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Script Symphony, Ba Dinh, Hanoi, Quận Ba Đình (2026)

20/09/2023

𝐌𝐨𝐫𝐞 𝐩𝐫𝐨𝐠𝐫𝐚𝐦𝐦𝐞𝐫𝐬, 𝐦𝐨𝐫𝐞 𝐩𝐫𝐨𝐛𝐥𝐞𝐦𝐬

If you’re a programmer, you probably know the problem – you’re stuck wrestling with a software project that's lagging far behind schedule. In this situation, it seems natural to think that throwing more programmers at the issue would do the trick, right? Wrong. It turns out that this is likely to backfire – and might even cause further delays.

This is the wisdom behind Brooks's Law, which proposes just that – scaling up the team size might actually extend the development time, particularly when a project is already off the rails. But what is it about the nature of software development that causes such a conundrum?

The thing is, software projects are two-layered entities. The top layer is what’s known as the essential complexity, or the soul of the problem that needs solving. The bottom layer, on the other hand, is the accidental complexity – the technical underbelly of infrastructure, tools, and interfaces. Initially, your fight is with the accidental complexity. Here, more warriors, or programmers, can be a boon. They can take down the beast faster.

But the battle shifts once you start dealing with the essential complexity. You’re in the realm of ideas, creating elegant algorithms and shaping intricate data structures. It's a process of deep thinking, creativity, and more than a little individual genius.

Now, imagine more people are added to this creative endeavor. The process gets disrupted as you’re forced to divvy up the tasks. The holistic vision gets fragmented like a puzzle, with each new member holding a piece but nobody seeing the full picture anymore. Every new addition also needs mentoring and training, which soaks up the energy that could've been used elsewhere.

So, what's the solution? Brooks has a few suggestions. First, instead of an automatic response of hiring, evaluate the feasibility of the project timeline or scope. Take a comprehensive inventory of the current project status – where exactly does the project stand in relation to the predetermined milestones? Are there specific modules or functionalities that are lagging, or is the delay widespread?

You might also consider performing a risk assessment. Identify any potential bottlenecks or obstacles that might arise in the future. Are there dependencies that could cause further delays? Maybe certain functionalities rely on third-party solutions that aren’t finalized yet.

But say you arrive at the conclusion that a manpower boost is absolutely necessary. If this is the case, then make sure to assimilate members slowly while being careful not to disrupt the existing harmony in your team.

So next time you're staring down a delayed project, pause before you draft in more programmers. Remember, more doesn't always mean faster – especially mid-journey. With careful and mindful additions, your team's velocity can be boosted without sacrificing the hard-won cohesion of the group.

04/09/2023

Python: A Powerhouse of Simplicity with a Thriving Scientific Community

Python, the programming language that redefines simplicity and elegance, stands as a colossus in the realm of coding. With a concise syntax that reads like plain English, Python is the perfect choice for both beginners and seasoned developers.

Simplicity Redefined: Python's hallmark is its simplicity. Code that's not just easy to write, but even easier to read. It's a language where complex algorithms can be expressed in a few lines, where your ideas translate effortlessly into reality.

Thriving Community: Behind every great language is an even greater community. Python boasts one of the most vibrant and supportive developer communities on the planet. Whether you're seeking help, collaboration, or inspiration, Python's community has your back.

Scientific Supremacy: Python isn't just a language; it's a scientific juggernaut. With libraries like NumPy, pandas, and Matplotlib, it powers data analysis, machine learning, and scientific research. It's the language of choice for data scientists and researchers worldwide.

Your Journey Begins: Python isn't just a programming language; it's your passport to the world of coding. It's the language that empowers you to create, innovate, and impact. From web development to artificial intelligence, Python opens doors to endless possibilities.

Join the Python revolution today, where simplicity meets strength and where the world of programming bows to your commands. Your journey begins with Python, and it's a journey worth taking.

When you buy a book from us, you gain more than words on pages; you gain a mentor, a guide, a partner in your learning journey. We're here to connect you with the wisdom you seek.

04/09/2023

Unleash the Future with Flutter: Where Modern Meets Multiverse

- Which Flutter books you are interested in ? -

In a rapidly evolving technological landscape, where platforms are as diverse as our ambitions, one framework stands at the forefront of innovation—Flutter. More than just a toolkit for app development, Flutter is a paradigm shift, a glimpse into the future of cross-platform creation.

Modern Marvel: Flutter is not just another framework; it's a modern marvel. With a single codebase, it crafts apps that are as sleek as they are efficient. Its expressive and reactive interface design sets it apart from the mundane, giving developers the creative freedom they've always craved.

Multiverse Mastery: Today, the tech world is anything but one-dimensional. The advent of Fuchsia, Google's enigmatic operating system, has laid the foundation for the next era of digital experiences. Flutter, with its multiverse adaptability, is poised to lead this charge, offering the promise of creating apps that seamlessly traverse platforms.

Future Forward: To be future-forward is to embrace Flutter. It's not just a framework; it's a philosophy that transcends the boundaries of devices. The apps you build with Flutter today are the apps of tomorrow, ready to conquer new horizons, new platforms, and new possibilities.

Join the Flutter revolution and step into a world where modernity meets the multiverse. Your journey starts here, and the future is Fluttering with possibilities.

04/09/2023

This morning I woke up in my bed, looked at the sunlight coming through the tiny gap in my curtains, and all of a sudden, this great idea came to my mind.

I made a couple of calls to some investors, registered a startup and voilà!
Here I am, all millionaire hipster
with crypto-wallets in every pocket.

Last week I was taking my bath and enjoying salts and smell of essences when all of a
sudden... “Eureka!” I came up with a new law of physics. I went immediately to a global
conference with all the important physicists in the world, spoke in front of all the old and
wise physicists, received a Nobel prize, and became a millionaire.

There are couple of similar points in these two different stories.

First of all, in both
of them, the idea comes “all of a sudden,” second, the person immediately becomes a
millionaire; and third, and most important, both of them are lies.

In this book, we are going to talk about ideas: how do they come to us, how they
are transformed into something empirical, and why and how they bring success.

When you buy a book from us, you gain more than words on pages; you gain a mentor, a guide, a partner in your learning journey. We're here to connect you with the wisdom you seek.

04/09/2023

Are you running after modern technology only to find yourself missing the fundamental insights? Do you aspire to have a deeper understanding, a clarity that goes beyond mere Googling? That's where we come in.

In a world where everyone can access information online, gaining profound knowledge and applying it to real-life challenges requires something more. It requires guidance, mentorship, and the wisdom of seasoned experts. It requires books.

At our bookshop, we don't just send you books; we send you on a journey of self-improvement. Each book is a mentor, each page a lesson. We believe that reading isn't just about acquiring knowledge; it's about gaining a unique perspective, a competitive edge in your field.

When you buy a book from us, you gain more than words on pages; you gain a mentor, a guide, a partner in your learning journey. We're here to connect you with the wisdom you seek.

Welcome to our bookshop, where you'll find more than books; you'll find the keys to unlocking your full potential.

One Great Flutter Books:

04/09/2023

Dear my audiences !

Anybody who has any questions in programming, feel free to ask me.

I would make an effort to answer

Best Regards !

02/09/2023

𝐁𝐮𝐢𝐥𝐝𝐢𝐧𝐠 𝐝𝐢𝐠𝐢𝐭𝐚𝐥 𝐝𝐫𝐞𝐚𝐦𝐬: 𝐜𝐫𝐚𝐟𝐭𝐢𝐧𝐠 𝐰𝐞𝐛 𝐚𝐩𝐩𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬 𝐰𝐢𝐭𝐡 𝐏𝐲𝐭𝐡𝐨𝐧 𝐚𝐧𝐝 𝐃𝐣𝐚𝐧𝐠𝐨 - ( 𝐏𝐲𝐭𝐡𝐨𝐧 𝐂𝐫𝐚𝐬𝐡 𝐂𝐨𝐮𝐫𝐬𝐞 𝐂𝟒 )

Embarking on the journey of web application development can seem overwhelming at first. Still, Python, when paired with the robust Django web framework, makes it an approachable and satisfying endeavor. With these powerful tools at your disposal, you're fully equipped to construct dynamic, interactive websites from the ground up.

Initiating a Django project is relatively straightforward, serving as the first major step on your path. By executing a few simple commands, you can create the fundamental structure of your application. Yet, this skeleton is just the beginning. The heart of your application comes to life as you define URLs, craft views, and generate HTML templates. These components work in harmony, responding to user requests and generating appropriate web pages, delivering a unique experience to each user.

One cannot underestimate the importance of managing data in web applications. This is where Django truly excels. It provides an intuitive, built-in administrative site that allows you to oversee and manipulate your data with ease. Django's model structure precisely outlines your data requirements, and migrations ensure your database setup is seamless. Django's forms, particularly the ModelForm, work hand-in-hand with these models. It's this collaboration that enables efficient validation of user data and its smooth saving to the database.

Handling user accounts is a core part of any web application, and Django is fully equipped for this task. It has an in-built authentication system that takes care of the lion's share of the work. By employing decorators like , you can rest assured that only authorized users access specific parts of your application. And this can expand to other processes as well, as a decorator is simply a function that wraps another function and extends its behavior without explicitly modifying it. Connecting your data models to Django's User model enables a personalized user experience, with data filtered based on the logged-in user.

The aesthetic appeal and user experience play a vital role in determining the success of a web application. Here, the Bootstrap CSS framework (which is unrelated to Python itself) is your ally. It offers sleek, responsive templates that elevate the look and feel of your Django app. Using base templates further streamlines your code, avoiding redundancy and enhancing the maintainability of your application.

When the time comes to share your application with the world, services like Platform.sh streamline the process of deployment. They help you host your application online with a combination of configuration files. And voila, your web application is ready to leave an impression on the global stage.

In essence, with Django, a Python-based web framework, you're empowered to construct engaging, user-centric web applications. Remember, although it may seem challenging initially, every step you take contributes to the crafting of your very own corner of the internet. In this vast digital universe, Python unlocks limitless possibilities, encouraging you to continue exploring, learning, and creating.

01/09/2023

𝐏𝐚𝐢𝐧𝐭𝐢𝐧𝐠 𝐰𝐢𝐭𝐡 𝐝𝐚𝐭𝐚: 𝐜𝐫𝐚𝐟𝐭𝐢𝐧𝐠 𝐞𝐧𝐠𝐚𝐠𝐢𝐧𝐠 𝐯𝐢𝐬𝐮𝐚𝐥 𝐧𝐚𝐫𝐫𝐚𝐭𝐢𝐯𝐞𝐬 𝐢𝐧 𝐏𝐲𝐭𝐡𝐨𝐧 - ( 𝐏𝐲𝐭𝐡𝐨𝐧 𝐂𝐫𝐚𝐬𝐡 𝐂𝐨𝐮𝐫𝐬𝐞 𝐂𝟑 )

In today's era of data explosion, making sense of vast numbers of complex data sets is pivotal. Whether it's communicating intricate ideas or making data-driven decisions, clear, strong data visualization stands as an essential tool. Python, a versatile programming language, comes armed with robust libraries that can convert raw data into rich, interactive, and visually striking narratives.

Your journey into data visualization with Python begins with a foundational library, Matplotlib. This library acts as your canvas, allowing you to create an array of basic yet compelling visualizations such as line graphs and scatter plots. Here, you're the artist, with the power to customize plots by tweaking attributes such as linewidth, title, xlabel, ylabel, and more, to bring your data to life. To add a dash of intrigue, you can simulate random walks using Python's random module and visualize these intriguing stochastic processes with Matplotlib.

But the real world of data isn't always served to us on a silver platter. Often, data comes in formats that need processing before they can be plotted, and here Python's csv module plays a crucial role. This module enables you to handle and process data stored in CSV files, transforming it into a plottable format. To manage missing or incorrect data, Python's try-except blocks act as your safety nets, providing robust error-handling mechanisms.

For a geographical perspective on data, Python's json module enables you to handle GeoJSON data. This data can then be visualized on interactive maps using Plotly Express, lending a spatial dimension to your data and translating abstract numbers into tangible real-world insights.

Stepping into the realm of APIs – the structured data highways of the internet – opens up endless possibilities. With the requests module in Python, you can fetch these data streams with ease. The data from an API call, usually in a JSON format, can be converted into a Python dictionary using the json() method, thus preparing it for further manipulation.

As soon as the data is in your hands, Plotly Express acts as your magic wand. It allows you to swiftly create interactive visualizations, making your data dance at the tips of your fingers. You can customize your charts through a host of options, including initial function calls and methods like update_layout(). Adding custom tooltips, links, and individual styles makes your visualizations not only informative but also engaging and interactive.

Python, with its powerful arsenal of data visualization tools, equips you to transform raw, complex data into insightful, captivating visual narratives. It's not just about making pretty charts; it's about storytelling through data. Each data set has a story to tell, and with Python's visualization capabilities, you're well-equipped to narrate it compellingly.

01/09/2023

𝐄𝐧𝐡𝐚𝐧𝐜𝐢𝐧𝐠 𝐜𝐨𝐝𝐞 𝐞𝐟𝐟𝐢𝐜𝐢𝐞𝐧𝐜𝐲 𝐚𝐧𝐝 𝐫𝐞𝐥𝐢𝐚𝐛𝐢𝐥𝐢𝐭𝐲 - ( 𝐏𝐲𝐭𝐡𝐨𝐧 𝐂𝐫𝐚𝐬𝐡 𝐂𝐨𝐮𝐫𝐬𝐞 𝐂𝟐 )

Having unraveled the basics of Python, let's delve deeper. Interactivity is key in many programs, and Python allows user input via the input() function. This function prompts the user to enter data, which can then be stored in variables for later use. However, user interactions are rarely one-time events. To perform an action repeatedly as long as certain conditions hold true, Python introduces “while” loops. With these, you can manipulate user input, transfer items between lists, populate dictionaries, and set conditions to exit the loop.

As your codebase expands, managing complexity becomes crucial. Here, Python's functions are your ally. Functions encapsulate pieces of code that perform specific tasks, leading to more organized, reusable, and easy-to-read code. When defining functions, you specify parameters and return values, allowing the function to receive and send information. Functions can format text, modify lists, build dictionaries, and more. They also support default values and varying scopes. To improve code organization even further, Python allows you to store functions in modules.

Taking organization to another level, Python embraces object-oriented programming with “classes.” A class defines the blueprint for an object, encapsulating attributes and methods relevant to that object. In this sense, methods are simply functions that belong to a class. You can create instances of a class, each carrying its own set of data. Leveraging the principle of inheritance, classes can be extended, enhancing code reusability and efficiency. Just like functions, classes can also be stored in separate modules.

Efficient code also includes robust error handling. Python allows reading and writing to files, but these operations may fail for various reasons, such as the file not existing. Python's exceptions come in handy here, enabling your programs to respond to errors in a controlled manner. Common exceptions like FileNotFoundError and ZeroDivisionError help handle typical issues. Moreover, Python encourages “failing silently,” or choosing to propagate errors further.

Lastly, reliability is as vital as efficiency, and testing your code is the best way to ensure this. Python supports test-driven development, a practice that encourages writing tests before the actual code. Python's unittest module lets you write and run test cases for your functions and classes. The module provides various assertions to check whether your code works as expected, and fixtures to keep your test cases organized and efficient. This approach helps catch and fix bugs early, saving valuable time and effort. With this knowledge, you are one step closer to understanding Python, and unlocking the power of robust, efficient, and reliable coding.

01/09/2023

𝐌𝐚𝐬𝐭𝐞𝐫𝐢𝐧𝐠 𝐭𝐡𝐞 𝐛𝐚𝐬𝐢𝐜𝐬 𝐨𝐟 𝐚 𝐩𝐨𝐰𝐞𝐫𝐟𝐮𝐥 𝐥𝐚𝐧𝐠𝐮𝐚𝐠𝐞 - ( 𝐏𝐲𝐭𝐡𝐨𝐧 𝐂𝐫𝐚𝐬𝐡 𝐂𝐨𝐮𝐫𝐬𝐞 𝐂𝟏 )

Stepping into the world of Python, you're beginning a journey with one of the most versatile and popular programming languages out there. Frequently used for web development, data analysis, and artificial intelligence, Python's design philosophy is underpinned by the “Zen of Python,” a set of guiding principles that stress the importance of readability and simplicity.

For the sake of this Blink, let's kick-start our journey with Python's foundational element, variables. Variables are essentially the labels for the data you want to store and manipulate in your program. They can hold various types of data, but let's focus on one type for now: strings. Strings are sequences of characters that hold textual information, like a simple sentence. These can be manipulated in various ways using methods such as lower(), upper(), and title() to change their case. The parentheses in these labels indicate that it's a function or method in programming. You can even merge strings together through a process known as concatenation, using the '+' operator.

Python, like other languages, also allows numeric data types. Integers, floats, and even numbers with exponents can be used seamlessly. To aid readability, underscores can be inserted in large numbers to separate groups of digits.

Documentation is key in programming, and Python allows this through comments, beginning with the ' #', ensuring your code is easier for others, and yourself, to understand.

Now, imagine needing to manage a set of data in an ordered fashion. Python's lists come to your rescue. Defined with square brackets, lists are ordered collections of items. Each item in the list is assigned an index position, beginning at 0. Python allows not only accessing and modifying these items but also adding and removing items. With sort() and sorted() methods, lists can be sorted in a breeze.

To process these lists, Python provides what are called “for loops.” For each item in your list, a for loop will execute a block of code. A for loop can also be used just to execute a block of code multiple times, even if lists aren’t involved. Python also offers the range() function, which can generate a series of numbers, even allowing you to create lists from these ranges. To access subsets of your list, Python provides a concept called slicing.

Next in your toolkit are conditional statements. These allow your program to make decisions by evaluating conditions as True or False. Python offers “if,” “else,” and “elif,” to execute specific blocks of code when conditions are met. Python's design requires well-indented and readable “if” statements, echoing the Zen of Python.

Another powerful data structure Python offers is dictionaries. Dictionaries store data as key-value pairs, allowing quick access to values by referencing their keys. These are dynamic structures – you can add data anytime, and even nest dictionaries and lists to model more complex real-world data.

In essence, these tools unlock the doorway to Python's core: its data structures and fundamental programming concepts. Armed with this knowledge, you're well on your way to mastering Python.

Script Symphony

20/09/2023

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