Python Course
The Python course is a practical course that includes the use of Python for solving real-world problems.
The course, in its current form, has been enhanced through the demand of Intel Corporation and has been delivered to hundreds of engineers, software engineers, QA personnel, and automation professionals in dozens of tech companies, including Intel, IBM, and more. Real Time Group's Python course is built with a focus on the needs of the tech industry, aiming to prepare you in the best way possible for your next role!
The Python course at RTG College provides all the relevant knowledge and practical experience needed to develop a career or continue advanced studies in various IT fields. Learning software development using Python: Python courses are designed to provide the knowledge, techniques, and tools required to enable the professional development of complex programs using Python in various tech sectors. The goal is to tailor the course's approach to both those lacking knowledge and experience in software and to experienced developers.
Python is a high-level programming language that was developed as open-source software in the early 1990s. Since then, the language has undergone numerous changes and continues to undergo various improvements and upgrades.
Python is also taught as part of a comprehensive QA course that includes both automated and manual software testing tools, database basics, and more.
Python is designed in a way that makes programming easier for the developer, essentially handling a significant portion of the work. This characteristic contributes to its fast performance compared to languages like C, for example.
The development goal of the Python language is to create a simple, elegant, and easy-to-write language. This is also the reason its syntax is more elegant than that of other languages. It runs on a variety of operating systems (Linux, Windows, macOS), and this is what you will learn in the course.
Python is not used for Real-Time development. In other words, you cannot access the core of the operating system. However, it is suitable for high-performance tools. This is achieved by connecting modules from the C or C++ languages, among other things. It manages memory automatically during runtime, similar to Java.
The Python language is suitable for functional programming, object-oriented programming (OOP) that includes classes, objects, inheritance, functions, and more. It is suitable for a variety of programming tools, ranging from simple files to complex applications.
Due to its usage for over two decades, this language has a highly active developer community. It's a robust and stable language implemented by large companies like NASA and animation companies such as Pixar. Google also employs this language for some of its projects and on the YouTube website.
The language has a broad usage. Determining the exact number of users is challenging because Python installation licenses are not registered, and many operating systems include Python by default. For instance, the Mac OS and the majority of Linux distributions.
However, the estimation is over a million users. The Python language is optimal for testing Kernel modules and Device Drivers for embedded systems, as well as for general-purpose operating systems (such as Linux).
Python programming language has been highly popular since its early days in the 1990s. Nowadays, Python's development is constantly evolving, and a wide range of tech companies in Israel and around the world choose this language for development and implementation within their projects.
Python development comes with several key advantages that contribute to the language's popularity and the increasing demand for Python developers:
Due to Python's numerous benefits, many companies incorporate the language into different projects. As a result, the demand for experienced Python developers naturally grows.
Here are several employment and professional development options for graduates of the Python course:
Towards the end of the Python course, each student will complete a practical project that summarizes the acquired knowledge during the course. The lectures are conducted once a week in the evenings or mornings.
Ch. 1
Communication via python
Ch. 2
Python Basic
Ch. 3
Programming Basics
Ch. 4
Strings in Python
Ch. 5
Numbers and Operators
Ch. 6
Python Variables
Ch. 7
Python Functions
Ch. 8
Classes and Objects
Ch. 9
Files and Directories
Ch. 10
Using and Building Modules
Ch. 11
Creating GUI with Python
Ch. 12
Programming optimized code with Python
Ch. 13
Multi-Threading with Python
Ch. 14
Using Python for Managing SQL DB
Ch. 15
Networking (Socket Programming) in Python
Ch. 16
Using Python for Web Development
Ch. 17
Design Patterns with Python
Ch. 18
Python for Embedded Systems
Dmitri Danilov
Head of QA and DevOps Departments
Holds a Bachelor of Science in Computer Science, Network manager, and C++ developer. UI/UX user interface developer for Android applications. Has a vast experience working with Jenkins, Git, Docker, K8S, Ansible, and as a Linux admin.