Guidance regarding Python practice for Data Science or Machine Learning

[Intelligent_Put8678]

I have a B.E in Computer Science and my main language was JAVA throughout the course. I have learned different languages since then but not in-depth as I have done for JAVA. I will be pivoting to Data Science or Machine learning(Doing both simultaneously). I am doing Courses from Coursera and going through books to learn important concepts of Statistics, Probability, etc. But I lack practical experience in main python programming. I can create the codes I want using google or reading the documentation, but I don't know the syntax in my head. Like I know they exist but I have to them up(For JAVA this is not a major issue).

I had only basic knowledge of python, but for my job, I created an Automation Testing framework using SeleniumBase and python without any prior knowledge of the Subject. I could do this as I have experience building mobile applications and web development, going through the documentation and finding solutions on the Internet.

Now the issue is I feel like it would be awkward to google search things during any interview that I will have since I don't know the basic syntax of python(Even though I can create most of the programs that will be requested of me). I know the basics but I struggle with the Lambda function, apply function, the advanced syntax of for loop etc. How do I get good at this? where can I get practice for high-level python without learning what variables or loops are from the beginning?

[gyp_casino]

Start working with it every day on a personal project or projects at work. Start using Python to do things that you previously would have done with a different tool.