#import statement python

[haveyouseenthismovie-poll]

Harry Potter is problematic for a lot more than transphobia. The antisemitism is very present, as is anti blackness, indigenous appropriation and bastardization, anti-Irish sentiment, homophobia, Sinophobia, etc. Also, it’s not just “the author is problematic” when the books and games and movies are full of her bigotry.

I understand and I apologize if my original post on this matter made it come across as though these issues with the series aren’t also important.

That being said, the sentiment of that post remains the same: if I were to avoid posting a Harry Potter movie due to its unsavory creator and content, then there would be countless other films that I could also not morally justify posting based on their content or who worked on them, which would be counterintuitive to the goal of this blog. Plenty of films that have appeared here and will appear here in the future are problematic in various ways, on account of their age or other factors. For instance, Life is Brian, which appeared in a poll several weeks ago, contains rape jokes, transphobic jokes, ableist jokes, blackface, and potentially other offensive things that I either didn't notice or don't remember. However, the Monty Python series is considered extremely popular and iconic in a lot of circles, thus it can be interesting get a percentage of how many people here have actually seen it, even if I disagree with its contents.

The goal of this blog is not to tell you to watch or support certain films; it’s not making any statements about the quality of these films or the morality of them, it is simply an attempt to gauge how popular various films are amongst the Tumblr userbase. If you dislike certain films being posted here, I wouldn’t blame you for unfollowing or blocking me for it.

[digitaldetoxworld]

Python Programming Language: A Comprehensive Guide

 Python is one of the maximum widely used and hastily growing programming languages within the world. Known for its simplicity, versatility, and great ecosystem, Python has become the cross-to desire for beginners, professionals, and organizations across industries.

What is Python used for

🐍 What is Python?

Python is a excessive-stage, interpreted, fashionable-purpose programming language.  The language emphasizes clarity, concise syntax, and code simplicity, making it an excellent device for the whole lot from web development to synthetic intelligence.

Its syntax is designed to be readable and easy, regularly described as being near the English language. This ease of information has led Python to be adopted no longer simplest through programmers but also by way of scientists, mathematicians, and analysts who may not have a formal heritage in software engineering.

📜 Brief History of Python

Late Nineteen Eighties: Guido van Rossum starts work on Python as a hobby task.

1991: Python zero.9.0 is released, presenting classes, functions, and exception managing.

2000: Python 2.Zero is launched, introducing capabilities like list comprehensions and rubbish collection.

2008: Python 3.Zero is launched with considerable upgrades but breaks backward compatibility.

2024: Python three.12 is the modern day strong model, enhancing performance and typing support.

⭐ Key Features of Python

Easy to Learn and Use:

Python's syntax is simple and similar to English, making it a high-quality first programming language.

Interpreted Language:

Python isn't always compiled into device code; it's far done line by using line the usage of an interpreter, which makes debugging less complicated.

Cross-Platform:

Python code runs on Windows, macOS, Linux, and even cell devices and embedded structures.

Dynamic Typing:

Variables don’t require explicit type declarations; types are decided at runtime.

Object-Oriented and Functional:

Python helps each item-orientated programming (OOP) and practical programming paradigms.

Extensive Standard Library:

Python includes a rich set of built-in modules for string operations, report I/O, databases, networking, and more.

Huge Ecosystem of Libraries:

From data technological know-how to net development, Python's atmosphere consists of thousands of programs like NumPy, pandas, TensorFlow, Flask, Django, and many greater.

📌 Basic Python Syntax

Here's an instance of a easy Python program:

python

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def greet(call):

    print(f"Hello, call!")

greet("Alice")

Output:

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Hello, Alice!

Key Syntax Elements:

Indentation is used to define blocks (no curly braces  like in different languages).

Variables are declared via task: x = 5

Comments use #:

# This is a remark

Print Function:

print("Hello")

📊 Python Data Types

Python has several built-in data kinds:

Numeric: int, go with the flow, complicated

Text: str

Boolean: bool (True, False)

Sequence: listing, tuple, range

Mapping: dict

Set Types: set, frozenset

Example:

python

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age = 25             # int

name = "John"        # str

top = 5.Nine         # drift

is_student = True    # bool

colors = ["red", "green", "blue"]  # listing

🔁 Control Structures

Conditional Statements:

python

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if age > 18:

    print("Adult")

elif age == 18:

    print("Just became an person")

else:

    print("Minor")

Loops:

python

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for color in hues:

    print(coloration)

while age < 30:

    age += 1

🔧 Functions and Modules

Defining a Function:

python

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def upload(a, b):

    return a + b

Importing a Module:

python

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import math

print(math.Sqrt(sixteen))  # Output: four.0

🗂️ Object-Oriented Programming (OOP)

Python supports OOP functions such as lessons, inheritance, and encapsulation.

Python

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elegance Animal:

    def __init__(self, call):

        self.Call = name

def communicate(self):

        print(f"self.Call makes a valid")

dog = Animal("Dog")

dog.Speak()  # Output: Dog makes a legitimate

🧠 Applications of Python

Python is used in nearly each area of era:

1. Web Development

Frameworks like Django, Flask, and FastAPI make Python fantastic for building scalable web programs.

2. Data Science & Analytics

Libraries like pandas, NumPy, and Matplotlib permit for data manipulation, evaluation, and visualization.

Three. Machine Learning & AI

Python is the dominant language for AI, way to TensorFlow, PyTorch, scikit-research, and Keras.

4. Automation & Scripting

Python is extensively used for automating tasks like file managing, device tracking, and data scraping.

Five. Game Development

Frameworks like Pygame allow builders to build simple 2D games.

6. Desktop Applications

With libraries like Tkinter and PyQt, Python may be used to create cross-platform computing device apps.

7. Cybersecurity

Python is often used to write security equipment, penetration trying out scripts, and make the most development.

📚 Popular Python Libraries

NumPy: Numerical computing

pandas: Data analysis

Matplotlib / Seaborn: Visualization

scikit-study: Machine mastering

BeautifulSoup / Scrapy: Web scraping

Flask / Django: Web frameworks

OpenCV: Image processing

PyTorch / TensorFlow: Deep mastering

SQLAlchemy: Database ORM

💻 Python Tools and IDEs

Popular environments and tools for writing Python code encompass:

PyCharm: Full-featured Python IDE.

VS Code: Lightweight and extensible editor.

Jupyter Notebook: Interactive environment for statistics technological know-how and studies.

IDLE: Python’s default editor.

🔐 Strengths of Python

Easy to study and write

Large community and wealthy documentation

Extensive 0.33-birthday celebration libraries

Strong support for clinical computing and AI

Cross-platform compatibility

⚠️ Limitations of Python

Slower than compiled languages like C/C++

Not perfect for mobile app improvement

High memory usage in massive-scale packages

GIL (Global Interpreter Lock) restricts genuine multithreading in CPython

🧭 Learning Path for Python Beginners

Learn variables, facts types, and control glide.

Practice features and loops.

Understand modules and report coping with.

Explore OOP concepts.

Work on small initiatives (e.G., calculator, to-do app).

Dive into unique areas like statistics technological know-how, automation, or web development.

[90percentstudios]

so for ckc in the update before season 2 came out voices were added to the characters. How does the code for that look/work? I’m working on a project on renpy and want to add those voice bites in but I haven’t been able to find a tutorial.

i pasted everything here but realized tumblr might have issues retaining indentations (and there's a LOT of code related to voice bites, specifically the dynamic syllable-reacting voice bite update we did a while ago) so i'd recommend you download the code here! you can copy and paste it, edit it to fit your needs, etc.

i've included comments to hopefully explain some of what's going on. anyway, for those interested in reading on tumblr, here are some examples of how to define characters with voices (probably most important part of the code anyway):

-------------------- init offset = -2 init python: # Below is an example voice definition: "n_voice", which is used for narrator. We used to have an issue where the narrator's voice would continue playing even after the dialogue ended, hence the added code "play_voice_loop_limited" which is meant to stop the narrator's voice bite earlier.     def n_voice(event, interact=True, **kwargs):         if not interact:             return         if event == "show_done":             play_voice_loop_limited("sound/voice/n.ogg")         elif event == "slow_done":             renpy.music.stop(channel=u'voice0') # Below is Cody's voice, which changes depending on his age, hence lines like "if cod_bod == 'col12yo':".     def cod_voice(event, interact=True, **kwargs):         if not interact:             return         if event == "show_done":             if cod_bod != 'col12yo' and cod_bod != 'avg4yo':                 play_voice("sound/voice/cod.ogg")             if cod_bod == 'col12yo':                 play_voice("sound/voice/cod12yo.ogg")             if cod_bod == 'avg4yo':                 play_voice("sound/voice/cod4yo.ogg")         elif event == "slow_done":             renpy.music.stop(channel=u'voice0') # But if you don't need variable voices, here's an example of a voice definition without all the if statements:     def example_voice(event, interact=True, **kwargs):         if not interact:             return         if event == "show_done":             play_voice("sound/voice/example.ogg")         elif event == "slow_done":             renpy.music.stop(channel=u'voice0') # Now, in an "init" block instead of an "init python" block, we can define characters. Use "callback=n_voice" to indicate which voice definition to use for which character. You can omit "callback=n_voice" entirely if you don't want your character to have a voice bite. init:     define n = Character(_(""), callback=n_voice, color = "#a4a4a4", window_background="textbox_narrator")     define cod = Character(_("[cod_name]"), callback=cod_voice, color = "#00b7ff", window_background="textbox_cod")     define mute = Character(_("[mute_name]"), color = "#00b7ff", window_background="textbox_mute")

[beardedmrbean]

A luxury handbag designer has been jailed after pleading guilty to smuggling purses made of the skins of protected reptiles, according to the U.S. Department of Justice.

Nancy Teresa Gonzalez de Barberi, found of the luxury handbag company Gzuniga, was sentenced to 18 months in prison on Monday for illegally importing merchandise from Colombia to the United States that was made from protected wildlife, authorities said.

Mauricio Giraldo, an associate of Gonzalez, was also sentenced to prison, according to the Department of Justice.

“Gzuniga was ordered to forfeit all handbags and other previously seized product, banned for three years from any activities involving commercial trade in wildlife and sentenced to serve three years of probation,” officials said. “Gonzalez was sentenced to 18 months in prison with credit for time served, a supervised release of three years and to pay a special assessment. Giraldo was sentenced to time served, approximately 22 months based on incarceration in Colombia and the United States since his extradition, a year of supervised release and to pay a special assessment.”

Another co-conspirator, John Camilo Aguilar Jaramillo, had previously pleaded guilty on April 8 and is set to be sentenced on June 27, authorities said.

Gonzalez, Giraldo and Jaramillo are Colombian citizens and were extradited to the United States to face the charges brought against them.

The caiman and python species the company was making bags out of are protected by the Convention on International Trade in Endangered Species of Wild Fauna and Flora (CITES), to which both the United States and Colombia are signatories. The trade in caimans and pythons is not completely banned but is strictly regulated under CITES rules.

“The United States signed on to CITES in an effort to help protect threatened and endangered species here and abroad from trafficking,” said Assistant Attorney General Todd Kim of the Justice Department’s Environment and Natural Resources Division in a statement released by the Department of Justice on Monday. “We will not tolerate illegal smuggling. We appreciate the efforts of our many federal and international partners who have helped with the investigation, extradition and prosecution of this case.”

The conspirators brought “hundreds of designer purses, handbags and totes into the United States by enlisting friends, relatives and even employees of Gonzalez’s manufacturing company in Colombia to wear the designer handbags or put them in their luggage while traveling on passenger airlines,” authorities said.

Once the merchandise was in the United States, the bags were delivered or shipped to the Gzuniga showroom in New York to be displayed and sold.

“The United States, in company with the international community, has established a system for overseeing the trafficking in protected species of wildlife. That system relies on a system of permits and oversight by many agencies and demands strict compliance by all those engaged in such trade,” said U.S. Attorney Markenzy Lapointe for the Southern District of Florida. “The press of business, production deadlines or other economic factors are not justification for anyone to knowingly flout the system and attempt to write their own exceptions to wildlife trafficking laws. In cooperation with our international partners, our Office will continue to require strict adherence to laws that protect our endangered species.”

An indictment charged Gzuniga, Gonzalez, Giraldo and Jaramillo with one count of conspiracy and two counts of smuggling for illegally importing designer handbags made from caiman and python skin from February 2016 to April 2019.

“The U.S. Fish and Wildlife Service is deeply committed to combatting wildlife trafficking in all its forms. The Gonzalez case underscores the importance of robust collaboration with federal and international partners to disrupt illegal wildlife trade networks,” said Assistant Director Edward Grace of the U.S. Fish and Wildlife Service’s (USFWS) Office of Law Enforcement. “This investigation uncovered a multi-year scheme that involved paid couriers smuggling undeclared handbags made of CITES-protected reptile skins into the U.S. to be sold for thousands of dollars. The Service will continue to seek justice for protected species exploited for profit, and we will hold accountable those who seek to circumvent international controls meant to regulate their sustainable trade.”

[lumilasi]

UPDATE: Since her band no longer exists, I changed her job into an airship mechanic. I don't have an idea for her work clothes yet, but will add them once I do!

Note: Max has no ears on purpose even in human form, also they can transform only partially where their upper body still looks like the human one.

Bio below:

Name: Max Karuna

Nicknames: Snakes (Chouma) Maxie (Franziska)

Nonbinary, uses She/they

Age: 28

Height: 167 cm (human)

Occupation: An airship mechanic/mentor to mechanic student Marisa

Family: They apparently has a MASSIVE family, but she rarely sees them due to her job (not relevant to the main story either)

Love Interest: Franziska Belmont (A sith cat/cat witch)

Friends: Chouma (A moth spirit), Marisa (her apprentice, also a moth spirit), Taiga (Arctic kitsune)

Powers:

Aquatic abilities: They can breathe underwater, dive into the depth of 4 km, swim 50 mph, and send supersonic signals through water and has some water elemental powers, though she needs to be in contact with water to do so, unlike actual elementals.

Excellent drumming skills: Self explanatory

Shapeshifting: They can switch between a human, a half or full-naga, as well as a full snake form. The latter is the size of a normal python snake, whereas her naga form can be up to 10-15 meters long.

Snake hair: She can turn her hair into snakes that have very sharp teeth, and can choke or crush things. (Being a python type, Max is one of those rarer Naga with no poison production, most Nagas are venomous snakes)

Venom: She can produce venom from her fangs and clawed hands that can either sedate, paralyze or kill a target. They aren't the most poisonous type though, so typically the venom doesn't work lethally on most healthy humans, let alone nonhuman beings.

Sixth sense for treasure: Her kind generally are well known for finding anything lost that holds importance, and she is no different. If something is missing, their bandmates often ask them to find it.

WEAKNESSES:

Max can be easily coaxed for shenanigans, which can cause some issues and messes to be cleaned. She, as a snake, is not fond of cold climates and can get the flu extremely easily during winter.

PERSONALITY:

Max is confident, outgoing and friendly person, who makes friends easily and is generally seen as a bit of a sunny personality to be around. They have a mischievous side despite seeming very chill and mature at first glance, and tends to pull pranks on people a lot. They are also very attuned to people's emotions and vibes, and she can tell when someone is having a bad day and what could perhaps help, or when is not the right time to talk about something.

They can be a bit of a potty mouth, but they tries her best to censor themselves when around kids or people who don't like swearing (at least, if they like said people)

EXTRA FACTS:

Her snake colors and pattern is inspired by the banana/coral glow python

Max enjoys ridiculously sugary and sweet drinks and freakshakes.

Max loves action movies and silly goofy b-movie horror movies, finding them hilarious

They can't sing, at all. But they do make sick beats with the drums, and she is a hobbyist drummer. (She is banned from taking part in karaoke)

Max largely follows punkish/grunge style, but also tends to enjoy including something really bright and colorful to it.

In general she tends to wear one really eccentric statement piece with almost every outfit, or at least one with a very strongly contrasting color.

Max's favorite style of party is treasure hunting, and anytime they celebrate her birthday or something, their friends arrange a hunt of some sort.

She has a habit of jokingly saying "oooo, Shiny!" about anything she likes, not just actual Jewels. It could be a friend, their girlfriend, clothes they like, etc.

Their kind tend to not have ears by default in human form, so if trying to blend in with actual humans, they have to remember to shapeshift their head to include those.

[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

[goldeneducation]

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Some other factors that affect the cost of a Python course are its duration, course syllabus, number of practical sessions, institute reputation and location, trainers’ expertise, etc. What is the duration of a Python course? The duration of a basic Python course is generally between 3 month to 6 months, and advanced courses can be 1 year . However, some courses extend up to 1 year and more when they combine multiple other courses or include internship programs.

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[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…!

[crippl-hacker]

Python Day 2

Today I am starting off with exercise 13. Exercise 13 introduces the concepts of variables, modules, and argv.

[ID: Exercise 13 code. It imports the argv module from sys, then uses argv to create 4 variables, script, first, second, and third. Next print() is used to print out the different variables /ID]

When calling the program I was confused as to why I got the error of too many variables. Looking into this I found that the first variable of 'argv' is always going to be the script. I then fixed that and added in script as the first variable.

Next for the study drill I wrote a new variable and updated the code to print the retrieved information.

Alrighty then - onto exercise 14. Exercise 14 is about practicing prompts and variables.

In the study drills I updated the script with a new prompt and print statement.

Exercise 15 is a simple program that prints out the contents of a file. An important thing to note is to always close the file when doing things like this!

Exercise 16 practices making a copy of a file and then updating it with 3 lines from user input.

I ended up running into the issue where it was saying that it couldn't read the file. I ended up finding out that .read() starts from the cursor position - and if the cursor is at the end of the file from writing it you will not have your file printed.

Exercise 17 is practicing copying files over and was relatively simple.

[saucy-mesothelioma]

Is there any piece of British media you enjoy a lot? I want to learn the British accent (for my career, ofc) and it's the best way to get myself into it

Ooh, that's a really intriguing question, and I'd love to hear about your career if you don't mind sharing because it sounds interesting! I like to do voiceovers for a hobby so I definitely get the importance of having media to compare and go off of. Of course, I have no clue about specific accents so you might have to do additional research if you need a very specific region, but I'll try my best to give a few pieces of media that might be able to help.

•The Magnus Archives/The Magnus Protocol: It's a horror podcast about an institute that takes in statements on the paranormal, and has a wide array of characters to use for reference. And since it's an audio performance, it might be easier to pick up inflections and things like that. Not to mention it's incredibly entertaining.

•The Outlaws: I never got around to finishing this show, but it's pretty good. It's about a group of people doing community service that end up getting involved in a drug gang ring. It's pretty funny even though quite a bit of the comedy comes from second-hand embarrassment, but it's definitely not bad.

•End of the F***ing World: That's another show I haven't finished primarily because I was watching it with my brother. From what I can remember, it's about two kids (one a moody teen girl and the other a teen boy who thinks he's a psychopath) who run off to find the girl's estranged father. Unfortunately, I don't remember much about it, but from what I do know it was entertaining.

•Extras: It's sort've like The Office (in fact it was written and stars two of the guys who wrote the UK Office) but it follows a guy who's trying to become a prominent actor and fails miserably. It's got a lot of guest appearances and it's a relatively short series as well. I personally hate shows like The Office, but this was one I liked.

•Haunting of Bly Manor: Not as good as Haunting of Hill House in my opinion, but it's still an incredibly good although short horror series. It's about a woman who goes to care for two kids for their uncle after they were orphaned. It'll definitely be entertaining to watch and it's worth a try.

•Hitchhiker's Guide to the Galaxy Radio Show/TV Series: You already know what Hitchhiker's Guide is so I won't explain it, but if I had to choose one or the other to suggest I would go with the radio show. The TV series is amazing, don't get me wrong, but for your purposes I find that audio-only pieces of media would work best. This is the version I prefer to listen to.

•Anything Monty Python: I can't guarantee that this would be the best source because it genuinely might be too entertaining. I fuckin love Monty Python with everything I have and there's not much I can say about it because it's just something you have to experience.

Of course, you can also look towards prominent British actors like Tim Curry, Angela Lansbury, and John Oliver, which is something I would suggest doing as well. Personally another thing that I've found to be helpful is also practicing a transatlantic accent, which is basically halfway between an American accent and a British accent. The only two people I can think of off the top of my head that have a very good transatlantic accent are Vincent Price and David Ogden Stiers (specifically as his role as Charles Winchester in M*A*S*H), so that might be some good warm-up. Hopefully this was of some help!

[skaruresonic]

The reason I get excited at being able to implement even small functions in RenPy is because whenever I try to follow a cookbook or tutorial: = The information is outdated, and I don't realize this until I get errors trying to execute the code. Much of the documentation that exists is obsolete by now, and RenPy is always updating the syntax it will accept. So you can have code that works for version 7.1.1 if you "word" the code right, but not work for version 8.1.1 because the newer version changed how you express the function. = The tutorial-maker made a mistake or neglected to establish an important variable early on, and you only realize it 5 forum thread posts later when they're like "teehee disregard what I just said, this is the correct code" = The code is poorly-written. Nobody in this Chili's fucking indents their shit. Also y'all need to comment out code with TWO pound signs, not one.

= I keep getting syntax errors because it's like 3 AM and I don't realize I forgot a single quotation mark. = It turns out the function I need to manipulate is a piece of code in screens.rpy or gui.rpy, or both, or neither, or it needs to be defined in the script as well. Nobody tells you where to put init:, for example, everyone assumes you already know you put it in the script. And like I said, because RenPy changes what syntax it will accept with each version of the program, you need to place code in specific places in order for it to work. But some other stuff like changing the text, font, and size of the notify box but not the notification box without also changing all of your game's GUI can be tricky.

= After much banging of head against wall, you realize the way you're implementing something is contradictory and causes a crash because you're trying to make RenPy read something in the wrong order (putting cart before horse) or you're trying to make it read something you haven't defined, or which doesn't exist. The computer can only read variables you have defined. = Didn't indent. = Indented too much. = RenPy decides nah, it doesn't wanna run the code.

That being said, I am now unreasonably excited about finally being able to use object classes in Python. The problem I kept running into in OaS was that, for whatever reason, I couldn't get persistent variables to stick, meaning the flags for triggers that were not as complex as I may have liked. But object classes seem to work around that constraint just fine, and the best part is I don't have to define a million individual variables with easily-breakable if/else statements.

So now instead of the narrative being based on one binary choice while feigning the illusion of divergence in the others, I can craft a more complex narrative that actually takes your choices into account and assigns variables to them that will influence the ending you get or which routes you see.

Implementation is going to be a shit ton of work as usual, but I'm actually really excited to see how this will pan out.

[digitaldetoxworld]

The C Programming Language Compliers – A Comprehensive Overview

 C is a widespread-purpose, procedural programming language that has had a profound have an impact on on many different contemporary programming languages. Known for its efficiency and energy, C is frequently known as the "mother of all languages" because many languages (like C++, Java, and even Python) have drawn inspiration from it.

C Lanugage Compliers 

Developed within the early Seventies via Dennis Ritchie at Bell Labs, C changed into firstly designed to develop the Unix operating gadget. Since then, it has emerge as a foundational language in pc science and is still widely utilized in systems programming, embedded systems, operating systems, and greater.

2. Key Features of C

C is famous due to its simplicity, performance, and portability. Some of its key functions encompass:

Simple and Efficient: The syntax is minimalistic, taking into consideration near-to-hardware manipulation.

Fast Execution: C affords low-degree get admission to to memory, making it perfect for performance-critical programs.

Portable Code: C programs may be compiled and run on diverse hardware structures with minimal adjustments.

Rich Library Support: Although simple, C presents a preferred library for input/output, memory control, and string operations.

Modularity: Code can be written in features, improving readability and reusability.

Extensibility: Developers can without difficulty upload features or features as wanted.

Three. Structure of a C Program

A primary C application commonly consists of the subsequent elements:

Preprocessor directives

Main function (main())

Variable declarations

Statements and expressions

Functions

Here’s an example of a easy C program:

c

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#include <stdio.H>

int important() 

    printf("Hello, World!N");

    go back zero;

Let’s damage this down:

#include <stdio.H> is a preprocessor directive that tells the compiler to include the Standard Input Output header file.

Go back zero; ends this system, returning a status code.

4. Data Types in C

C helps numerous facts sorts, categorised particularly as:

Basic kinds: int, char, glide, double

Derived sorts: Arrays, Pointers, Structures

Enumeration types: enum

Void kind: Represents no fee (e.G., for functions that don't go back whatever)

Example:

c

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int a = 10;

waft b = three.14;

char c = 'A';

five. Control Structures

C supports diverse manipulate structures to permit choice-making and loops:

If-Else:

c

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if (a > b) 

    printf("a is more than b");

 else 

Switch:

c

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switch (option) 

    case 1:

        printf("Option 1");

        smash;

    case 2:

        printf("Option 2");

        break;

    default:

        printf("Invalid option");

Loops:

For loop:

c

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printf("%d ", i);

While loop:

c

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int i = 0;

while (i < five) 

    printf("%d ", i);

    i++;

Do-even as loop:

c

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int i = zero;

do 

    printf("%d ", i);

    i++;

 while (i < 5);

6. Functions

Functions in C permit code reusability and modularity. A function has a return kind, a call, and optionally available parameters.

Example:

c

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int upload(int x, int y) 

    go back x + y;

int important() 

    int end result = upload(3, 4);

    printf("Sum = %d", result);

    go back zero;

7. Arrays and Strings

Arrays are collections of comparable facts types saved in contiguous memory places.

C

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int numbers[5] = 1, 2, three, 4, five;

printf("%d", numbers[2]);  // prints three

Strings in C are arrays of characters terminated via a null character ('').

C

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char name[] = "Alice";

printf("Name: %s", name);

8. Pointers

Pointers are variables that save reminiscence addresses. They are powerful but ought to be used with care.

C

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int a = 10;

int *p = &a;  // p factors to the address of a

Pointers are essential for:

Dynamic reminiscence allocation

Function arguments by means of reference

Efficient array and string dealing with

9. Structures

C

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struct Person 

    char call[50];

    int age;

;

int fundamental() 

    struct Person p1 = "John", 30;

    printf("Name: %s, Age: %d", p1.Call, p1.Age);

    go back 0;

10. File Handling

C offers functions to study/write documents using FILE pointers.

C

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FILE *fp = fopen("information.Txt", "w");

if (fp != NULL) 

    fprintf(fp, "Hello, File!");

    fclose(fp);

11. Memory Management

C permits manual reminiscence allocation the usage of the subsequent functions from stdlib.H:

malloc() – allocate reminiscence

calloc() – allocate and initialize memory

realloc() – resize allotted reminiscence

free() – launch allotted reminiscence

Example:

c

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int *ptr = (int *)malloc(five * sizeof(int));

if (ptr != NULL) 

    ptr[0] = 10;

    unfastened(ptr);

12. Advantages of C

Control over hardware

Widely used and supported

Foundation for plenty cutting-edge languages

thirteen. Limitations of C

No integrated help for item-oriented programming

No rubbish collection (manual memory control)

No integrated exception managing

Limited fashionable library compared to higher-degree languages

14. Applications of C

Operating Systems: Unix, Linux, Windows kernel components

Embedded Systems: Microcontroller programming

Databases: MySQL is partly written in C

Gaming and Graphics: Due to performance advantages

[eduvantec]

Demystifying Python Expressions and Statements

If you're new to Python, you’ve probably heard the terms expressions and statements thrown around. They sound similar but play very different roles in your code. Understanding the difference between the two is key to writing clean, effective Python programs.

���� What Is an Expression in Python?

An expression is any piece of code that produces a value. It’s like a math formula — you input some values, and Python gives you a result. Expressions can be as simple as a single number or as complex as a combination of operations and function calls. The important part is: expressions always return a value.

Think of expressions as the building blocks of Python code — they’re what you calculate, compare, or evaluate.

🏗️ What Is a Statement in Python?

A statement is a complete instruction that Python can execute. This includes things like assigning a value to a variable, writing a loop, or using a conditional (like if-else). A statement might include one or more expressions, but its main job is to make something happen — not just produce a value.

In everyday language, if expressions are like phrases in a sentence, then statements are the full sentences themselves. They carry out the actions of your program.

🔄 How Are They Related?

Expressions and statements often work together. For example, in a print statement, the expression is what’s being printed. The statement tells Python to do something with it. You can think of statements as the framework of your code, while expressions are the details inside that framework.

🎯 Why This Matters

Knowing when you're writing an expression versus a statement can help you avoid syntax errors, improve code readability, and understand how Python evaluates and executes your code. It’s a core concept that makes debugging and coding more intuitive as you progress.

🆘 Struggling with Python Basics?

If you're still unsure about the difference between statements and expressions or need help with Python assignments, you’re not alone. Get personalized guidance and expert help at AllHomeworkAssignments.com — your one-stop destination for Python tutoring, homework help, and more.

[promptlyspeedyandroid]

Unlocking the Basics: A Comprehensive C Programming Language Tutorial for Beginners

Introduction

C programming language is often referred to as the backbone of modern programming. Developed in the early 1970s, C has influenced many other programming languages, including C++, Java, and Python. Its efficiency, flexibility, and powerful features make it a popular choice for system programming, embedded systems, and application development. This tutorial aims to provide beginners with a solid foundation in C programming, covering essential concepts, practical examples, and best practices to help you unlock the basics and start your programming journey.The

Why Learn C?

Before diving into the tutorial, it’s important to understand why learning C is beneficial:

Foundation for Other Languages: C serves as a stepping stone to learning other programming languages. Understanding C concepts will make it easier to grasp languages like C++, Java, and C#.

Performance and Efficiency: C is known for its speed and efficiency, making it ideal for system-level programming and applications where performance is critical.

Portability: C programs can be compiled and run on various platforms with minimal changes, making it a versatile choice for developers.

Rich Libraries: C has a vast collection of libraries that provide pre-written code for common tasks, speeding up the development process.

Strong Community Support: With decades of history, C has a large community of developers, providing ample resources, forums, and documentation for learners.

Getting Started with C Programming

1. Setting Up Your Development Environment

To start programming in C, you need to set up a development environment. Here’s how:

Choose a Compiler: Popular C compilers include GCC (GNU Compiler Collection) for Linux and MinGW for Windows. You can also use IDEs like Code::Blocks, Dev-C++, or Visual Studio.

Install the Compiler: Follow the installation instructions for your chosen compiler. Ensure that the compiler is added to your system’s PATH for easy access.

Choose a Text Editor or IDE: You can write C code in any text editor (like Notepad++ or Sublime Text) or use an Integrated Development Environment (IDE) for a more user-friendly experience.

2. Writing Your First C Program

Let’s start with a simple "Hello, World!" program to familiarize you with the syntax:#include <stdio.h> int main() { printf("Hello, World!\n"); return 0; }

Explanation:

#include <stdio.h>: This line includes the standard input-output library, allowing you to use functions like printf.

int main(): This is the main function where the program execution begins.

printf("Hello, World!\n");: This line prints "Hello, World!" to the console.

return 0;: This indicates that the program has executed successfully.

3. Understanding C Syntax and Structure

C has a specific syntax that you need to understand:

Variables and Data Types: C supports various data types, including int, float, char, and double. You must declare variables before using them.

int age = 25; float salary = 50000.50; char grade = 'A';

Operators: C provides arithmetic, relational, logical, and bitwise operators for performing operations on variables.

Control Structures: Learn about conditional statements (if, else, switch) and loops (for, while, do-while) to control the flow of your program.

4. Functions in C

Functions are essential for organizing code and promoting reusability. Here’s how to define and call a function:#include <stdio.h> void greet() { printf("Welcome to C Programming!\n"); } int main() { greet(); // Calling the function return 0; }

5. Arrays and Strings

Arrays are used to store multiple values of the same type, while strings are arrays of characters. Here’s an example:#include <stdio.h> int main() { int numbers[5] = {1, 2, 3, 4, 5}; char name[20] = "John Doe"; printf("First number: %d\n", numbers[0]); printf("Name: %s\n", name); return 0; }

6. Pointers

Pointers are a powerful feature in C that allows you to directly manipulate memory. Understanding pointers is crucial for dynamic memory allocation and data structures.#include <stdio.h> int main() { int num = 10; int *ptr = &num; // Pointer to num printf("Value of num: %d\n", *ptr); // Dereferencing the pointer return 0; }

7. Structures and Unions

Structures allow you to group different data types under a single name, while unions enable you to store different data types in the same memory location.#include <stdio.h> struct Student { char name[50]; int age; }; int main() { struct Student student1 = {"Alice", 20}; printf("Student Name: %s, Age: %d\n", student1.name, student1.age); return 0; }

Best Practices for C Programming

Comment Your Code: Use comments to explain complex logic and improve code readability.

Use Meaningful Variable Names: Choose descriptive names for variables and functions to make your code self-explanatory.

Keep Code Organized: Structure your code into functions and modules to enhance maintainability.

Test Your Code: Regularly test your code to catch errors early and ensure it behaves as expected.

Conclusion

Learning C programming is a rewarding journey that opens doors to various fields in software development. By following this comprehensive tutorial, you’ve unlocked the basics of C and gained the foundational knowledge needed to explore more advanced topics.

As you continue your programming journey, practice regularly, build projects, and engage with the C programming community. With dedication and persistence, you’ll become proficient in C programming and be well-equipped to tackle more complex challenges in the world of software development.

Ready to dive deeper? Explore advanced topics like memory management, file handling, and data structures to further enhance your C programming skills! Happy coding with Tpoint-Tech!

[projectsforstudents]

Best Python Courses in Tirupati

Start your career in programming is one of the best choice had ever taken in your life. Then if you want to work with a strong yet easily learned programming language Python Course would be the one for you. Being among the topmost widely used computer languages in the world, it has applications in various areas like web development, software engineering, data science, automation, AI, etc. If you are from Tirupati and if you wish to learn Python from scratch, then Takeoff Upskill offers the best Python courses in nearby you.

Why Should You Learn Python?

Python is well known and widely used because of its clear and simple syntax. Provided you have no previous knowledge of any kind of programming, you should be capable of learning it all by yourself. It is considered a High-Level language that allows programmers to write clear and easy-to-read code. It is also incredibly flexible hence, you could use it to build websites, create applications, analyze data and automate tasks. Having been used by such big companies as Google, Facebook, YouTube, Instagram, etc. it is one of the best choices for a Data Scientist and a Machine Learning Engineer to get acquainted with. Learning Python will definitely give you many possible jobs in the IT field and further build a strong and successful career.

Why is Takeoff Upskill the Best Choice in Tirupati?

Takeoff Upskill is a trusted and reputed training institute in Tirupati. Among many professional courses it offers, the Python training programs are at the top in demand from students and professionals alike. Our course is for complete beginner, as well as for anyone who feels they want to upgrade their Python skills.

We at Takeoff Upskill take both theory and practical into account. Our belief is that learning the concepts are not enough, you also have to apply them in real-life project work. Hence comes the huge thrust on the hands-on project work so that you walk away with practical knowledge and confidence.

What is covered in Our Python Program?

The Python course is a step-by-step process covering all important topics. You will learn:

Introduction to Python and its features

Installing and setting up Python

Variables, data types and operators

Conditional statements-if, else and elif

Loops (for) and (while)

Functions and modules

Object-oriented programming concepts

Python file handling

Error and exception handling

Working with some of the most popular libraries such as NumPy, Pandas and Matplotlib

Basic techniques for data analysis and automation

Real-time mini projects and assignments

Conclusion:

Learning Python Course is a smart decision for anyone who aims to enter the IT world. It is easy, powerful and highly look for after. If you are in tirupati and want to learn Python from the best institution available, then Takeoff Upskill is the perfect choice for you. Under the guidance of experts, the practical training we have to offer combined with the placement support shall help you land your very own dream job in IT. Enroll at Upskill now and the seed to make your programming career grow will be soon.