The Complete Python Developer from Udemy

It's time to become a modern and complete Python developer. Join a live online community of over 900,000+ developers and a course taught by an industry expert that has actually worked both in Silicon Valley and Toronto. Graduates of Andrei’s courses are now working at Google, Tesla, Amazon, Apple

Learn Python from scratch, get hired, and have fun along the way with the most modern, up-to-date Python course on Udemy (we use the latest version of Python). This course is focused on efficiency: never spend time on confusing, out of date, incomplete Python tutorials anymore.

This comprehensive and project based course will introduce you to all of the modern skills of a Python developer (Python 3) and along the way, we will build over 12 real world projects to add to your portfolio (You will get access to all the the code from the 12+ projects we build, so that you can put them on your portfolio right away).

The curriculum is going to be very hands on as we walk you from start to finish of becoming a professional Python developer. We will start from the very beginning by teaching you Python basics and programming fundamentals, and then going into advanced topics and different career fields in Python so you can get real life practice and be ready for the real world. The topics covered in this course are:

- Programming Fundamentals

- Python Basics

- Python Fundamentals

- Data Structures

- Object Oriented Programming with Python

- Functional Programming with Python

- Lambdas

- Decorators

- Generators

- Testing in Python

- Debugging

- Error Handling

- Regular Expressions

- Comprehensions

- Modules

- Virtual Environments

- Developer Environments (PyCharm, Jupyter Notebooks, VS Code, Sublime Text + more)

- File Processing: Image We are going to use Python to work with Email, Text Messages, CSV files, PDF files, Image Files, Data Visualizations, build our own machine learning model and perform Image detection. We are going to build a web scraper for HackerNews, build a Twitter bot, build the most secure password checker and we will also build some automation tools using Selenium. But the best part? We will build an actual portfolio website using Python that your future employer and customers can contact you at. By the end, you will have a stack of projects you have built that you can show off to others.

Here’s the truth: Most courses teach you Python and do just that. They show you how to get started. But the thing is you don’t know where to go from there or how to build your own projects.

Whether you are new to programming, or want to level up your Python skills, or are coming from a different programming language, this course is for you. This course is not about making you just code along without understanding the principles so that when you are done with the course you don’t know what to do other than watch another tutorial. No. This course will push you and challenge you to go from an absolute beginner with no coding experience to someone that can go off, forget about me, and build their own applications and get hired.

Taught By:

Andrei Neagoie is the instructor of the highest rated Development courses on Udemy as well as one of the fastest growing. His graduates have moved on to work for some of the biggest tech companies around the world like Apple, Google, Amazon, JP Morgan.. He has been working as a senior software developer in Silicon Valley and Toronto for many years, and is now taking all that he has learned, to teach programming skills and to help you discover the amazing career opportunities that being a developer allows in life.

Having been a self taught programmer, he understands that there is an overwhelming number of online courses, tutorials and books that are overly verbose and inadequate at teaching proper skills. Most people feel paralyzed and don't know where to start when learning a complex subject matter, or even worse, most people don't have $20,000 to spend on a coding bootcamp. Programming skills should be affordable and open to all. An education material should teach real life skills that are current and they should not waste a student's valuable time. Having learned important lessons from working for Fortune 500 companies, tech startups, to even founding his own business, he is now dedicating 100% of his time to teaching others valuable software development skills in order to take control of their life and work in an exciting industry with infinite possibilities.

Andrei promises you that there are no other courses out there as comprehensive and as well explained. He believes that in order to learn anything of value, you need to start with the foundation and develop the roots of the tree. Only from there will you be able to learn concepts and specific skills(leaves) that connect to the foundation. Learning becomes exponential when structured in this way.

Taking his experience in educational psychology and coding, Andrei's courses will take you on an understanding of complex subjects that you never thought would be possible.

See you inside the course.

What's inside

Learning objectives

Become a professional python developer and get hired
Master modern python 3.13(latest) fundamentals as well as advanced topics
Learn object oriented programming
Learn function programming
Build 12+ real world python projects you can show off
Learn how to use python in web development
Learn machine learning with python
Build a machine learning model
Learn data science - analyze and visualize data
Build a professional portfolio website

Use python to process: images, csvs, pdfs, and other files
Build a web scraper with python and beautifulsoup
Use python to send emails and sms
Use python to build a twitter bot
Learn to test, debug and handle errors in your python programs
Learn best practices to write clean, performant, and bug free code
Learn to use selenium and python in automation
Set up a professional workspace with jupyter notebooks, pycharm, vs code + more
Show more
Show less

Become a professional python developer and get hired
Master modern python 3.13(latest) fundamentals as well as advanced topics
Learn object oriented programming
Learn function programming
Build 12+ real world python projects you can show off
Learn how to use python in web development
Learn machine learning with python
Build a machine learning model
Learn data science - analyze and visualize data
Build a professional portfolio website
Use python to process: images, csvs, pdfs, and other files
Build a web scraper with python and beautifulsoup
Use python to send emails and sms
Use python to build a twitter bot
Learn to test, debug and handle errors in your python programs
Learn best practices to write clean, performant, and bug free code
Learn to use selenium and python in automation
Set up a professional workspace with jupyter notebooks, pycharm, vs code + more
Show more
Show less

Syllabus

Introduction

Course Outline

Join Our Online Classroom!

Exercise: Meet Your Classmates & Instructor

ZTM Resources

Python Introduction

What Is A Programming Language

Python Interpreter

How To Run Python Code

Latest Version Of Python

Note: Jumping To Developer Environment

Our First Python Program

Monthly Coding Challenges, Free Resources and Guides

Python 2 vs Python 3

Why So Many Languages?

Exercise: How Does Python Work?

ZTM Python Cheat Sheet

Python Developer Monthly

Endorsements On LinkedIN

Python Basics

Learning Python

Python Data Types

How To Succeed

Numbers

Math Functions

DEVELOPER FUNDAMENTALS: I

Operator Precedence

IMPORTANT: Replit Code

Exercise: Operator Precedence

Optional: bin() and complex

Variables

Expressions vs Statements

Augmented Assignment Operator

Strings

String Concatenation

Type Conversion

Escape Sequences

Formatted Strings

String Indexes

Immutability

Built-In Functions + Methods

Booleans

Exercise: Type Conversion

DEVELOPER FUNDAMENTALS: II

Exercise: Password Checker

Lists

List Slicing

Matrix

List Methods

List Methods 2

List Methods 3

Common List Patterns

List Unpacking

None

Dictionaries

Python 3.7: Ordered Dict

DEVELOPER FUNDAMENTALS: III

Dictionary Keys

Dictionary Methods

Dictionary Methods 2

Tuples

Tuples 2

Sets

Sets 2

Python Basics II

Breaking The Flow

Conditional Logic

Indentation In Python

Truthy vs Falsey

Ternary Operator

Short Circuiting

Logical Operators

Exercise: Logical Operators

is vs ==

For Loops

Iterables

Exercise: Tricky Counter

range()

enumerate()

While Loops

While Loops 2

break, continue, pass

Our First GUI

DEVELOPER FUNDAMENTALS: IV

Exercise: Find Duplicates

Functions

Parameters and Arguments

Default Parameters and Keyword Arguments

return

Exercise: Tesla

Methods vs Functions

Docstrings

Clean Code

*args and **kwargs

Exercise: Functions

Walrus Operator

Scope

Scope Rules

global Keyword

nonlocal Keyword

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Uses the latest version of Python, which ensures learners are building skills that are immediately applicable in current industry environments

Covers a wide range of topics, from basic syntax to advanced concepts like decorators and generators, providing a comprehensive learning experience

Includes building over 12 real-world projects, which allows learners to create a portfolio to showcase their skills to potential employers

Explores various developer environments like PyCharm, Jupyter Notebooks, and VS Code, which prepares learners to work in different professional settings

Teaches how to use Python for tasks like web scraping, building bots, and automating tasks, which are valuable skills in today's tech landscape

Requires learners to set up virtual environments, which is a crucial skill for managing dependencies and ensuring project reproducibility

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in The Complete Python Developer with these activities:

Review Python Basics

Show steps

Reviewing Python basics will ensure a solid foundation for understanding more advanced concepts covered in the course.

Browse courses on Python Basics

Show steps

Review data types, operators, and control flow.
Practice writing simple Python scripts.
Complete online Python tutorials for beginners.

Read 'Automate the Boring Stuff with Python'

Show steps

Reading this book will provide practical examples of how Python can be used to automate tasks, reinforcing the course's teachings.

View Automate the Boring Stuff with Python, 3rd... on Amazon

Show steps

Read the chapters relevant to the course topics.
Complete the exercises at the end of each chapter.
Experiment with the code examples provided.

Build a Simple Web Scraper

Show steps

Building a web scraper will allow you to apply your Python skills to extract data from websites, reinforcing your understanding of web development and data processing.

Show steps

Choose a website to scrape.
Inspect the website's HTML structure.
Write Python code to extract the desired data using libraries like BeautifulSoup.
Store the scraped data in a file or database.

Four other activities

Expand to see all activities and additional details

Show all seven activities

Create a Python Cheat Sheet

Show steps

Creating a cheat sheet will help you consolidate your knowledge of Python syntax and concepts, making it easier to recall information when needed.

Show steps

Identify the key Python concepts covered in the course.
Summarize each concept in a concise and easy-to-understand manner.
Organize the cheat sheet logically for quick reference.
Include code examples to illustrate each concept.

Solve Python Coding Challenges on HackerRank

Show steps

Practicing coding challenges will improve your problem-solving skills and reinforce your understanding of Python syntax and algorithms.

Show steps

Create an account on HackerRank.
Select Python as your preferred language.
Solve a variety of coding challenges, starting with easier ones.
Analyze your solutions and learn from your mistakes.

Contribute to a Python Open Source Project

Show steps

Contributing to open source will provide valuable experience working on real-world Python projects and collaborating with other developers.

Show steps

Find a Python open source project that interests you.
Read the project's documentation and contribution guidelines.
Identify a bug or feature to work on.
Submit a pull request with your changes.

Read 'Python Cookbook'

Show steps

Consulting this book will provide solutions to common Python programming problems, enhancing your problem-solving abilities.

View Python Cookbook: Recipes for Mastering Python 3 on Amazon

Show steps

Identify specific programming challenges you face.
Search for relevant recipes in the Python Cookbook.
Adapt the recipes to your specific needs.
Test your solutions thoroughly.

Career center

Learners who complete The Complete Python Developer will develop knowledge and skills that may be useful to these careers:

Python Developer

A Python Developer uses the Python programming language to create software applications, websites, and other digital tools. This role requires proficiency in Python's syntax, data structures, and libraries as well as experience in debugging, testing, and optimization. This course, which emphasizes fundamental Python concepts and practical application, positions you well to become a Python developer. The curriculum introduces you to a variety of development environments, and it challenges you to build 12 real world projects. It also covers testing and debugging, preparing you for the daily tasks of a professional Python developer. This course will start you on your journey toward a rewarding and successful career as a Python developer.

See salaries and explore the career path for Python Developer

Software Engineer

A Software Engineer designs, develops, tests, and maintains software systems. This often involves using multiple programming languages, but Python is frequently a core component of modern software engineering. This course will help you to develop the crucial Python skills valued by employers. The course work covers Python basics, object oriented programming, functional programming, testing, and debugging. The hands-on projects, like building an actual portfolio website, closely align with the tasks of a software engineer. You should take this course to master Python and to add project examples to your portfolio.

See salaries and explore the career path for Software Engineer

Web Developer

Web Developers create and maintain websites and web applications. Python is frequently used for back-end development, server side logic, and data management. This course will be particularly useful because it includes web development, automation and deployment technologies. The course covers key skills for a web developer, such as how to use Python for sending emails, image handling, file processing and web scraping. Building a portfolio website with Python is extremely relevant to a web developer. Taking this course helps you develop the practical skills and also gives you a project to showcase your abilities.

See salaries and explore the career path for Web Developer

Machine Learning Engineer

A Machine Learning Engineer is responsible for designing, building, and deploying machine learning models and systems. Python is the dominant language in the field of machine learning, and this course will help you to become a machine learning engineer. You'll learn how to build a machine learning model and other data analysis and visualization skills in Python. The course also covers object oriented and functional programming. This knowledge helps to build a strong foundation to further success as a machine learning engineer.

See salaries and explore the career path for Machine Learning Engineer

Data Scientist

Data Scientists analyze complex data sets to identify trends, patterns, and insights that inform business decisions. Python is an essential tool for data manipulation, analysis, and machine learning. This course covers analysis and visualization of data, and building a machine learning model. It introduces you to the practical applications of Python in data science. This course is particularly useful for a data scientist because of its focus on real world projects, and it teaches data processing skills that are directly applicable.

See salaries and explore the career path for Data Scientist

Backend Developer

A Backend Developer focuses on the server side logic of web applications. This involves handling data, user authentication, and application integrations. This course will be helpful because it teaches fundamentals of Python and the course also covers aspects of web development including using Python to send emails and to work with various kinds of file formats. The course also includes project work, such as building an actual portfolio website, which will help you demonstrate your abilities as a potential backend developer.

See salaries and explore the career path for Backend Developer

Automation Engineer

An Automation Engineer designs, develops, and implements automated systems and processes using scripting and programming languages. Python is often used for automation tasks, such as web scraping, and this course includes instruction on using Python to build a web scraper. Also, the course teaches you how to use Selenium for automation tasks. Automation engineers will find the course useful because it teaches fundamental Python programming concepts and provides practical experience through project based learning.

See salaries and explore the career path for Automation Engineer

Software Developer

A software developer creates, tests, and maintains software applications. This course may be useful for those aspiring to be software developers. The course provides hands-on experience through 12 real world projects, and it covers Python basics, programming fundamentals, and advanced topics. The course also covers how to set up a professional workspace. The course also prepares you to debug, test, and handle errors, which are all essential for this role.

See salaries and explore the career path for Software Developer

Data Analyst

Data Analysts interpret data and turn it into information which can offer ways to improve a business. A data analyst should be familiar with programming languages like Python for data processing, visualization, and analysis. This course may be useful for aspiring data analysts because the course introduces data science and how to analyze and visualize data. It also covers how to use Python to process different file types. Although this course is not exclusively for data analysts, it introduces topics that are useful for success in this role.

See salaries and explore the career path for Data Analyst

Mobile Application Developer

Mobile Application Developers build software for mobile devices. Although Python is not commonly used to build mobile applications directly, it can be used for back end services and automation related to mobile applications. This course may be useful for those who wish to become mobile application developers because they may use Python to handle data processing and back end functions. This course will help you gain overall programming skills with Python, and it covers important areas such as web scraping and automation.

See salaries and explore the career path for Mobile Application Developer

Systems Analyst

A Systems Analyst examines software systems and evaluates their suitability for business needs, often recommending changes or upgrades. This may not be a perfect fit, but Python is useful in this role because it can automate tasks related to this role, and you will learn some Python fundamentals in this course. This course may be useful because it emphasizes programming fundamentals and includes debugging and error handling. It also covers automation tools, which may be helpful to a systems analyst.

See salaries and explore the career path for Systems Analyst

Database Administrator

A Database Administrator is responsible for managing and organizing data for a company. This involves updating, securing, and maintaining databases. While this course does not specifically focus on database concepts you may find that this course is useful for database administrators. The course includes file processing, which can be related to database management. And the core programming principles taught in this course will help to build your foundations as a database administrator. This course may be useful for building basic Python skills.

See salaries and explore the career path for Database Administrator

Quality Assurance Engineer

A Quality Assurance Engineer is responsible for testing software and ensuring it meets quality standards. While this course isn't exclusively for Quality Assurance Engineers, it may be useful because of its focus on testing, debugging and error handling in Python. You will learn the fundamentals of Python, which could assist you in future automation and testing of software and applications. Overall this course may be useful for building the Python programming skills needed for a quality assurance engineer.

See salaries and explore the career path for Quality Assurance Engineer

Technical Writer

A Technical Writer creates documentation for technical products and software. Although this course is not directly about writing, it may be useful for a technical writer who plans to document Python based software. This course will help you understand Python code and software. As a technical writer you may find the course's coverage of project based learning to be useful since you will better understand the software you are documenting. The course may be helpful to technical writers.

See salaries and explore the career path for Technical Writer

Project Manager

Project Managers oversee projects from beginning to end, ensuring they are completed on time and within budget. While this course does not offer practical project management skills, it may be helpful to a Project Manager who works in software development because the course is focused on Python. If you are trying to learn the fundamentals of Python, this is a good course to consider. The project based learning of this course may be helpful, as well, because you will better understand the type of work that your team is completing. This course may be useful to project managers in a software company.

See salaries and explore the career path for Project Manager

The Complete Python Developer

What's inside

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Syllabus

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Activities

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