When starting to learn how to code, students are bound to make mistakes if they go AWOL with their personal projects. And the desire to create ones is completely understandable ‘cause, let’s admit, programming is not the kind of a degree you can obtain by hiring someone to “ write my essay for me “ and complete other papers. You need to practice day and night.
Sure, you could go with the curriculum and not rush developing new skills. However, before you start practicing coding, there may be a lot of theoretical material. The latter is definitely needed to become a well-rounded programmer, but if you are willing to start a pet project, like, right now, we have prepared a short guide for you!
From this article, you will learn what tools to choose to start your first project. It will be especially useful for students whose major degree isn’t related to programming and who don’t have a reliable mentor. However, be ready that with no prior knowledge, mastering each tool can be a bit more complex. So, consider addressing one of the essay writing service to manage your written assignments, at least.
Table of Contents
You could use Visual Studio Code for any kind of project you’d like. It’s a universal tool with various extensions you can manage yourself. Yet, when it comes to specifics, you might find that extensions can’t substitute an editor crafted for this or that language. So, here are the leaders to choose from:
- WebStorm (JS)
- CLion (C/C++)
- PhpStorm (PHP)
- PyCharm (Python)
- IntelliJ IDEA (Java)
If you aren’t familiar yet with working via the command line instead of a pretty interface, be sure it’s inevitable. Apps like GitHub Desktop might sound like a life-saver, but they have limited functionality and don’t really help you understand what is going on under the hood. So, master this before you actually start serious coding.
Version Control System
Storing your code is one of the first things you should take care of to avoid losing all the precious work you’ve done. When it comes to cloud storage, there are three main options:
- GitHub (mostly suitable for open-source projects)
Make sure you learn a few things about SSH codes and how branches in version control systems work, first. For that, you will need to get acquainted with Git basics to handle different versions of code as well as merge and edit them in a team of developers. Git will also preserve your data locally just like in the cloud storage. Now, let’s identify the groups of language and its adjacent tools based on what you are trying to achieve.
Web Applications or Web Pages
What concerns the backend, you could use PHP, Node.js, or Python for the majority of projects. Yet, if you use Angular for the frontend, then Nest.js for the backend is recommended. MongoDB and Mongoose will help you handle the database stuff. Yet, from there, it becomes a bit more complicated.
CRM or Admin Panel
These kinds of projects do not require to be marketed. There are already clients who want and need it, so they won’t use Google to find them. React.js is perfect for such websites since the library doesn’t provide good SEO. In other terms, it’s an excellent tool to create interactive and fast UI.
Forum or Social Media
Here, you can opt for React Native (both iOS and Android apps) or Ionic (hybrid apps) to stay within the JS ecosystem. Besides, with knowledge of React, you’d master the former in no time. However, if you deal with native applications, those require working with other tools: Swift (for iOS) or Java/Kotlin(for Android).
Software & Desktop Apps
Java is a versatile language commonly used for developing software and desktop applications. Its platform independence and vast ecosystem make it suitable for building applications that run on different operating systems.
Creation of Databases
When it comes to creating databases for your projects, SQL (Structured Query Language) is widely used, and it’s a fundamental skill for many developers. SQL allows you to interact with databases, perform queries, and manage data effectively. It provides a standardized way to store, retrieve, and manipulate structured data.
You will need EXPLAIN (for optimization) and one of the database management systems below:
For database modeling and design, consider using MySQL Workbench. It’s most suitable since you can also use it for administration.
The basic set of tools for a machine learning project is as follows:
- Flask (Python web framework)
- Selenium (for data extraction and automation tasks)
- OpenCV (if you need image or video processing)
- PyTorch (for building neural networks)
Also, you will need to work with SQL databases and use Docker to simplify the deployment and management of your application.
When starting a project, consider its purpose, the problem to be solved, and the requirements. Depending on whether it’s web development, mobile apps, software, or machine learning, choose the appropriate language and associated tools based on the tips above. And, obviously, be patient! It will take some time to get acquainted with the new tools but won’t be in vain!