Here's how you can juggle learning new algorithm skills while managing your current job responsibilities.

Following are some of my methods to be relevant. 1. Prioritise depth and span of learning - it is crucial to understand what you need to know at a higher level and what to have an expertise on 2. Source of Learning - it is also very effective to know which source to use for the learning. Will a YouTube video help or a certification? 3. Impact and Innovation - to innovate an existing process it is important to know the impact on your present line of work and use it whenever you have the chance, ignoring the safety net of an already existing technique 4. Time management - it is key to remember that as professionals we have limited time and it is a cumulative learning and a disciplined schedule which makes it possible

Few things you will need before all this: - Keep your hours expectation to be reasonable. Don't over stretch. - Keep a perk for yourself.( Our parents have trained our mind, like if you will get 90% you will get bycycle) hence keep a treat at end of each task. - Keep tracking files. There is a systematic approach I follow: - Write down what you want to do. - Break down the goal to smaller achievable targets. - Write down how many hours will it take for each atomized goal. - Write down how many hours you can spare for this item or goal. - Draw dependencies between those and order wise arrange the task. - Take treats at each successful task. - Stuck somewhere ? Walk, excercise or sleep or read from other sources. It gets a lot done.

From my perspective, the best way to learn new algorithm is by applying it in actual projects. Sometime, work does not have flexibility to explore new things. To stay updated with new algorithm skills, I prefer to read tehcnical blogs, Tech Podcast, taking relevant courses to upskill my technical skill and levearge it whenever I get opportunity in my work. Managing your time is very critical to ensure you have sometime everyday to read and learn about new things.

See. Being regular is necessary. Being not fatigue at work is necessary. Being able yo learn new tech is also necessary. Dedicate early morning 1 hour and plan a fall back of 1 hour in the evening to go through your planned tasks. Planning is essential. Being an engineer one must understand the time constraints and do task within those hours. Going out of the hours effects other task and day to day life. It leads to dis satisfaction. So plan according to your bandwidth.

Best book known so far for algorithm, and it is according to me and many other is CLRS(just google it). Apart from this utilize online resources. Know yourself first( What will get you to learn algo) : - Do you prefer self paced online courses ? - Do ypu prefer reading from books which are known as Bible of algo. - Do you need books that have examples ? - Do you prefer free online resources. - Have you played out the plan ? Once you know answer to this, just google your preference and just start. Start is hard part, keeping track of progress is second hard thing. Read through. Do research. Search internet for your solutions. You should be good.

I learn algo for these reasons : - Solve the abstract problems. - Expand our knowledge to understand different scenarios. ( Pattern Recognition) - Understand why you choose to apply an algo when you have a problem in front. - Learn and know the efficient way of doing a problem. - Recognize the real world problems and map it to one or many algo by atomizing the real world problems. - You solved or going to solve a problem at your work ? You see a pattern that can be solved with your practiced algo and then you solve it.

Regular Reflection Helps Identify Areas for Improvement: Reflecting on my learning journey helped me realize I needed more practice with sorting algorithms. Celebrate Successes to Stay Motivated: After mastering a new algorithm, I celebrated by sharing my progress with colleagues. Adjust Strategies as Needed: I adjusted my learning strategy after realizing I needed more hands-on practice with coding challenges. Self-Awareness Guides Ongoing Learning: Reflecting on my experiences helped me identify areas where I needed more practice, like data structures. Balance Learning with Job Responsibilities: I prioritized my learning during lunch breaks and after work to avoid impacting my job performance.