Python Course Online - Embedded Academy

Python Course

Our 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. Python programming language has been highly popular since its beginning in the 1990s. Nowadays, Python's development is constantly evolving, and a wide range of global tech companies use this language for development and implementation within their projects. The reasons provide several key advantages that contribute to the language's popularity and the increasing demand for Python developers:

Wide variety of uses and employment opportunities.
Supportive developer community that offers solutions when needed.
Flexible and easy-to-learn syntax relative to other programming languages.
Code libraries for various topics that significantly shorten the development process.
High effectiveness in important areas such as automation and database manipulation.
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:

Embedded Systems Development with Python
Data Analysis
Data Mining and Processing Industry
Web Development
AI - Machine Learning
Writing automation code as a DevOps engineer

Why Learn Python

Versatility: Python is used in web development, data science, AI, machine learning, automation, and more.
Ease of Learning: Python's clean syntax and readability make it ideal for beginners and experts alike.
High Demand: Python consistently ranks as one of the most in-demand programming languages in the job market.
Extensive Libraries: Python's vast ecosystem of libraries and frameworks accelerates development across various domains.
Community Support: A large, active community provides resources, tools, and solutions to common problems.
Scalability: Python can handle everything from simple scripts to complex, enterprise-level applications.
Integration Capabilities: Python easily integrates with other languages and platforms, enhancing its utility in diverse environments.

What You Learn in Our Python course

Python Fundamentals: Syntax, data types, variables, and basic programming concepts.
Control Structures: Conditional statements, loops, and flow control.
Functions and Modules: Creating reusable code blocks and organizing code.
Object-Oriented Programming: Classes, objects, inheritance, and polymorphism.
File Handling: Reading from and writing to files, working with different file formats.
Error Handling: Managing and handling exceptions in Python programs.
Data Structures: Lists, tuples, dictionaries, sets, and their applications.
Libraries and Frameworks: Introduction to popular Python libraries like NumPy, Pandas, and Django.
Database Interaction: Connecting to and manipulating databases using Python.
Web Development Basics: Creating simple web applications using Python.
Testing and Debugging: Writing unit tests and debugging Python code.
Best Practices: Code organization, documentation, and Python-specific conventions.

Who Should Attend

The Python course is intended for those with no background in software development who are interested in entering the world of development.
The Python course serves as a foundation for the DevOps and software development course.
The Python course is part of the pathway for the international LPI certification exams.

Prerequisites

Basic computer orientation skills using a Windows-operated computer.
No previous knowledge or experience in software development is required.

Skills & Techniques

Problem-solving: Develop logical thinking and problem-solving skills applicable across various domains.
Data Analysis: Learn to process, analyze, and visualize data using Python's powerful libraries.
Automation: Create scripts to automate repetitive tasks and improve efficiency.
Web Scraping: Extract data from websites for analysis or integration into other applications.
API Integration: Interact with web services and APIs to build data-driven applications.
Version Control: Use tools like Git for collaborative development and code management.
Machine Learning Basics: Understand the fundamentals of machine learning using Python libraries.
Software Design: Apply software design principles to create maintainable and scalable applications.
Cross-Platform Development: Write code that runs on different operating systems.
Rapid Prototyping: Quickly develop and test ideas using Python's simplicity and extensive libraries.
Code Optimization: Learn techniques to write efficient and performant Python code.
Data Visualization: Create insightful visual representations of data using libraries like Matplotlib.

These skills and techniques position you to tackle a wide range of programming challenges and open up numerous career opportunities in the tech industry.

Course Structure

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

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Meet your instructor

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.

What our graduates say

James H.
DevOps course graduate

DevOps developer, Quali

Switching to DevOps seemed stressing at the time but the course was well built to take you from start to bottom.

Craig R.
DevOps course graduate

DevSecOps Engineer

I was really happy with the depth and practical relevance of the devops curriculum. The course equipped me with the knowledge and hands-on experience to automate infrastructure provisioning, implement robust monitoring and alerting, and most important deliver software faster and more reliably.

Mina D.
DevOps course graduate

DevOps Engineer

As an IT professional, the DevOps program has been instrumental in expanding my skillset and career. I'm now able to bridge the gap between development and operations, leading cross-functional initiatives that drive measurable business impact.

Terry G.
DevOps course graduate

Site Reliability Engineer (SRE)

As a software engineer, the devops program has transformed the way I approach my work. I now have a deep understanding of containerization, CI/CD, and infrastructure as code, skills that made me a considerable asset to my team.

James I.
DevOps course graduate

DevOps Engineer

The devops course was a game-changer for my career. By learning how to automate software development and deployment processes, I've been able to streamline workflows, improve quality and deliver value to my team much faster.

Python Course Integration in Other Programs

FAQs

What is the Python programming language?

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.

The course 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.

Python is also taught as part of a full QA course program and includes automated and manual software testing tools, database basics, and more.

What is the purpose of using Python?

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, and 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.

How will learning Python help my career prospects?

Learning Python can significantly enhance your career prospects in various ways:

Versatility: Python is used across many fields including web development, data analysis, machine learning, AI, automation, and more. This versatility opens up a wide range of career paths.
High Demand: Python developers are in high demand across industries. According to recent surveys, Python consistently ranks as one of the most popular programming languages.
Data Science and AI: Python is the go-to language for data science and machine learning, two rapidly growing fields with excellent career prospects.
Automation: Python's simplicity makes it ideal for automation tasks, a valuable skill in many IT and business roles.
Startups and Big Tech: Both startups and established tech companies use Python extensively, giving you opportunities in companies of all sizes.

By completing this course, you'll have the skills to apply for roles such as Python Developer, Data Analyst, QA Engineer, or even start your journey towards becoming a Data Scientist or Machine Learning Engineer. The practical projects included in the course will also give you portfolio pieces to show potential employers.