1. Introduction to Python (Week 1)
- •What Python is and where it is used
- •Main features and applications of Python
- •Installing Python and setting up an IDE
- •Using the Python interpreter
- •Writing and running your first program
Learn Python programming in San Francisco with hands-on training in Python, Jupyter Notebook, VS Code, PyCharm, NumPy, Pandas, Matplotlib, and Flask / Django basics. Build real projects, write clean code, and prepare for Python Developer and Data Analyst roles.
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Learning Python is one part of the job path. Getting ready for Python Developer, Junior Data Analyst, or Automation Scripting Engineer roles in San Francisco needs resume support, interview practice, and role-focused guidance.
Python hiring in San Francisco spans software development, backend work, automation, web development, and data analysis. Pay grows with hands-on project work, library depth, and ability to handle real applications.
Python Developer Average Salary by Experience
Python hiring in San Francisco spans software development, backend work, automation, web development, and data analysis. Pay grows with hands-on project work, library depth, and ability to handle real applications.
Python Developer Average Salary by Experience
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Inventateq teaches Python in a practical sequence: basics, control flow, data structures, functions, OOP, file handling, advanced concepts, libraries, and project work. The course stays close to what learners actually use in Python jobs, with tools like Jupyter Notebook, VS Code, PyCharm, Pandas, and Flask / Django introduced in a usable way.
We stand apart through our commitment to:

Live online Python classes are available for learners in San Francisco who prefer studying from home or need flexibility. You still get interactive sessions, coding practice, mentor support, and project-based learning across the full Python syllabus.
Good for learners starting Python from scratch and needing a clear path from basics to projects.
Useful for college students who want Python skills for internships and entry-level roles.
Fits developers or analysts who want to add Python, automation, or data handling skills.
Helps non-technical learners move into Python Developer or Data Analyst paths.
Strong fit for learners interested in Flask, Django, REST APIs, and backend basics.
Duration: Structured around the full Python syllabus and project work.
Mode: Offline classroom and live online learning options available.
Language: English-led technical training with clear step-by-step explanation.
Level: Suitable for beginners and learners with basic coding exposure.
You can join with no prior Python experience.
Rated 4.9/5
Inventateq focuses on practical Python learning that connects each topic to coding tasks, data handling, and real project work. The training is designed so learners can move from syntax to usable Python skills without skipping the important basics.
By the end of the course, learners can write Python code, handle data, build simple applications, and explain their projects in interviews. The course also helps students become comfortable with tools and workflows used in entry-level Python jobs.
Learn how to use variables, operators, loops, data structures, functions, and OOP to build code that is readable and organized.
Work with CSV, JSON, file modes, and exceptions so you can manage common real-world Python tasks.
Apply NumPy, Pandas, Matplotlib, and Seaborn for data handling and visualization work.
Understand Flask, Django, REST API concepts, and backend development basics for web-oriented roles.
Finish calculator, student management, web scraper, and data analysis projects that show practical skill.
Get help turning your Python learning into interview-ready answers and a job-focused resume.
This certification validates your Python fundamentals, OOP knowledge, file handling, library usage, and project work. It helps show employers that you have trained on practical Python skills, not only theory.
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.
Yes. The course starts with Python installation, the interpreter, and the first program before moving to basics, loops, data structures, and OOP. Beginners can follow it step by step without needing prior coding experience.
Yes. The syllabus includes a calculator application, student management system, web scraper project, and data analysis project. These help you practice the topics you learn and build portfolio-ready work.
Yes, the course includes placement support for Python-related roles. You get help with resume building, mock interviews, and guidance on how to present your projects. The support is practical and focused on job readiness.
Yes. Python is a good starting point for many learners from non-technical backgrounds because the course begins with fundamentals and builds gradually. The mentor support also helps with logic, syntax, and practice questions.
Yes. Live online training is available and follows the same syllabus as the classroom course. You can attend from San Francisco and still get interactive teaching, coding practice, and project guidance.
The course duration is based on the full syllabus, from Python basics to advanced concepts and project work. The exact pacing can vary by batch mode and learning speed. The structure is designed so you can complete the core language and apply it in projects.
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