Python courses

What is Python used for?

Automation is one of the most popular uses of Python amongst non-software developers.
Learning to easily write a Python script can save you time by automating repetitive tasks like copying files and folders, renaming them and uploading them to a server.

It also helps people who process data on Excel sheets and PDFs with automation through Python - a popular reason for accountants, mathematicians and scientists to use this.

The major disciplines where Python programming is used and learned are Machine Learning and AI, Web Development, Data Analytics, Game Development, IoT, Application Development, and Game Development. Sectors like healthcare, finance, aerospace, and banking rely heavily on Python as well.

A case study on Python.org cites Frequentis - one of the world's leading providers for safety-critical solutions in the field of Air Traffic Management and Public Safety & Transport. With over 500 employees world-wide, it provides innovative, user-centred solutions to its customers.

Frequentis has been using Python in its TAPtools® product family, which focuses on the Tower and Airport Tools segment of Air Traffic Control. These tools are used by air traffic controllers to track weather conditions, control runway lighting, and to monitor and control navigational aid instruments.

Why are Python courses popular?

Python is deemed one of the most popular programming languages on the planet. It is adopted by and adapted for every sector and industry. In 2022, for the second year in a row, the Tiobe index identified Python as the programming language. The TIOBE Programming Community index is an indicator of the popularity of programming languages. But why is it so popular?

• Using Python is simple and clean. You can solve complex problems in less time with fewer lines of code.

• It's a high-level language and this means you don't have to worry about complex tasks such as memory management.

• It is also cross-platform, so you can build and run Python applications on Windows, Mac,
  and Linux.

• It has a huge but tight-knit community of experts, trainers and students that can support you whenever so whenever you hit a roadblock.

• Python also has a large ecosystem of documentation, frameworks and tools so you can use the 20-year-old knowledge base of other Python users.

• Learning Python opens up lots of job opportunities and career growth.

Is there an official Python certification?

Yes, there are official certifications for Python courses, offered by the Python Institute.

• Certified Entry-Level Python Programmer (PCEP™)

• Certified Associate in Python Programming (PCAP™)

• Certified Professional in Python Programming (PCPP™)

Lumify Work offers the Certified Entry-Level Python Programmer (PCEP) course, which is fully aligned with the Python Institute's PCEP exam.

Fully aligned courses for the PCAP and PCPP are due for release in December 2023.

Can you learn Python at 45 (or 15) years old?

Because of the simplicity of Python, you can learn it at any age. There is also the fact many countries are facing a digital skills gap. Sitting a Python course and deepening your expertise can help you find more career opportunities and support organisations in their digital transformation initiatives.

You can learn through instructor-led or self-paced courses, and you can build your expertise by working on projects part-time, full-time or as a freelancer or consultant.

How long does it take to learn Python?

Based on the experiences of our students and members of the Python programming community around the world, it takes around two to six months to learn the fundamentals of Python. This includes learning through Python courses and learning through experience - exploring the tools, creating your own projects, and consulting with other Python programmers.

Note that the amount of time to learn Python will depend on your goals, your hours spent on studying, and your immersion with the tools as well with the community.

Factors that can affect your learning curve for Python include:

• Previous experience with writing even basic code

• Methods of instruction and structured lessons that align with your learning goals

• Time devoted to studying and practising

Extending knowledge beyond your Python training course

Before, during, and after you sign up for Python courses, you can extend your knowledge and enhance your learning by focusing on some habits and practices.

• Devote time daily to code - Because Python is a language - a programming language at that - practicing for just 15 to 20 minutes daily on tasks and projects can greatly impact your retention.

• Focus on logic and concepts - Analysing the concepts and the hows and whys of your code is more effective than memorising terminologies and syntax.

• Engage with the community - Lumify Work has a community of learners including Python learners who can boost your motivation and share tips and tricks with each other.

Sign up for Python Programming courses with Lumify Work

Lumify Work is a leading provider of corporate ICT training. Our course offerings include the best online courses for Python. We also offer training onsite.

Our courses are delivered by Python programming experts who can align their structure of the lessons to your goals and functions, whether it's Python for data science or for finance or for automation.

Our onsite campuses are open for training in Australia in Sydney, Melbourne, Brisbane, Perth, Canberra, and Adelaide; in New Zealand in Auckland, Wellington, and Christchurch; and in the Philippines, in Metro Manila. Our team also offers flexible delivery modalities with Lumify Anywhere including traditional classroom delivery (Instructor-Led Training or ILT), Virtual Instructor-Led Training (VILT), and Hybrid VILT delivery,