• Regeln für den Audio-Bereich:

    Allgemeine Boardregeln: MyBoerse-bz-Regelwerk Regelwerk Audioboerse

    1. Das richtige Forum

    Wähle ein passendes Unterforum für dein Angebot

    2. Doppelte Threads vermeiden / Ein Thread pro Interpret


    Da es hier langsam ausartet mit gleichen Interpreten, aber verschiedenen Jahren, gilt ab sofort: Nur noch ein Thread pro Interpret, unabhängig von der Jahreszahl der verschiedenen Alben. Wünschenswert wäre es wenn ihr den Titel ab sofort so benennt: Interpret - Diskographie

    Um Doppelpost zu vermeiden, nutze vor dem Posten die Suchenfunktion. Gibt es schon einen passenden Thread, dann poste Dein Angebot dort hinein. Für einzelne Alben einer Sammlung bzw. Hörbuchreihen bitte in den passenden Sammelthreads posten.

    3. Der richtige Titel

    Gib dem Thread einen einfachen aber vernünftigen Titel, der zum Angebot passt. Um den Thread besser über die Suche zu finden, solltest du einen normalen Titel benutzen. Bei Threads in den Foren Musik, HQ Audio / Lossless und Soundtracks / OST immer das Jahr am Ende des Threadtitels in Klammern angeben, z.B.: Interpretname - Albumname (2016)

    4. Die richtigen Angaben

    Ein Thread/Thema in der Audio-Börse muss dem User Informationen über das Angebot geben können.

    Pflichtangaben:

    Bild des Uploads
    Genre
    Bitrate der Musik Datei: in Kbit/s
    Hoster
    Größe in MB oder GB
    Tracklist

    Optional: Angabe wenn Cover dabei sind.


    Sollte ein Angebot diese Pflichtangaben nicht beinhalten, wird der Verfasser darauf hingewiesen. Sollte dieses dann nicht geändert werden, werden die Beiträge gelöscht.

    (Sollte der Upload nicht als mp3 vorliegen, sondern als ogg/Bin/Cue o.Ä., dann ist dies auch eine Pflichtangabe)

    5. Defekte/nicht verfügbare Links und andere Probleme mit einem Upload

    Sollte ein Upload down sein, dann meldet es per PN dem Uploader. Gibt es zwei Threads zum gleichen Thema oder ein Upload im falschen Forum, dann meldet dies via "Beitrag melden" Funktion, diese befindet sich neben dem Bedanken-Button.

    6. Reupp- /Hosteranfragen
    Reuppanfragen oder auch Anfragen ob es bei einem anderen Hoster geuppt werden kann, bitte direkt per PN an den Uploader und nicht in den Thread.
  • Bitte registriere dich zunächst um Beiträge zu verfassen und externe Links aufzurufen.




Python Development & Data Science - Variables and Data Types

Tutorials

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Free Download Python Development & Data Science - Variables and Data Types
Published 11/2023
Created by MTF Institute of Management, Technology and Finance
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 10 Lectures ( 1h 23m ) | Size: 484 MB

Python Development & Data Science: Variables and Data Types Course by MTF Institute
What you'll learn
Python Development
Variables and Data Types
An overview of different data types
Numeric Data Types
Boolean Data
input() function
String as a data type
Constants
Requirements
For a better learning experience, we suggest you to use a laptop / mobile phone / pen and paper for taking notes, highlighting important points, and making summaries to reinforce your learning.
Description
Welcome to course: Python Development & Data Science: Variables and Data TypesCourse provided by MTF Institute of Management, Technology and FinanceMTF is the global educational and research institute with HQ at Lisbon, Portugal, focused on higher & professional hybrid (on-campus and online) education at areas: Business & Administration, Science & Technology, Banking & Finance. MTF R&D center focused on research activities at areas: Artificial Intelligence, Machine Learning, Data Science, Big Data, WEB3, Blockchain, Cryptocurrency & Digital Assets, Metaverses, Digital Transformation, Fintech, Electronic Commerce, Internet of Things. MTF is the official partner of: IBM, Intel, Microsoft, member of the Portuguese Chamber of Commerce and Industry, and resident of the incubator "The Fintech House of Portugal".MTF is present in 204 countries and has been chosen by more than 220,000 students.Course Author:Stanisław Marek HalkiewiczI am a seasoned educator specializing in the domains of econometrics, statistics, statistical programming, and mathematics, boasting an extensive track record exceeding three years. Notably, I have imparted my expertise to students hailing from prestigious global universities, solidifying my standing as a sought-after tutor. I have made significant contributions in research endeavors spanning statistics, econometrics, and statistical programming. Furthermore, my professional trajectory encompasses a diverse spectrum, ranging from project management to business intelligence and Data Science.Course Description:Course designed to introduce individuals to the world of Python programming. Python has gained immense popularity in recent years for its simplicity, versatility, and readability. This course is ideal for beginners who are new to programming.Importance For Companies:Versatility: Python is versatile and can be used for a wide range of applications, from web development and data analysis to artificial intelligence and automation. Companies can benefit from having Python developers who can adapt to various projects.Productivity: Python's clean and readable syntax allows developers to write code more quickly and efficiently. This results in faster project development and reduced costs for companies.Large Ecosystem: Python has a vast ecosystem of libraries and frameworks, making it easier for companies to find solutions to their specific needs. This reduces the need for reinventing the wheel.Data Analysis and AI: Python is a go-to language for data analysis and machine learning. Companies can leverage Python to extract valuable insights from data and build AI-driven applications.Community and Support: Python has a strong and active community of developers. Companies can tap into this community for support, resources, and talent recruitment.Importance For Developers:Career Opportunities: Learning Python opens up a wide range of career opportunities in various industries. Python developers are in high demand, and their skills are transferable to different domains.Diversity of Roles: Python developers can work in roles such as web developer, data analyst, data scientist, machine learning engineer, and more. This diversity allows developers to explore different areas of interest.Ease of Learning: Python's straightforward syntax makes it an ideal choice for beginners in programming. It's also accessible to experienced developers looking to add another language to their skill set.Continuous Growth: Python is constantly evolving, with new libraries and frameworks being developed. This means that developers who invest in Python education can continue to grow their skill set over time.Remote Work Opportunities: Python development often allows for remote work, providing developers with flexibility in their careers.The course provides a foundation for individuals looking to embark on a career in programming or expand their skill set. Python's significance in the tech industry, its versatility, and its demand in the job market make it a valuable asset for both companies and developers aiming to excel in today's technology-driven world.
Who this course is for
Course Description: Introduction to Python Development is a course designed to introduce individuals to the world of Python programming. Python has gained immense popularity in recent years for its simplicity, versatility, and readability. This course is ideal for beginners who are new to programming.
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