Python courses

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.

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.

To get the most out of a Python course, you’ll want to engage with the material actively, apply what you learn, and reinforce your understanding through practice.

1. Set Your Learning Goal - Decide what you want to achieve with Python. This can include web development (e.g., Django, Flask), data analysis (e.g., Pandas, NumPy), machine learning (e.g., scikit-learn, TensorFlow), automation/scripting, or game development (e.g., Pygame).

2. Actively Follow the Course - Take notes and think about examples—code along with your instructor, maximising hands-on labs to build muscle memory. Ask your instructor questions for clarification.

3. Practise Regularly - Perform all the exercises in your Python language course.: Repetition is key. Try modifying the sample code to see what changes it makes. You can also write small programs on sites like LeetCode, HackerRank, Exercism, and Project Euler.

4. Understand, Don’t Memorise - Focus on figuring out why the code works, what happens behind the scenes, and what common error messages, such as TypeError and IndexError, mean.

5. Use the Right Tools - Familiarise yourself with Code editors like VS Code and PyCharm, online integrated development environments (Online IDEs) like Replit and Jupyter Notebook, and version control tools like Git and GitHub.

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.

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

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.

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

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

Through Nexacu, part of the Lumify Group, we offer the most extensive public schedule of Python crash courses for data science in Australia, New Zealand, and the Philippines.

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 In-person Delivery, Remote, Campus Access, Remote Trainer with world-class telepresence technology, Partner Venue, Online/Self-paced learning, Seminars, Webinars and Blended learning.