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This is going to be a long post, a mix of what happened and then what Charlie meant to me. TW pet death
Charlie has passed away after eating 2 bad rats from Big Cheese Rodent Factory. She regurgitated 3 days after feeding and died two days later. I have been purchasing f/t rats from Big Cheese for years, and if my friend hadn't been having these same problems with the same batch of jumbo rats I would have thought this could be a freak incident or a mistake on my part. However, my friend's snakes are also regurgitating and one has died after eating these jumbo rats, and we bought them during the same Mother's Day sale. Same batch. I'll be getting a necropsy on Charlie to see if that has any answers as to what was off with the rats.
Now I get it that sometimes food safety measures don't get carried out every time and most suppliers have some kind of scandal like this, but the company's callous response and refusal to even entertain that it could be their rats at fault is pretty fucked up and has me a bit heated. It's just a "coincidence" my friend's and my snakes are getting sick/dying after eating rats from the same batch. Eye roll. The money doesn't even matter to me at this point so I may not message them further about this, I'm just so upset over the cold response and the loss of Charlie.
The email response from them:
With that out of the way, I do want to share what Charlie meant to me. She was a very special animal, I thought of her as the "matriarch" of my collection as I have a good number of her kids and grandchildren still with me. Four of each actually if I'm counting, and I love them so very much.
When I got Charlie I was still pretty green in the hobby. Yes I'd had snakes for years, my cornsnake and then a couple ball pythons, and even a Sumatran short-tail, my beloved Svid, but these were all very "easy" snakes... I learned with them, but I was not challenged the way that Charlie challenged me. I got Charlie as a full adult, she was my first blood python and I had not even planned to get into bloods until I saw her. I was planning to focus on Sumatran short tails, but Charlie changed things.
Charlie came out of the shipping bag striking and bit me on the finger immediately. Now I'm not sure if anyone remembers this but that video of the two little brothers "Charlie bit my finger" is how Charlie got her name lol.
The first 4 months were... challenging. I could not even touch her directly. I was so afraid I'd made a mistake. Charlie was a 17lb adult blood python, far bigger than my other snakes, and she was TERRIFIED of me. She wanted me to go to hell, and would send me there herself if only she could. We spent a lot of time together, just me sitting near her open enclosure and her glaring at me. Over the months we went from no contact, to minimal contact, until finally I was able to at least clean her without too much trouble. She liked routine, liked to know what was going to happen next. Any deviation from the routine and the trust would be broken, she'd be full of fear again. It was a few years of doing things purely by her strict rules.
Around 2014, something clicked. She began to actually trust that I wasn't going to hurt her and didn't have bad intentions. We seemed to have an actual understanding where if something happened out of the norm, she wouldn't react badly. I could even take her out for pictures and she behaved! Soon I was able to pet her, touch her tail (which I was doing a lot about now since I was trying to figure out why my "male" was not breeding, ha), even pet her head. I was still a bit wary of her, but we were in a good place. As the years went on, our trust grew deeper and I knew she wouldn't bite me, and she knew I was a safe person.
She also showed me how intelligent these snakes could be. She could tell people apart which became obvious if she saw anyone besides me. While I had earned her trust, others had not, so I refrained from taking her out if others were around. While she was a big beautiful animal, I couldn't take her out to show guests. I respected her all the more for it, if I'm honest. She knew what she was about, and I didn't push that.
Over the years she ended up giving me three clutches of beautiful babies, she did such a good job. After her last clutch in 2021, she started showing her age. She was nearing 20 years old, if not over, and had begun getting wrinkled scales and grew a cataract in one eye. I decided to retire her from breeding and let her enjoy her golden years in peace. Pythons can live a very long time, so I expected to have another ~10 years with her.
I'm devastated that her retirement was cut short like this, devastated that I was robbed of more time together. We had both grown and changed a lot over the last 12 years together, and she really was a picture of "to be loved is to be changed." My sweet old lady who knew me, and I knew her. ♥
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"Yellow Ball Python", Marguerite Sheffer, The Man in the Banana Trees
—
Laminated eight-and-a-half-by-eleven posters on every telephone pole in a three-block radius announced that our neighbors had lost their yellow ball python. We stopped to read the signs while the dog tugged and pissed. Black text on a white background—no snake photos, just a sun emoji to lighten the mood. Sunny was LOVED and LOST, also SKITTISH, but FRIENDLY, NOT DANGEROUS, and NONVENOMOUS.
TEXT IF FOUND. DO NOT TRY TO HANDLE.
Soon after, we started the chain of jokes. One of us stepped out for a jog: “Watch out for yellow ball pythons!” Opening a car door. Of course, the ceiling vents. Climbing the ladder to the attic to pull down orange-and-purple Halloween lights. Opening grocery bags, backpacks, loads of laundry. Pointing out nonsensical things on the road to Costco, neither yellow nor slinky enough to be the missing snake.
“I think I see it, there, the yellow ball python.”
“No, that’s just a blue tarp python.”
“Oh, my mistake.”
It got more absurd. Anyplace a python might fit, then anyplace they couldn’t. In the oven; in an email.
“I’ll show you my yellow ball python.”
“Oh yeah?”
Peeking in each other’s ears, like bushy-eyebrowed magic uncles who extract gold coins. In every mundane task, a yellow snake lurked; one rumored to be kind, but still a snake, after all, with fangs.
In a porta-potty before an early a.m. road race, I envisioned the python curled in the basin below me, waiting to unleash its nonvenomous bite. I told you and you laughed and then we ran.
“Stay vigilant.”
You beat my time. I watched you pull farther and farther ahead.
· · ·
We ran out of places it might be hiding. Or our imaginations weren’t up to it. The joke got old, got stale.
“I get it. Can we be serious? Please?”
“You used to be fun.”
The laminated signs came down. I liked to think Sunny made it home; you thought his former family just gave up looking.
I googled couples therapists. We’d settled into our routines so fast—too fast. We’d only been living together for eight months. I felt absurd.
Was this surrender? Or was it surrender not to try?
· · ·
I found him after we hadn’t spoken in a few weeks. You were still paying half the rent—so level-headed, so kind. We were working out a custody agreement for the dog.
It was one of those warm red nights when everything feels like it is thrashing; the kind of atmosphere that must get sailors worried, or delighted—one or the other, I can never recall. I almost missed it. A flash of yellow in my peripheral vision—under a bush in the parking lot of our Chipotle. A buttery coil. It was muscular. It was bracingly alive, trying to hold itself still but flexing just a little; thick, scaly, and gleaming. The python’s spade head was pressed into its curves, to cower or to strike.
It looked back at me. It did not appear to be dying of hunger. Maybe someone was bringing it burrito bowls.
I imagined reaching for it, avoiding the eerie jaws. They were closed now, but I knew they could yawn open, swallow me whole. How do people hold pythons, heavy and strange, without spilling them? Without hurting them, or getting bit? You should have been with me, within arm’s reach, looking over my shoulder. Then I might have been braver. The space where you were not, maybe that’s where all the evening’s electricity was coming from.
I stayed still. The python was rotating its coils in that alien way, not actually moving, just motioning within its territory, repositioning, preparing, all potential energy. It might strike; it might flee; it might stay.
I took a step back. I took a photo to send to you.
We’d agreed to take a cooling off period, but surely this was a reason to break our reasonable, self-imposed rules. I’d won! I’d found it, the real thing. You were the only person on earth who would get it completely, who might celebrate with me.
But on my phone, it looked rubber, so fake that you might think I’d planted it there.
Off the border of the screen, the python was dappled with light in its hiding place. Probably it wanted nothing to do with us, just wanted to eat rodents and roam parking lots and slither, belly low, menacing exposed ankles, shedding dead skin to be always new, freshly stamped. The yellow ball python belonged in the equatorial grasslands, but against all odds, it was thriving in the suburbs, unconcerned and uncontained.
I deleted the photo. I walked away. I didn’t want proof. I didn’t want the game to end; I didn’t want to stop looking for improbable pythons in the piping of our everyday lives, for this wild thing between us. I didn’t want you to stop looking.
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Interview + Resume Guide from a Hiring Manager in Tech
Writing this because I am losing my MINDT at how BAD the entry level candidates I am getting are interviewing. I have done over 100 interviews over the last several years and this is just my experience, which is tailored for tech jobs, but most of these principles would apply to everything, I’d think. There are also some tips in there on how to make a good resume and cover letter + how to follow up on applications (yes you can do that and sometimes it DOES work… got me a job offer once!). Also if you are in the DC / Baltimore metro area, have reliable transportation, and want to break in to IT Systems Administration as a career, hmu lol
Contents:
Basic Do’s and Don’ts
Types of Interviewers
How to Control an Interview (Key Goals of an Interview)
Interview Follow-Ups (How to Write a Thank-You Email!)
Resume / Cover Letter Tips
1 - Basic Do’s and Don'ts
Do:
Be on time! 5-10 mins early is usually best for virtual interviews, 15 mins early for physical
If there are delays or issues, COMMUNICATE that to the recruiter
If virtual, test your audio / video equipment beforehand!
Please dress professionally. Clean, UNWRINKLED clothes. No anime t-shirts!!! I once interviewed a guy in a Sasuke t-shirt on his living room couch from a handheld iPhone. He did not get the job
VISIBLY TAKE NOTES!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!
Have questions for the interviewer!!!
Feel free to reference notes you may have pre-prepared! Make a show of it. It demonstrates you can record information efficiently and can self-structure, it’s NOT cheating, it’s GOOD!
MAKE SURE YOU CAN TALK ABOUT EVERYTHING ON YOUR RESUME IN DETAIL! If it’s there, it’s there for a reason!
Thank the interviewer for their time!
SEND A THANK-YOU EMAIL!!!!!!!!!!!!! Oh my God like NOBODY does this anymore… super easy way to distinguish yourself here, seriously
Make sure you know the key requirements of the job description so you can talk about them and how you fit them!
Might be overkill, but never hurts to look up the interviewer on LinkedIn to understand their background
Research the company you are trying to work for! Don’t need an essay here, just a basic understanding of what they are about
If you have unemployment gaps, make sure you have a good story to explain them that shows you were doing something meaningful with that time
Don’t:
Don’t be late or unkempt! Please bathe…
If virtual, don’t worry about taking an interview while working – If you have to take an interview from a break room or your car, you can always spin that positively – mention how you are taking the interview while on break, and how you are excited for the opportunity and did what you could to accommodate the interviewers. We know sometimes it just be like that
If virtual, don’t have a messy background!!!! [damn bitch you live like this meme]
DO NOT DO NOT DO NOT derail a question! If there’s one thing that is just AWFUL it’s when someone asks you a question you don’t know the answer to, and you derail it to something you DO know… incredibly annoying and you WILL end up rambling
Don’t say you don’t know something and just leave it at that! It’s always okay to not know something – admit it, and say how you will fix that knowledge gap
Don’t wildly guess answers to questions! If you have to guess, say that you are doing so. There are few things as damning as guessing incorrectly with confidence
DO NOT RAMBLE! Keep your responses short and to the point!!! Don’t talk for more than 1 minute, 2 minutes straight at MAX
With that, DON’T LIE ON YOUR RESUME!!!! DO NOT! LIE! ON YOUR RESUME! DON’T! You WILL end up looking a fool. Sure you can embellish a bit, but if you put down that you know Python and all you’ve done is one class project from 3 years ago, YOU DO NOT KNOW PYTHON!
Okay admittedly an addendum to that – if you ARE going to lie on your resume, don’t go in empty-handed!!! Make sure you are prepared to bullshit!!!!!!!! Seriously there have been soooo many times I’ve asked people about impressive, top-billed resume items and the answer is ‘uhhh yea I did that like once 5 years ago’ or ‘I once shadowed a guy who did this’
If you are going to lie about a key item on your resume, you better be prepared to put in the legwork ON YOUR OWN to get up to speed on it ASAP if you are hired. Do Not Fuck Up That Part. Otherwise you are just setting yourself up for stressful, miserable failure
2 - Types of Interviewers
Different people have different approaches. Some interviewers just want to see what vibes you give off, others have highly-structured interviews. Also in all honesty, a lot of interviewers might not know how to run an interview in a way that gets them the key info they need. It’s an art form. Once you understand the level of structure the interviewer is approaching the interview with, you can adapt.
You need to assess what kind of interviewer you have, and be prepared to control the interview in a way that works best with them. Have a few pre-prepared personal stories about your hobbies, working accomplishments, challenges you’ve overcome, etc. that you can easily launch in to while you’re figuring out what the interviewer is like.
3 - How to Control an Interview (Key Goals of an Interview)
Key Goals of an Interview:
Give off good vibes
Demonstrate how you fit the key requirements of the job description
Differentiate yourself from others
Do this all in a very limited amount of time
For 1, good vibes: you want to be attentive, bright-eyed and bushy-tailed. Ultimately a hiring manager will be looking for one HUGE thing – will you be EASY to manage? As in, do you have the skills, and the wisdom to use them, or learn them? This is why visibly taking notes is really great – shows initiative and organization. You don’t necessarily need to be a social butterfly either, but you have to at least attempt a friendly demeanor. If you are super nervous, it’s also okay to admit that! You can always spin it to say that it’s because you are just super excited about this opportunity, and want to make sure you have a good conversation that demonstrates the value you’ll bring to the role.
For 2, fitting the job: this is where knowing the job description and a background on the company helps. There are soooo many people I’ve interviewed who had essentially no plan for the interview – they are just rawdogging that call. You need to be able to toot your own horn – make sure you have talking points for the top-billed parts of the job description, and that you know what your best features are and how to explain them.
For 3, differentiating yourself: this is like your Jeopardy post-commercial quirky story. You don’t need much, just maybe one or two things that make you unique. If you look up the interviewer’s LinkedIn beforehand, you can perhaps even specifically appeal to them. Standing out is a huge challenge, because the interviewers usually have onslaughts of applicants.
For 4, time control – this is where everyone fucks up lol. You usually have 30 minutes or an hour to plead your case, and that time will FLY BY. This is where understanding your interviewer is critical.
If your interviewer is UNSTRUCTURED: you will need to take a lot more control of the interview. Your interviewer might get sidetracked talking about personal stories or one specific job topic, and will miss hearing out about how you fit others. You will need to segue to other key points in the job description – you can also be totally honest, if you are going down one rabbit hole and missing another, you can straight up ask the interviewer if you can change subjects, because you want to make sure you talk about everything in the job description in your limited time. If you are polite about this, it’s fine! The interviewer will most likely appreciate your focus and direction. Make sure you also leave time at the end to ask the interviewer questions.
If your interviewer is STRUCTURED: this is a bit easier. Follow the structure, but keep an eye on the clock – if you are nearing the final quarter of the interview and haven’t hit your key points that demonstrate why you fit the job description, it is also perfectly acceptable to ask the interviewer if you can speak about a few key things you feel are relevant to the job. Just say you want to respect their time, and would like to make sure you communicate what you can bring to the table. Don’t worry about being humble lol this is your time to shine.
4 - Interview Follow-Ups and Thank-You Emails
SEND THANK YOU EMAILS!!! SEND THANK YOU EMAILS!!!!!! SEND THANK YOU EMAILS!!!! This is not a bootlicking thing this is a cool and sexy lifehack because seriously, no one does this anymore. You WILL stand out if you do so. Writing a thank-you email is exceptionally easy too. I always follow the motto “Too Short To Suck” – keep it very simple:
Subject Line: Include A Thank You and The Name of the Role
Hello [Interviewer(s)],
Thank them for their time and talking with you about the job. Include ONE sentence (okay, maybe two short ones) about why you are excited for this opportunity, because of XYZ thing you have that adds value to the role. Final sentence re-iterating your excitement for the role, and that you look forward to hearing back soon.
Signature
Example:
Subject: Thanks for Talking About The Tech Analyst Role at Company Inc.!
Hello Interviewer(s),
Thank you for taking the time to speak with me today about the Tech Analyst Role with Company Inc! It was a pleasure talking, and after learning more about the job, I am quite excited for this opportunity, as I know my organizational skills and experience with Microsoft Azure will provide a good framework for me to grow and contribute to Company Inc’s success. I am looking forward to hearing back soon, and thanks in advance for your time and consideration.
Thank you,
Tumblr User Randam Hajile
FOR FOLLOW UPS: if a week goes by without hearing back, feel free to email the recruiters / interviewers again and politely ask for an update on your application. If they don’t respond after that, unless it’s a job you REALLY REALLY REALLY want and think you are a shoe-in for, it may not be worth it to bother them again. Give it another week or two and then send a second email for an update.
If several months+ have passed and it’s still a place you really would like to work for, you can also email those contacts again asking if any new roles have opened. You have to understand that these recruiters are going through massive piles of same-looking profiles in SmartRecruiters or something like that, so having anything to differentiate is helpful.
ALSO – HOT APPLICATION TIP !!!!!!! if you send out an application and hear NOTHING back, but it’s a place you really want to work for, here’s an awesome tip that actually legit led to me getting a job offer recently: crawl the company website to find a PR or HR email address, and send a polite email mentioning you applied for [specific role], and that you would like to know if they are still hiring for it or any similar roles, as you have not heard back and are still highly interested in working for the company. Chances are they can get in touch with Recruiting to forward your inquiry.
5 - Resume / Cover Letter Tips
RESUMES: For the love of God, put some effort in to your resume. Do NOT use the default resume that Indeed or LinkedIn pisses out for you… I hate that so much. Maybe that’s just a me-thing, but I honestly think those don’t present your information very well.
The secret to writing resumes is that there really isn’t a secret – there’s no MLA format or one-size-fits-all template that works. You need to put some thought in to it to understand what you are trying to communicate, and here are some tips to do so:
Save it as a PDF!!!! This way you can be 100% sure it formats correctly when opened by the recruiter / interviewer
Format it correctly!!! Make sure there are no sloppy mistakes
I can’t believe I have to say this, but please, please have a professional-looking email address. [email protected] won’t get you hired
Add some class with a nice template. Find something a little snappy looking – anything other than a wall of barebones Calibri font
If you are artistically inclined, have some fun with it. My resume and cover letter are obnoxiously 1970s themed as a statement piece about myself, plus it stands out in an ocean of samey-looking resumes lol. Where’s that Jack Sparrow meme where he’s like ‘but you HAVE heard of me’ – that’s my principle, people will either love it or hate it, but they WILL remember it
Include your LinkedIn URL at the top of the page with your basic contact info! Also, have a nice LinkedIn page!!!!!!!!!!!!!!!!
Don’t put your home address on it. You can just say like “DC Metro Area” or something like that
Unless you have impressive references, or are working in an industry like Security where you know you’re going to get background-checked, just say ‘references available upon request’ at the bottom, and have those at the ready just in case
It doesn’t have to be one page! It can be up to two – if printing it physically, you can have a nice two-sided cardstock resume, but make sure the most key things are on the first page
If a cover letter isn’t requested, you can use that second resume page to include more detailed info that a cover letter would have
Use nice paper to print the resume – sturdy cardstock, and have multiple copies available to give
Remember you are trying to communicate what you can do, so get creative with presenting that efficiently – as an example, when I was a Sys Admin, I broke up my resume Skills section in to a 2x2 table that lists “Knowledgeable in the Use Of” and “Advanced Knowledge Of”, that way I could include skills I had without lying about my proficiency and bungling questions about them
Unless you are fresh out of college, don’t list coursework in college or high school clubs on your resume. You’re 30 years old. It’s embarrassing to list your Computer Club experience from High School. That could be a fun talking point, not something that takes up precious resume space
Include a mission statement at the top underneath your contact info – something simple like “Results-Oriented Technician Seeking New Challenges”; just something to summarize your best vibes
If you really, really, really want a job at a certain place, you can try tweaking some phrasing in your Skills or Experience sections to match keywords in the job description – that way AI will be more likely to highlight your resume for the recruiter, if they are using AI tooling (ugh)
COVER LETTERS: honestly there are better guides out there than I can give here, but basically you can create a generic cover letter where you only need to change out a few sentences to cater to the employer you are applying to. Keep it one page, and try to include keywords / terms from the job description in it – a lot of these recruiters use AI to sort through resumes / cover letters and want to find ones that match the job description. Similarly to a lot of the prior advice, you need to make sure you hit your key points about your best traits, relevant experience, and work ethic, and why you are excited to work for whoever you are applying to, and how these traits relate to that.
I’m honestly not sure how many recruiters even read cover letters these days and how many of them just use them as AI fodder to help sort candidates… the positions I typically hire for don’t require cover letters so my experience here is a bit limited, but as mentioned, there’s lots of guides online on how to create a good cover letter, so do some Googling. They worked for me, at least.
Anyway… hope that helps!!!!!!!!!!!!!!! Go forth and get hired…
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Companies I've Applied To
I figured that as I embark on my quest to Get Hired, I should probably document the process for both myself and for others who are trying to get their foot in the door for industry work.
For context (and for those of you who don't know), I have a Bachelor's of Fine Art in Emerging Media: Character Animation and an Master's of Fine Art in Animation and VFX. I graduated in spring of 2022 after completing a fully independent short film, and have been working as a "visiting lecturer" at my University ever since.
My Employment History
When you're looking to get hired, your past work experience matters... a lot. Because of how intense my Undergrad/Graduate programs were, I didn't have a lot of time to cultivate my portfolio or bolster my resume. Getting hired by the University right out of college was a huge relief, but it doesn't tick that pesky "2+ years of Industry Experience" or "At least 1 AAA Game Shipped" prerequisite on most job postings.
With that in mind, I'm doing my best to push for the "or equivalent experience" caveat.
What I Do:
I've mentioned this a few times on this blog, but my professional focus is in 3D character modeling, rigging, groom, and sim. In the art field, this is usually considered a technical job, and from what I understand the market for tech is usually a little less competitive than the market for modeling/animation.
So, with all that out of the way, let's get to it!
DreamWorks:
I sent in my application for Character Tech Anim about three days after the posting opened. They had their own hiring website through nbcUniversal. I'd gone through the process before with internships, so it was pretty painless! It's a remote position, which is huge, and the salary would be competitive with the one I have now as long as I can stay remote.
Biggest con in my application is that I'm still missing Python proficiency. I'm learning it right now, but god damn is it an in-demand skill!
It's a job I'd love to get, and I think my skills in rigging/groom/sim line up well.
Process Pros:
Easy to apply.
Clear (and reasonable!) qualifications listed for the job level.
Honest about expectations regarding overtime and hours.
Allowed PDF uploads of CV & Resume.
Sent a confirmation email after the application had been received.
Had a section for "Additional Comments", which was a great place for me to throw in that I'm learning some of the skills they want.
Process Cons:
Likely will not receive a rejection notice in the event they decide not to hire. This isn't a huge con; the studio is massive and sending out rejection notices would be a time sink for them.
Advertised working weekends and overtime in the listing... definitely something I'll ask about if I move forward in the process. Work/life balance is important!
Had to enter my resume information and upload my resume. :(
Result: Too Soon to Tell
Gearbox:
I sent in my application for Technical Animator (Character Rigger) about two weeks after the listing was posted. They had their own hiring website. This is a hybrid position, which wouldn't be ideal, but a friend of a friend works remotely for them, so maybe it's negotiable?
Biggest con in my application is, yet again, that I'm still missing Python proficiency and tool dev experience. Learning it now!
I was missing a lot of the credentials on this one, so it's more of a hail-Mary application.
Process Pros:
Easy to apply.
Clear (and reasonable!) qualifications listed for the job level.
Allowed PDF uploads of CV & Resume.
Sent a confirmation email after the application had been received. Seems to promise a prompt response, which means I can likely expect a notice of rejection if they choose not to hire.
Company culture seems extremely reasonable and employee health is a priority.
Process Cons:
May have to relocate if hired.
Result: Too Soon to Tell
Aquent:
Honestly... no idea what was happening here. It was for a character rigging position, but it seems like it might've been for a broader hiring agency?
Process Pros:
Allowed PDF upload of CV and Resume.
Process Cons:
Had to apply for the job and make a separate account on their website to set up the application.
Confusing website.
Had to upload resume and then type up the resume again.
No place for a CV for the specific role.
Honestly, I'm not sure what company this went to.
Result: Too Soon to Tell
Steamroller:
Local studio that I've seen a lot of people go into! Applied for a rigging position in their animation department. Hybrid and remote are both an option for me!
Process Pros:
Allowed PDF upload of CV and Resume.
Easy to apply!
Received a confirmation email.
Credentials were clear and well listed; I matched most of the requirements.
Competitive salary! :)
Flexible work methods.
Allowed me to link to my website AND upload a static portfolio, which I love.
Process Cons:
Likely will not receive a rejection notice should they choose not to hire.
Result: Rejected (03/21/2023)
BonusXP:
Can't speak about the process much on this one! They have a rolling, general application process which means I just send in an email and if a job comes up, they'll let me know. Feels straightforward and simple. :)
Result: Too Soon to Tell
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When she had first made his acquaintance in real life , she was forced to swallow a storm cloud of anxiety and disillusionment - there, after existing only to her for the longest part if her life, well, all of it…all if a susden he was arranged in beautiful shards of himself strewn across her living room couch.
“I told you I’d come get you.” He had said, after that night and the secret not-secret overstimulation play and wild (hard) fucking, his hand tenderly wrapping in a python-like grasp of her torso.
She looked away, then met his gaze and smiled: “i wish it wasnt like this. Ueurrgh, why does it have to be this way? “ she drags the joint, hard.
I want you, he interrupts, taking the lit cigarette from her hand with creepishly long, delicate fingers. Draco was someone she knew from a book. He was no certain chap to know- he wasnt easy to track down. Luckily, because she was a world-famous hacker with budding career deposit gials given in every abd any direction, also hacking beyond systems in iOS - he spent his time in the late 2000s stalking her blogs and sending her torturously short emails, indicating his luring interest and sturdy, unmistakable devotion, how…. He was a character in a magic book, rather a snide extra if you will, but hence, she was still receiving his emails every so often, promises and all.
But they were torn apart by space and time, forces only god could hope to control.
Ten years later
She wraps her tendrils of deep, dark green in a top bun, and then tears apart her appearancenin the mirror. Wearing only a scant pair of black shorts, and a light sleeveless hoodie, she dodges her eyes at her reflection.
He watches her with surprised affection. She hasnt been this cheerful in a long time. He wants her to stay here, to realize that her life isnt as complicated as it seems. He can only appear to her in magic forms because she isnt as safe as they’d like. He us her protector of magic, and nothing is as it seems to them. They are living separately, in hiding, to promote the protective spells cast upon her. God says its the only way.
She glances at his features as they hover in the glass mirror. She looks, well, beautiful.
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i’m working on it i promise loveletter should be released by 2025
(what is loveletter? info under the cut)
Loveletter is currently a beta program made by a self taught programmer using Python and it’s related libraries. It aims to eventually mirror the functionality of programs like Word, Docs, and even the sticky note function on your computer, while holding a primarily love-core theme (more themes to be released after initial release!)
At current standing, Loveletter will be released for free, with the possibility that it will be able to download for a one-time fee. This one time fee is simply because I cannot afford to exist, as well the website to actually host the download for loveletter will unfortunately require out-of-pocket costs. However, once you own loveletter, you own it. If you grabbed it while it was free? You still own it! (Including all future updates as well!)
(p.s. if you share the software file, how am I gonna know?)
Loveletter will NEVER introduce AI, subscriptions, or micro-transactions. It is being developed by a crust punk who is irritated with the current state of the tech world!
What will the one-time fee be?
That is unfortunately going to depend on costs of upkeep, but the good news is hosting a domain is not that expensive (typically). But, I’m poor guys. I understand! I aim to have Loveletter under 10USD at maximum, I like to highball and be pleasantly surprised later!
I looked up Loveletter and found the famous bug, is Loveletter malicious?
Loveletter has nothing to do with the LoveBug bug, a famous computer virus that infected PCs by sending an email masquerading as a loveletter from your friend. This software is called Loveletter because my middle name is Cupid, I love love, and I think it’s cute!
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```markdown
SEO Automation with Python
In today's digital landscape, Search Engine Optimization (SEO) is more critical than ever for businesses looking to boost their online presence and drive traffic to their websites. However, managing SEO manually can be a tedious and time-consuming task. This is where Python comes in, offering a powerful toolset for automating various SEO tasks. In this article, we will explore how Python can be used to streamline your SEO efforts, making the process more efficient and effective.
Why Use Python for SEO?
Python is a versatile programming language that is widely used in data analysis, web scraping, and automation. Its simplicity and extensive libraries make it an ideal choice for SEO tasks. Here are some key reasons why Python is so popular for SEO:
1. Data Scraping: Python has powerful libraries like BeautifulSoup and Scrapy that allow you to extract data from websites easily. This is crucial for gathering information about competitors, tracking keyword rankings, and analyzing backlinks.
2. Automation: With Python, you can automate repetitive tasks such as sending emails, updating spreadsheets, and generating reports. This saves you a significant amount of time and reduces the risk of human error.
3. Analytics: Python’s data analysis libraries, such as Pandas and NumPy, enable you to analyze large datasets efficiently. You can use these tools to gain insights into your website’s performance and make data-driven decisions.
Practical Examples of SEO Automation with Python
1. Keyword Research
Keyword research is a fundamental aspect of SEO. Using Python, you can automate the process of finding relevant keywords by scraping search engines or using APIs provided by tools like Google Trends or SEMrush. Here’s a simple example of how you might do this:
```python
import requests
from bs4 import BeautifulSoup
def get_keywords(query):
url = f"https://www.google.com/search?q={query}"
response = requests.get(url)
soup = BeautifulSoup(response.text, 'html.parser')
keywords = [link.get('href') for link in soup.find_all('a')]
return keywords
keywords = get_keywords("best SEO tools")
print(keywords)
```
2. Backlink Analysis
Backlinks are another crucial factor in SEO. Python can help you analyze your backlinks and those of your competitors. Libraries like Ahrefs API or Moz API can be used to gather this data:
```python
import requests
def get_backlinks(domain):
api_key = "your_api_key"
url = f"https://api.semrush.com/backlinkanalytics/v1/report?database=organic&domain={domain}&type=backlinks&key={api_key}"
response = requests.get(url)
data = response.json()
return data['items']
backlinks = get_backlinks("example.com")
print(backlinks)
```
3. Site Audit
Regular site audits are essential for maintaining good SEO health. Python can help you automate this process by checking for broken links, duplicate content, and other issues:
```python
import requests
def audit_site(url):
response = requests.get(url)
if response.status_code != 200:
print(f"Error: {response.status_code}")
else:
print("Site is healthy")
audit_site("https://www.example.com")
```
Conclusion
Python offers a robust framework for automating various SEO tasks, making the process more efficient and scalable. By leveraging Python’s powerful libraries, you can save time, reduce errors, and gain valuable insights into your website’s performance. Whether you’re a seasoned SEO professional or just starting, Python can be a game-changer in your SEO strategy.
What are some specific SEO tasks you would like to automate with Python? Share your thoughts and experiences in the comments below!
```
加飞机@yuantou2048
Google外链代发
ETPU Machine
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How to Apply for Research Internships in Bioinformatics: A Step-by-Step Guide
Are you passionate about bioinformatics and looking to gain hands-on research experience? Securing a research internship in bioinformatics can open doors to exciting career opportunities in genomics, drug discovery, and computational biology.
In this guide, you’ll learn where to find internships, how to apply, and essential skills you need to stand out.
Why Are Research Internships in Bioinformatics Important?
✅ Gain Practical Experience
Internships allow you to apply programming, data analysis, and biological knowledge to real-world problems.
✅ Build a Strong Network
Working with researchers and industry professionals helps you connect with potential mentors and future employers.
✅ Strengthen Your Resume for Future Opportunities
Whether you’re planning to pursue a PhD, industry job, or data science role, research internships demonstrate hands-on expertise in bioinformatics.
Where to Find Bioinformatics Research Internships
🔹 University Research Labs — Top institutions like MIT, Harvard, Stanford, and UC Berkeley offer research positions. Visit university websites and faculty pages to find open positions.
🔹 Government & International Research Institutes — Apply for programs at NIH (National Institutes of Health), EMBL (European Molecular Biology Laboratory), NCBI, and Wellcome Sanger Institute.
🔹 Biotech & Pharmaceutical Companies — Many industry leaders like Pfizer, Novartis, Genentech, Illumina, and Roche hire interns for computational biology projects.
🔹 Online Internship Portals — Browse platforms like LinkedIn, Internshala, ResearchGate, and Indeed to find remote and on-site bioinformatics internships.
Step-by-Step Guide to Applying for Bioinformatics Internships
1️⃣ Identify Suitable Internship Programs
Start by searching for open positions at universities, research institutions, and biotech companies. Look at eligibility criteria and deadlines.
2️⃣ Prepare a Strong Resume
📌 Highlight your programming skills (Python, R, Bash), experience with bioinformatics tools (BLAST, Bioconductor, NCBI databases), and coursework.
📌 Showcase research projects or hackathons you’ve participated in.
📌 Use action verbs like “developed,” “analyzed,” and “optimized” to describe your experience.
3️⃣ Write an Impressive Cover Letter
Your cover letter should: ✔ Explain why you’re interested in bioinformatics and the specific internship. ✔ Highlight relevant skills and experience. ✔ Demonstrate enthusiasm for the research topic and professor’s work.
4️⃣ Reach Out to Professors & Researchers
📧 How to Email a Professor for a Research Internship:
Personalize Your Email — Mention their research and why you’re interested.
Attach Your Resume & Cover Letter — Keep your email concise.
Follow Up — If you don’t receive a response within a week, send a polite follow-up email.
5️⃣ Prepare for the Interview
Common bioinformatics internship interview questions include:
Technical Questions: Explain a project where you applied bioinformatics tools.
Programming Challenges: Solve a simple problem using Python or R.
General Questions: Why are you interested in this internship? What are your career goals?
Top Bioinformatics Internship Programs to Apply For
🏆 NIH Summer Internship Program — Hands-on experience in computational biology at NIH.
🏆 EMBL Bioinformatics Internship — Work with top European researchers in genomics and data science.
🏆 Harvard Biomedical Informatics Internship — Conduct research in cutting-edge computational biology.
🏆 Google Research Internship (AI in Biology) — Use machine learning to analyze biological data.
🏆 Illumina & Genentech Internships — Industry-focused bioinformatics roles in genomics and drug discovery.
Essential Skills for Bioinformatics Internships
✅ Programming Skills — Python, R, Bash ✅ Bioinformatics Tools — BLAST, Bioconductor, FASTA, NCBI databases ✅ Data Science & Machine Learning — Basics of data visualization, statistics, and AI in genomics ✅ Biological Knowledge — Understanding of genetics, transcriptomics, and proteomics
Final Tips for Securing a Bioinformatics Internship
🚀 Start Early! Many internships have deadlines 6–12 months in advance.
📚 Take Online Courses — Strengthen your bioinformatics skills with free courses on Coursera, edX, and Khan Academy.
💡 Network with Experts — Connect with bioinformatics researchers on LinkedIn and Twitter.
✉ Be Persistent! If you don’t get a response, apply to multiple programs and follow up professionally.
Conclusion
Landing a bioinformatics research internship requires a strategic approach — identifying opportunities, crafting a strong application, and networking with professionals. With the right preparation, you can secure an internship that enhances your skills and career prospects!
💬 Have you applied for a bioinformatics internship? Share your experience in the comments!
#bioinformatics#machinelearning#biotechnology#datascience#biotech#biopractify#biotechcareers#aiinbiotech#genomics#bioinformaticstools#research#students#internships#jobs
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write for us + software
Are you passionate about write for us + software, software development, programming, or technology? Do you have valuable insights, tutorials, or industry knowledge to share? If so, we invite you to contribute to our platform and become a guest writer!
Why Write for Us?
By contributing to our website, you will: ✅ Gain exposure to a broad tech audience. ✅ Boost your credibility as a software expert. ✅ Earn valuable backlinks to your website or portfolio. ✅ Help developers & tech enthusiasts by sharing your expertise.
Topics We Accept
We welcome high-quality, well-researched, and original articles on:
1. Software Development & Engineering
Best practices in software development.
Coding tips, tricks, and hacks.
Agile, Scrum, and software project management.
2. Programming Languages & Frameworks
Python, Java, JavaScript, C++, and more.
Web development (React, Angular, Vue).
Backend technologies (Node.js, Django, Laravel).
3. Software Testing & QA
Automated testing tools and techniques.
Manual vs. automated testing strategies.
4. AI, Machine Learning & Data Science
AI applications in software.
Data science trends and insights.
5. Cybersecurity & Software Security
Best practices for secure coding.
Protecting software from cyber threats.
6. Software Tools & SaaS Applications
Reviews of software tools and platforms.
Comparisons of SaaS solutions.
7. Cloud Computing & DevOps
AWS, Google Cloud, and Microsoft Azure.
CI/CD, containerization (Docker, Kubernetes).
Submission Guidelines
To ensure quality, please follow these rules: ✅ Original Content – No plagiarism, AI-generated, or republished content. ✅ Word Count – Minimum 1,500 words per article. ✅ Well-Structured – Use proper headings (H1, H2, H3). ✅ SEO Optimized – Include relevant keywords naturally. ✅ Engaging & Informative – Provide real value to readers. ✅ Relevant Images – Add screenshots, infographics, or code snippets.
How to Submit Your Article?
1️⃣ Email us at [Your Email] with the subject “Guest Post Submission – Software”. 2️⃣ Attach your article in Google Doc or Word format. 3️⃣ Include a short author bio (50-100 words) with your website or social links.
What Happens Next?
✔️ Our editorial team reviews submissions within 7 business days. ✔️ If approved, your article will be published with full credit. ✔️ You’ll receive a confirmation email with the live article link.
Join Our Tech Community!
Don’t miss this opportunity to showcase your expertise and contribute to the software development world.
📧 Ready to submit? Send your article to [[email protected]] today!
We look forward to featuring your insights on our platform! 🚀
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Show how to extend ADF capabilities with serverless Azure Functions.
Extending Azure Data Factory (ADF) Capabilities with Serverless Azure Functions
Azure Data Factory (ADF) is a powerful data integration service, but sometimes you need additional logic beyond its built-in activities. This is where serverless Azure Functions come in.
By integrating Azure Functions with ADF, you can extend its capabilities to handle complex transformations, custom data processing, and external system interactions.
1. Why Use Azure Functions with ADF?
ADF provides built-in activities for data movement and transformation, but some scenarios require custom processing, such as: ✅ Custom Data Transformations — Processing JSON, XML, or proprietary data formats. ✅ Calling External APIs — Fetching data from web services or third-party APIs. ✅ Triggering External Workflows — Sending notifications or integrating with other Azure services. ✅ Performing Complex Validations — Running business logic before inserting data into a database.
2. Setting Up an Azure Function for ADF
Step 1: Create an Azure Function
1️⃣ Navigate to the Azure Portal → Create a Function App. 2️⃣ Choose Runtime Stack (e.g., Python, C#, Java, Node.js). 3️⃣ Deploy the function using Azure CLI, Visual Studio Code, or GitHub Actions.
Step 2: Write a Sample Azure Function
Here’s an example of an HTTP-triggered Azure Function in Python that transforms JSON data before loading it into a database.import json import azure.functions as funcdef main(req: func.HttpRequest) -> func.HttpResponse: data = req.get_json() # Example: Convert all values to uppercase transformed_data = {key: value.upper() for key, value in data.items()} return func.HttpResponse(json.dumps(transformed_data), mimetype="application/json")
Step 3: Deploy and Obtain the Function URL
Once deployed, copy the Function URL for integration with ADF.
3. Integrating Azure Function with ADF
Step 4: Create an ADF Pipeline
1️⃣ Go to Azure Data Factory → Create a new Pipeline. 2️⃣ Add a Web Activity to call the Azure Function. 3️⃣ Configure the Web Activity:
Method: POST
URL: Paste the Function App URL
Headers: { "Content-Type": "application/json" }
Body: JSON payload required by the function
Step 5: Process the Function Response
Use Data Flow or Copy Activity to store transformed data in Azure Blob Storage, SQL Database, or another destination.
4. Example Use Cases
✅ Dynamic Filename Generation — Generate filenames dynamically before loading files into Azure Blob. ✅ Data Validation Rules — Validate input records before processing in ADF. ✅ Calling Third-Party APIs — Fetch real-time stock prices, weather data, or other external information. ✅ Triggering Notifications���— Send alerts via email or Microsoft Teams after data processing.
5. Monitoring and Scaling
Use Application Insights for logging and monitoring function execution.
Scale automatically with consumption-based pricing, reducing infrastructure costs.
Conclusion
By integrating Azure Functions with ADF, you can enhance its capabilities, automate workflows, and handle complex data transformations efficiently.
WEBSITE: https://www.ficusoft.in/azure-data-factory-training-in-chennai/
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How to Monitor and Debug Python-Based ETL Pipelines
In the world of data engineering, Extract, Transform, Load (ETL) Python workflows are the backbone of moving, cleaning, and transforming data into actionable insights. However, even the most well-designed ETL pipelines can run into issues like slow performance, data mismatches, or outright failures. To ensure smooth operation, monitoring and debugging Python-based ETL pipelines is critical. This article will guide you through practical strategies and tools to monitor and debug ETL workflows effectively.
Why Monitor Python-Based ETL Pipelines?
Monitoring is essential to maintain the reliability of ETL pipelines. It helps identify bottlenecks, spot anomalies, and ensure data integrity. Without robust monitoring, errors may go unnoticed until they cause significant downstream issues, such as corrupted reports or unresponsive applications.
Common Challenges in Python ETL Pipelines
Before diving into solutions, let’s explore common issues faced when running ETL pipelines:
Data Extraction Failures: API timeouts, file unavailability, or incorrect data formats can disrupt the extraction process.
Transformation Errors: Logical flaws in data transformation scripts can lead to inaccurate results.
Load Failures: Issues like database connectivity problems or schema mismatches can hinder the loading process.
Performance Bottlenecks: Handling large datasets may slow down pipelines if not optimized.
Missing Data Validation: Without proper checks, pipelines may process incomplete or corrupt data.
Effective Monitoring Strategies for ETL Pipelines
1. Use Logging for Transparency
Logging is the cornerstone of monitoring ETL pipelines. Python’s logging library allows you to capture details about pipeline execution, including errors, processing times, and data anomalies. Implement structured logging to make logs machine-readable, which simplifies debugging.
2. Monitor Pipeline Metrics
Track metrics like execution time, row counts, and resource utilization to spot inefficiencies. Tools like Prometheus and Grafana can visualize these metrics, providing actionable insights.
3. Set Up Alerts for Failures
Use tools like Apache Airflow, Dagster, or custom scripts to trigger alerts when a pipeline fails. Alerts can be sent via email, Slack, or SMS to ensure prompt action.
Debugging Techniques for Python-Based ETL Pipelines
1. Identify the Faulty Stage
Divide your pipeline into stages (Extract, Transform, Load) and isolate the problematic one. For instance:
If the error occurs during extraction, check the data source connectivity.
If transformation fails, debug the logic in your Python code.
For loading errors, examine database logs for schema mismatches or connectivity issues.
2. Utilize Python Debugging Tools
Python’s built-in debugger, pdb, is invaluable for inspecting code at runtime. You can set breakpoints to pause execution and examine variable values.
3. Test with Mock Data
Create unit tests using frameworks like pytest to simulate different pipeline scenarios. Mock external dependencies (e.g., databases, APIs) to test your logic in isolation.
4. Validate Data at Every Step
Incorporate data validation checks to ensure input, intermediate, and output data meet expectations. Libraries like pandas and great_expectations simplify this process.
Tools for Monitoring and Debugging ETL Pipelines
Apache Airflow: Schedule, monitor, and manage workflows with built-in task-level logging and alerting.
Dagster: Provides observability with real-time logs and metadata tracking.
DataDog: Monitors application performance and sends alerts for anomalies.
ELK Stack: Use Elasticsearch, Logstash, and Kibana to collect and analyze logs.
Best Practices for Reliable ETL Pipelines
Implement Retry Mechanisms: Use libraries like tenacity to retry failed tasks automatically.
Version Control Your Code: Use Git to track changes and quickly revert to a stable version if needed.
Optimize Resource Usage: Profile your code with tools like cProfile and use parallel processing libraries (e.g., Dask, multiprocessing) for efficiency.
Document Your Pipeline: Clear documentation helps identify potential issues faster.
Conclusion
Monitoring and debugging Python-based ETL pipelines require a mix of proactive tracking and reactive problem-solving. Leveraging tools like logging frameworks, Airflow, and testing libraries, you can ensure your Extract, Transform, Load Python workflows are robust and reliable. By implementing the strategies discussed in this article, you’ll minimize downtime, improve performance, and maintain data integrity throughout your pipelines.
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How to Set Up LinkedIn: A Step-by-Step Guide
In the present digital environment, LinkedIn has become a vital tool for professionals to connect with one another, share knowledge, and further their careers. Whether one is a young graduate, seasoned professional, or entrepreneur, everyone absolutely needs a LinkedIn presence. If you have been wondering how to set up LinkedIn profile, you have come to the right place. Let’s go through the phases to create a profile that’s really amazing.
9 Contanious Steps That Explain How To Set Up LinkedIn Profile
1. Create Your LinkedIn Account
The very first thing you need in order to get started with LinkedIn is to create an account. Here’s few steps in the following you need to start with:
Open LinkedIn: Visit www.linkedin.com
To sign up: After selecting the “Join now” button, just provide your basic information, name, email address, and a strong password.
Check Your Email: LinkedIn will send you a verification email with the aim of confirming your identity. Once your profile has been confirmed, you will be ready to start using it.
2. Complete Your Basic Profile Information
After signing up, the next step is filling out your profile basics:
Upload a professional photo: Profiles with photos receive up to 21 times more views.
Add a compelling headline: Your headline should highlight your role, expertise, or career goals. For instance, “Digital Marketing Specialist | Helping Businesses Grow Online” works better than just “Marketing Specialist.”
Fill in your location and industry: This helps recruiters and connections find you easily.
3. Write a Powerful About Section
The “About” section is your elevator pitch. Use this space to tell your story, showcase your skills, and highlight your career aspirations. Make it engaging yet professional. Include keywords relevant to your industry, but avoid overloading with jargon.
4. Add Your Experience and Education
When figuring out how to set up LinkedIn, adding your professional history is crucial. Be sure to:
List all relevant jobs: Include roles, companies, and achievements.
Use bullet points: Clearly highlight responsibilities and accomplishments. For example:
Increased website traffic by 35% through targeted SEO strategies.
Managed a $50,000 annual ad budget with 20% ROI improvement.
Include your education: Mention degrees, certifications, and relevant training programs.
5. Highlight Your Skills and Endorsements
LinkedIn allows you to add skills to your profile, a vital feature when learning how to set up LinkedIn for maximum visibility. To make the most of this:
Add top skills: Focus on those relevant to your field. For instance, if you’re in IT, include “Java,” “Python,” or “Cloud Computing.”
Get endorsements: Connect with colleagues and ask them to endorse your skills.
6. Build Your Network
Once your profile is set up, start growing your network.
Connect with colleagues, classmates, and mentors: Personalise connection requests to make a lasting impression.
Join LinkedIn groups: Participate in industry-specific groups to interact with like-minded professionals.
Engage with posts: Commenting, liking, and sharing content builds your presence.
7. Customize Your LinkedIn URL
To make your profile more professional and shareable, customise your LinkedIn URL. Here’s how:
Go to your profile.
Click on “Edit public profile & URL” in the top right corner.
Update the URL to something simple like “linkedin.com/in/YourName.”
8. Post Regularly
When the question is how to set up LinkedIn, a LinkedIn profile isn’t just about setup, it’s about staying active. Share updates, write posts, or publish articles on topics you’re passionate about. Consistent activity keeps your profile relevant and visible.
9. Optimize for Job Searches
If you’re using LinkedIn for job hunting, optimise your profile:
Turn on Open to Work: Let recruiters know you’re available.
Use keywords: Ensure your profile includes terms recruiters might search for, like “content writer” or “software engineer.”
Ask for recommendations: A recommendation from a previous employer adds credibility.
The End Note
Learning how to set up LinkedIn is your first step to leveraging the platform’s vast potential. A well-crafted profile can unlock new opportunities, foster professional connections, and foster career growth. So, invest time in building your profile, engage actively, and watch your LinkedIn presence soar.
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Free computer classes near me | best computer institute in kanpur | top 5 computer institute near me
Unlocking the Digital World: A Comprehensive Guide to Free Computer Classes and the Best Institutes Near You The digital age demands proficiency in computer skills for success in virtually every field. Whether you’re a student looking to excel in academics, a professional aiming to enhance career prospects, or an entrepreneur keen on leveraging technology for business growth, computer literacy has become indispensable. In this article, we explore how to find free computer classes near me, identify the best computer institute in Kanpur, and spotlight the top 5 computer institutes near me to help you start your journey into the world of technology.
The Importance of Computer Literacy in the Modern Era The rapid advancement of technology has revolutionized how we work, communicate, and live. Being computer-literate can lead to countless benefits, including: Better Career Opportunities Companies across industries expect employees to have at least basic computer skills, such as proficiency in Microsoft Office, email communication, and web research. For specialized roles, expertise in tools like Python, Excel, or graphic design software can give you a competitive edge. Business Efficiency Entrepreneurs and small business owners benefit significantly from digital tools that simplify marketing, inventory management, accounting, and customer relationship management. Enhanced Education Students equipped with computer knowledge can access online resources, collaborate on group projects, and excel in research-based studies. Convenience in Daily Life Computers make life easier, whether it’s shopping online, staying connected with loved ones, or managing personal finances through budgeting software. Now that we’ve established why computer literacy matters, let’s look at how to get started with free learning opportunities.
Free Computer Classes Near Me Finding free computer classes is a fantastic way to gain essential skills without stretching your budget. Here are some accessible avenues to explore:
Government Initiatives Governments often run free digital literacy programs to bridge the gap between rural and urban technology users: Pradhan Mantri Gramin Digital Saksharta Abhiyan (PMGDISHA): Aimed at rural households, this initiative trains citizens in basic digital tasks, such as sending emails and using the internet. Digital India Movement: This broader campaign emphasizes digital inclusion and frequently organizes workshops on computer basics.
Non-Governmental Organizations (NGOs) Local NGOs often collaborate with corporate sponsors to provide free computer training. They cater especially to underprivileged sections of society, offering courses on basic computing, data entry, and typing skills.
Online Platforms Many websites and apps offer free courses for beginners: Khan Academy: Known for its user-friendly videos, it provides tutorials on computing fundamentals. Coursera and edX: These platforms often have free courses taught by university professors.
Libraries and Community Centers Check with your local library or community center for free computer literacy workshops. These are great for seniors, homemakers, and those starting from scratch.
Kanpur: A Growing Hub for Computer Education Kanpur, a historic city known for its industrial and educational contributions, is becoming a preferred destination for IT and computer training. Aspiring learners often search for the best computer institute in Kanpur to acquire market-ready skills. Below are some prominent names in the city that stand out due to their curriculum, faculty, and facilities:
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