#Python control structures

[thegrowthtimes]

Getting Started with Python: A Beginner's Guide (pt 2)

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Expanding Your Knowledge: Collections and Control Flow In Part 1 of our beginner’s guide to Python, we covered the basics of variables, data types, and conditional statements. Now, let’s dive deeper into collections like lists, tuples, and dictionaries, as well as control flow mechanisms such as loops and functions. Lists: More Than Just Arrays As mentioned earlier, a list is a collection of…

[max1461]

biden trump pretrump posttrump democracts republicans elite university cancel culture twitter yimby nimby affirmative action rent control. we didnt start the fire leftist rightists liberals grey tribe what about this? what about... oh right. ais and other tech things will come along and make everything not matter. we should do vague technocratic liberalism for two decades and then ai will turn us all into immortal simulated minds or maybe replace all labor. it's probably not important to update social structures in light of that sea change we should keep doing like technocratic market liberalism even though the very concept of like man's place in the world is about to be. yeah that makes sense did you know that affirmative action is going to undo the industrial revolution? because diversity hires won't know how to operate the machines yeah. yeah the fall of the west is coming and china is going to put all american males in those sperm machines from the porn video but we should pretty much do centrist technocratic liberalism until then. and make a really big army to kill china when they show up wait I just thought of something. I forgot what it was but the world isn't very stable it's about to change drastically according to my thing that I believe in. yeah that usually doesn't happen I know but this time my thing that I am all worried about is gonna come and get us soon but instead of preparing for that I think we should sort of do centrist technocratic liberalism kind of as if the world was gonna keep chugging along for another few centuries kind of as if everything is business as normal wait not to make the point too on the nose but I think that's cognitive dissonance. I think if you really thought trump was hitler 3 you probably would act different than you're acting I think probably if you thought uh, whatever, I think. Well I don't know what's in your head but I don't think you.

Right so look at all of it right. Not just in a caricatured way but really look at all of it. It's just been going along, right? I mean it's just been chugging along. I'm glad I don't live in 1500s france but I probably would have been fine. I mean maybe I would have got depressed because I believe in too strict a religion but I'm depressed right now. Maybe I would have died sooner but I'm gonna die anyway, I've only got 80 years anyway. What if I lived in the soviet union? I like freedom of speech but on the other hand who cares. I would have got a job and been fine. Sucks that I can't voice my opinions and shit but on the other hand whatever.

You'll be fucking fine everybody's been fine forever. You'll be fucking fine. You uh, you treat everything as business as usual because at some level. Shit is just how it is you know. I mean there's the monty python caricature of the middle ages where they all ate dirty and shit but in the real middle ages they woke up did some hard work on the farm had sex with each other died of dysentery you're gonna die of some nasty shit that will be viewed as barbaric in the future too. "Yeah but that's a bad thing!!!" too bad it's your fate. The lot of every human ever you everybody before and everybody after is to figure out how to live in a world that kind of is not going to be nice to you. And your big world ending thing is not gonna happen it's just gonna be, wake up pay taxes get sick maybe find love like it's been for everyone forever that's all there is to it. Political regimes and technological systems come and go but eating and fucking and dying and hopefully making friends is forever. There's no point in thinking about the grand story of humanity unless you're an academic it doesn't mean anything or do anything. This post is very not fully endorsed but on the other hand I think this is the corrective most people here need. Don't worry about this shit just try to make some friends and not die too bad, that's all any of us will ever have.

[beatrice-otter]

Alternatives to AO3

With the recent revelations about the OTW's internal dysfunction (and the effect that has on AO3's functioning and abuse of volunteers), a lot of people are all of a sudden looking for alternatives in a way they haven't for years. I think AO3 is here to stay, and I think they will (eventually) manage to get their shit together, (and I also think that a little failure might actually be good for them in the long run) but I also firmly believe that fandom should be less centralized than it currently is. I think it's unhealthy to rely on One Major Archive. I think there should be lots of alternatives, and I think people should post their fanfiction in multiple spaces. I lived through the era when entire archives could vanish overnight. Backups are a very good thing. (AO3 won't vanish overnight; the nonprofit structure means that most of the things that nerfed the older archives can't happen to AO3. It would take a long, slow decline for AO3 to die, with plenty of warning.) Anyway! Here are some other things to consider. OTW-style archives There are actually TWO other archives using the same software as AO3! It is open source. Now, it is deeply unfriendly to use, and has a lot of things that are hard-coded that shouldn't be, so it takes a bit of work to make it work. But two people have gotten it up and running: Squidgeworld. Squidgeworld is a multifandom archive that is the current iteration of an archive that started in 1994. Squidge has been around for a long time, and they just recently converted into a nonprofit to ensure that even if the original founder steps away or dies or whatever, the archive will continue on. Pretty much anything you can post to AO3, you can post to Squidgeworld. Ad Astra. Ad Astra is a Star Trek archive that's been around since 2009, and was formed from even earlier Star Trek fan spaces. It only accepts Star Trek fanfic. Crossovers are fine, RPF is fine (consider time travel fic) as long as the person has been dead for at least 50 years. Personal fanfiction websites Do you want to have a place where you completely control how your fanfiction is presented? It's actually pretty simple to create your own website!

melannen has a tutorial. And there are people creating old-style fanfiction webrings to link peoples' personal fic pages together. If you want something slightly fancier,

tobli has put together a set of Python scripts to function as a static site generator.

comments Comment? https://ift.tt/aKzAuNZ

[internet-siren]

Hacktivism: Digital Rebellion for a New Age 🌐💥

In an era where our lives are intertwined with the digital landscape, the concept of hacktivism has become more than just a buzzword. It’s the fusion of hacking and activism—where people use their coding and cyber skills to disrupt power structures, challenge injustice, and amplify voices that often go unheard. It's a rebellion born from the belief that access to information, privacy, and freedom are rights, not privileges. But how did this digital resistance movement come to be, and how can you get involved? Let’s dive into it. 💻⚡️

What Exactly Is Hacktivism? 🤖✨

At its core, hacktivism is activism with a digital twist. It’s about using technology and hacking tools to advance social, political, and environmental causes. The most common methods include:

DDoS Attacks (Distributed Denial of Service): Overloading a target’s website with too much traffic, essentially crashing it, to temporarily shut down an online service.

Website Defacement: Replacing a website’s homepage with a political message, often exposing corruption or unethical practices.

Data Leaks: Exposing hidden documents or sensitive information that reveal corporate or governmental wrongdoing.

Bypassing Censorship: Circumventing firewalls or government restrictions to make sure information reaches the people it needs to.

The idea is simple: when a government or corporation controls the narrative or hides the truth, hacktivists take it into their own hands to expose it. 🌍💡

Why Is Hacktivism Important? 🔥

In a world dominated by corporations and powerful governments, hacktivism represents a form of resistance that’s accessible. It’s about leveling the playing field, giving people—especially those who lack resources—an avenue to protest, to expose corruption, and to disrupt systems that perpetuate inequality. The digital world is where much of our lives now happen, and hacktivism uses the very systems that oppress us to fight back.

Think about WikiLeaks leaking documents that exposed global surveillance and the activities of intelligence agencies. Or how Anonymous has played a pivotal role in advocating for free speech, standing up against internet censorship, and exposing corrupt governments and corporations. These are the digital warriors fighting for a cause, using nothing but code and their knowledge of the web.

Hacktivism is a direct response to modern issues like surveillance, censorship, and misinformation. It's a way to shift power back to the people, to give voice to the voiceless, and to challenge oppressive systems that don’t always play by the rules.

The Ethical Dilemma 🤔💭

Let’s be real: hacktivism doesn’t come without its ethical dilemmas. While the intentions are often noble, the methods used—hacking into private systems, defacing websites, leaking sensitive info—can sometimes lead to unintended consequences. The line between activism and cybercrime is thin, and depending on where you live, you might face serious legal repercussions for participating in hacktivist activities.

It’s important to consider the ethics behind the actions. Are you defending the free flow of information? Or are you inadvertently causing harm to innocent bystanders? Are the people you’re exposing truly deserving of scrutiny, or are you just participating in chaos for the sake of it?

So if you’re thinking of getting involved, it’s crucial to ask yourself: What am I fighting for? And is the harm done justified by the greater good?

How to Get Started 💻💡

So, you’re interested in getting involved? Here’s a starting point to help you use your tech skills for good:

Learn the Basics of Hacking 🔐: Before diving into the world of hacktivism, you'll need to understand the tools of the trade. Start with the basics: programming languages like Python, HTML, and JavaScript are good foundational skills. Learn how networks work and how to exploit vulnerabilities in websites and servers. There are plenty of free online resources like Codecademy, Hack This Site, and OverTheWire to help you get started.

Understand the Ethical Implications ⚖️: Hacktivism is, above all, about fighting for justice and transparency. But it’s crucial to think through your actions. What’s the bigger picture? What are you trying to achieve? Keep up with the latest issues surrounding privacy, data rights, and digital freedom. Some online groups like The Electronic Frontier Foundation (EFF) provide great resources on the ethics of hacking and digital activism.

Join Communities 🕸️: Being part of a like-minded group can give you support and insight. Online communities, like those on Reddit, Discord, or specific forums like 4chan (if you're cautious of the chaos), can help you learn more about hacktivism. Anonymous has also had an iconic role in digital activism and can be a place where people learn to organize for change.

Stay Informed 🌐: To be effective as a hacktivist, you need to be in the know. Follow independent news sources, activist blogs, and websites that report on global surveillance, corporate corruption, and governmental abuse of power. Hacktivism often reacts to injustices that would otherwise go unnoticed—being informed helps you take action when necessary.

Respect the Digital Space 🌱: While hacktivism can be used to disrupt, it’s important to respect the privacy and safety of ordinary people. Try to avoid unnecessary damage to private citizens, and focus on the systems that need disrupting. The internet is a tool that should be used to liberate, not to destroy without purpose.

Never Forget the Human Side ❤️: As with all activism, the heart of hacktivism is about making a difference in real people’s lives. Whether it's freeing information that has been hidden, protecting human rights, or challenging unjust power structures—always remember that at the end of the code, there are humans behind the cause.

Final Thoughts 💬

Hacktivism is a powerful, transformative form of resistance. It’s not always about flashy headlines or viral attacks—often, it’s the quiet work of exposing truths and giving people a voice in a world that tries to keep them silent. It’s messy, it’s complex, and it’s not for everyone. But if you’re interested in hacking for a purpose greater than yourself, learning the craft with the intention to fight for a better, more just world is something that can actually make a difference.

Remember: With great code comes great responsibility. ✊🌐💻

[mitvpusolapur]

Top B.Tech Courses in Maharashtra – CSE, AI, IT, and ECE Compared

B.Tech courses continue to attract students across India, and Maharashtra remains one of the most preferred states for higher technical education. From metro cities to emerging academic hubs like Solapur, students get access to diverse courses and skilled faculty. Among all available options, four major branches stand out: Computer Science and Engineering (CSE), Artificial Intelligence (AI), Information Technology (IT), and Electronics and Communication Engineering (ECE).

Each of these streams offers a different learning path. B.Tech in Computer Science and Engineering focuses on coding, algorithms, and system design. Students learn Python, Java, data structures, software engineering, and database systems. These skills are relevant for software companies, startups, and IT consulting.

B.Tech in Artificial Intelligence covers deep learning, neural networks, data processing, and computer vision. Students work on real-world problems using AI models. They also learn about ethical AI practices and automation systems. Companies hiring AI talent are in healthcare, retail, fintech, and manufacturing.

B.Tech in IT trains students in systems administration, networking, cloud computing, and application services. Graduates often work in system support, IT infrastructure, and data management. IT blends technical and management skills for enterprise use.

B.Tech ECE is for students who enjoy working with circuits, embedded systems, mobile communication, robotics, and signal processing. This stream is useful for telecom companies, consumer electronics, and control systems in industries.

Key Differences Between These B.Tech Programs:

CSE is programming-intensive. IT includes applications and system-level operations.

AI goes deeper into data modeling and pattern recognition.

ECE focuses more on hardware, communication, and embedded tech.

AI and CSE overlap, but AI involves more research-based learning.

How to Choose the Right B.Tech Specialization:

Ask yourself what excites you: coding, logic, data, devices, or systems.

Look for colleges with labs, project-based learning, and internship support.

Talk to seniors or alumni to understand real-life learning and placements.

Explore industry demand and long-term growth in each field.

MIT Vishwaprayag University, Solapur, offers all four B.Tech programs with updated syllabi, modern infrastructure, and practical training. Students work on live projects, participate in competitions, and build career skills through soft skills training. The university also encourages innovation and startup thinking.

Choosing the right course depends on interest and learning style. CSE and AI suit tech lovers who like coding and research. ECE is great for those who enjoy building real-world devices. IT fits students who want to blend business with technology.

Take time to explore the subjects and talk to faculty before selecting a stream. Your B.Tech journey shapes your future, so make an informed choice.

[digitalmarketing1225]

Object-Oriented Programming (OOP) Explaine

Object-Oriented Programming (OOP) is a programming paradigm based on the concept of "objects," which represent real-world entities. Objects combine data (attributes) and functions (methods) into a single unit. OOP promotes code reusability, modularity, and scalability, making it a popular approach in modern software development.

Core Concepts of Object-Oriented Programming

Classes and Objects

Class: A blueprint or template for creating objects. It defines properties (attributes) and behaviors (methods).

Object: An instance of a class. Each object has unique data but follows the structure defined by its

Encapsulations

Encapsulation means bundling data (attributes) and methods that operate on that data within a class. It protects object properties by restricting direct access.

Access to attributes is controlled through getter and setter methods.Example: pythonCopyEditclass Person: def __init__(self, name): self.__name = name # Private attribute def get_name(self): return self.__name person = Person("Alice") print(person.get_name()) # Output: Alice

Inheritance

Inheritance allows a class (child) to inherit properties and methods from another class (parent). It promotes code reuse and hierarchical relationships.Example: pythonCopyEditclass Animal: def speak(self): print("Animal speaks") class Dog(Animal): def speak(self): print("Dog barks") dog = Dog() dog.speak() # Output: Dog barks

Polymorphism

Polymorphism allows methods to have multiple forms. It enables the same function to work with different object types.

Two common types:

Method Overriding (child class redefines parent method).

Method Overloading (same method name, different parameters – not natively supported in Python).Example: pythonCopyEditclass Bird: def sound(self): print("Bird chirps") class Cat: def sound(self): print("Cat meows") def make_sound(animal): animal.sound() make_sound(Bird()) # Output: Bird chirps make_sound(Cat()) # Output: Cat meows

Abstraction

Abstraction hides complex implementation details and shows only the essential features.

In Python, this is achieved using abstract classes and methods (via the abc module).Example: pythonCopyEditfrom abc import ABC, abstractmethod class Shape(ABC): @abstractmethod def area(self): pass class Circle(Shape): def __init__(self, radius): self.radius = radius def area(self): return 3.14 * self.radius * self.radius circle = Circle(5) print(circle.area()) # Output: 78.5

Advantages of Object-Oriented Programming

Code Reusability: Use inheritance to reduce code duplication.

Modularity: Organize code into separate classes, improving readability and maintenance.

Scalability: Easily extend and modify programs as they grow.

Data Security: Protect sensitive data using encapsulation.

Flexibility: Use polymorphism for adaptable and reusable methods.

Real-World Applications of OOP

Software Development: Used in large-scale applications like operating systems, web frameworks, and databases.

Game Development: Objects represent game entities like characters and environments.

Banking Systems: Manage customer accounts, transactions, and security.

E-commerce Platforms: Handle products, users, and payment processing.

Machine Learning: Implement models as objects for efficient training and prediction.

Conclusion

Object-Oriented Programming is a powerful paradigm that enhances software design by using objects, encapsulation, inheritance, polymorphism, and abstraction. It is widely used in various industries to build scalable, maintainable, and efficient applications. Understanding and applying OOP principles is essential for modern software development.

: pythonCopyEdit

class Car: def __init__(self, brand, model): self.brand = brand self.model = model def display_info(self): print(f"Car: {self.brand} {self.model}") my_car = Car("Toyota", "Camry") my_car.display_info() # Output: Car: Toyota Camry

Encapsulation

[newcodesociety]

ByteByteGo | Newsletter/Blog

From the newsletter:

Imperative Programming Imperative programming describes a sequence of steps that change the program’s state. Languages like C, C++, Java, Python (to an extent), and many others support imperative programming styles.

Declarative Programming Declarative programming emphasizes expressing logic and functionalities without describing the control flow explicitly. Functional programming is a popular form of declarative programming.

Object-Oriented Programming (OOP) Object-oriented programming (OOP) revolves around the concept of objects, which encapsulate data (attributes) and behavior (methods or functions). Common object-oriented programming languages include Java, C++, Python, Ruby, and C#.

Aspect-Oriented Programming (AOP) Aspect-oriented programming (AOP) aims to modularize concerns that cut across multiple parts of a software system. AspectJ is one of the most well-known AOP frameworks that extends Java with AOP capabilities.

Functional Programming Functional Programming (FP) treats computation as the evaluation of mathematical functions and emphasizes the use of immutable data and declarative expressions. Languages like Haskell, Lisp, Erlang, and some features in languages like JavaScript, Python, and Scala support functional programming paradigms.

Reactive Programming Reactive Programming deals with asynchronous data streams and the propagation of changes. Event-driven applications, and streaming data processing applications benefit from reactive programming.

Generic Programming Generic Programming aims at creating reusable, flexible, and type-independent code by allowing algorithms and data structures to be written without specifying the types they will operate on. Generic programming is extensively used in libraries and frameworks to create data structures like lists, stacks, queues, and algorithms like sorting, searching.

Concurrent Programming Concurrent Programming deals with the execution of multiple tasks or processes simultaneously, improving performance and resource utilization. Concurrent programming is utilized in various applications, including multi-threaded servers, parallel processing, concurrent web servers, and high-performance computing.

[germansierra]

Zipf Maneuvers: On Non-Reprintable Materials

Andrew C. Wenaus & Germán Sierra

with an introduction by Steven Shaviro

Erratum Press Academic Division, 2025

Zipf Maneuvers: On Non-Reprintable Materials is a work of conceptual protest that challenges the commodification of knowledge in academic publishing, using mathematical and algorithmic techniques to resist institutional control over intellectual labour. In response to the exorbitant fee imposed by corporate publishers to reprint their own work, neuroscientist Germán Sierra and literary theorist Andrew C. Wenaus devise a radical strategy to bypass the neoliberal logic of access and ownership. As cultural critic and philosopher Steven Shaviro remarks in the introduction to this volume, the project orbits around Zipf’s Law, a statistical principle that ranks words by frequency. Sierra and Wenaus deploy a Python algorithm to reorganize their original articles according to Zipfian distributions, alphabetizing and numerically indexing every word. This reorganization produces a fragmented, non-linear data set that resists conventional reading. Each word is assigned a number corresponding to its original position in the text, creating a disjointed, catalogue-like structure. The result is a protest against the corporate financialization of knowledge and a critique of intellectual property laws that restrict access. By transforming their essays into algorithmically rearranged data, Zipf Maneuvers enacts a singular form of resistance, exposing the absurdity of a system that hinders the free circulation of ideas.

[randamhajile]

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. AnimeLover2005@hotmail.com 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…

[priya-joshi]

The Roadmap to Full Stack Developer Proficiency: A Comprehensive Guide

Embarking on the journey to becoming a full stack developer is an exhilarating endeavor filled with growth and challenges. Whether you're taking your first steps or seeking to elevate your skills, understanding the path ahead is crucial. In this detailed roadmap, we'll outline the stages of mastering full stack development, exploring essential milestones, competencies, and strategies to guide you through this enriching career journey.

Beginning the Journey: Novice Phase (0-6 Months)

As a novice, you're entering the realm of programming with a fresh perspective and eagerness to learn. This initial phase sets the groundwork for your progression as a full stack developer.

Grasping Programming Fundamentals:

Your journey commences with grasping the foundational elements of programming languages like HTML, CSS, and JavaScript. These are the cornerstone of web development and are essential for crafting dynamic and interactive web applications.

Familiarizing with Basic Data Structures and Algorithms:

To develop proficiency in programming, understanding fundamental data structures such as arrays, objects, and linked lists, along with algorithms like sorting and searching, is imperative. These concepts form the backbone of problem-solving in software development.

Exploring Essential Web Development Concepts:

During this phase, you'll delve into crucial web development concepts like client-server architecture, HTTP protocol, and the Document Object Model (DOM). Acquiring insights into the underlying mechanisms of web applications lays a strong foundation for tackling more intricate projects.

Advancing Forward: Intermediate Stage (6 Months - 2 Years)

As you progress beyond the basics, you'll transition into the intermediate stage, where you'll deepen your understanding and skills across various facets of full stack development.

Venturing into Backend Development:

In the intermediate stage, you'll venture into backend development, honing your proficiency in server-side languages like Node.js, Python, or Java. Here, you'll learn to construct robust server-side applications, manage data storage and retrieval, and implement authentication and authorization mechanisms.

Mastering Database Management:

A pivotal aspect of backend development is comprehending databases. You'll delve into relational databases like MySQL and PostgreSQL, as well as NoSQL databases like MongoDB. Proficiency in database management systems and design principles enables the creation of scalable and efficient applications.

Exploring Frontend Frameworks and Libraries:

In addition to backend development, you'll deepen your expertise in frontend technologies. You'll explore prominent frameworks and libraries such as React, Angular, or Vue.js, streamlining the creation of interactive and responsive user interfaces.

Learning Version Control with Git:

Version control is indispensable for collaborative software development. During this phase, you'll familiarize yourself with Git, a distributed version control system, to manage your codebase, track changes, and collaborate effectively with fellow developers.

Achieving Mastery: Advanced Phase (2+ Years)

As you ascend in your journey, you'll enter the advanced phase of full stack development, where you'll refine your skills, tackle intricate challenges, and delve into specialized domains of interest.

Designing Scalable Systems:

In the advanced stage, focus shifts to designing scalable systems capable of managing substantial volumes of traffic and data. You'll explore design patterns, scalability methodologies, and cloud computing platforms like AWS, Azure, or Google Cloud.

Embracing DevOps Practices:

DevOps practices play a pivotal role in contemporary software development. You'll delve into continuous integration and continuous deployment (CI/CD) pipelines, infrastructure as code (IaC), and containerization technologies such as Docker and Kubernetes.

Specializing in Niche Areas:

With experience, you may opt to specialize in specific domains of full stack development, whether it's frontend or backend development, mobile app development, or DevOps. Specialization enables you to deepen your expertise and pursue career avenues aligned with your passions and strengths.

Conclusion:

Becoming a proficient full stack developer is a transformative journey that demands dedication, resilience, and perpetual learning. By following the roadmap outlined in this guide and maintaining a curious and adaptable mindset, you'll navigate the complexities and opportunities inherent in the realm of full stack development. Remember, mastery isn't merely about acquiring technical skills but also about fostering collaboration, embracing innovation, and contributing meaningfully to the ever-evolving landscape of technology.

[guzsdaily]

Good Code is Boring

Daily Blogs 358 - Oct 28th, 12.024

Something I started to notice and think about, is how much most good code is kinda boring.

Clever Code

Go (or "Golang" for SEO friendliness) is my third or fourth programming language that I learned, and it is somewhat a new paradigm for me.

My first language was Java, famous for its Object-Oriented Programming (OOP) paradigms and features. I learned it for game development, which is somewhat okay with Java, and to be honest, I hardly remember how it was. However, I learned from others how much OOP can get out of control and be a nightmare with inheritance inside inheritance inside inheritance.

And then I learned JavaScript after some years... fucking god. But being honest, in the start JS was a blast, and I still think it is a good language... for the browser. If you start to go outside from the standard vanilla JavaScript, things start to be clever. In an engineering view, the ecosystem is really powerful, things such as JSX and all the frameworks that use it, the compilers for Vue and Svelte, and the whole bundling, and splitting, and transpiling of Rollup, ESBuild, Vite and using TypeScript, to compile a language to another, that will have a build process, all of this, for an interpreted language... it is a marvel of engineering, but it is just too much.

Finally, I learned Rust... which I kinda like it. I didn't really make a big project with it, just a small CLI for manipulating markdown, which was nice and when I found a good solution for converting Markdown AST to NPF it was a big hit of dopamine because it was really elegant. However, nowadays, I do feel like it is having the same problems of JavaScript. Macros are a good feature, but end up being the go-to solution when you simply can't make the code "look pretty"; or having to use a library to anything a little more complex; or having to deal with lifetimes. And if you want to do anything a little more complex "the Rust way", you will easily do head to head with a wall of skill-issues. I still love it and its complexity, and for things like compiler and transpilers it feels like a good shot.

Going Go

This year I started to learn Go (or "Golang" for SEO friendliness), and it has being kinda awesome.

Go is kinda like Python in its learning curve, and it is somewhat like C but without all the needing of handling memory and needing to create complex data structured from scratch. And I have never really loved it, but never really hated it, since it is mostly just boring and simple.

There are no macros or magic syntax. No pattern matching on types, since you can just use a switch statement. You don't have to worry a lot about packages, since the standard library will cover you up to 80% of features. If you need a package, you don't need to worry about a centralized registry to upload and the security vulnerability of a single failure point, all packages are just Git repositories that you import and that's it. And no file management, since it just uses the file system for packages and imports.

And it feels like Go pretty much made all the obvious decisions that make sense, and you mostly never question or care about them, because they don't annoy you. The syntax doesn't get into your way. And in the end you just end up comparing to other languages' features, saying to yourself "man... we could save some lines here" knowing damn well it's not worth it. It's boring.

You write code, make your feature be completed in some hours, and compile it with go build. And run the binary, and it's fast.

Going Simple

And writing Go kinda opened a new passion in programming for me.

Coming from JavaScript and Rust really made me be costumed with complexity, and going now to Go really is making me value simplicity and having the less moving parts are possible.

I am becoming more aware from installing dependencies, checking to see their dependencies, to be sure that I'm not putting 100 projects under my own. And when I need something more complex but specific, just copy-and-paste it and put the proper license and notice of it, no need to install a whole project. All other necessities I just write my own version, since most of the time it can be simpler, a learning opportunity, and a better solution for your specific problem. With Go I just need go build to build my project, and when I need JavaScript, I just fucking write it and that's it, no TypeScript (JSDoc covers 99% of the use cases for TS), just write JS for the browser, check if what you're using is supported by modern browsers, and serve them as-is.

Doing this is really opening some opportunities to learn how to implement solutions, instead of just using libraries or cumbersome language features to implement it, since I mostly read from source-code of said libraries and implement the concept myself. Not only this, but this is really making me appreciate more standards and tooling, both from languages and from ecosystem (such as web standards), since I can just follow them and have things work easily with the outside world.

The evolution

And I kinda already feel like this is making me a better developer overhaul. I knew that with an interesting experiment I made.

One of my first actual projects was, of course, a to-do app. I wrote it in Vue using Nuxt, and it was great not-gonna-lie, Nuxt and Vue are awesome frameworks and still one of my favorites, but damn well it was overkill for a to-do app. Looking back... more than 30k lines of code for this app is just too much.

And that's what I thought around the start of this year, which is why I made an experiment, creating a to-do app in just one HTML file, using AlpineJS and PicoCSS.

The file ended up having just 350 files.

Today's artists & creative things Music: Torna a casa - by Måneskin

© 2024 Gustavo "Guz" L. de Mello. Licensed under CC BY-SA 4.0

[thegrowthtimes]

Getting Started with Python: A Beginner's Guide (pt 1)

I was inspired to pursue mastery or expertise in the tech field like coding and development, and to do so there must be a foundation. Here is my beginning.. - I welcome the conversation.

Understanding Variables I was inspired to pursue expertise in the tech field, like coding and development. To achieve this, there must be a foundation. Here is my beginning. I welcome the conversation. In Python, a variable is a container for storing a value. You can assign a value to a variable using the “=” operator. The value can be of any data type, such as a string, integer, or…

[krnetwork]

Unlock the Power of Python Programming: A Complete Guide

Python programming has become one of the most sought-after skills in the world of technology. Its simplicity, flexibility, and vast ecosystem of libraries make it a top choice for both beginners and experienced developers. In this guide, we will explore various aspects of Python programming, from basic concepts to advanced applications like machine learning and web development.

Python Programming: A Beginner-Friendly Language

Python programming is renowned for its readability and straightforward syntax, making it ideal for beginners. Whether you are just starting to code or transitioning from another language, Python offers a smooth learning curve. Key Python programming concepts include variables, data types, and control structures, which are essential for writing functional code.

Python Data Structures: Organizing Data Efficiently

One of the core strengths of Python programming is its rich set of data structures. Lists, dictionaries, tuples, and sets help you store and manage data effectively. Understanding Python data structures allows you to create more efficient programs by organizing and manipulating data effortlessly.

Functions in Python Programming: Building Reusable Code

Functions are a fundamental part of Python programming. They allow you to break down complex problems into smaller, reusable chunks of code. Python functions not only promote code reusability but also make your programs more organized and easier to maintain.

Loops in Python Programming: Automating Repeated Tasks

Loops are an essential feature in Python programming, allowing you to perform repeated operations efficiently. With Python loops such as for and while, you can iterate over sequences or perform tasks until a specific condition is met. Mastering loops is a key part of becoming proficient in Python.

Object-Oriented Programming in Python: Structured Development

Python programming supports object-oriented programming (OOP), a paradigm that helps you build structured and scalable software. OOP in Python allows you to work with classes and objects, making it easier to model real-world scenarios and design complex systems in a manageable way.

Python Automation Scripts: Simplify Everyday Tasks

Python programming can be used to automate repetitive tasks, saving you time and effort. Python automation scripts can help with file management, web scraping, and even interacting with APIs. With Python libraries like os and shutil, automation becomes a breeze.

Python Web Development: Creating Dynamic Websites

Python programming is also a popular choice for web development. Frameworks like Django and Flask make it easy to build robust, scalable web applications. Whether you're developing a personal blog or an enterprise-level platform, Python web development empowers you to create dynamic and responsive websites.

APIs and Python Programming: Connecting Services

Python programming allows seamless integration with external services through APIs. Using libraries like requests, you can easily interact with third-party services, retrieve data, or send requests. This makes Python an excellent choice for building applications that rely on external data or services.

Error Handling in Python Programming: Writing Resilient Code

Python programming ensures that your code can handle unexpected issues using error handling mechanisms. With try-except blocks, you can manage errors gracefully and prevent your programs from crashing. Error handling is a critical aspect of writing robust and reliable Python code.

Python for Machine Learning: Leading the AI Revolution

Python programming plays a pivotal role in machine learning, thanks to powerful libraries like scikit-learn, TensorFlow, and PyTorch. With Python, you can build predictive models, analyze data, and develop intelligent systems. Machine learning with Python opens doors to exciting opportunities in artificial intelligence and data-driven decision-making.

Python Data Science: Turning Data Into Insights

Python programming is widely used in data science for tasks such as data analysis, visualization, and statistical modeling. Libraries like pandas, NumPy, and Matplotlib provide Python programmers with powerful tools to manipulate data and extract meaningful insights. Python data science skills are highly in demand across industries.

Python Libraries Overview: Tools for Every Task

One of the greatest advantages of Python programming is its extensive library support. Whether you're working on web development, automation, data science, or machine learning, Python has a library for almost every need. Exploring Python libraries like BeautifulSoup, NumPy, and Flask can significantly boost your productivity.

Python GUI Development: Building User Interfaces

Python programming isn't just limited to back-end or web development. With tools like Tkinter and PyQt, Python programmers can develop graphical user interfaces (GUIs) for desktop applications. Python GUI development allows you to create user-friendly software with visual elements like buttons, text fields, and images.

Conclusion: Python Programming for Every Developer

Python programming is a versatile and powerful language that can be applied in various domains, from web development and automation to machine learning and data science. Its simplicity, combined with its extensive libraries, makes it a must-learn language for developers at all levels. Whether you're new to programming or looking to advance your skills, Python offers endless possibilities.

At KR Network Cloud, we provide expert-led training to help you master Python programming and unlock your potential. Start your Python programming journey today and take the first step toward a successful career in tech!

[pandeypankaj]

How do I learn Python in depth?

Improving Your Python Skills

  Writing Python Programs Basics: Practice the basics solidly. 

  Syntax and Semantics: Make sure you are very strong in variables, data types, control flow, functions, and object-oriented programming. 

 Data Structures: Be able to work with lists, tuples, dictionaries, and sets, and know when to use which. 

 Modules and Packages: Study how to import and use built-in and third-party modules. 

Advanced Concepts

Generators and Iterators: Know how to develop efficient iterators and generators for memory-efficient code. 

Decorators: Learn how to dynamically alter functions using decorators. 

Metaclasses: Understand how classes are created and can be customized. 

Context Managers: Understand how contexts work with statements. 

Project Practice 

 Personal Projects: You will work on projects that you want to, whether building a web application, data analysis tool, or a game.

 Contributing to Open Source: Contribute to open-source projects in order to learn from senior developers. Get exposed to real-life code. 

 Online Challenges: Take part in coding challenges on HackerRank, LeetCode, or Project Euler. 

 Learn Various Libraries and Frameworks

 Scientific Computing: NumPy, SciPy, Pandas

 Data Visualization: Matplotlib, Seaborn

 Machine Learning: Scikit-learn, TensorFlow, PyTorch

 Web Development: Django, Flask

Data Analysis: Dask, Airflow

Read Pythonic Code

 Open Source Projects: Study the source code of a few popular Python projects. Go through their best practices and idiomatic Python. 

 Books and Tutorials: Read all the code examples in books and tutorials on Python. 

 Conferences and Workshops

  Attend conferences and workshops that will help you further your skills in Python. PyCon is an annual Python conference that includes talks, workshops, and even networking opportunities. Local meetups will let you connect with other Python developers in your area. 

Learn Continuously

 Follow Blogs and Podcasts: Keep reading blogs and listening to podcasts that will keep you updated with the latest trends and developments taking place within the Python community.

Online Courses: Advanced understanding in Python can be acquired by taking online courses on the subject.

 Try It Yourself: Trying new techniques and libraries expands one's knowledge.

Other Recommendations

 Readable-Clean Code: For code writing, it's essential to follow the style guide in Python, PEP 

Naming your variables and functions as close to their utilization as possible is also recommended.

 Test Your Code: Unit tests will help in establishing the correctness of your code.

 Coding with Others: Doing pair programming and code reviews would provide you with experience from other coders.

 You are not Afraid to Ask for Help: Never hesitate to ask for help when things are beyond your hand-on areas, be it online communities or mentors.

These steps, along with consistent practice, will help you become proficient in Python development and open a wide range of possibilities in your career.

[mvishnukumar]

How much Python should one learn before beginning machine learning?

Before diving into machine learning, a solid understanding of Python is essential. :

Basic Python Knowledge:

Syntax and Data Types: 

Understand Python syntax, basic data types (strings, integers, floats), and operations.

Control Structures: 

Learn how to use conditionals (if statements), loops (for and while), and list comprehensions.

Data Handling Libraries:

Pandas: 

Familiarize yourself with Pandas for data manipulation and analysis. Learn how to handle DataFrames, series, and perform data cleaning and transformations.

NumPy: 

Understand NumPy for numerical operations, working with arrays, and performing mathematical computations.

Data Visualization:

Matplotlib and Seaborn: 

Learn basic plotting with Matplotlib and Seaborn for visualizing data and understanding trends and distributions.

Basic Programming Concepts:

Functions: 

Know how to define and use functions to create reusable code.

File Handling: 

Learn how to read from and write to files, which is important for handling datasets.

Basic Statistics:

Descriptive Statistics: 

Understand mean, median, mode, standard deviation, and other basic statistical concepts.

Probability: 

Basic knowledge of probability is useful for understanding concepts like distributions and statistical tests.

Libraries for Machine Learning:

Scikit-learn: 

Get familiar with Scikit-learn for basic machine learning tasks like classification, regression, and clustering. Understand how to use it for training models, evaluating performance, and making predictions.

Hands-on Practice:

Projects: 

Work on small projects or Kaggle competitions to apply your Python skills in practical scenarios. This helps in understanding how to preprocess data, train models, and interpret results.

In summary, a good grasp of Python basics, data handling, and basic statistics will prepare you well for starting with machine learning. Hands-on practice with machine learning libraries and projects will further solidify your skills.

To learn more drop the message…!

[mohankumar1510]

How should I start learning Python?

The best way to learn Python programming is through a combination of theoretical knowledge and practical experience. Here are some steps you can follow:

1. Start with the basics: Understand the syntax, data types, and control structures of Python.

2. Practice coding: Websites like LeetCode, HackerRank, and CodeWars offer a variety of coding challenges.

3. Work on projects: Apply your knowledge by building real-world projects, such as web scrapers, chatbots, or games.

4. Join a community: Participate in online communities like Reddit's r/learnpython and r/Python, and attend meetups and conferences.

My suggest in To accelerate your learning journey, consider enrolling in VK Academy's Python course! Their expert trainers provide personalized guidance, hands-on exercises, and real-world projects to help you become a proficient Python programmer.