Python Kurse

Python ist eine beliebte allgemeine Programmiersprache, die für Anwendungen sowohl von kleinem als auch von großem Ausmaß genutzt wird. Mit Python können Sie feststellen, wie man die Brücke von Webentwicklung zu Datenanalyse schlägt. Die weite Verbreitung von Python ist auf die große Standardbibliothek der Sprache, ihre einfache Lesbarkeit und die Unterstützung mehrerer Paradigmen wie funktionelle, prozessuale und projektorientierte Programmierungsstile zurückzuführen. Python-Module interagieren mit einer Vielzahl von Datenbanken und eignen sich somit ideal für groß angelegte Datenanalysen. Die Programmiersprache Python ist oft die beste Wahl für Einführungskurse in die Datenverarbeitung und maschinelles Lernen. Wenn Sie sich fragen, wie Sie Python online erlernen können, um Ihre Karriere voranzubringen, sind Sie hier genau richtig.

Python ist eine der trendigen Berufskompetenzen im Global Skills Index (GSI) 2020 von Coursera. Laden Sie die Ausgabe 2020 des GSI-Berichts herunter.

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We recommend these courses for those who wish to learn Python without prior computer programming experience. You might be interested in learning how to automate accounting processes, or ways to bring efficiency to day-to-day marketing analytics and data mining. Python is used in large-scale functions and software engineering jobs, such as game development, machine learning, database management, and more. Regardless of your end goals, this collection covers the fundamentals of programming in Python.‎

A quick search of Indeed.com returns over 40,000 job openings with Python programming skills or experience listed as a requirement. The wide adoption of the language across many industries results in a large number of job opportunities. Common job titles include Python Developer, Python Software Engineer, Full Stack Developer and Python Database Programmer. Of the Python-specific jobs listed, 43% of offered salaries are above $100K per year, and some senior-level Python programming engineer positions offer over $200K per year. It’s very fair to say that Python skills and experience can lead to a lucrative and secure career. The proper Python certification can influence hiring managers looking to fill specific roles on their team.‎

Following is an excerpt from a Coursera Community forum topic about what programming languages our Community members use.

"I've been in software development for 50 years (now retired) and languages come and go. If you're into software development, keep active in several, and strive to learn a new and different culture language every year or two. In simple terms today I like Python and JavaScript. For longevity in marketable skills, C and C++ are essential base skills. I used C for over 30 years. Learn Haskell, it'll improve all your other programming skills even if you never use it in a project." - Gordon

"For data science it is most important to understand and implement algorithms. Python is one of the languages that is really self describing. And one of the major reasons why I use it for data science projects especially machine learning is that it is very light. Anyway, for all my projects that have complicated algorithms, I use OCTAVE for trying out algorithms (since I have all datascience codes stored there). Mainly by breaking it into simpler problems and then in the end I convert it into desired language and join the simpler and shorter algorithms." - Hardi‎

Both Python and R are free, open-source languages that can run on Windows, macOS, and Linux. Both can handle just about any data analysis task, and both are considered relatively easy languages to learn, especially for beginners. So which should you choose to learn (or learn first)? Before we dig into the differences, here’s a broad overview of each language. Read this article about the difference between Python and R.‎