Unlock Your Potential with Python Whether you’re a beginner or an experienced coder, Python is your key to mastering the …

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NEWSLETTER: https://tinahuang.substack.com/
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).

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:

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:

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

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

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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

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This Python tutorial for beginners show how to get started with Python quickly. Learn to code in 1 hour! Watch this tutorial get started!
Want to master Python? Get my Python mastery course: http://bit.ly/35BLHHP
Subscribe for more Python tutorials like this: https://goo.gl/6PYaGF

Get my FREE Python cheat sheet: http://bit.ly/2Gp80s6

Courses: https://codewithmosh.com
Twitter: https://twitter.com/moshhamedani
Facebook: https://www.facebook.com/programmingwithmosh/
Blog: http://programmingwithmosh.com

#Python, #MachineLearning, #WebDevelopment

Python Exercises for Beginners: https://goo.gl/1XnQB1

My Favorite Python Books
– Python Crash Course: https://amzn.to/2GqMdjG
– Automate the Boring Stuff with Python: https://amzn.to/2N71d6S
– A Smarter Way to Learn Python: https://amzn.to/2UZa6lE
– Machine Learning for Absolute Beginners: https://amzn.to/2Gs0koL
– Hands-on Machine Learning with scikit-learn and TensorFlow: https://amzn.to/2IdUuJy

TABLE OF CONTENT

0:00:00 Introduction
0:00:30 What You Can Do With Python
0:01:15 Your First Python Program
0:05:30 Variables
0:09:08 Receiving Input
0:10:48 Type Conversion
0:18:49 Strings
0:23:41 Arithmetic Operators
0:25:59 Operator Precedence
0:27:11 Comparison Operators
0:28:52 Logical Operators
0:31:06 If Statements
0:36:16 Exercise
0:41:42 While Loops
0:45:11 Lists
0:48:47 List Methods
0:52:16 For Loops
0:54:54 The range() Function
0:57:43 Tuples

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Python tutorial – Python full course for beginners – Go from Zero to Hero with Python (includes machine learning & web development projects).

Want to master Python? Get my Python mastery course: http://bit.ly/35BLHHP
Subscribe for more Python tutorials like this: https://goo.gl/6PYaGF

Watch the new edition: https://youtu.be/kqtD5dpn9C8

Get my FREE Python cheat sheet: http://bit.ly/2Gp80s6

Want to learn more from me?

Courses: https://codewithmosh.com
Twitter: https://twitter.com/moshhamedani
Facebook: https://www.facebook.com/programmingwithmosh/
Blog: http://programmingwithmosh.com

#Python, #MachineLearning, #WebDevelopment

Supplementary Materials (Spreadsheet): https://bit.ly/3cb2YNo

Python Exercises for Beginners: https://goo.gl/1XnQB1

My Favorite Python Books
– Python Crash Course: https://amzn.to/2GqMdjG
– Automate the Boring Stuff with Python: https://amzn.to/2N71d6S
– A Smarter Way to Learn Python: https://amzn.to/2UZa6lE
– Machine Learning for Absolute Beginners: https://amzn.to/2Gs0koL
– Hands-on Machine Learning with scikit-learn and TensorFlow: https://amzn.to/2IdUuJy

TABLE OF CONTENT

00:00:00 Introduction
00:01:49 Installing Python 3
00:06:10 Your First Python Program
00:08:11 How Python Code Gets Executed
00:11:24 How Long It Takes To Learn Python
00:13:03 Variables
00:18:21 Receiving Input
00:22:16 Python Cheat Sheet
00:22:46 Type Conversion
00:29:31 Strings
00:37:36 Formatted Strings
00:40:50 String Methods
00:48:33 Arithmetic Operations
00:51:33 Operator Precedence
00:55:04 Math Functions
00:58:17 If Statements
01:06:32 Logical Operators
01:11:25 Comparison Operators
01:16:17 Weight Converter Program
01:20:43 While Loops
01:24:07 Building a Guessing Game
01:30:51 Building the Car Game
01:41:48 For Loops
01:47:46 Nested Loops
01:55:50 Lists
02:01:45 2D Lists
02:05:11 My Complete Python Course
02:06:00 List Methods
02:13:25 Tuples
02:15:34 Unpacking
02:18:21 Dictionaries
02:26:21 Emoji Converter
02:30:31 Functions
02:35:21 Parameters
02:39:24 Keyword Arguments
02:44:45 Return Statement
02:48:55 Creating a Reusable Function
02:53:42 Exceptions
02:59:14 Comments
03:01:46 Classes
03:07:46 Constructors
03:14:41 Inheritance
03:19:33 Modules
03:30:12 Packages
03:36:22 Generating Random Values
03:44:37 Working with Directories
03:50:47 Pypi and Pip
03:55:34 Project 1: Automation with Python
04:10:22 Project 2: Machine Learning with Python
04:58:37 Project 3: Building a Website with Django

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