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How I would learn to code (if I could start over)
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How I would learn to code (if I could start over)

Learning Coding: Step-by-Step Approach

In this section, the speaker introduces their experience with coding and outlines a step-by-step approach to learning coding efficiently.

Step-by-Step Approach to Learning Coding

  • Python is recommended as the starting language due to its beginner-friendly nature, versatility, simple syntax, and extensive documentation.
  • Basics to cover include variables, data types (strings, floats, ints), arrays, loops, functions, if statements, and object-oriented programming concepts.
  • Interactive websites like freeCodeCamp and Codecademy are suggested for hands-on learning without the need for extensive setup time.
  • Emphasizes the importance of practical application while learning through videos or books to reinforce understanding.
  • Encourages exploration beyond prescribed tasks to deepen comprehension of concepts like data types and function behavior.

Effective Learning Timeline

This section focuses on establishing an efficient timeline for mastering coding fundamentals and transitioning into project-based learning.

Efficient Learning Timeline

  • Recommends dedicating four hours daily for two weeks to cover basic concepts without fixating on minute details but focusing on understanding fundamental concepts practically.
  • Emphasizes the significance of embarking on projects early in the learning process as a key component of mastering coding skills.
  • Criteria for selecting initial projects include personal interest/utility and starting with small-scale projects while avoiding direct code replication without comprehension.

Core Programming Projects for Beginners

In this section, the speaker discusses core programming projects suitable for beginners, emphasizing the importance of practical application and project-based learning.

Core Functionality Projects

  • The speaker transformed a core function into a program that takes user inputs regarding fridge contents and recommends recipes based on specific ingredients.
  • Simple games like Blackjack and Poker are recommended for practicing object-oriented programming skills.
  • Introduction to a stock trading bot project involving data manipulation, logic implementation, and brokerage connection for trade execution.

Transition to Intermediate Projects

This part focuses on advancing from beginner to intermediate projects by incorporating data frames, APIs, and enhancing project complexity.

Data Manipulation and APIs

  • Introduction to using pandas data frames for storing tabular data and understanding APIs for software interaction.
  • Progressing from beginner to intermediate levels involves integrating different software pieces through API interactions.

Project Development Timeline & Advice

Discussion on project development timelines, advice post-first project completion, and the significance of algorithms and data structures in coding.

Project Development Timeline & Advice

  • Estimated timeline for completing the first project is around a week for learning and another week for implementation.
  • Post-first project completion advice includes delving into algorithms, data structures, and further learning resources.

Advanced Concepts: Algorithms & Data Structures

Exploring advanced concepts such as algorithms, data structures, their relevance in programming, along with visualizing projects implementing these concepts.

Advanced Concepts Exploration

  • Detailed overview of essential data structures including dictionaries, linked lists, queues, heaps, trees, graphs.

Learning to Code: Tips and Insights

In this section, the speaker provides valuable insights on learning to code efficiently and effectively.

Importance of Problem-Solving Skills

  • Understanding error messages by Googling them can lead to solutions.
  • : Utilize search engines like Google, especially Stack Overflow, for error message resolution.
  • Embrace the uncertainty of coding errors as a natural part of the process.
  • : Developing a mindset that anticipates errors in code fosters problem-solving skills.

Community Engagement and Continuous Learning

  • Joining coding communities or working in coding-related jobs enhances learning.
  • : Engaging with experienced programmers accelerates skill development.
  • Coding is an ongoing journey with continuous learning and project building.
  • : Progression from basics to intermediate levels requires consistent project work.

Embracing Growth and Career Development

  • Constant evolution in coding necessitates embracing lifelong learning.
  • : The field evolves rapidly, requiring adaptation to new tools and technologies.
  • Coding proficiency offers freedom and empowerment for personal projects.
Video description

Want to get ahead in your career using AI? Join my FREE workshop: https://www.lonelyoctopus.com/workshop It's about learning, coding, and generally how to get your sh*t together c: In this video, I give you my step by step process on how I would learn to code if I could start over again. I also provide you with some of my recommended resources, explain how to choose a project, and specific projects to do. Perhaps most importantly, I give you tips on adopting the correct mindset and mentality that will help you learn to code faster and become better faster (these were my mistakes). ✉️ NEWSLETTER: https://tinahuang.substack.com/ 🔗Affiliates ======================== Python for everyone on Coursera: https://coursera.pxf.io/gbeaxB My SQL for data science interviews course (10 full interviews): https://365datascience.com/learn-sql-for-data-science-interviews/ 365 Data Science: https://365datascience.pxf.io/WD0za3 (link for 57% discount for their complete data science training) Check out StrataScratch for data science interview prep: https://stratascratch.com/?via=tina 🎥 My Filming Setup ======================== 📷 camera: https://amzn.to/3LHbi7N 🎤 mic: https://amzn.to/3LqoFJb 🔭 tripod: https://amzn.to/3DkjGHe 💡 lights: https://amzn.to/3LmOhqk ⏰Timestamps ======================== 00:00 intro 00:56 why choose python 01:14 what to learn 01:31 recommended resources 02:21 how to use resources efficiently 03:36 timeline for learning basics 04:20 how to choose your first project 05:02 example projects! 07:59 what to learn next 08:29 data structures and algorithms project 08:39 what to learn next 09:26 correct mindset 11:39 how to learn even faster 💻Links mentioned in video ======================== freeCodeCamp: https://www.freecodecamp.org/ Codecademy: https://www.codecademy.com/ Python for everyone on Coursera: https://coursera.pxf.io/gbeaxB learn python the hard way: https://www.amazon.com/Learn-Python-Hard-Way-Introduction/dp/0321884914 python crash course: https://www.amazon.com/dp/B07J4521M3/ref=dp-kindle-redirect?_encoding=UTF8&btkr=1 blackjack starter tutorial: https://towardsdatascience.com/lets-play-blackjack-with-python-913ec66c732f poker starter tutorial: https://towardsdatascience.com/poker-with-python-how-to-score-all-hands-in-texas-holdem-6fd750ef73d tic tac toe starter tutorial: https://medium.com/byte-tales/the-classic-tic-tac-toe-game-in-python-3-1427c68b8874 snake starter tutorial: https://www.edureka.co/blog/snake-game-with-pygame/ maze tutorial: https://medium.com/swlh/fun-with-python-1-maze-generator-931639b4fb7e 🔗Affiliates ======================== 365 Data Science: https://bit.ly/3tIUBCY (link for 57% discount for their complete data science training) Check out StrataScratch for data science interview prep: https://stratascratch.com/?via=tina 📲Socials ======================== instagram: https://www.instagram.com/hellotinah/ linkedin: https://www.linkedin.com/in/tinaw-h/ discord: https://discord.gg/5mMAtprshX 🤯Study with Tina ======================== Study with Tina channel: https://www.youtube.com/channel/UCI8JpGrDmtggrryhml8kFGw How to make a studying scoreboard: https://www.youtube.com/watch?v=KAVw910mIrI Scoreboard website: scoreboardswithtina.com livestreaming google calendar: https://bit.ly/3wvPzHB 🎥Other videos you might be interested in ======================== How I consistently study with a full time job: https://www.youtube.com/watch?v=INymz5VwLmk How I would learn to code (if I could start over): https://www.youtube.com/watch?v=MHPGeQD8TvI&t=84s 🐈‍⬛🐈‍⬛About me ======================== Hi, my name is Tina and I'm a data scientist at a FAANG company. I was pre-med studying pharmacology at the University of Toronto until I finally accepted that I would make a terrible doctor. I didn't know what to do with myself so I worked for a year as a research assistant for a bioinformatics lab where I learned how to code and became interested in data science. I then did a masters in computer science (MCIT) at the University of Pennsylvania before ending up at my current job in tech :) 📧Contact ======================== youtube: youtube comments are by far the best way to get a response from me! linkedin: https://www.linkedin.com/in/tinaw-h/ email for business inquiries only: hellotinah@gmail.com ======================== Some links are affiliate links and I may receive a small portion of sales price at no cost to you. I really appreciate your support in helping improve this channel! :) #learntocode #howtolearntocode #TinaHuang