#python training in

[nostalgebraist]

Due to recent experiences, I am feeling an urge to make an anti-drug-style PSA except it's warning impressionable machine-learning-curious teens to never, ever try a thing called "Huggingface transformers Trainer"

Not. Even. Once.

[privt-eye]

[volume up!] (more or less) all of my first-watches of 2024 in honor of the new year.

[nyxyooni]

"the longest day" is fucking hilarious. the a plot is hiccup and toothless going absolutely through it against a dragon mother ship and her fighter jets while the b plot is the rest of the gang being so mindfuckingly sleep-deprived they couldn't even wash dragons three times their size and said dragons throwing a coup by locking the gang up in a hole. like?

[miae-bee]

Stoick, looking down the town through the window: One day, lad, all this will be yours

Hiccup: What, the curtains?

Stoick: No, not the curtains

[defilerwyrm]

Snake Training Log 002

Stage: 2 Trainees: Seiryu, Enyo Duration: 18 minutes

Seiryu was already out when I started. She made a slow retreat and may have been watching, but given I was trying to keep my eyes off her tank so I can't be sure.

I just cleaned and rearranged Enyo's tank, including a complete substrate change, so one might count that as cheating a bit. She came out when I came to the front of the rack, but instead of watching me, she spent that time exploring her tank. In fact she's still out and climbing around on the branches about 40 minutes after the fact.

Honestly I think it's a good sign that she was able to focus on exploring with me standing right there. It tells me that she doesn't feel threatened by my presence. She's always been more on the outgoing side so I suspect she'll be the first to graduate to stage 3.

[fenix-the-seahorse]

Let me introduce you to the pets!

Grim

My service dog, a Blue Heeler/Lab mix. His birthday is October 13th and he is 2! He works for several things with me, like PTSD, dissociation and POTS.

Marvel

My gf's puppy, he is 1 ½ and a pittie mix (possibly boxer?). His birthday is 13th of April.

Phoenix

My partner's retired service dog! She's turning 7 on November 13th! She is a Lab/Blue Tick Hound, and currently her favorite hobby is acting out because of my partner going back to work.

Nova

She's our foster! She is 7 months, a Blue Heeler/Catahoula Leopard Dog, and in training as a service dog for hearing loss and PTSD. Her birthday is April 10th. She only got here Wednesday and has been settling in amazingly. She picks up on things so fast, and I will be going out with her future handler to get her more things tomorrow.

Jax

Jax is my gf's cat, he is 10 now, and a Hurricane rescue. He's got some thyroid issues and getting old, so he doesn't leave the utility/cat room much.

Goliath

Him and Hubba Bubba have only lived here since yesterday! My partner adopted Goliath and it turned out he had bonded to Hubba Bubba, so I now have a cat as well. His birthday is estimated to be 09/2021, so he is 3. He is very cuddly but likes his own space, and he is massive, so the name fits.

Hubba Bubba

Hubba Bubba is the other cat we got yesterday. His birthday is estimated to be the same as Goliath, 09/2021. He is lovey and cuddly, and I have spent most of this evening having him come up to me for love and cuddles. He is absolutely jacked, hence why he looks a bit chunky. But he isn't, just 50/50 fluff and muscle. He is everything I ever wanted in a cat.

Sam

A bearded dragon! We rescue exotic pets, and Sam is one of them. He is about 1 now, and a bit of a bully. He has repeatedly mistaken a freckle on my arm to be a bug, and also made himself at home in my hoodie pocket.

Dean

Another beardie! Dean is about as old as Sam, and makes up what he lacks in brains in sheer audacity. He has not figured out the concept of glass, or that he can not eat two roaches at once. But we love him!

Ozymandias (Ozzy)

Ozzy the Ball Python, my partner's snake. He is also not much older than the beardies and mostly keeps to himself, but he does like to be a bracelet sometimes.

There are also Miles, my hamster, and Kihe, my gf's leopard Gecko. Tumblr restricts me to 10 images though, so I'll see what to do about that!

We also do dog daycare/boarding through Rover, and I am working towards getting my trainer certificate. In the meantime, I am working for a low cost as a dog trainer locally.

[sak-shi]

Python Libraries to Learn Before Tackling Data Analysis

To tackle data analysis effectively in Python, it's crucial to become familiar with several libraries that streamline the process of data manipulation, exploration, and visualization. Here's a breakdown of the essential libraries:

 1. NumPy

   - Purpose: Numerical computing.

   - Why Learn It: NumPy provides support for large multi-dimensional arrays and matrices, along with a collection of mathematical functions to operate on these arrays efficiently.

   - Key Features:

     - Fast array processing.

     - Mathematical operations on arrays (e.g., sum, mean, standard deviation).

     - Linear algebra operations.

 2. Pandas

   - Purpose: Data manipulation and analysis.

   - Why Learn It: Pandas offers data structures like DataFrames, making it easier to handle and analyze structured data.

   - Key Features:

     - Reading/writing data from CSV, Excel, SQL databases, and more.

     - Handling missing data.

     - Powerful group-by operations.

     - Data filtering and transformation.

 3. Matplotlib

   - Purpose: Data visualization.

   - Why Learn It: Matplotlib is one of the most widely used plotting libraries in Python, allowing for a wide range of static, animated, and interactive plots.

   - Key Features:

     - Line plots, bar charts, histograms, scatter plots.

     - Customizable charts (labels, colors, legends).

     - Integration with Pandas for quick plotting.

 4. Seaborn

   - Purpose: Statistical data visualization.

   - Why Learn It: Built on top of Matplotlib, Seaborn simplifies the creation of attractive and informative statistical graphics.

   - Key Features:

     - High-level interface for drawing attractive statistical graphics.

     - Easier to use for complex visualizations like heatmaps, pair plots, etc.

     - Visualizations based on categorical data.

 5. SciPy

   - Purpose: Scientific and technical computing.

   - Why Learn It: SciPy builds on NumPy and provides additional functionality for complex mathematical operations and scientific computing.

   - Key Features:

     - Optimized algorithms for numerical integration, optimization, and more.

     - Statistics, signal processing, and linear algebra modules.

 6. Scikit-learn

   - Purpose: Machine learning and statistical modeling.

   - Why Learn It: Scikit-learn provides simple and efficient tools for data mining, analysis, and machine learning.

   - Key Features:

     - Classification, regression, and clustering algorithms.

     - Dimensionality reduction, model selection, and preprocessing utilities.

 7. Statsmodels

   - Purpose: Statistical analysis.

   - Why Learn It: Statsmodels allows users to explore data, estimate statistical models, and perform tests.

   - Key Features:

     - Linear regression, logistic regression, time series analysis.

     - Statistical tests and models for descriptive statistics.

 8. Plotly

   - Purpose: Interactive data visualization.

   - Why Learn It: Plotly allows for the creation of interactive and web-based visualizations, making it ideal for dashboards and presentations.

   - Key Features:

     - Interactive plots like scatter, line, bar, and 3D plots.

     - Easy integration with web frameworks.

     - Dashboards and web applications with Dash.

 9. TensorFlow/PyTorch (Optional)

   - Purpose: Machine learning and deep learning.

   - Why Learn It: If your data analysis involves machine learning, these libraries will help in building, training, and deploying deep learning models.

   - Key Features:

     - Tensor processing and automatic differentiation.

     - Building neural networks.

 10. Dask (Optional)

   - Purpose: Parallel computing for data analysis.

   - Why Learn It: Dask enables scalable data manipulation by parallelizing Pandas operations, making it ideal for big datasets.

   - Key Features:

     - Works with NumPy, Pandas, and Scikit-learn.

     - Handles large data and parallel computations easily.

Focusing on NumPy, Pandas, Matplotlib, and Seaborn will set a strong foundation for basic data analysis.

[why-tap]

7 Most Popular Coding Challenge Websites 😱

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[tmmyhug]

does anyone here have an understanding of python turtle graphics

[ratchet9cooper]

The National film registry is announcing this years additions in the next couple days, so i wanted to share what my 50 votes were this year.

300 (Zach Snyder, 2007)

AFL-NFL World Championship Game-with ads (1963)

Akira (Katsuhiro Ôtomo, 1988)

Aladdin (Ron Clements and John Musker 1992)

Batman (Tim Burton, 1989)

Bill & Ted’s Excellent Adventure (Stephen Herek, 1989)

The Birdcage (Mike Nichols,1996)

Captain America: The First Avenger (Joe Johnston, 2011)

A Charlie Brown Christmas (Bill Melendez, 1965)

A Christmas Carol (Edwin L. Marin, 1938)

Couples Retreat (Peter Billingsley, 2009)

The Evil Dead (Sam Raimi, 1981)

A Few Good Men (Rob Reiner, 1992)

Fiddler on the Roof (Norman Jewison, 1971)

Finding Nemo (Andrew Stanton and Lee Unkrich. 2003)

The Fugitive (Andrew Davis, 1993)

Godzilla (Ishirô Honda, 1954)

The Good the Bad and the Ugly (Sergio Leone, 1967)

The Great Escape (John Sturges, 1963)

The Green Mile (Frank Darabont, 1999)

Happy Gilmore (Dennis Dugan, 1996)

Harry Potter and the Sorcerer’s Stone (Chris Columbus, 2001)

Harvey (Henry Koster, 1950)

How to Train your Dragon (Dean DeBlois and Chris Sanders, 2010)

The Hunting trilogy-Looney Tunes (Rabbit Fire, Rabbit Seasoning, Duck! Rabbit, Duck!)

The Incredibles (Brad Bird, 2004)

John Wick (Chad Stahelski, 2014)

Kung Fu Panda (Mark Osborne and John Stevenson, 2008)

Lethal Weapon (Richard Donner, 1987)

The Lord of the Rings: The Two Towers (Peter Jackson, 2002)

The Many Adventures of Winnie the Pooh (John Lounsbery, Wolfgang Reitherman, and Ben Sharpsteen, 1977)

Monty Python and the Holy Grail (Terry Gilliam and Terry Jones,1975)

Metropolis (Fritz Lang, 1927)

My Big Fat Greek Wedding (Joel Zwick, 2002)

My Cousin Vinny (Jonathan Lynn, 1992)

Mulan (Tony Bancroft and Barry Cook, 1998)

The Nativity Story (Catherine Hardwicke, 2006)

The Parent Trap (David Swift, 1961)

The Passion of the Christ (Mel Gibson, 2004)

Phantasm (Don Cascorelli, 1979)

The Pirates of the Caribbean: Curse of the Black Pearl (Gore Verbinski, 2003)

RED (Robert Schwentke, 2010)

Spider-Man (Sam Raimi, 2002)

Talladega Nights: The Ballad of Ricky Bobby (Adam McKay, 2006)

The Truman Show (Peter Weir, 1998)

Unbreakable (M. Night Shyamalan, 2000)

The Usual Suspects (Bryan SInger, 1995)

War games (John Badham, 1983)

While You Were Sleeping (Jon Turteltaub, 1995)

You Can’t Take it With You (Frank Capra, 1938)

[mehdilrc]

Python Tutorial Notes

This tutorial teaches you the fundamentals of Python programming. Python is a versatile language used for various tasks, including machine learning, data science, and web development. Python can also be used for automation, saving time and increasing productivity.

Get Now form here

[emexotechnologies]

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[firstbitsolutions]

Which is better full stack development or testing?

Full Stack Development vs Software Testing: Which Career Path is Right for You?

In today’s rapidly evolving IT industry, choosing the right career path can be challenging. Two popular options are Full Stack Development and Software Testing. Both of these fields offer unique opportunities and cater to different skill sets, making it essential to assess which one aligns better with your interests, goals, and long-term career aspirations.

At FirstBit Solutions, we take pride in offering a premium quality of teaching, with expert-led courses designed to provide real-world skills. Our goal is to help you know, no matter which path you choose. Whether you’re interested in development or testing, our 100% unlimited placement call guarantee ensures ample job opportunities. In this answer, we’ll explore both career paths to help you make an informed decision.

Understanding Full Stack Development

What is Full Stack Development?

Full Stack Development involves working on both the front-end (client-side) and back-end (server-side) of web applications. Full stack developers handle everything from designing the user interface (UI) to managing databases and server logic. They are versatile professionals who can oversee a project from start to finish.

Key Skills Required for Full Stack Development

To become a full stack developer, you need a diverse set of skills, including:

Front-End Technologies: HTML, CSS, and JavaScript are the fundamental building blocks of web development. Additionally, proficiency in front-end frameworks like React, Angular, or Vue.js is crucial for creating dynamic and responsive web interfaces.

Back-End Technologies: Understanding back-end programming languages like Node.js, Python, Ruby, Java, or PHP is essential for server-side development. Additionally, knowledge of frameworks like Express.js, Django, or Spring can help streamline development processes.

Databases: Full stack developers must know how to work with both SQL (e.g., MySQL, PostgreSQL) and NoSQL (e.g., MongoDB) databases.

Version Control and Collaboration: Proficiency in tools like Git, GitHub, and agile methodologies is important for working in a collaborative environment.

Job Opportunities in Full Stack Development

Full stack developers are in high demand due to their versatility. Companies often prefer professionals who can handle both front-end and back-end tasks, making them valuable assets in any development team. Full stack developers can work in:

Web Development

Mobile App Development

Enterprise Solutions

Startup Ecosystems

The flexibility to work on multiple layers of development opens doors to various career opportunities. Moreover, the continuous rise of startups and digital transformation initiatives has further fueled the demand for full stack developers.

Benefits of Choosing Full Stack Development

High Demand: The need for full stack developers is constantly increasing across industries, making it a lucrative career choice.

Versatility: You can switch between front-end and back-end tasks, giving you a holistic understanding of how applications work.

Creativity: If you enjoy creating visually appealing interfaces while also solving complex back-end problems, full stack development allows you to engage both creative and logical thinking.

Salary: Full stack developers typically enjoy competitive salaries due to their wide skill set and ability to handle various tasks.

Understanding Software Testing

What is Software Testing?

Software Testing is the process of evaluating and verifying that a software product or application is free of defects, meets specified requirements, and functions as expected. Testers ensure the quality and reliability of software by conducting both manual and automated tests.

Key Skills Required for Software Testing

To succeed in software testing, you need to develop the following skills:

Manual Testing: Knowledge of testing techniques, understanding different testing types (unit, integration, system, UAT, etc.), and the ability to write test cases are fundamental for manual testing.

Automated Testing: Proficiency in tools like Selenium, JUnit, TestNG, or Cucumber is essential for automating repetitive test scenarios and improving efficiency.

Attention to Detail: Testers must have a keen eye for identifying potential issues, bugs, and vulnerabilities in software systems.

Scripting Knowledge: Basic programming skills in languages like Java, Python, or JavaScript are necessary to write and maintain test scripts for automated testing.

Job Opportunities in Software Testing

As the demand for high-quality software increases, so does the need for skilled software testers. Companies are investing heavily in testing to ensure that their products perform optimally in the competitive market. Software testers can work in:

Manual Testing

Automated Testing

Quality Assurance (QA) Engineering

Test Automation Development

With the rise of Agile and DevOps methodologies, the role of testers has become even more critical. Continuous integration and continuous delivery (CI/CD) pipelines rely on automated testing to deliver reliable software faster.

Benefits of Choosing Software Testing

Job Security: With software quality being paramount, skilled testers are in high demand, and the need for testing professionals will only continue to grow.

Quality Assurance: If you have a knack for perfection and enjoy ensuring that software works flawlessly, testing could be a satisfying career.

Automated Testing Growth: The shift toward automation opens up new opportunities for testers to specialize in test automation tools and frameworks, which are essential for faster releases.

Flexibility: Testing provides opportunities to work across different domains and industries, as almost every software product requires thorough testing.

Full Stack Development vs Software Testing: A Comparative Analysis

Let’s break down the major factors that could influence your decision:

Factors

Full Stack Development

Software Testing

Skills

Proficiency in front-end and back-end technologies, databases

Manual and automated testing, attention to detail, scripting

Creativity

High – involves creating and designing both UI and logic

Moderate – focuses on improving software through testing and validation

Job Roles

Web Developer, Full Stack Engineer, Mobile App Developer

QA Engineer, Test Automation Engineer, Software Tester

Career Growth

Opportunities to transition into senior roles like CTO or Solution Architect

Growth towards roles in automation and quality management

Salary

Competitive with wide-ranging opportunities

Competitive, with automation testers in higher demand

Demand

High demand due to increasing digitalization and web-based applications

Consistently high, especially in Agile/DevOps environments

Learning Curve

Steep – requires mastering multiple languages and technologies

Moderate – requires a focus on testing tools, techniques, and automation

Why Choose FirstBit Solutions for Full Stack Development or Software Testing?

At FirstBit Solutions, we provide comprehensive training in both full stack development and software testing. Our experienced faculty ensures that you gain hands-on experience and practical knowledge in the field of your choice. Our 100% unlimited placement call guarantee ensures that you have ample opportunities to land your dream job, no matter which course you pursue. Here’s why FirstBit is your ideal training partner:

Expert Trainers: Learn from industry veterans with years of experience in development and testing.

Real-World Projects: Work on real-world projects that simulate industry scenarios, providing you with the practical experience needed to excel.

Job Assistance: Our robust placement support ensures you have access to job openings with top companies.

Flexible Learning: Choose from online and offline batch options to fit your schedule.

Conclusion: Which Career Path is Right for You?

Ultimately, the choice between full stack development and software testing comes down to your personal interests, skills, and career aspirations. If you’re someone who enjoys building applications from the ground up, full stack development might be the perfect fit for you. On the other hand, if you take satisfaction in ensuring that software is of the highest quality, software testing could be your calling.

At FirstBit Solutions, we provide top-notch training in both fields, allowing you to pursue your passion and build a successful career in the IT industry. With our industry-aligned curriculum, expert guidance, and 100% placement call guarantee, your future is in good hands.

So, what are you waiting for? Choose the course that excites you and start your journey toward a rewarding career today!

[jestindmseo]

Best Python training in kochi

Join our Python training in Kochi at Irohub Infotech and master programming from basics to advanced topics like data analysis and web development. Led by industry experts, our hands-on courses empower you to confidently tackle real-world coding challenges. Start your journey today and unlock endless tech opportunities!

[defilerwyrm]

Snake Training Log 003

Stage: 2

Trainees: Seiryū, Enyo

Duration: 20 minutes

Everyone was hungry today. It's feeding time soon.

Enyo was already out when the session began, but she was asleep. In a rather goofy position, I might add, stretched out along the branches with just her head stuck in her warm hide. She woke up a few minutes in and stuffed her face into the corner closest to me to tell me that she's never been fed in her life.

She pretty much stayed there the whole time, only really moving to make herself look more pathetic.

I've seen her out and about far more frequently since I have her tank a thorough cleaning, even during lights-on hours.

Seiryū began at the front of the tank, watching me, but after a few minutes, she moved on to sniff around her magloft where I had put last week's mouse for her to forage. Her movements were unhurried. While on the hunt, she still spent a good third of her time with her eyes on me.

Side note: she actually used her magloft for its intended purpose yesterday; I found her sleeping with her body and tail curled up in the hide and her chin resting on the branch outside it.

She approached the front of the tank a total of three times after moving away from it. The first time was at the end of her hunt around the magloft. She then moved to her high spots and basking platform, where she stretched towards the front glass twice.

I've noticed that compared to just a few days prior, she's already much less hasty in moving away from the front when I'm there. This feels like more progress.

[corsesrajtqwe]

Python training in noida

Softcrayons Institute provides the best python training in Noida with highly skilled industry expert trainers. There are so many people who would like to join a python course in Noida   The answer is simple that python is in large demand across the IT industries