https://roadmap.sh/python More on reddit.com

Road-map Here's a Python road-map to take you from complete beginner to advanced with machine learning. I don't know what area of computer science you're interested in (AI, web dev, etc.) but I'd say do everything up to intermediate and then branch off. You'll need everything up to intermediate to have any chance of passing a tech interview if you want to do this as a career. Hopefully, this provides some framework for you to get started on: Beginner Data Types - Lists, Strings, Tuples, Sets, Floats, Ints, Booleans, Dictionaries Control Flow/Looping - for loops, while loops, if/elif/else Arithmetic and expressions I/O (Input/Output) - Sys module, Standard input/output, reading/writing files Functions Exceptions and Error Handling Basics of object oriented programming (OOP) (Simple classes). Intermediate Recursion More advanced OOP - Inheritance, Polymorphism, Encapsulation, Method overloading. Data Structures - Linked lists, Stacks, Queues, Binary Search Trees, AVL Trees, Graphs, Minimum Spanning Trees, Hash Maps Algorithms - Linear Search, Binary Search, Hashing, Quicksort, Insertion/Selection Sort, Merge Sort, Radix Sort, Depth First Search, Breathe First Search, Prim's Algorithm, Dijkstra's Algorithm. Algorithmic Complexity Advanced - A.I. / Machine Learning/ Data science Statistics Probability Brute Force search Heuristic search (Manhattan Distance, Admissible and Informed Heuristics) Hill Climbing Simulated Annealing A* search Adversarial Search (Minimax & Alpha-Beta pruning) Greedy Algorithms Dynamic Programming Genetic Algorithms Artificial Neural Networks Backpropagation Natural Language Processing Convolutional Neural Networks Recurrent Neural Networks Generative Adversarial Networks Advanced - Full stack web development Computer networks (Don't need to go into heavy detail but an understanding is necessary) Backend web dev tools (flask, django) (This is for app logic, interfacing with databases etc). Front end framework (This is for communicating with the backend) (Angular 6+, React/Redux) With frontend you'll also need - HTML, CSS, Javascript (also good to learn typescript which is using in angular. It makes writing javascript nicer). Relational database (MySQL, PostgreSQL) Non-relational (MongoDB) Cloud computing knowledge is good, (AWS have a free tier that lasts a year, so its a nice way to get to know how that works Resources Books Automate the boring stuff: https://automatetheboringstuff.com Algorithms and Data structures in Python by Goldwasser (Intermediate level) Python Programming: An Introduction to Computer Science Here's some ones for other related and important topics: Clean Code by Robert Martin (How to write good code) The Pragmatic Programmer by Andrew Hunt (General software engineering / best practices) Computer Networking: A Top-Down Approach (Networks, useful depending on the field you're entering, anything internet based this stuff will be important) The Linux Command Line, 2nd Edition (Install the Linux operating system and get used to using the command line, it'll be your best friend). Artificial Intelligence: A Modern Approach Online courses: I am not a fan of youtube for learning as you're just being hand-fed code and not being given any exercises to practice with so I won't be linking youtube video series here. In fact I'm not a fan of video courses in general but these two are good. Udemy - Complete Python Masterclass (This is for beginners stage). Coursera - Deep Learning Specialization by Andrew Ng (Advanced - A.I.) Most importantly, practice, practice, practice. You won't get anywhere just watching videos of others programming. Try dedicate an hour a day or 2 hours a day on the weekend if you can. More on reddit.com

I wrote a blog post collecting resources about the stuff I learned to become a MLE over the course of about 18 months. https://www.maxmynter.com/pages/blog/become-mle More on reddit.com

By doing a lot of different kinds of projects by hand. More on reddit.com