1. Introduction to Python (Week 1)
- •What Python is and where it is used
- •Main features and application areas
- •Installing Python and setting up an IDE
- •Using the Python interpreter
- •Writing and running the first program
Learn Python programming in Frankfurt with a course built around Python, Jupyter Notebook, VS Code, PyCharm, NumPy, Pandas, Matplotlib, Seaborn, Flask and Django. You will move from Python basics to OOP, file handling, data analysis, web development basics, and real projects.
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Learning Python is useful, but job readiness needs more than class notes. Inventateq focuses on helping learners in Frankfurt present their Python skills clearly, practice interviews, and prepare for roles tied to development, automation, data analysis, and backend work.
Frankfurt has demand for Python across software teams, data teams, automation work, and backend development. Salary growth usually depends on how well you can use Python with libraries, frameworks, and project experience.
Python Average Salary by Experience
Frankfurt has demand for Python across software teams, data teams, automation work, and backend development. Salary growth usually depends on how well you can use Python with libraries, frameworks, and project experience.
Python Average Salary by Experience
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Inventateq teaches Python in a practical sequence, starting with core programming and moving into OOP, file handling, advanced Python concepts, libraries for data work, and basic Flask and Django exposure. The course is built around hands-on exercises and real projects, so learners can connect each module to what they actually do in a job.
We stand apart through our commitment to:

Our live online Python classes for Frankfurt learners are interactive and practical, with the same syllabus, tools, and project work as the classroom batch. You can join from anywhere, follow along in real time, and get mentor help while you practice.
Anyone starting with programming can join and learn Python from the basics.
Students who want Python project skills for interviews and internships.
Developers and analysts who want to add Python to their skill set.
Learners moving into software, automation, or data roles can start here.
People with no coding background can follow the step-by-step modules.
Mode: Offline classroom and live online options
Training flow: Step-by-step Python from basics to projects
Tools used: Python, Jupyter Notebook, VS Code, PyCharm
Project focus: Calculator, student system, scraper, and data analysis
No prior programming experience is required to begin.
Rated 4.9/5
Inventateq keeps Python training practical and job-focused, with a syllabus that moves from core programming to libraries, web basics, and projects. The class flow is simple, direct, and built for learners who want to use Python in real work.
By the end of the course, learners have worked through Python coding, data handling, OOP, web basics, and project building. That gives you a stronger base for interviews and day-to-day work in development or analytics.
You learn the language from setup to advanced concepts, so you can write, run, and debug Python programs with confidence.
You work with lists, dictionaries, CSV, JSON, and file operations, which are common tasks in Python roles.
The course introduces NumPy, Pandas, Matplotlib, and Seaborn for analysis and visualization work.
You get an overview of Flask, Django, REST APIs, and backend basics for web-focused Python roles.
Calculator, student management, web scraper, and data analysis projects help you show practical ability.
Resume building and interview preparation help you explain your skills clearly for job applications.
The certificate shows that you completed structured Python training covering core programming, libraries, web basics, and projects. It helps employers see that you trained with tools and tasks used in entry-level Python, data, automation, and backend roles.
Earn this certificate upon successful completion of our training program.
Validate your skills with recognized industry credentials.
Earn this certificate upon successful completion of our training program.
Validate your skills with recognized industry credentials.
Yes, beginners can join this course. It starts with Python setup, basic syntax, variables, data types, and control flow before moving into advanced topics. You do not need prior programming experience to begin.
Yes, the course includes real-time projects such as a calculator application, student management system, web scraper, and data analysis project. These projects help you apply the syllabus in a practical way. They also support your resume and interview discussion.
Yes, it covers NumPy, Pandas, Matplotlib, and Seaborn. You learn how to work with data, create charts, and understand basic analysis workflows. These tools are important for junior data roles and Python-based analytics work.
Yes, live online training is available for Frankfurt learners. The online format follows the same practical syllabus and includes mentor interaction. You can join from home and still complete the projects and exercises.
Yes, placement support is part of the course. You get resume guidance, mock interviews, project presentation help, and career mentoring. The support is meant to prepare you for Python, automation, data, and backend openings.
You can apply for roles such as Python Developer Intern, Junior Python Developer, Junior Data Analyst, Python Web Developer, and QA Automation Engineer. The course also gives a foundation for backend and software development paths. Your project work and tool knowledge will help you explain your profile clearly.
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