DSA Crash Course [Part 35] - Zipper Lists Walkthrough

In this lesson, Alvin walks through the python implementation for the *zipper_lists* problem.

Code along and test your work in the following editor workspace: <https://structy.net/problems/zipper-lists?language=py>

If you need additional support taking these DSA skills and actually applying them, take [**Alvin's**](https://www.linkedin.com/in/alvin-zablan-b73a92117/) *complete* data structures and algorithms course on [**Structy**](https://structy.net/?utm_source=taro). You can try out the concepts yourself in their interactive code editor and learn advanced DSA patterns like stack exhaustive recursion.

Use [**this link to get 20% off**](https://structy.net/purchase?promo_code=taro20) the entire Structy DSA learning experience.

Follow Alvin on LinkedIn: <https://www.linkedin.com/in/alvin-zablan-b73a92117/>

DSA Crash Course [Part 21] - Sum Numbers Recursive Walkthrough

In this lesson, Alvin walks through the python implementation for the *sum_numbers_recursive* problem.

Code along and test your work in the following editor workspace: <https://structy.net/problems/sum-numbers-recursive?language=py>

If you need additional support taking these DSA skills and actually applying them, take [**Alvin's**](https://www.linkedin.com/in/alvin-zablan-b73a92117/) *complete* data structures and algorithms course on [**Structy**](https://structy.net/?utm_source=taro). You can try out the concepts yourself in their interactive code editor and learn advanced DSA patterns like stack exhaustive recursion.

Use [**this link to get 20% off**](https://structy.net/purchase?promo_code=taro20) the entire Structy DSA learning experience.

Follow Alvin on LinkedIn: <https://www.linkedin.com/in/alvin-zablan-b73a92117/>

DSA Crash Course [Part 20] - Sum Numbers Recursive Approach

In this lesson, Alvin explores the strategy to solving the following interview problem:

> Write a function *sum_numbers_recursive* that takes in an array of numbers and returns the sum of all the numbers in the array. All elements will be integers. Solve this recursively.

```
sum_numbers_recursive([5, 2, 9, 10]); # -> 26
```

```
sum_numbers_recursive([1, -1, 1, -1, 1, -1, 1]); # -> 1
```

```
sum_numbers_recursive([]); # -> 0
```

```
sum_numbers_recursive([1000, 0, 0, 0, 0, 0, 1]); # -> 1001
```

If you need additional support taking these DSA skills and actually applying them, take [**Alvin's**](https://www.linkedin.com/in/alvin-zablan-b73a92117/) *complete* data structures and algorithms course on [**Structy**](https://structy.net/?utm_source=taro). You can try out the concepts yourself in their interactive code editor and learn advanced DSA patterns like stack exhaustive recursion.

Use [**this link to get 20% off**](https://structy.net/purchase?promo_code=taro20) the entire Structy DSA learning experience.

Follow Alvin on LinkedIn: <https://www.linkedin.com/in/alvin-zablan-b73a92117/>

DSA Crash Course [Part 16] - Intersection Approach

In this lesson, Alvin explores the strategy to solving the following interview problem:

> Write a function, *intersection*, that takes in two lists, *a*,\_b\_, as arguments. The function should return a new list containing elements that are in both of the two lists.
>
> You may assume that each input list does not contain duplicate elements.

```
intersection([4,2,1,6], [3,6,9,2,10]) # -> [2,6]
```

```
intersection([2,4,6], [4,2]) # -> [2,4]
```

```
intersection([4,2,1], [1,2,4,6]) # -> [1,2,4]
```

If you need additional support taking these DSA skills and actually applying them, take [**Alvin's**](https://www.linkedin.com/in/alvin-zablan-b73a92117/) *complete* data structures and algorithms course on [**Structy**](https://structy.net/?utm_source=taro). You can try out the concepts yourself in their interactive code editor and learn advanced DSA patterns like stack exhaustive recursion.

Use [**this link to get 20% off**](https://structy.net/purchase?promo_code=taro20) the entire Structy DSA learning experience.

Follow Alvin on LinkedIn: <https://www.linkedin.com/in/alvin-zablan-b73a92117/>

DSA Crash Course [Part 9] - Anagrams Walkthrough

In this lesson, Alvin walks through the python implementation for the *anagrams* problem.

Code along and test your work in the following editor workspace <https://structy.net/problems/anagrams?language=py>

If you need additional support taking these DSA skills and actually applying them, take [**Alvin's**](https://www.linkedin.com/in/alvin-zablan-b73a92117/) *complete* data structures and algorithms course on [**Structy**](https://structy.net/?utm_source=taro). You can try out the concepts yourself in their interactive code editor and learn advanced DSA patterns like stack exhaustive recursion.

Use [**this link to get 20% off**](https://structy.net/purchase?promo_code=taro20) the entire Structy DSA learning experience.

Follow Alvin on LinkedIn: <https://www.linkedin.com/in/alvin-zablan-b73a92117/>

Master The DSA Interview [Part 24] - It's About Consistency

How should you spend your time with data structures and algorithms problems? This lesson teaches you:

- Why it's better to have consistent, more reasonably sized studying blocks for data structures and algorithms instead of monster 1-day sprints
- What a good data structures and algorithms prep schedule looks like, shown with an in-depth example

Master The DSA Interview [Part 20] - Missing What Matters

When you're doing a data structures and algorithms interview, you don't have a ton of time. That's why it's important to focus on what matters. This lesson teaches you:

- What order to code your solution in when it comes to happy flow and edge cases
- Why the core data structures and algorithms themselves often aren't that important during the interview
- How to get functionality for free, explained with a real-life Meta interview example
- A tactic you can use to prioritize components of your data structures and algorithms solution properly

Master The DSA Interview [Part 13] - You Must Be Fast

Quality is important, but quantity is too, which is mainly demonstrated with velocity. This lesson teaches you:

- Why raw speed is so important with data structures and algorithms interviews in particular
- The quantity bar you need to hit to pass a data structures and algorithms interview the vast majority of the time
- Why interviewers often ask 2 data structures and algorithms problems in a single round
- How an interviewer asking you a harder data structures and algorithms could actually mean that they're trying to save you
- Tips for getting faster at data structures and algorithms

Break Into Tech And Become A Software Engineer [Part 7] - The 6 Steps For A Great Side Project

In this lesson, Brian walks through six key steps for creating a meaningful and impactful side project that builds skills, credibility, and even potential business opportunities.

Brian's ["Side Project Template" Google Doc](https://docs.google.com/document/d/1H508NN2HCnnKmkRMgCg3pj_mXr3i8x3Np0jS6w4xzCs/edit#heading=h.cueymdkrqyb1).

This lesson covers:

- Starting with data or APIs to ensure your project is feasible and solves a real problem you care about
- Choosing the right front-end and back-end stack that balances familiar and new technologies while focusing on full-stack development
- Structuring your project with clear user flows, a deployment strategy, and involving real users for feedback, making your project more impressive and valuable in interviews

If you need extra help breaking into tech, join Brian's exclusive, cohort-based bootcamp (just 10 students per batch). Use this special link for $800 off: <https://www.parsity.io/taro>

Connect with Brian on LinkedIn: <https://www.linkedin.com/in/brianjenney/>

Break Into Tech And Become A Software Engineer [Part 6] - Build A Side Project

In this lesson, Brian explains the value of building side projects that not only boost your technical skills but also help you stand out in the job market.

This lesson covers:

- How a well-crafted side project can help you learn new technologies and fill knowledge gaps without needing formal training or mentorship
- The importance of focusing on meaningful, long-term projects that you are passionate about, rather than numerous small, disconnected ones
- Using a self-assessment worksheet to identify your knowledge gaps, create a learning plan, and design side projects that address those gaps and align with your career goals

If you need extra help breaking into tech, join Brian's exclusive, cohort-based bootcamp (just 10 students per batch). Use this special link for $800 off: <https://www.parsity.io/taro>

Connect with Brian on LinkedIn: <https://www.linkedin.com/in/brianjenney/>

Career roadmap worksheet: <https://docs.google.com/document/d/1OpjXtJeQ93TGIz8z9u-p_lYNbhSbk32rPFPDecNMDyM/edit?usp=sharing>

How side projects can even get you into FAANG: [\[Case Study\] Building An App With 1,000,000+ Users To Get Into Facebook](https://www.jointaro.com/lesson/jly45Gx6qR1kqQwBmJEy/case-study-building-an-app-with-1000000-users-to-get-into-facebook/)

Break Into Tech And Become A Software Engineer [Part 3] - Your Advantages As A Career Switcher

In this lesson, we hear about Brian’s non-linear journey into tech, illustrating how anyone can make a career change with determination and the right support.

This lesson covers:

- Brian’s transition from a liberal arts graduate with no computer background to a successful software engineer, overcoming doubts and financial hardships
- The importance of networking and receiving targeted advice from experienced engineers, especially in unexpected settings like ridesharing
- How transitioning professionals have an edge in tech due to prior career experience, and the vast opportunities available beyond just top tech companies

If you need extra help breaking into tech, join Brian's exclusive, cohort-based bootcamp (just 10 students per batch). Use this special link for $800 off: <https://www.parsity.io/taro>

Connect with Brian on LinkedIn: <https://www.linkedin.com/in/brianjenney/>

Grow From Junior To Mid-Level Engineer [Part 14] - 1 on 1 Meetings

1 on 1 meetings are some of the most important and powerful uses of time... when leveraged properly (which junior engineers often don't). This lesson teaches you:

- The difference between junior and mid-level engineers when it comes to 1 on 1 meetings
- The simple, proactive tactic you should use for every single 1 on 1 meeting you have to make them far more useful

Grow From Junior To Mid-Level Engineer [Part 13] - Be A Feedback Sponge

We all have blind spots, and you need feedback to see them. Getting feedback is especially important as an engineer given how information-dense the software field is. This lesson teaches you:

- Why a surprising amount of junior engineers are terrible with feedback
- Why you should almost never push back against feedback you disagree with
- How not being good with feedback can severely damage your career, explained with an in-depth example
- The differences between junior and mid-level engineers when it comes to handling feedback

For additional inspiration on truly becoming a feedback sponge, check out the words of wisdom from OpenAI ChatGPT engineer [Philip Su](https://www.linkedin.com/in/suphilip/) here: ["What's the core insight behind quick growth?"](https://www.jointaro.com/question/nJ762p255cGyuth36H6w/whats-the-core-insight-behind-quick-growth/)

Grow From Junior To Mid-Level Engineer [Part 11] - Ask Great Questions

In order to grow fast as an engineer, you need to ask a lot of questions. This lesson teaches you:

- The differences between junior and mid-level engineers when it comes to asking question, particularly question quality
- What a junior engineer question looks like vs. a mid-level engineer question
- How to demonstrate technical mastery in your questions to make yourself look even better when asking for help

Master the art of question asking with our course: [Ask Great Questions That Get Great Answers Quickly](https://www.jointaro.com/course/ask-great-questions-that-get-great-answers-quickly/)

Asking Great Questions [Part 22] - Learn To Fish

Getting the answer to your question isn't enough: If you want to respect the person who helped you, make sure to follow through on the end-to-end learning. This lesson teaches you:

- A common mistake engineers make when getting an answer that's too shallow
- What engineers should do to follow-up on an answer and get full value
- Why it's better to potentially annoy your helper with more questions now instead of later
- The difference between knowledge and mastery, why the latter is so critical for your career, and how asking great questions is intrinsically tied to mastery-building

Maximize Your Productivity As A Software Engineer [Part 17] - The Demon In Your Pocket

Smart phones unlock infinite opportunity, but they also unlock infinite distraction - We've all lost countless hours towards mindlessly scrolling through the many addictive apps on our mobile devices. This lesson teaches you:

- A basic tactic to prevent you from getting distracted by your smart phone
- A more involved and technical tactic to discourage smart phone user, which Alex is a big fan of
- An extremely aggressive tactic to get your smartphone away from you, used by a Staff Engineer at LinkedIn who's also a parent!

[Timeless Career Advice] Junior to Senior Engineer (And Beyond)

Congratulations, you made it to the end of the course, **Timeless Career Advice for Software Engineers**!

Bonus documents available to you: 

- [Timeless Advice for SWE Careers \[Cheat Sheet\]](https://drive.google.com/file/d/1gzvPMib9IM1yRdz7qiTIKtcEZFIF0GyQ/view?usp=drive_link)
- [Promotion Guide \[Cheat Sheet\]](https://drive.google.com/file/d/1d8tq9EEL7ZeXKMMf4SFC9zjrOZT7-0nc/view?usp=drive_link)
- [Louie's Income Progression in Tech](https://drive.google.com/file/d/1OKtp67v8V0k52GXnQ9yYsn2n-0zb7dIQ/view?usp=drive_link)

Connect with Louie:

- SmallBets community: [**https://smallbets.com/?utm_source=taro**](https://smallbets.com/?utm_source=taro)
- Twitter: [**https://twitter.com/LBacaj**](https://twitter.com/LBacaj)
- Newsletter: [**https://newsletter.memesmotivations.com/**](https://newsletter.memesmotivations.com/)

Feel free to share any feedback on this course with us at [**team@jointaro.com**](mailto:team@jointaro.com).

Share + get support on the Taro forum: [**joinTaro.com/questions/create/**](http://joinTaro.com/questions/create/)

[Timeless Career Advice] Empathy as an Engineer

Grow From Mid-Level To Senior Engineer [Part 19] - Onboarding

Onboarding is one of the most important processes for any healthy engineering team. Helping the newbies is both critical and rewarding. This lesson teaches you:

- How a senior engineer levels up the team more when helping with onboarding compared to a mid-level engineer
- Different ways to achieve multiplicative impact with onboarding instead of singular, even when you are the one onboarding!

Grow From Mid-Level To Senior Engineer [Part 18] - Build A Strong Internal Network

If you have a meaningful bench of people who are willing to fight for your success, you will succeed as a software engineer. One of the simplest ways to understand seniority is that this bench grows larger and larger over time. This lesson teaches you:

- How an engineer's internal network at a company evolves as they grow from mid-level to senior, both in terms of breadth and depth
- How to expand your internal network
- The difference in peer feedback that mid-level engineers get compared to senior engineers, especially with XFN (cross-functional) partners

To dive deeper into earning trust quickly and building relationships: [\[Masterclass\] How To Build Deep Relationships Quickly In Tech](https://www.jointaro.com/lesson/tyaPFMXPoz2pmzB7OVzt/masterclass-how-to-build-deep-relationships-quickly-in-tech/)

Tech Career Growth Videos

Our instructional videos provide software engineers with insights needed for career growth. Masterclasses go incredibly in-depth on a specific tech topic while case studies are real examples from established engineering leaders.