Roadmap to learn to code
Tags: programming, education
Published: 2023-10-28 16:31:49

**Introduction**
     Many individuals have attempted preparation and cover various topics, creating a plan and using resources like tutorials and videos. However, after a few days or months, they realize they are not making progress and find the situation overwhelming.
Programming paradigms, such as Object-oriented programming (OOPs), Functional programming, and procedural programming, are styles or structures of programming that developers should understand to create efficient and flexible code, allowing them to make broader choices. This roadmap is to guide beginners to improve quickly in the art of coding.

**How to fasten the process of learning to Code**

**Choose the programming language you want to learn and learn its basics:**
Choose a programming language that suits your needs and preferences. Explore different languages, read about them, and try them in your code editor. Avoid confusion and switch to different languages based on factors like compatibility, speed, or compatibility with multiple languages. Choose a language you're comfortable with and stick with it, as it typically takes 4-5 days to learn.
The basic concepts you should learn are:
1.Displaying outputs and providing inputs
2.Data types
3.Iterations(loops)
4.Arrays
5.Strings
Some courses for this is:
Python-[100 Days of Code: The Complete Python Pro Bootcamp for 2023](https://pacificmultiverse.com/course/100-days-of-code-the-complete-python-pro-bootcamp-for-2023/)
C++-[Beginning C++ Programming - From Beginner to Beyond](https://www.udemy.com/course/beginning-c-plus-plus-programming/)

**Learn the concepts of Data structures and algorithms**
Here first you need to learn the complexities related to time and space complexities. The complexities of code execution are influenced by input parameters, device speed, and data transfer speed, which can impact the execution time.
Learn Data Structures and Algorithms, a crucial subject in coding interviews, covering the basics of various data structures and algorithms, including their complexity. The important topics are:
Time and Space Complexity Analysis
* Sorting
* Searching
* Arrays
* Stacks and Queues
* Linked List
* Trees
* Graphs 

**Practice, Practice and Practice**
Practice basic data structure and algorithm for coding questions to prepare for medium-level problems. I will refer to [Geekforgeeks](https://practice.geeksforgeeks.org/explore?page=1&sortBy=submissions&itm_source=geeksforgeeks&itm_medium=main_header&itm_campaign=practice_header) for practicing purpose. Solve 200 questions which are basic. Practice medium level questions to prepare for interviews by solving 150-170 questions as medium. 

**Learn The computer architecture and the working of programming languages**
Modern programming languages allow us to create complex applications without worrying about hardware details. This is called abstraction, which simplifies working with higher-level tools. However, it's essential to understand the basics of computer architecture, such as microchips, which rely on transistors for function. A single microchip can contain millions or billions of transistors, helping navigate workplace conversations about high CPU and memory usage. One must also learn the working of programming language and other technical aspects like compiler, interpreter, etc. 

**Conclusion**
This article is written by using my experience of 3 years in coding in order to fasten the learning process for new coders.
This is just a roadmap towards that purpose. There are lot of sites that facilitate this learning like:- [Udemy](https://www.udemy.com/), [Codecademy](https://codecademy.com).
You can compare top courses available across various sites on [Pacificmultiverse](https://pacificmultiverse.com/). All the best on your coding journey.