Data Science or subject knowledge can undertake exciting projects.

Happy scrapping!

For more details, you can contact Actowiz Solutions anytime! Call us for all your mobile app scraping and web scraping services requirements.

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[spacenutspod]

3 min read 2022 SaSa Graduate Student Mentors Emily Faber Emily is an Atmospheric Physics Ph.D. student at the University of Maryland, Baltimore County. She is finishing her 3rd year and works in the Laboratory for Atmospheric Studies and Particle Light Interaction under the guidance of Dr. Adriana Rocha Lima. She is interested in improving the physical parameterization of climate models through a better understanding of physical processes that drive the climate. Her thesis work sits in the space between physical measurements and climate modeling and seeks to improve the physical parameterization of surface wind speed and aerosolized dust, which is part of the general goal of improving aerosol physics parameterization in global climate models. She also enjoys advocating for women and underrepresented students in STEM and in her free time, you’ll find her exploring everything Maryland and D.C. have to offer or learning new roller-skating tricks. Alicia Hoffman Alicia is a 3rd year Ph.D. student at the University of Wisconsin – Madison in the Atmospheric and Oceanic Sciences department working with Dr. Tracey Holloway. In her research, she uses the Community Multiscale Air Quality (CMAQ) model to understand how nighttime N2O5 chemistry impacts daytime ozone concentration and particle composition. Both ozone and PM2.5 are important aspects of air quality to study because of their impacts on human health and the environment. Prior to attending UW Madison, she worked with Dr. Don Blake at University of California – Irvine studying landfill emissions for her Master of Science (M.S). She earned her Bachelor of Science (B.S) in Chemistry and Anthropology from Beloit College. Kylie Hoffman Kylie Hoffman is a fourth-year graduate student at the University of Maryland, Baltimore County. She earned her undergraduate degree in Meteorology in 2017 and is currently working towards her Ph.D. in Atmospheric Physics. Kylie’s current research interests include working with active and passive remote sensing observations to analyze the lowest layer of the atmosphere, the Planetary Boundary Layer (PBL). Her thesis topic is investigating the influence of converging air masses on PBL dynamics and thermodynamics in the Southern Great Plains region to improve the prediction of thunderstorms. David Moore David is currently a first-year Ph.D. student at the University of California, Los Angeles (UCLA), with a concentration in tropical cyclogenesis on terrestrial and aqua-covered exoplanets. In Spring 2021, he earned his bachelor’s degree in Atmospheric Science at the University at Albany, SUNY.  Fun Fact: Before he joined SaSa, he was previously a NASA Student Airborne Research Program (SARP) student during Summer 2020 (Go AeroSOULS!). Maurice Roots Maurice is pursuing a Ph.D. in Atmospheric Physics from the University of Maryland, Baltimore County. His research focuses on using observational datasets to study air pollution in coastal regions. He works with remote sensing instruments, like LIDAR (Light Detection and Ranging) and Spectrometers, as well as in-situ instruments, like Sondes and Air Samplers, to better understand how concentrations of pollutants like ozone and nitrogen dioxide change in location and time. He also uses Python for data analysis and tool development. Share Details Last Updated Nov 17, 2023 Related Terms General

[evoldir]

Fwd: Postdoc: UCalifornia_LosAngeles.PopulationGeneticsMicrobiome

Begin forwarded message: > From: evoldir@evol.biology.mcmaster.ca > Subject: Postdoc: UCalifornia_LosAngeles.PopulationGeneticsMicrobiome > Date: 19 April 2024 at 05:42:25 BST > To: rdmpage@gmail.com > > > > > Postdoc: UCLA.PopulationGenetics/Microbiome > > A postdoctoral research position is available in the lab of Dr. Nandita > Garud in the Department of Ecology and Evolutionary Biology at the > University of California, Los Angeles. We are broadly interested in > understanding the evolutionary dynamics of natural populations. A > considerable focus is on microbiomes, however, we also work with other > systems, including Drosophila and ancient human DNA. The lab develops > statistical and computational methods to gain insight into evolutionary > processes from population genomic data. > > The successful candidate will have substantial input in the specific > nature of their research project. However, the project should broadly > fit within the lab’s goals of learning about evolution in natural > populations.  Applicants with an interest in machine learning are also > encouraged to apply. > > Additional information can be found at: https://ift.tt/WzGoDKF > > The Ecology and Evolutionary Biology department at UCLA offers > a cutting-edge research environment with many opportunities for > collaboration. The lab will have affiliations with the Microbiome Center > at UCLA and the Institute for Quantitative and Computational Biology > at UCLA. > > Candidates should have a Ph.D. in biology, genetics, computer science, > bioinformatics, statistics, computational biology, or a related field. A > background in population genetics/evolutionary genomics is preferred. As > this is a computational position, proficiency in programming in R, Perl, > or Python, and shell scripting is essential. Preference will be given > to candidates with a strong publication record, evidence of substantial > research productivity, and ability to successfully communicate scientific > information. > > Review of applications will begin immediately and will continue until > the position is filled. > > Interested candidates should send to Nandita Garud atngarud@ucla.eduthe > following: > > - A letter describing your background and motivations pursuing a postdoc >  in the Garud Lab > - CV that includes a brief 1-2 sentence description of your contribution >  to past research projects. > - Contact information for two referees who can provide references >  upon request > - A description of your programming background. > - A description of your evolutionary coursework > - brief descriptions (e.g. 2 sentences each) of possible project ideas >  you would be interested in pursuing. > > > > Nandita Garud

[fearsmagazine]

EXORCISTIC: THE ROCK MUSICAL - Review

DATES: October 8th thru October 23rd, 2023 COMPANY: HRS Productions and Orgasmico Theatre THEATER: The Box, 189 Chrystie St, New York, NY 10002 ACTORS: Emma Hunton, Brian Logan Dales, Leigh Wolf, Jesse Merlin, Marissa Jaret Winokur, Nick Bredosky, Kim Dalton, Mitchell Gerrard Johnson, Gabby Sanalitro, Tyler Olshanksky and Lindsay Heather Pearce. CREW: Book, Lyrics, & Music - Michael Shaw Fisher; Directors - Chadd McMillan & Alli Miller-Fisher; Musical Director/Arrangements - Michael Teoli; Choreographer - Camal Pugh; Costume Designer/Lighting Designer - Chadd McMillan; Prop Designer - Kelly Stavert; Sound Designer - Thomas Queyja

SYNOPSIS: EXORCISTIC: The Rock Musical is a parody within a parody. Inspired by the 1973 movie, it is the story of a movie star whose daughter becomes possessed and is helped by priests who try to save her. The audience watches a struggling theater company at work as they develop the production on its way to Broadway. By the second act their lead, Emma Hunton, has taken “method acting” a step too far and is replaced with a Broadway star. However, things go awry as Emma returns and everything goes to hell.The production is packed with nineteen musical numbers, offering a rock take on show tunes, as the cast runs amok through the venue like the Marx Brothers meets the Animaniacs.

REVIEW: The unauthorized parody of The Exorcist was “Best Musical Winner” of the Hollywood Fringe Festival 2013 and returns ten years later to celebrate the 50th Anniversary. It comes to New York fresh from their sold-out run at The Three Clubs in Los Angeles.

This wickedly delightful parody spews its wit over a variety of themes and a period that ranges from the 70’s to present day. They don’t simply break down the fourth wall, they take over the entire performance space, in some instances on the audience’s tables and into their laps. To say it is intimate and in your face would be putting it mildly. The production is a hybrid of theater, cabarete, sketch comedy and slapstick that felt like Frank Oz’s cinematic adaptation of “Little Shop of Horrors” on acid. The jokes fly fast and furious, there is something for everyone, leaving the audience little time to recover in between. It is no wonder that there is an intermission, permitting the performers and audience time to catch their breath.

This is a fabulous ensemble cast. They move through the material and dance numbers with surgical precision of wittiness, moving about the space with a fluidity that feels like a classic Warner Bros. cartoon. Their voices belt out showtune rock ballads with clarity and mastery that transcends the cast recording, which I would recommend giving a listen to before seeing the performance - HERE, music and lyrics sounding like “Twisted Sister” meets “Monty Python,” with a big “Parental Advisory” needing to be slapped on something here. Emma Hunton’s performance is a tour de force, and I believe she has the most physical role in the show. She goes through numerous vocal changes that must wreak havoc on her voice by the end of the night, she belts out several power rock songs, and does a variety of gymnastic maneuvers, including one in the second act that is a la “Cirque du Soleil.” Actress Gabby Sanalitro is an utter delight as she seems to be possessed by the ghost of the neighborhood as she simultaneously channels the spirits of Fyvush Finkel/Zero Mostel and Lenny Bruce. The entire cast maintains an infectious high level of energy that leaves one wondering if it is wrong to feel this good by the end of the show.

The production designs and props are perfect for the jokes, sublime, yet minimalistic. The lighting was perfect in enhancing the performances and accentuating the jokes. There were times I wondered how they might achieve a certain scene and loved the execution with simple and clever props and designs. The costume designs were suited to the controlled chaos of the performance, clearly not Broadway costumes, but delightful touches to the tone and atmosphere of the moment.

EXORCISTIC: THE ROCK MUSICAL is a wickedly delightful treat perfect for the Halloween season. Having recently come away disappointed by the new Exorcist film, this take on the bawdy irreverent send up of the material left made for an excellent evening of theater. This big blasphemous, bodacious rowdy rock musical parody is not for the faint of heart, so be prepared to get your demon exorcized and your evening rocked.

Each night there will be a different special guest performer who will be played by: Marissa Rosen (For the Girls, Water for Elephants, Modern Love) Nick Cearly (The Skivvies, You’re a Good Man Charlie Brown) Jillian Schiralli (CATS, now that’s what i call 90s) Gerard Canonico (Almost Famous, The Dude Ranch) Jordan Donica (Camelot, RENT, Hamilton) Jamie Cepero (SMASH, The Function) and more!

The Box, located at 189 Chrystie St (look for the velvet rope and the gentleman in the tux or you’ll miss it), with the doors opening at 6:30 pm (full bar on site to get you into the spirit of the evening) and the show starting promptly at 7:30 pm. Tickets can be purchased HERE.

Review By: Joseph B Mauceri

[itcollegeca]

ABCO Technology  is an accredited computer training college in Los Angeles serving the community over past 23 years. The institution is an accredited college by Accrediting Commission of Career Schools and Colleges, a national accrediting agency approved by the US Department of Education.  Some our most in-demand programs include the Applied Associates Degree in Cyber Security, and diploma programs in Cybersecurity, Web Design and Development, and Programming in Python and Android Apps.

[fahrni]

Saturday Morning Coffee

Good morning from Charlottesville, Virginia! ☕️

Boy oh boy did I make a mistake last night. I stayed up until after midnight, Gracie woke me up at 3:30 to go out, then again at 5:30.

So, yeah, I need all the coffee this morning.

I hope you enjoy the links!

Reuters

Photoshop maker Adobe’s (ADBE.O) co-founder John Warnock died on Saturday aged 82, the company said in a statement early on Sunday.

Another legend gone.

R.I.P. Mr. Warnock.

Akela Lacy • The Intercept

A little over a week after a prosecutor in Georgia indicted former President Donald Trump for trying to overturn the results of the state’s 2020 presidential election, Republicans said they will use a new law to remove her from office.

I don’t understand the GOP. It’s clear the Orange Man is a criminal and needs to be brought to justice but their need for power overrides all else.

I’d expect violence to escalate if any of his cases are dropped.

Pathetic.

Kevin Purdy • Ars Technica

Dominic Szablewski grabbed that code before it disappeared and set about creating a version that’s not just a port. He rewrote the game’s rendering, physics, sound, and generally “everything everywhere.” He documented the project, put his code on GitHub, and has some version of a justification.

I haven’t looked at the code and probably never will but it would be interesting to see the diffs.

Something I learned a long time ago. Don’t be quick to judge others code. Someone else is eventually going to look at your code. Be kind.

The Onion

Texas Cancels School Over Concerns Extreme Heat Not Safe Environment For Shootings

I know it’s The Onion but I can believe Texas would do something like this.

Ben Lovejoy, Michael Potuck, and Filipe Espósito • 9to5mac.com

But yesterday, we learned that it had happened. Apple not only made a U-turn, supporting a Californian right to repair law it had previously opposed, but even went as far as actively endorsing it.

The only reason I can see for Apple’s 180 is they’ve discovered a new way to make a profit by doing it.

Vjeran Pavic • The Verge

The computer on Keegan McNamara’s desk is like nothing I’ve ever seen before. The machine sits on a light wood table, bathed in the sunlight coming into the second floor of McNamara’s Los Angeles house. McNamara, tall and blonde in jeans and a light khaki Carhartt jacket, walks over to the desk, sits down, and reaches over to hit the power button. Then he pauses. He forgot something. He digs into his pants pocket, pulls out his keys, picks a silver one, sticks it into a cylinder just to the right of the computer’s 8-inch screen, and turns.

I like this. A marriage of the warmth of wood and the cold of technology.

Annie Palmer • CNBC

Amazon is seeing some employees quit instead of moving to a new state as part of relocation mandate

I’m pretty sure we all knew there’d be a reckoning, even with return to office being unpopular.

Microsoft Excel • techcommunity.microsoft.com

Since its inception, Microsoft Excel has changed how people organize, analyze, and visualize their data, providing a basis for decision-making for the millions of people who use it each day. Today we’re announcing a significant evolution in the analytical capabilities available within Excel by releasing a Public Preview of Python in Excel.

This is a head scratcher. Excel has had a great language and IDE built in for years and years. It’s called Visual Basic for Applications and it’s truly great. In fact we had VBA integrated into Visio and you could do amazing things with it.

WillowTree Blog

Generative AI is transforming how we do business. But early adopters have discovered that large language models (LLMs) can occasionally provide responses that are out-of-left field, off-brand, heavily biased, or just plain wrong. The industry has termed these types of completions: hallucinations.

Developers, don’t let your LLM do drugs.

Strange Loop

Programming languages often prioritize either performance or ergonomics. Swift offers a unique modern type-safe low-ceremony approach taking the best of both worlds that scales from mobile apps to high-performance systems where previously memory-unsafe languages would be used. It also interoperates seamlessly with C and C++.

I’ve been waiting to hear about a high performance use of Swift. I expect we’ll see Swift make its way into an OS level component of macOS some day.

Dan Morrison • yardbarker.com

Hamlin went beyond picking a few crashes at the Coke Zero Sugar 400. In fact, he thinks NASCAR is going to have a crash fest on its hands, as he explained on the Actions Detrimental podcast.

This is the final weekend to make the playoffs and there are a few folks on the bubble. If the Xfinity race last night was any indicator of what’s to come tonight could be a real mess.

[synergytop]

Python Developers in Los Angeles

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