#phython

[pwlanier]

Taxidermy. An early 20th century stuffed python, in a naturalistic setting with

six model eggs, in an ebonized glazed case.

Woolley and Wallis

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[python-coaching]

What is Python language and its Benefits ?

Might you want to make a surprising pay and participate in a safeguarded future? Learn Python programming, and you will. No, we're not talking about the reptile or the model English parody organization, we really mean Python, as in the programming language. Python coaching with Mega career institute is direct and when you do, you can use those capacities to land an extraordinary calling in the rapidly making data science industry. Far superior, your calling will prosper as the interest for Python engineers creates with the new applications for man-made intelligence that arise reliably. Enchanted? Brilliant! Scrutinize on and become enlightened to the upsides of Python!

Python is a huge, unraveled, and comprehensively valuable programming language that bright lights on code clarity. It generally has not many activities when diverged from Java and C. It was laid out in 1991 by a Dutch programming engineer named Guido Van Rossum. Python positions among the most renowned and speediest creating vernaculars on earth. Python instructing with Super vocation establishment is an area of strength for a, and easy to-use language. Also, the python neighborhood is especially unique. It is used in various relationships as it maintains different programming principles. It in a manner performs modified memory for the chiefs.

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[the-worst-fe-player]

Finally plus tenbed him!!

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[prabhatjairam]

Career Options in Data Science

In an era of digitization and advanced technologies, data science plays a vital role in driving innovations, decisions, creativity, and success. It helps businesses identify challenges, trends, and new opportunities. Nowadays, it becomes important for each enterprise to add data science to its business operations to make a marked difference in product development, decision-making, and productivity levels.

Students across India are seeking a career in this field right after their higher studies. With the growing demand for data science courses, many schools and colleges are introducing graduate and undergraduate courses in data science. Apart from that, there is a wide array of data science online courses that learners can easily get on the leading eLearning portals.

What is data science?

Data science refers to the integrative approach that combines practices and principles from various fields, including computer engineering, statistics, artificial intelligence, and mathematics, to extract meaningful insights for business. It involves different tools, processes, and roles, enabling analysts to draw actionable insights that can guide strategic planning and decision-making. In addition, data science is a multidisciplinary concept and can be described as a research method, workflow discipline, and profession.

Courses offered in this field

Leading colleges and certification organizations are now offering courses in data science. Obtaining a bachelor's or master's degree is necessary to create a career in this sector. The list of courses, both undergraduate and graduate, is provided below.

Best Data Science Bachelor Degrees

Bachelor in Data Analytics

B.S. in Computer Science

Bachelor of Science in Healthcare Data Analytics

Bachelor of Data Science

B.Sc. in Applied Data Science

B.Sc. Data Science, Artificial Intelligence, and Digital Business

B.Sc. (Hons.) in Data Science

B.Sc. (Hons.) Computing

The Best Master's Degrees in Data Science

Master of Science in Data Science

Master of Science in Applied Data Science

Master of Science in Data Analytics

Master of Liberal Arts, Data Science

Master of Advanced Studies, Data Science, and Engineering

Master in Interdisciplinary Data Science

For more articles, please visit  Daily Booster Article| study24hr.com

Top careers in data science

Here are some of the best career options and their roles, which you can choose according to your preferences.

Data Analyst

Data analysts deal directly with unprocessed information gathered by the systems. To process information, they collaborate with a variety of teams, including those in marketing, sales, customer service, and finance.

Data Engineer

Massive amounts of real-time data can be accessed and processed expertly by data engineers. They understand unformatted and unverified data, which is crucial for tech-driven businesses and departments.

Machine Learning Engineer

ML engineers develop software, ML models, and artificial intelligence (AI) systems to power various organizational activities.

Business IT Analyst

Business analysts search for chances to increase company income and growth while processing vast amounts of data.

Marketing Analyst

A market analyst excels at spotting changes in customer behavior, evaluating new buying patterns, and appraising the digital world for a company.

Skills required as a Data Scientist

To learn data science in depth, you need the following set of abilities as a data scientist:

Data Visualization

Statistical analysis and computing

Data Wrangling

Machine Learning

Mathematics

Processing large data sets

Programming language and database

Deep Learning

Best online data science education portals

As the educational system and business operations become more virtual, online data science courses are becoming more popular and in demand. It helps students upgrade their knowledge and generate insight to analyze data effectively and efficiently. Many top-notch data science websites and platforms can aid in the development of your skill set. Some of them are:

Codementor

At Codementor, you can find the best data science professionals, developers, consultants, and tutors. It is the best platform for studying the principles of data science, especially if you are a newbie. It provides a collaborative learning platform. To assist you in going deeper into the field of data science, it offers introductory courses, advanced courses, skill routes, and career paths.

Coursera

With Coursera, you can develop your data science career. This website offers Google Data Analytics certification to students. Any data scientist, marketer, or engineer would benefit from having this talent. Important subjects, including advanced statistics, cloud computing, and Google Analytics, are covered in this course.

ExcelR

One of the top data scientist education providers, ExcelR offers training courses on a wide range of in-demand professional skills to meet the demands of students and working professionals who are looking to upgrade their skill sets. It is regarded as the best data science training portal and provides services ranging from placement to training as a component of a training program for data science with more than 400 participants. Furthermore, a career in data science and analytics can be started with the help of the course material offered by ExcelR, which covers nearly all of the necessary topics.

“Study24hr.com” can assist you in gaining access to a wide variety of online courses. It is one of the greatest eLearning systems and seeks to develop an interactive and collaborative learning environment. The website offers students numerous tools like mock exams, quizzes, daily boosters, motivational films, and more. In addition, “Study24hr.com” permits educators to post their notes on their websites and receive leads from students.

Udemy

Another beneficial site for data science is "Udemy." Over 500 of Udemy's over 10,000 data science courses are free, making it a fantastic resource for data science. It provides data science students with the knowledge and skills they need to begin understanding programming languages, elementary statistics, linear algebra, and artificial intelligence.

edX

Since edX partners with top institutions, it will deliver top-notch data science training. Under this portal, you can study Python programming and deal with its numerous related data packages. These include Pandas, Numpy, and Matplotlib for data analysis, visualization, and computation. The site offers multiple courses to help you understand the areas and functions of data science and statistics. Moreover, edX enables you to make data-driven predictions by using probabilistic modeling and statistical inference while studying massive data.

In conclusion

We sincerely hope that this article provides you with a wealth of data science knowledge. All of the professional possibilities are fantastic and lead to prosperous outcomes. Choose the appropriate option and achieve your dreams if you are truly passionate about the field of data science.

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[maciej1993]

dzisiejszym poście przyjrzymy się skryptowi Pythona, który służy do generowania silnych haseł. Używa on interfejsu graficznego stworzonego za pomocą biblioteki Tkinter, co pozwala użytkownikom na łatwe wybieranie preferencji dotyczących długości hasła i rodzajów zawartych w nim znaków, takich jak wielkie i małe litery, cyfry oraz symbole. Hasło generowane jest poprzez losowe doborowanie znaków z zaznaczonych kategorii. Warto też zwrócić uwagę na komunikat o błędzie na dole zdjęcia, który sygnalizuje problem z wcięciem – typowy dla kodu Pythona, który wymaga szczególnej uwagi na strukturę wcięć.

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[picfac]

Title: Unleashing the Power of Python: A Versatile Programming Language by tpf shoot or digital photo factory

Introduction: In the world of programming, few languages have had the enduring impact and widespread adoption that Python has achieved. Python, developed by Guido van Rossum in the late 1980s, has become a go-to language for beginners and experts alike, thanks to its simplicity, versatility, and a thriving community of developers. In this blog, we will explore the reasons why Python has captured the hearts of programmers worldwide and why it continues to be a popular choice for a wide range of applications.

Simplicity and Readability: One of the key factors behind Python's popularity is its simplicity. Python's elegant syntax and clean design make it easy to read and understand. The use of indentation instead of braces for blocks of code encourages developers to write clean and well-structured programs. This simplicity lowers the barrier to entry for new programmers, allowing them to quickly grasp the fundamentals of programming and start building useful applications.

Versatility: Python's versatility is another major reason for its widespread adoption. Python can be used for a wide range of applications, from web development to data analysis, scientific computing, artificial intelligence, and more. It offers a vast ecosystem of libraries and frameworks that provide solutions for almost any programming task. For web development, frameworks like Django and Flask enable developers to build robust and scalable web applications. For data analysis and scientific computing, libraries like NumPy, Pandas, and Matplotlib provide powerful tools for data manipulation, analysis, and visualization. Python's versatility allows developers to switch seamlessly between different domains and tackle diverse programming challenges.

Extensive Libraries and Frameworks: Python's extensive standard library and third-party packages are a treasure trove for developers. The Python Package Index (PyPI) hosts thousands of open-source packages, making it easy to find and incorporate functionality into your projects. Whether you need to work with databases, handle network communication, perform machine learning tasks, or create stunning visualizations, chances are there's already a package available that can help you get the job done. This vast ecosystem saves developers time and effort, enabling them to focus on the core functionality of their applications.

Strong Community Support: Python boasts an incredibly strong and vibrant community of developers. The Python community actively contributes to the language's growth by creating new libraries, sharing knowledge through forums, blogs, and Stack Overflow, and organizing conferences and meetups. The community's inclusiveness and willingness to help make Python an excellent choice for beginners seeking guidance and support as they embark on their programming journey. Whether you are a beginner or an experienced developer, the Python community provides a welcoming and supportive environment that encourages collaboration and learning.

Cross-Platform Compatibility: Python's cross-platform compatibility allows developers to write code once and run it on multiple platforms without modification. Whether you're using Windows, macOS, or Linux, Python programs can run seamlessly on any operating system. This feature makes Python an ideal choice for developing applications that need to be deployed on different platforms or for collaborating with developers who use different operating systems.

Python has a rich ecosystem of libraries and modules that provide various functionalities and capabilities. Here are some popular Python libraries:

NumPy: A fundamental library for numerical computing, providing support for large, multi-dimensional arrays and matrices, along with a collection of mathematical functions.

Pandas: A library for data manipulation and analysis. It offers data structures like DataFrames for efficient handling of structured data and tools for data cleaning, merging, filtering, and more.

Matplotlib: A plotting library that enables the creation of static, animated, and interactive visualizations in Python. It provides a wide range of plots, including line, scatter, bar, histogram, and more.

SciPy: A library built on top of NumPy, providing additional functionality for scientific computing. It includes modules for optimization, integration, interpolation, linear algebra, signal processing, and more.

Scikit-learn: A machine learning library that offers a wide range of supervised and unsupervised learning algorithms, along with tools for data preprocessing, model evaluation, and feature selection.

TensorFlow: An open-source library primarily used for building and training deep learning models. It provides a flexible architecture for creating neural networks and includes tools for model deployment and production.

PyTorch: Another popular deep learning library that offers dynamic computational graphs and a flexible framework for building and training neural networks. It has gained significant popularity in the research community.

Keras: A high-level neural networks library that runs on top of TensorFlow or other backend engines. It simplifies the process of building deep learning models and supports both convolutional and recurrent networks.

Flask: A lightweight web framework for building web applications in Python. It provides tools for URL routing, template rendering, handling HTTP requests, and more.

Django: A full-featured web framework that follows the Model-View-Controller (MVC) architectural pattern. It offers an ORM (Object-Relational Mapping) layer, admin interface, routing, and various utilities for building web applications.

These are just a few examples, and there are numerous other libraries available for different purposes, such as natural language processing (NLTK, spaCy), computer vision (OpenCV), data visualization (Seaborn, Plotly), and more.

Python, a popular programming language, has several advantages and disadvantages. Let's explore them:

Advantages of Python:

Readability and Simplicity: Python has a clean and easily understandable syntax, making it simple to read and write code. Its emphasis on code readability allows developers to express concepts in fewer lines of code compared to other programming languages. This readability also facilitates easier code maintenance and collaboration among developers.

Versatility and Flexibility: Python is a versatile language that supports both object-oriented and procedural programming paradigms. It offers a wide range of libraries and frameworks for various purposes, such as web development, data analysis, scientific computing, machine learning, and more. This flexibility enables developers to work on diverse projects using a single language.

Large Standard Library and Third-Party Ecosystem: Python comes with an extensive standard library that provides a wide range of modules and functions for common tasks. Additionally, Python has a thriving ecosystem of third-party libraries and frameworks, such as NumPy, Pandas, TensorFlow, Django, Flask, and many others. These libraries make it convenient to leverage existing tools and accelerate development.

Cross-Platform Compatibility: Python is a cross-platform language, meaning it can run on various operating systems like Windows, macOS, Linux, and even on embedded systems. This portability enables developers to write code once and run it on multiple platforms without major modifications, reducing development time and effort.

Rapid Prototyping and Development: Python's simplicity and extensive libraries enable rapid prototyping, allowing developers to quickly test ideas and build functional prototypes. Its interpreted nature also eliminates the need for compilation, enabling faster development cycles and iterative programming.

Disadvantages of Python:

Performance: Python is an interpreted language, which can result in slower execution speed compared to compiled languages like C or Java. While Python itself is not considered a high-performance language, its performance can be improved by leveraging compiled extensions or by using libraries that provide optimized implementations for computationally intensive tasks.

Global Interpreter Lock (GIL): The Global Interpreter Lock is a mechanism in Python that ensures thread safety by allowing only one thread to execute Python bytecode at a time. This means that Python's multithreading capabilities may not fully utilize multiple processor cores in CPU-bound scenarios. However, Python offers alternative approaches like multiprocessing or asynchronous programming to overcome this limitation.

Mobile and Game Development: While Python is a versatile language, it is not widely used for mobile app development or high-performance game development. Other languages like Java, Swift, or C++ are more commonly used for these domains due to factors such as platform-specific APIs, performance requirements, and ecosystem support.

Memory Consumption: Python's dynamic typing and high-level abstractions come at the cost of increased memory consumption compared to statically typed languages. This can be a concern in resource-constrained environments or when developing applications with high memory requirements.

Version Compatibility: Python has undergone significant updates throughout its history, resulting in compatibility issues between different Python versions. Code written for older versions may not be compatible with the latest version, requiring modifications or updates. However, the Python community strives to provide migration tools and guidelines to mitigate such challenges.

It's important to note that the advantages and disadvantages of Python can vary depending on the specific use case, project requirements, and developer preferences. Python's strengths in readability, versatility, and vast ecosystem make it a popular choice for a wide range of applications.

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[ohba-artlife]

pythonの勉強

3日もあれば学習できるよ～、等と調子に乗って話をしていた。

そんなに時間を取っている時間はなかった。

下記の本を1時間で読んで、すぐに実践である。

環境の準備から、説明してくれているので、python1年生には、本当に良い。驚きは、1年生なのに、初めからAIの活用が出てくるのか。

scikit-learn すら出てくる。

本当に、恐ろしい時代になってしまった。過去の100年のスピードは、現代の10年ではないかと思う。もっと早いかもしれない…。

#phython #本

[technomaster-uk]

Codecademy: Codecademy is an interactive online platform that offers courses on a variety of programming languages, including Python. Their Python course covers the basics of the language and is designed for beginners. TechnoMaster offers the best training on a Python course in the UK. We provide you with live classes and live projects. You can join Python training after attending our trail class.

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[zephyrtechnologies]

Complete Python Roadmap For Beginner in 2023..

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[python-coaching]

What are professions in banking?

Professions in banking are occupations that basically include assisting clients with their funds and overseeing cash. As banking experts from Banking and finance courses in Noida and Vaishali communicate with clients, many positions in finance go about as client assistance jobs. Some normal financial vocations are venture broker, bank employee, credit official and banking partner. While banking vocations require graduation, most bank occupations don't need advanced education. Due to the talented idea of the gig, bosses favor recruiting up-and-comers with brilliant information on money and math.

Advantages of chasing after financial vocations

The following are a couple of purposes from Banking and finance courses in Noida and Indirapuram behind seeking after a financial profession:

professional stability

cutthroat compensation

amazing open doors for advancement

profession improvement open doors

phenomenal balance between serious and fun activities

scope of occupation jobs to browse

extra advantages and advantages like clinical protection, wiped out leave and maternity leaves.

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Medium - https://medium.com/@infomegatechnoida/what-are-professions-in-banking-fe05e8ee568e

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[ipcsglobal666]

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[forevervirginia]

Dollclans Phython

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[quenciltechtraning]

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