codeTips

The best way to become a full stack developer is to specialize in either Front End or Back End while having a working knowledge of the other and then keep improving the other part over time. Major job responsibilities of Full Stack Developers Developing front end website architecture. Designing user interactions on web pages to make it visually appealing. Developing back end website applications. Creating, managing servers and databases for functionality. Designing and developing effective APIs. Choosing the most appropriate tech stack needed for the product. Ensuring responsiveness of applications. Working alongside graphic designers for web design features. Seeing through a project from conception to finished product. Meeting both client needs as well as technical needs. Testing and fixing bugs or other coding issues, troubleshoot, debug and upgrade software. Create security and data protection settings. Staying abreast of developments in web application frameworks, libraries, software and programming languages. Ensuring cross-platform optimisation for mobile phones. Documenting the application thoroughly and finally deploying the product using relevant cloud services or some similar methods.

All Tips: 1) Iterate with enumerate instead or range(len(x)) 2) Use list comprehension instead of raw for loops 3) Sort complex iterables with sorted() 4) Store unique values with Sets 5) Save memory with Generators 6) Define default values in Dictionaries with .get() and .setdefault() 7) Count hashable objects with collections.Counter 8) Format strings with f-Strings (Python 3.6+) 9) Concatenate strings with .join() 10) Merge dictionaries with {**d1, **d2} (Python 3.5+) 11) Simplify if-statements with if x in list

Dijkstra’s algorithm is probably the most famous method for finding the shortest path between nodes in a graph. In this video, we’ll do more than just explore Dijkstra’s from a theoretical standpoint. We’ll also code it in Python, and then run that code against a sample graph, line by line, to really understand how it works. Apart from that, we’ll also touch on other topics, like graphs and priority queues. 00:00 Intro 01:32 Graphs 05:38 Algorithm explanation 16:57 Graph code representation 18:36 Algorithm coding 21:26 Algorithm execution Full Data Structures and Algorithms course: https://www.udemy.com/course/data-structures-and-algorithms-in-python-gb/?referralCode=5C62F92791330B50A24D Python heapq (priority queue) docs - https://docs.python.org/3/library/heapq.html Music by - https://www.fesliyanstudios.com/ Images by - https://pixabay.com/users/clker-free-... https://pixabay.com/users/gdj-1086657/

This is my old setup, 2022, but i promise that i will show my updated setup very soon