Skilled Python BackEnd Developer Track - Online Learning with Certificate

Skilled Python BackEnd Developer

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Updated 11/2025

This path is designed to empower you to innovate and excel in web development, equipping you with a versatile toolkit for the future.Dive into an exci…

157

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Learning hours

287

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In this section, you will explore the fundamentals of Python, get acquainted with your workspace, perform simple math operations, and display your findings.

First Steps

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Simple Math: Add & Subtract

Challenge: Multiply & Divide

Recap

In this section, you'll discover how to save items such as numbers and text in computer memory and retrieve them by name. Additionally, you'll gain an introduction to text manipulation in Python.

Data Types

Storing Data in Variables

Variable Naming Rules

Using Variables

String Indexing and Length

String Slicing and Concatenation

Challenge: Inventory Sorting Capstone

Recap

In this section, you'll explore the boolean data type and learn how it is used to develop programs that react to certain conditions.

Boolean Data Type

Combining Conditions

Challenge: Boolean Logic

Membership Operators and Type Comparisons

Conditional Expressions

Challenge: Product Management Capstone

Recap

In this section, you will continue learning about data types and discover how to organize various attributes in a single variable using lists, tuples, and dictionaries.

Lists and List Methods

Nested Lists

Challenge: List Management

Tuples and Tuple Methods

Tuple Operations

Challenge: Tuple Operations

Dictionaries and Dictionary Methods

Challenge: Pricing Adjustment Capstone

Recap

In this section, you'll learn how to create loops in Python — an essential skill for iterating through lists, tuples, and dictionaries.

For Loops

While Loops

Range Function

Iterating Over Indexes

Challenge: Sales and Shipments

Nested Loops

Challenge: Automating Stock Control

Challenge: Solo Coding Capstone

Recap

To conclude this introductory course, you will explore some built-in functions and then begin to develop your own!

Built-in Functions

Challenge: Zip and Sort Functions

User Defined Functions

List Behavior in Functions

Functions with no Return

Modifying Functions

Challenge: Product Revenues Capstone

Recap

You'll find this topic enjoyable, and you'll learn how to pack and unpack values in a single assignment.

Unpacking in Python: Extracting Values from Lists and Tuples

Packing in Python: Grouping Multiple Values into a Single Variable

Using Packing and Unpacking for Efficient Code in Python

Challenge: Mastering Dictionary Unpacking in Python

Challenge: The Champions League

Explore the power of Python's function arguments, *args, **kwargs, and learn how to effectively use functions as arguments.

Python Function Arguments: Overview of Parameters and Arguments

Using *args in Python: Handling Variable-Length Positional Arguments

Challenge: Calculating the Average Mark with *args

Using **kwargs in Python: Flexible Keyword Arguments for Dynamic Functions

Challenge: Mastering **kwargs in Python Functions

Discover the higher-order functions and how functions can be passed as arguments to other functions in programming.

High-Order Functions in Python: Passing Functions as Arguments

Lambda Functions in Python: Writing Concise and Anonymous Functions

Using Python Built-in Functions

What is variable scope, and how did we manage without it before? This topic is essential for understanding the following subjects: Closures and Decorators. I assure you that this topic will be both enjoyable and practical. You will gain knowledge about local, nonlocal, and global variables.

Global Variables in Python: Accessing and Modifying Global Data

Local Variables in Python: Understanding Function-Level Scope

Challenge: Modifying a Global Variable in Python

Nested Functions in Python: Scope and Accessibility

Nonlocal Variables in Python: Working with Enclosed Scopes

Python Closures: Retaining State in Nested Functions

Challenge: Implementing a Threshold Checker with Closures

This section provides an in-depth exploration of Python decorators, a powerful feature that allows for the modification and enhancement of function behavior. Participants will learn how to write their own decorators, understand built-in decorators, and apply decorators in practical scenarios.

Introduction to Python Decorators

Python Decorator Syntax: Writing and Applying Decorators

Challenge: Create Your First Python Decorator

Using Decorators with Parameters in Python

Chaining Multiple Decorators: Advanced Function Modifications

Challenge: Basic Smores Recipe

Practical Examples of Python Decorator Usage in Real Applications

If you find yourself frustrated with import statements, the difference between modules and libraries, or managing your Python project structure, this section is your key to clarity.

Python Project Structure: Organizing Code for Scalability

Understanding Python Modules

Importing Modules in Python: Best Practices for Code Reusability

Exploring Python Libraries: Built-in and Third-Party Solutions

Python Standard Library: Essential Modules for Everyday Tasks

Managing Python Packages

Want to debug your code effectively and understand the power of leveraging various errors? This section demystifies error handling in Python, showcasing why it’s crucial for developers to master these skills for robust applications.

Fundamentals of Error Handling in Python: Preventing Code Crashes

Raising Exceptions in Python: Triggering and Managing Errors

Executing Code After Exceptions: Handling Cleanup Operations

Using Assertions in Python: Debugging and Ensuring Code Integrity

Best Practices for Exception Handling

Eager to automate file operations in your projects? This section delves into the essentials of file handling in Python, equipping you with the tools to read, write, and manage files efficiently for smoother, more powerful applications.

Introduction to File Handling in Python

Reading and Writing Files: Handling Text and Data Efficiently

Advanced File Operations: Modifying and Managing File Content

Working with File Paths in Python

Using Context Managers for File Handling in Python

Creating Custom Context Managers

Handling Binary Files in Python

You will learn the ins and outs of testing with Pytest and the fundamentals of Test-Driven Development (TDD). This section guides you through creating robust tests that enhance your code's reliability and streamline your development process.

Introduction to Testing in Python

Pytest Framework: Setting Up and Running Automated Tests

Using the Assert Statement in Pytest: Validating Test Conditions

Test Parametrization in Pytest: Running Tests with Multiple Inputs

Master automation testing with Unittest. Learn how to cover various test cases effectively using setup, teardown, and mocking.

Introduction to Unittest in Python: Writing Structured Unit Tests

Using Assert Methods in Unittest: Validating Test Results

SetUp and TearDown in Unittest: Managing Test Environments

Mocking Techniques in Unittest: Simulating Dependencies

Advanced Mocking in Unittest

In Python, iterators and generators are key concepts that enable efficient and memory-friendly data processing. While iterators follow a specific protocol for accessing data sequentially, generators simplify iteration by producing values on demand with the yield keyword. This section explores these concepts and their practical applications, helping you master memory-efficient programming.

Python Iterables: Understanding Sequences and Data Structures

Understanding Iterators in Python

Lazy Evaluation in Python: Optimizing Memory and Performance

Introduction to Generators: Yielding Values for Efficient Iteration

Practical Applications of Generators: Real-World Use Cases

Get ready to launch our very first project! We're diving into the exciting world of important project concepts and components. Here, we'll make the magic happen by connecting with Flask, crafting our initial functional endpoints, and bringing our project to life with captivating templates and eye-catching static files.

Who This Course is For?

Start Project

Basic Flask Application

URL Routing

Templates Jinja2

Static Files

Here, you can enhance your application by adding a database. You'll get hands-on experience working with SQLAlchemy as you create an SQLite database tailored for development mode.

Get ready to dive into the world of ORM queries for databases and discover how to seamlessly integrate them into your project, allowing you to perform the full range of CRUD operations.

CRUD Operations

Read and Create Queries

Implement Create Functionality

Delete Query

Update Query

Implement Delete Functionality

Implement Update Functionality

Welcome to the world of web design! In this journey, you'll learn how to integrate Bootstrap styles into your project, instantly transforming it into an eye-catching masterpiece. Think of it as playing with digital Legos for programmers.

This section serves as your entry point into the world of Django, providing a comprehensive introduction to the framework and the initial steps to kickstart your development journey.

Why do you need Django?

Your first Django Project

Start Project

In this section, we'll create a simple program that sends text from the server to the user's page.

In this section, we will explore models, migrations, and other useful things needed when working with databases.

Participants will have the opportunity to delve deeply into working with databases, utilizing Django ORM (Object-Relational Mapping), to ensure efficient data storage and processing.

Creation Operations

Read Operations

Update and Delete Operations

In this course section, we will extensively explore the principles of working with templates in Django, a crucial component for developing effective and visually appealing web applications.

HTML Templates

Template Inheritance System

Jinja

Bootstrap: Getting Started

Bootstrap: Container

In this section of the course, we will delve into the essential aspects of implementing site functionality in Django. Participants will gain a comprehensive understanding of building dynamic and interactive features for their web applications.

Work with Forms

Forms: Validation

Sending Data to Templates

Dynamic URL

Forms: Update

Dynamic URL: Delete

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Step-by-Step to Stellar Results

Interactive coding environment

Jump into our interactive environment: write and run your code with real‑time feedback and success metrics—learn by doing at every step.

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Leverage the built‑in AI assistant to explain errors, suggest fixes, or answer any question about your code—so you stay productive and never get stuck.

Check your progress

Wrap up each module with a quick quiz that delivers instant feedback, tracks your progress, and ensures you’ve mastered key concepts.

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Earn your industry‑recognized certificate upon completion and share it on LinkedIn with one click—let your network see what you can do.

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Full Stack Web Development

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Why People Choose Codefinity

Trusted by Employees of Leading Companies and Students from Top Universities

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Trusted by Employees of Leading Companies
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