#Types of Inheritance in Python

[hiding-under-the-willow]

You ever write some shit where you're like 'oh yeah I'm totally just describing what this guy is doing in his free time nothing else im just setting the scene it's unnecessarily detailed for no particular reason' and then realize you are in fact just info dumping about some shit you are interested in actually

[bintuharwani]

Hybrid inheritance in python | Python for beginners full course #24

[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

[intercal]

just finished the jlox section of Crafting Interpreters

I haven't actually tried to run my interpreter with the class inheritance bits but I do have Some Thoughts about Crafting Interpreters so far:

it's a really good book. I wish I had this however long ago when I started getting interested in compilers and programming language design.

there are a lot of nuggets of wisdom, but to me it feels like the author really likes Ruby and Javascript

I'm surprised he didn't bring up Dart more often, because I'm pretty sure he was heavily involved in its development

he brings up Python often but I think he has not really written much Python. I've complained about he literally just lied about something in Python and then contradicted himself in the very next paragraph. I think he probably googled a lot of stuff about "how to do X in python" and then wrote as if he knew what he was talking about

this dude has got to start learning when to use "else" and "else if" statements. I'm serious, man. I'll teach you how if you're scared

he has an interesting way of writing parsers. normally in a recursive descent parser you will have a function for each grammar rule, like "void expr() { ... }" and "void binaryExpr() { ... }" and "void stmt() { ... }" and "void ifStmt { ... }". and he does this, but each of these is called assuming that all lookaheads have been consumed before calling the function. for example, in the ifStmt production, he will have called "match(IF); match(LPAREN);", and the ifStmt production will start out immediately trying to parse the if expression. maybe I will try writing a parser this way.

also, he grabs all of the tokens at once and shoves them in an array to traverse. this makes sense and makes things easier, I think I usually try to be too clever and write an iterator over tokens and maybe a peek() function with a lookahead or two. but he also has the previous() function available and that is super useful too.

his control flow feels weird sometimes. he'll often do a check of like, "if(method != null) { return method}; throw new RuntimeError("expected a method");" when instead it'd probably make more sense to invert it. it'd be easier to demonstrate what I'm talking about if TUMBLR HAD FUCKING CODE FORMATTING.

anyway overall I'd say this book is 4.5 stars out of 5 so far. not flawless but very much worth your time if you want to get into the world of compilers. I am going to take a small break and then get started working on the clox interpreter. I am very scared to see the type of C that this man will make me write

[computerlanguages]

Computer Language

Computer languages, also known as programming languages, are formal languages used to communicate instructions to a computer. These instructions are written in a syntax that computers can understand and execute. There are numerous programming languages, each with its own syntax, semantics, and purpose. Here are some of the main types of programming languages:

1.Low-Level Languages:

Machine Language: This is the lowest level of programming language, consisting of binary code (0s and 1s) that directly corresponds to instructions executed by the computer's hardware. It is specific to the computer's architecture.

Assembly Language: Assembly language uses mnemonic codes to represent machine instructions. It is a human-readable form of machine language and closely tied to the computer's hardware architecture

2.High-Level Languages:

Procedural Languages: Procedural languages, such as C, Pascal, and BASIC, focus on defining sequences of steps or procedures to perform tasks. They use constructs like loops, conditionals, and subroutines.

Object-Oriented Languages: Object-oriented languages, like Java, C++, and Python, organize code around objects, which are instances of classes containing data and methods. They emphasize concepts like encapsulation, inheritance, and polymorphism.

Functional Languages: Functional languages, such as Haskell, Lisp, and Erlang, treat computation as the evaluation of mathematical functions. They emphasize immutable data and higher-order functions.

Scripting Languages: Scripting languages, like JavaScript, PHP, and Ruby, are designed for automating tasks, building web applications, and gluing together different software components. They typically have dynamic typing and are interpreted rather than compiled.

Domain-Specific Languages (DSLs): DSLs are specialized languages tailored to a specific domain or problem space. Examples include SQL for database querying, HTML/CSS for web development, and MATLAB for numerical computation.

3.Other Types:

Markup Languages: Markup languages, such as HTML, XML, and Markdown, are used to annotate text with formatting instructions. They are not programming languages in the traditional sense but are essential for structuring and presenting data.

Query Languages: Query languages, like SQL (Structured Query Language), are used to interact with databases by retrieving, manipulating, and managing data.

Constraint Programming Languages: Constraint programming languages, such as Prolog, focus on specifying constraints and relationships among variables to solve combinatorial optimization problems.

[shemsuji432]

Tips for the Best Way to Learn Python from Scratch to Pro

Python, often regarded as one of the most beginner-friendly programming languages, offers an excellent entry point for those looking to embark on a coding journey. Whether you aspire to become a Python pro or simply want to add a valuable skill to your repertoire, the path to Python proficiency is well-paved. In this blog, we’ll outline a comprehensive strategy to learn Python from scratch to pro, and we’ll also touch upon how ACTE Institute can accelerate your journey with its job placement services.

1. Start with the basics:

Every journey begins with a single step. Familiarise yourself with Python’s fundamental concepts, including variables, data types, and basic operations. Online platforms like Codecademy, Coursera, and edX offer introductory Python courses for beginners.

2. Learn Control Structures:

Master Python’s control structures, such as loops and conditional statements. These are essential for writing functional code. Sites like HackerRank and LeetCode provide coding challenges to practice your skills.

3. Dive into Functions:

Understand the significance of functions in Python. Learn how to define your functions, pass arguments, and return values. Functions are the building blocks of Python programmes.

4. Explore Data Structures:

Delve into Python’s versatile data structures, including lists, dictionaries, tuples, and sets. Learn their usage and when to apply them in real-world scenarios.

5. Object-Oriented Programming (OOP):

Python is an object-oriented language. Learn OOP principles like classes and objects. Understand encapsulation, inheritance, and polymorphism.

6. Modules and Libraries:

Python’s strength lies in its extensive libraries and modules. Explore popular libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation.

7. Web Development with Django or Flask:

If web development interests you, pick up a web framework like Django or Flask. These frameworks simplify building web applications using Python.

8. Dive into Data Science:

Python is a dominant language in the field of data science. Learn how to use libraries like SciPy and Scikit-Learn for data analysis and machine learning.

9. Real-World Projects:

Apply your knowledge by working on real-world projects. Create a portfolio showcasing your Python skills. Platforms like GitHub allow you to share your projects with potential employers.

10. Continuous learning:

Python is a dynamic language, with new features and libraries regularly introduced. Stay updated with the latest developments by following Python communities, blogs, and podcasts.

The ACTE Institute offers a structured Python training programme that covers the entire spectrum of Python learning. Here’s how they can accelerate your journey:

Comprehensive Curriculum: ACTE’s Python course includes hands-on exercises, assignments, and real-world projects. You’ll gain practical experience and a deep understanding of Python’s applications.

Experienced Instructors: Learn from certified Python experts with years of industry experience. Their guidance ensures you receive industry-relevant insights.

Job Placement Services: One of ACTE’s standout features is its job placement assistance. They have a network of recruiting clients, making it easier for you to land a Python-related job.

Flexibility: ACTE offers both online and offline Python courses, allowing you to choose the mode that suits your schedule.

The journey from Python novice to pro involves continuous learning and practical application. ACTE Institute can be your trusted partner in this journey, providing not only comprehensive Python training but also valuable job placement services. Whether you aspire to be a Python developer, data scientist, or web developer, mastering Python opens doors to diverse career opportunities. So, take that first step, start your Python journey, and let ACTE Institute guide you towards Python proficiency and a rewarding career.

I hope I answered your question successfully. If not, feel free to mention it in the comments area. I believe I still have much to learn.

If you feel that my response has been helpful, make sure to Follow me on Tumblr and give it an upvote to encourage me to upload more content about Python.

Thank you for spending your valuable time and upvotes here. Have a great day.

[solusidigital21]

Belajar Bahasa Pemrograman PHP Untuk Pemula

Bahasa Pemrograman

In my quest to find the perfect bootstrap builder, I've tried out a few options. I checked the community forum for this issue but couldn't find it. GulpJS technologies, and provides an extended license for using them an unlimited number of times in an unlimited number of projects! This template is free to use, distribute, and edit for commercial projects. In practice, government households continue to strive to create a just and equitable economy for all levels of society. Similar to household consumers, household producers must also support a proportional fiscal burden for the government. This would allow you to place an image - commonly a transparent PNG for a branding image or logo - over the background picture, aligned with the text (left/center/right). This would enable you to choose a backdrop image or color layer (with configurable overlay) but then cut and paste any user code into the block's next higher layer.

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Ini berguna untuk mengembangkan server-side web ketika suatu website membutuhkan informasi dari server. Atas dasar usia 15 tahun sudah diperkenalkan teknologi komputer dan usia 15 tahun ini ada di bangku Sekolah Menengah Pertama atau kelas 9. Pembagian segmentasi, target audien dan posisi interaktif sangat diperhatikan agar interaktif yang akan dihasilkan bisa sesuai dengan kondisi masyarakat sekitar, yang secara tidak langsung dapat membuat Website lebih efisien dalam proses pengerjaan. Python adalah salah bahasa pemrograman tingkat tinggi yang sangat populer. Bahasa pemrograman Typescript memiliki karakter tambahan fitur strong-typing dan konsep pemrograman OOP klasik (class, interface). MATLAB banyak digunakan dalam industri visi komputer dan juga dalam industri grafis. IDCloudhost menyediakan layanan Web Hosting Terbaik dengan kemudahan transaksi dalam pembelian, seperti beli domain, beli hosting, dan membeli layanan IDCloudhost dengan berbagai pilihan metode pembayaran. Menggunakan JavaScript dapat membantu Anda membuat situs web yang menarik dan interaktif. 7. JavaScript JavaScript sudah ada sejak tahun 1994. Kala itu internet dan web mulai berkembang pesat. IDCloudHost menggunakan Teknologi seperti Solid-State Drive (SSD), Litespeed, Cloudflare, Cloudlinux, dan lainnya sebagai jaminan untuk kebutuhan Anda yang maksimal. Python sering digunakan untuk mengembangkan berbagai aplikasi, termasuk layanan keuangan, data science, dan banyak lainnya. CD sebagai penampung data dari Website, dengan desain cover yang minimalis, menyederhanakan sebuah visi misi dari Keyna Galeri dengan menonjolkan sisi streamline dan kubis.

Sampul CD adalah tempat untuk menyimpan CD dan melindungi CD dengan desain yang terbagi 2 bagian, tampak depan dan belakang. 2.2.6.5.b Koneksi PHP dengan MySQL Untuk menggabungkan bahasa pemograman PHP dan MySQL dibutuhkan beberapa perintah khusus, yaitu : 1. Pembuatan koneksi antara server dari MySQL dengan web server tempat menyimpan halaman web, perintahnya : ? Sehingga kalau kamu kesulitan, tidak perlu kepentok sendirian karena banyak komunitas tempat pejuang Python belajar bareng. Selain mudah dimengerti, pemakaian Python juga sangat populer. Pemrograman web adalah bidang yang sejak dulu sangat menjanjikan untuk dipelajari. Dalam aktivitas ekonomi, kertas konsumen rumah tangga sangat penting. Dalam beberapa hal, apa yang Anda ketahui sebagai konsumen adalah sekelompok orang atau orang yang melakukan aktivitas konsumen. Hal ini bertujuan agar animasi atau aplikasi interaktif dapat digunakan di media komputer atau laptop, tanpa kendala perbedaan sistem operasi. Saat ini java merupakan bahasa pemrograman yang paling populer digunakan, dan secara luas dimanfaatkan dalam pengembangan berbagai jenis perangkat lunak aplikasi ataupun aplikasi berbasis web. Mengontrol tingkat harga dan inflasi. OS Unix, tapi kemudian mulai dibangun efisiensi dan sistem dukungan untuk pemrograman tingkat rendah (low level coding) hingga dapat berfungsi dengan maksimal sebagai bahasa pemrograman berorientasi objek. Berikut adalah beberapa fungsi rumah tangga pemerintah dalam kegiatan ekonomi suatu negara: Meningkatkan pertumbuhan dan pembangunan lapangan kerja.

Berbagai kebijakan yang diterapkan antara lain kebijakan fiskal, kebijakan moneter, dan kebijakan ekonomi internasional. Bertindak sebagai penyedia dan pemohon Menggunakan hasil pajak untuk membangun fasilitas umum. Sebagai produsen, peran rumah tangga pemerintah adalah memproduksi barang atau jasa untuk memenuhi kepentingan umum. Dari orang-orang yang terlibat sebagai organisasi atau pengusaha putra aktor ekonomi yang mewujudkan kegiatan ekonomi dalam bentuk produksi, konsumsi, dan distribusi. Sama seperti Python, Javascript adalah bahasa pemrograman tingkat tinggi yang populer dan banyak digunakan berbagai bidang organisasi. Pelaku ekonomi juga dapat menafsirkan sebagai orang atau organisasi yang memengaruhi motivasi ekonomi, memutuskan, memproduksi, membeli, atau menjual. Jika Anda tertarik dalam pengembangan web, apakah Anda lebih suka bekerja di bagian depan (front end) atau belakang (back end)? PHP sering dianggap sebagai bahasa pemrograman back end, yang artinya ia kurang lebih dipakai untuk menangani interkoneksi antara server dan data daripada menangani keseluruhan tampilan/GUI (front end).

Post Previous Programmer adalah profesi paling menjanjikan di tahun 2024-2025. Next Post FIK-IT UMSU-UNIMAP Mahasiswa bisa transfer poin Setelah teknologi yang kita gunakan sehari-hari telah tercipta dalam sistem yang kompleks dan menarik. Pascal ditemukan oleh Nicklaus Wirth tahun 1971. Bahasa ini awalnya dibuat untuk pengajaran pemrograman. Artikel ini menjelaskan pengertian, fungsi, hingga contoh bahasa pemrograman yang sering digunakan di Indonesia. Objective - C merupakan Bahasa pemrograman yang sering digunakan pada perangkat lunak atau software pada sebuah perangkat keras. Dimana, ruby memiliki peranan sebagai penggabung berbagai Bahasa pemrograman atau coding - coding yang ada pada suatu proyek pengembangan. Bahasa pemrograman dasar adalah bahasa yang dekat dengan kode mesin atau bahasa komputer asli. Bahasa pemrograman tingkat rendah adalah bahasa yang dekat dengan kode mesin atau bahasa asli komputer. Maka dari itu, tidak mengherankan jika bahasa pemrograman SAS menjadi salah satu yang terkenal pada waktu itu. Keluaran atau hasil dari bahasa pemrograman adalah sistem operasi, aplikasi desktop, aplikasi mobile, website, bahkan perangkat teknologi yang biasa kamu gunakan sehari-hari seperti ponsel. Produksi barang atau jasa dilakukan oleh instansi pemerintah yaitu BUMN. PHP diciptakan oleh Rasmus Lerdorf pertama kali tahun 1994. Pada awalnya PHP adalah singkatan dari "Personal Home Page Tools".

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[grison-in-space]

Fun fact: the genetic mutation that distinguishes wet from dry earwax is the only truly single locus Mendelianly inherited trait in humans that can be quickly and easily phenotyped in a classroom without having to get blood out of anyone.

Everything else is either actually multilocus, actually entirely non-genetic (tongue curls fall into this category, it's just a learned movement), actually has multiple genetic causes of the "same" phenotype, or some godawful combination of these.

All that being said, you really don't want to tell children that their genotype at some point means that they're biologically incapable of being the child of their parents. If the kid is adopted, genetics class is not the best place to find that out. If the kid is NOT adopted, you have two possible options: either you're right and you've adequately identified that kid can't be Mom's kid with Dad... so she slept with someone else to produce it, or you're wrong and you've introduced one hell of a relationship time bomb for that kid's parents for no reason whatsoever.

For the love of fuck, just teach them using cats or dogs or ball pythons or whatever. Or human examples that you can't necessarily quickly genotype just by looking, like blood type. There are any manner of engaging examples!

Hell, you could even just follow @blueelectricangels ' example and use extramarital Muppet progeny:

You think the kids are going to forget that anytime soon? I certainly won't!

As a doctor, do you have any hygiene tips you think most people could use hearing? Like things people seem to neglect or do wrong that pop up and cause problems? Thanks!

EARS. Earwax is genetically determined. Some people get dry, scant earwax and others get wet, copious earwax. The biggest mistake I see is relying on Q-tips. Every time you stimulate the inside of your ear canal it makes your ears go “oh shit, there’s a threat! I better make more protective wax!” and next thing you know you’ve managed to jam a bunch of wax you told you ears to make back up against your ear drums and you can’t hear as well. Don’t rely on Q-tips. When you’re in the shower, let warm water run in, mush it around by pushing on your tragus (the cartilage flap in front of the canal), and let it drain. Repeat. Blot dry your ears with the edge of a towel or a Kleenex or something afterwards. If you tend to get really stubborn wax, use Debrox drops once or twice a week.

And vaginas. They’re mucus membranes once you get past the labia majora! You wouldn’t soap the inside of your mouth, don’t soap your vagina! It’s a self cleaning oven and if it smells weird GO SEE A MEDICAL PROVIDER because over the counter shit probably isn’t the right answer.

Dandruff isn’t because your scalp is dry. It’s because of a microorganism called malassezia furfur. It eats scalp oils. Dandruff shampoos mostly work pretty well.

Those are the three I can think of off the top of my head. Never use Irish Spring soap! It’s so heavily fragranced it’s a contact dermatitis waiting to happen! I once had a guy develop full body itching and I was JOKING when I said “what, did you just switch to Irish Spring?” and from then until he died he was convinced I was a witch because I was RIGHT.

[atplblog]

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[proacademys]

Best Online Python Programming Course by Pro Academys: Master Python with Us

If you're looking to jumpstart your programming career or enhance your coding skills, then Pro Academys is here to help you succeed with the Best Online Python Programming Course available. Python is a versatile and powerful language, widely used in fields like data science, artificial intelligence, web development, and machine learning. At Pro Academys, we offer the most comprehensive and practical Best Online Python Programming Course designed to help learners of all levels, from beginners to advanced coders, become proficient in Python.

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At Pro Academys, we understand that learning Python can open doors to various career opportunities, making it essential to receive high-quality training. Our Best Online Python Programming Course is structured to provide in-depth knowledge and hands-on experience, ensuring you not only understand the theory but can also apply what you’ve learned to real-world projects. Whether you're a student looking to build your portfolio or a professional seeking to enhance your skill set, Pro Academys offers the Best Online Python Programming Course tailored to meet your needs.

Course Structure and Content

The Best Online Python Programming Course by Pro Academys is meticulously designed, covering all fundamental and advanced Python topics. The course is split into several modules, each focusing on key areas such as:

Introduction to Python: Learn the basics of Python programming, including syntax, variables, data types, and basic operators.

Control Structures: Master control flow in Python through loops, conditional statements, and functions.

Data Structures: Gain expertise in working with lists, tuples, dictionaries, and sets to handle complex data efficiently.

Object-Oriented Programming (OOP): Understand the principles of OOP and how to implement classes, objects, inheritance, and polymorphism in Python.

File Handling: Learn how to read from and write to files in Python, a crucial skill for working with data.

Error Handling and Debugging: Understand how to handle exceptions and debug your code efficiently.

Modules and Libraries: Explore Python’s vast ecosystem of libraries such as NumPy, Pandas, Matplotlib, and more.

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Python for Data Science: Dive deep into how Python is used in data analysis and visualization.

Throughout this Best Online Python Programming Course, Pro Academys ensures that learners are provided with interactive exercises, real-world projects, and assignments that challenge and enhance their coding abilities.

Benefits of the Best Online Python Programming Course by Pro Academys

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The Best Online Python Programming Course by Pro Academys is perfect for:

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[unicodetechnologies]

Software testing is a good option for adopting as a career. We tell you here some information of software testing. You can get here information about the future scope of software testing

What is python

Python is a high-level, object oriented programming language that is dynamically typed. It is simple and has fairly easy syntax, yet very powerful, making it one of the most popular programming languages for various applications.

What are the key features of Python

Python is an interpreted language. This means that codes are interpreted line by line and not compiled as is the case in C. See an example below.

print('This will be printed even though the next line is an error') Print()#this should return an error

Output:>

This will be printed even though the next line is an error

Traceback (most recent call last): File "< ipython-input-21-1390f7d30421 >", line 2, in < module >Print() NameError: name 'Print' isnot defined

As seen above, the first line was printed, then the second line returned the error.

Python is dynamically typed: This means that the variable type does not have to be explicitly stated when defining a variable and these variables can be changed at any point in time. In Python, the line of code below works perfectly.

x = 3 #this is an integer

x = ‘h2kinfosys’ #this is a string

x has been dynamically changed from an integer to a string

Everything in Python is an object. Python supports Object Oriented Programming (OOP) and that means you can create classes, functions, methods. Python also supports the 3 key features of OOP – Inheritance, Polymorphism and Encapsulation.

Python is a general-purpose language. Python can be used for various applications including web development, hacking, machine learning, game development, test automation, etc

[rohitdigital1001]

Mastering Python Programming at DICS Innovatives

Whether you’re a beginner looking to start your programming journey or an experienced developer aiming to expand your skill set, Python offers a rich ecosystem that can cater to various needs. In this blog, we'll explore the essentials of Python programming and highlight a reputable Python programming institute in Pitampura.

What is Python?

Python is an interpreted, high-level, and general-purpose programming language. It was created by Guido van Rossum and was first released in 1991. Known for its clean syntax and readability, Python enables developers to write code that is Python Training Institute in Pitampura easy to understand and maintain. It supports multiple programming paradigms, including procedural, object-oriented, and functional programming.

Why Learn Python?

High Demand: Python developers are in high demand across various industries, including tech, finance, healthcare, and education.

Career Opportunities: Proficiency in Python can open doors to roles such as data analyst, software developer, web developer, and machine learning engineer.

Versatile Applications: From building web applications to data science and automation, Python can be applied in numerous domains.

Strong Community: Learning Python means joining a supportive community that offers resources, tutorials, and forums for help.

Key Concepts in Python Programming

Variables and Data Types: Understanding how to define variables and the different data types (integers, floats, strings, lists, tuples, dictionaries) is fundamental in Python.

Control Structures: Learn how to use conditional statements (if, elif, else) and loops (for and while) to control the flow of your programs.

Functions: Functions are reusable blocks of code that perform specific tasks. Learning how to define and call functions is crucial.

Object-Oriented Programming (OOP): Python supports OOP principles such as classes, objects, inheritance, and polymorphism, which help in organizing code effectively.

File Handling: Learn how to read from and write to files, which is essential for data manipulation.

Error Handling: Understand how to handle exceptions and errors gracefully using try and except statements.

Libraries and Frameworks: Familiarize yourself with popular libraries like NumPy for numerical computations, Pandas for data manipulation, and Flask or Django for web development.

Python Programming Institute in Pitampura

For those looking to gain a solid foundation in Python, enrolling in a reputable Python programming institute in Pitampura can be highly beneficial. One such institute is Python Institute in Pitampura at DICS Innovatives, known for its comprehensive curriculum and experienced instructors. Here’s what you can expect:

Structured Curriculum: The course covers all essential topics, from basics to advanced concepts, ensuring a well-rounded understanding of Python.

Practical Projects: Engage in practical projects that allow you to apply your knowledge and build a portfolio.

Experienced Trainers: Learn from industry professionals with real-world experience who can provide insights and tips.

Flexible Learning Options: Choose from various formats, including classroom sessions, online courses, and weekend batches to accommodate your schedule.

Certification: Receive a certificate upon completion, enhancing your employability in the job market.

Conclusion

Python programming is not just a valuable skill; it is a gateway to numerous career opportunities in technology and beyond. By understanding its key concepts and enrolling in a respected Python programming institute in Pitampura, you can set yourself up for success in this dynamic field. Whether you're aiming to develop web applications, analyze data, or venture into artificial intelligence, Python has the tools you need to thrive.

Start your Python journey today and unlock a world of possibilities!

[learning-code-ficusoft]

Understanding Python’s OOP Concepts: Classes, Objects, and Inheritance

Python OOP Concepts

 I’ve created a comprehensive diagram showing Python’s key OOP concepts: 

Class Definition (Blue Section): 

Shows how to define a base Animal class Includes constructor (init) and a method (speak) Demonstrates attribute initialization Object Creation (Green Section): 

Shows how to create instances of a class Demonstrates accessing object attributes Includes example output Inheritance (Orange Section):

 Shows two child classes (Dog and Cat) inheriting from Animal Demonstrates method overriding with speak() Shows how each child class implements its own behavior The diagram uses: 

Color coding to separate different concepts Syntax highlighting for code readability Arrows to show inheritance relationships Clear sections for each major concept Would you like me to explain any particular aspect in more detail or modify the visualization?

Here’s a clear, friendly explanation of Python’s OOP concepts:

 Understanding Python’s OOP: 

A Beginner’s Guide Python’s Object-Oriented Programming (OOP) is like working with digital blueprints. 

Let me break it down with simple examples: 

Classes — The Blueprint pythonCopyclass Dog:

def __init__(self, name, age): 

self.name = name self.age = age def bark(self):

 return f”{self.name} 

says Woof!” Think of a class as a blueprint that defines what properties and behaviors your object will have. 

Here, every dog will have a name, age, and ability to bark.

 Objects — The Creation python

my_dog = Dog(“Buddy”, 

3) print(my_dog.name) 

# Outputs: Buddy print(my_dog.bark())

 # Outputs: 

Buddy says Woof! Objects are instances of classes — like actual dogs created from your dog blueprint. 

Each object has its own set of the properties defined in the class. 

Inheritance — The Family Tree pythonCopyclass Puppy(Dog):

 def __init__(self, name, age, training_level): 

super().__init__(name, age) self.training_level = training_level

 def bark(self): 

return f”{self.name} says Yip!” 

Inheritance lets you create specialized versions of classes. 

Here, Puppy is a type of Dog with extra features. 

It inherits all Dog’s abilities but can also have its own unique properties and can override existing methods. 

Key Benefits: Code reusability:

 Write once, use many times Organization: 

Keep related data and functions together Modularity: 

Easy to modify one part without affecting others

[infominescyber]

Python Roadmap

Embark on Your Python Learning Journey: Master Python Step by Step! 🌟

Hello aspiring developers, tech enthusiasts, and future Python pros! 🐍💻

Are you eager to dive into the world of programming? Whether you're a complete beginner or looking to enhance your coding skills, I’ve got exciting news for you!

I’m launching a comprehensive Python learning series on YouTube, aimed at taking you from zero to Python hero! Whether you’re learning for web development, data science, automation, or just to broaden your programming knowledge, Python is a powerful, versatile language you must master. 🎉

Python is the go-to programming language for various applications, from web development and data analysis to machine learning and AI. But let's be honest—it can be overwhelming to know where to start. That’s why I’ve put together this roadmap to guide you through the learning process in a structured, easy-to-understand way. 💡

🛤️ The Ultimate Python Learning Roadmap

Here’s the detailed structure of this series, designed to make your Python journey enjoyable, practical, and hands-on. We’ll break down each topic step by step, so you can understand and master Python, one lesson at a time.

1️⃣ Starting with the Basics: Laying the Foundation

Introduction to Python: Learn why Python is one of the most popular and easy-to-learn programming languages today.

Setting Up Your Python Environment: Step-by-step guide to installing Python and setting up your IDE.

Your First Python Program: Get started by writing and running your very first Python script.

Variables and Data Types: Understand different data types (int, float, string) and how to use them in your programs.

2️⃣ Core Python Concepts: Dive Deeper into Python

Operators: Master arithmetic, comparison, and logical operators.

Control Flow: Learn about if statements, loops, and how to control the flow of your program.

Functions: Discover how to define and call functions for cleaner, reusable code.

Lists, Tuples, and Dictionaries: Work with Python’s built-in data structures for storing and managing data.

3️⃣ Intermediate Python Skills: Making Progress

Error Handling: Learn how to catch and handle errors to make your programs robust.

Modules and Libraries: Explore Python’s vast ecosystem of libraries, such as math, datetime, and os, to extend your program’s functionality.

File Handling: Learn how to read and write files in Python for real-world applications.

4️⃣ Advanced Python Techniques: Leveling Up

Object-Oriented Programming (OOP): Understand the core concepts of OOP—classes, objects, inheritance, and more.

Regular Expressions: Master text manipulation and pattern matching using regular expressions.

Python for Web Development: Introduction to web frameworks like Flask and Django.

Data Science with Python: Get a brief introduction to popular libraries like pandas, matplotlib, and seaborn for data analysis and visualization.

5️⃣ Real-World Projects: Build as You Learn

Project 1 - To-Do List Application: Start with a simple Python project to practice your skills by building a to-do list application.

Project 2 - Weather App: Develop a Python weather app by integrating APIs to fetch weather data.

🎯 Why You Should Follow This Python Series

Beginner-Friendly: Whether you're completely new to coding or just starting with Python, this series breaks down the concepts step by step.

Hands-On Learning: Each video will guide you through practical examples and coding exercises to help you learn by doing.

Real-World Applications: You won’t just learn syntax—you’ll build useful projects that you can showcase in your portfolio.

Comprehensive Coverage: From Python basics to advanced topics like web development and data science, this series has it all.

Simple & Engaging: I’ll explain even the most complex topics in simple, relatable language to ensure you’re never lost.

📅 What’s Next?

I’ll be releasing two videos every week, so you can learn at your own pace. Each video will cover a specific topic, and by the end of the series, you’ll have a solid grasp of Python and be able to tackle real-world problems with confidence.

👉 Subscribe to my YouTube channel now to get notified about new video releases: Subscribe to my YouTube channel

👉 Have any questions or suggestions? Drop them in the comments—I’m here to help and engage with you!

🚀 Ready to Dive In?

So, whether you’re starting your Python journey or sharpening your existing skills, this series has something for everyone. Grab your laptop, unleash your curiosity, and let’s master Python together, step by step. The adventure is just beginning!

[thebodyaura]

Python Course In Cochin

🚀 Python Course in Cochin: Boost Your Career with Zoople Technologies

In today’s tech-driven world, Python is the go-to programming language for those looking to excel in industries like data science, web development, machine learning, and AI. Its simple syntax, versatility, and vast array of applications make Python a must-learn language for tech enthusiasts.

If you're ready to unlock your career potential, Zoople Technologies in Cochin offers the best Python course that will help you master the language and boost your career. Here’s why you should choose Zoople for your Python training:

🌟 Why Learn Python?

High Demand: Python is among the most sought-after programming languages worldwide, with companies across various industries looking for skilled Python developers.

Endless Applications: From building websites and automating tasks to analyzing data and creating machine learning models, Python is incredibly versatile and widely used in the tech industry.

Easy to Learn: Python’s readable syntax makes it beginner-friendly, perfect for those new to programming while still powerful enough for advanced developers.

Great Career Prospects: Mastering Python opens doors to high-paying job roles such as software developer, data scientist, machine learning engineer, and more.

📍 Why Cochin?

Emerging Tech Hub: Cochin is rapidly growing as a tech hub, with a booming IT sector and a rising demand for Python developers. The city is home to numerous startups and established companies actively seeking skilled developers.

Affordable Living: Cochin offers a more affordable living compared to other metropolitan cities, making it an ideal location for students to live and learn.

Networking Opportunities: With the growing tech community, Cochin offers ample opportunities to network with industry professionals and connect with potential employers.

🏫 Why Choose Zoople Technologies?

Zoople Technologies is the leading Python course provider in Cochin, offering a comprehensive curriculum, experienced instructors, and a hands-on approach to learning. Here’s what makes Zoople Technologies the best choice:

Flexible Course Duration: The course can be completed in 3 to 6 months, making it ideal for both full-time students and working professionals. Zoople offers flexible scheduling options to fit your needs.

Comprehensive Curriculum: The course covers everything from Python basics to advanced topics like web development with Flask and Django, data analysis with Pandas and Matplotlib, machine learning with Scikit-learn, and more. Here are a few curriculum highlights:

Introduction to Python: Syntax, data types, and control structures.

Object-Oriented Programming (OOP): Classes, objects, inheritance, and polymorphism.

Web Development: Learn to build dynamic websites using Flask and Django.

Data Science & Visualization: Get hands-on experience with data analysis and visualization tools.

Machine Learning: Introduction to algorithms and libraries like Scikit-learn.

Hands-On Learning: At Zoople Technologies, you’ll work on real-world projects that give you the practical experience needed to thrive in the tech industry. You'll build a strong portfolio of work to show potential employers.

Expert Trainers: Learn from industry veterans who bring years of real-world experience to the classroom. The instructors at Zoople Technologies are dedicated to helping you master Python and succeed in your career.

Job Placement Assistance: Zoople Technologies offers job assistance to help you land your dream job. They have strong connections with top companies in Cochin and beyond, providing you with valuable opportunities to kick-start your career.

🌟 Get Started Today!

Zoople Technologies in Cochin offers the best Python training that equips you with the skills, knowledge, and confidence to succeed in the tech industry. Whether you're starting fresh or looking to upskill, Zoople’s Python course will help you build a strong foundation and open doors to new career opportunities.

📅 Enroll Today and take your first step toward becoming a Python expert with Zoople Technologies. Don't miss out on the chance to build a successful career in one of the most in-demand fields in tech!

[774]

abstract base class Abstract base classes complement duck-typing by providing a way to define interfaces when other techniques like hasattr() would be clumsy or subtly wrong (for example with magic methods). ABCs introduce virtual subclasses, which are classes that don’t inherit from a class but are still recognized by isinstance() and issubclass(); see the abc module documentation. Python comes with many built-in ABCs for data structures (in the collections.abc module), numbers (in the numbers module), streams (in the io module), import finders and loaders (in the importlib.abc module). You can create your own ABCs with the abc module.

Glossary — Python 3.13.1 documentation