The Complete Python Bootcamp From Zero to Hero in Python from Udemy

What's inside

Learning objectives

You will learn how to leverage the power of python to solve tasks.
You will build games and programs that use python libraries.
You will be able to use python for your own work problems or personal projects.
You will create a portfolio of python based projects you can share.
Learn to use python professionally, learning both python 2 and python 3!
Create games with python, like tic tac toe and blackjack!
Learn advanced python features, like the collections module and how to work with timestamps!

Learn to use object oriented programming with classes!
Understand complex topics, like decorators.
Understand how to use both the jupyter notebook and create .py files
Get an understanding of how to create guis in the jupyter notebook system!
Build a complete understanding of python from the ground up!
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You will learn how to leverage the power of python to solve tasks.
You will build games and programs that use python libraries.
You will be able to use python for your own work problems or personal projects.
You will create a portfolio of python based projects you can share.
Learn to use python professionally, learning both python 2 and python 3!
Create games with python, like tic tac toe and blackjack!
Learn advanced python features, like the collections module and how to work with timestamps!
Learn to use object oriented programming with classes!
Understand complex topics, like decorators.
Understand how to use both the jupyter notebook and create .py files
Get an understanding of how to create guis in the jupyter notebook system!
Build a complete understanding of python from the ground up!
Show more
Show less

Syllabus

Get an introduction to the course!

Welcome to the Complete Python Bootcamp

The Complete Python Bootcamp.

Learn about all the content in the course!

Learn why you should learn Python and what you can use it for

Continually updated Text Document with Course FAQs.

Learn how to setup Python on your computer and write your first program!

In order to learn about Python 3, we first need to learn about the command line! Let's get started!

Learn how to install Python on to your computer in an easy step by step guide!

Let's talk about how to run Python 3 code!

Let's talk about how to get the notebooks for the course and the course material. Check out the resource links for this lecture!

Learn how git version control and create you GitHub account to show off your projects!

Learn the basics of Python Objects and Data Structures!

Learn the basics of data types in Python 3.

Learn the basic number data types in Python, such as integers and floats.

Numbers: Simple Arithmetic

Numbers FAQ!

Test your knowledge on Numbers in Python

Quick Print Check

String Indexing

String Slicing

Strings FAQ

Strings Quiz

FAQ for printing strings!

Print Formatting

Lists

Lists FAQ (Continuously Updated)

Lists Quiz

Dictionaries

Dictionaries FAQ

Dictionaries Quiz

Tuples Quiz

Sets

Sets and Booleans Quiz

File I/O

Extra Practice Websites

Time to test your new Python skills!

Let's see how your Python skills held up!

Learn how to make comparisons in Python.

In this section of the Python course, learn how to use Python and control flow to add logic to your Python scripts!

Test your knowledge on Comparison Operators

Learn about various Python statements and how to use them!

Learn about built-in methods and how to create functions!

Let's get a quick overview of the help() function in Python, how to use it with methods, as well as the Python Documentation

Part of the Python Functions lecture series

Let's go over the upcoming in course coding exercises!

Hi,

Coming up next are 10 built-in course code editor questions. Make sure to follow the instructions carefully! In case you missed the previous lecture, we have links to the solutions here:

https://docs.google.com/document/d/181AMuP-V5VnSorl_q7p6BYd8mwXWBnsZY_sSPA8trfc/edit?usp=sharing

Thanks!

Jose

Functions #1: print Hello World

Functions #2: print Hello Name

Functions #3 - simple Boolean

Functions #4 - using Booleans

Functions #5: simple math

Functions #6: is even

Functions #7: is greater

Learn about *args and **kwargs in Python 3 and how they allow you to accept arbitrary number of parameters

Functions #8: *args

Functions #9: pick evens

Functions #10: skyline

Let's get you some practice with Python Functions!

Let's now go over some example solutions for the Python Functions

Function Exercise Solutions - Challenge Problem

Let's learn how to use Lambda Expressions! We'll also talk about the built in Map and Filter functions.

Nested Statements and Scope in Python. Learn how variables get assigned to the namespace!

Methods and Functions Homework Overview

Methods and Functions Homework - Solutions

Combine everything you've learned into your first project!

Let's get ready for our 1st Python Milestone Project

Let's learn how to display information with Python for a user

Let's learn how to accept user input with Python

Let's learn how to validate input with Python

Let's bring everything together to create a simple Python project

Let's go over your first Python 3 Milestone project!

Helpful hints for the milestone project!

Let's go over the solutions for your first Milestone Project in Python!

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Taught by Jose Portilla, who is recognized for their work in Python programming

Provides a comprehensive study of one aspect of science, math, and technology

Examines Python, which is highly relevant to employers seeking hires with technology skills

Highly useful for personal growth and development

Offers a creative approach to an otherwise established topic

This course explicitly requires that this course be taken in serial with others as part of a series

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 Bootcamp From Zero to Hero in Python with these activities:

Python Basics Review

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Review Python basics, including data types, operators, and control flow, to strengthen your foundation before starting the course.

Browse courses on Python

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Refresh operators (e.g., +, -, *, /)
Revisit basic data types (e.g., int, float, str)
Review control flow statements (e.g., if, else, for, while)

Python Resources Collection

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Enhance your learning by gathering useful Python resources (e.g., documentation, forums, tools) in one central location.

Browse courses on Python

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Search for relevant Python resources (e.g., official docs, tutorials)
Bookmark or save the resources in a dedicated folder or online space
Organize the resources by topic or category for easy access

Head First Python

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Gain a comprehensive understanding of Python concepts through a practical and engaging approach.

View Head First Python: A Learner's Guide to the... on Amazon

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Read chapters on Python fundamentals (e.g., variables, data types)
Attempt exercises and solve puzzles to apply your understanding
Complete practice projects to reinforce your skills

Five other activities

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Show all eight activities

LeetCode Easy Python Problems

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Enhance problem-solving and coding skills through targeted practice of easy-level LeetCode problems.

Browse courses on Python

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Choose a problem and read the problem statement
Implement your solution in Python
Submit your solution and review the results

Python Mini-Project: Number Guessing Game

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Apply your Python skills by creating a basic number guessing game to practice input validation and random number generation.

Browse courses on Python

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Design the game logic, including input handling and random number generation
Code the game in Python using loops and conditional statements
Test the game with different input values
Refine the game based on testing and feedback

Weekly Python Study Group

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Join a regular study group to discuss Python concepts, share knowledge, and collaborate on problem-solving.

Browse courses on Python

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Find or create a study group with other Python learners
Schedule regular meetings and set study topics
Take turns presenting on different Python concepts or solving problems
Engage in open discussions and share insights

Udemy Python Course by Jose Portilla

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Supplement your learning with guided tutorials on Udemy to reinforce concepts and expand your knowledge.

Browse courses on Python

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Follow comprehensive video lectures on Python topics
Complete coding exercises and quizzes to test your understanding
Connect with other learners in the course discussion forums

CodeChef Easy Python Problems

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Participate in timed competitions to test your Python problem-solving and coding abilities.

Browse courses on Python

Show steps

Sign up for CodeChef and join the 'Easy' problem-solving section
Choose a problem and read the problem statement carefully
Implement your solution in Python within the time limit
Submit your solution and review the results

Career center

Learners who complete The Complete Python Bootcamp From Zero to Hero in Python will develop knowledge and skills that may be useful to these careers:

Python Developer

Working as a Python Developer will require you to have a comprehensive understanding of Python syntax and programming concepts, which can be acquired by taking this course. You will be able to execute real-world tasks such as file and data handling, web scraping, data visualization, and creating machine learning models with Python. This course can help you gain experience with the Python language and its applications in various domains, enhancing your qualifications and preparing you for success as a Python Developer.

See salaries and explore the career path for Python Developer

Data Analyst

To excel as a Data Analyst, you need proficiency in data analysis techniques and tools, including Python. This course covers Python data structures like lists, dictionaries, and sets, as well as data manipulation and visualization techniques. By mastering these concepts, you can effectively clean, process, and analyze data, derive meaningful insights, and communicate your findings. Taking this course can provide you with a solid foundation in Python for data analysis, increasing your competitiveness in the job market.

See salaries and explore the career path for Data Analyst

Web Developer

Web Developers utilize various programming languages to create and maintain websites and web applications. Python is widely used in web development due to its versatility and the availability of frameworks like Django and Flask. This course provides a comprehensive overview of Python, covering data types, control flow, functions, and object-oriented programming. By gaining proficiency in Python, you can enhance your web development skills, create dynamic and interactive web pages, and contribute to the development of high-quality web applications.

See salaries and explore the career path for Web Developer

Data Scientist

Data Scientists leverage programming languages like Python to extract insights from vast amounts of data. This course offers a solid foundation in Python, covering data types, control flow, functions, and object-oriented programming. Additionally, it introduces data manipulation and visualization techniques using Python libraries like NumPy and Pandas. By developing proficiency in Python through this course, you can enhance your data science skills, build predictive models, and effectively communicate data-driven insights.

See salaries and explore the career path for Data Scientist

Software Engineer

Software Engineers utilize various programming languages to design, develop, and maintain software systems. Python is a popular choice for its versatility and extensive library support. This course provides a comprehensive overview of Python, covering data types, control flow, functions, and object-oriented programming. By gaining proficiency in Python, you can enhance your software development skills, contribute to the creation of robust and efficient software solutions, and advance your career as a Software Engineer.

See salaries and explore the career path for Software Engineer

Quantitative Analyst

Quantitative Analysts leverage programming skills to analyze financial data and develop models. This course offers a solid foundation in Python, covering data types, control flow, functions, and object-oriented programming. Additionally, it introduces data manipulation and visualization techniques using Python libraries like NumPy and Pandas. By developing proficiency in Python through this course, you can enhance your quantitative analysis skills, build financial models, and effectively communicate data-driven insights.

See salaries and explore the career path for Quantitative Analyst

Machine Learning Engineer

Machine Learning Engineers utilize programming languages like Python to develop and deploy machine learning models. This course provides a comprehensive overview of Python, covering data types, control flow, functions, and object-oriented programming. Additionally, it introduces data manipulation and visualization techniques using Python libraries like NumPy and Pandas. By gaining proficiency in Python through this course, you can enhance your machine learning skills, build and train models, and effectively implement machine learning solutions.

See salaries and explore the career path for Machine Learning Engineer

Business Analyst

Business Analysts use their understanding of business processes and data analysis techniques to solve business problems. Python is increasingly used by Business Analysts for data analysis, visualization, and automation. This course provides a solid foundation in Python, covering data types, control flow, functions, and object-oriented programming. Additionally, it introduces data manipulation and visualization techniques using Python libraries like NumPy and Pandas. By gaining proficiency in Python through this course, you can enhance your business analysis skills, effectively analyze data, and develop data-driven recommendations.

See salaries and explore the career path for Business Analyst

Data Engineer

Data Engineers utilize programming languages like Python to design, build, and maintain data pipelines and infrastructure. This course provides a comprehensive overview of Python, covering data types, control flow, functions, and object-oriented programming. Additionally, it introduces data manipulation and visualization techniques using Python libraries like NumPy and Pandas. By gaining proficiency in Python through this course, you can enhance your data engineering skills, effectively manage data pipelines, and contribute to the development of efficient data-driven solutions.

See salaries and explore the career path for Data Engineer

Cloud Engineer

Cloud Engineers utilize programming languages like Python to design, deploy, and manage cloud-based applications and infrastructure. This course provides a comprehensive overview of Python, covering data types, control flow, functions, and object-oriented programming. Additionally, it introduces data manipulation and visualization techniques using Python libraries like NumPy and Pandas. By gaining proficiency in Python through this course, you can enhance your cloud engineering skills, effectively manage cloud resources, and contribute to the development of scalable and reliable cloud solutions.

See salaries and explore the career path for Cloud Engineer

Cybersecurity Analyst

Cybersecurity Analysts utilize programming languages like Python to analyze security data, identify threats, and develop security solutions. This course provides a comprehensive overview of Python, covering data types, control flow, functions, and object-oriented programming. Additionally, it introduces data manipulation and visualization techniques using Python libraries like NumPy and Pandas. By gaining proficiency in Python through this course, you can enhance your cybersecurity skills, effectively analyze security data, and contribute to the development of robust security measures.

See salaries and explore the career path for Cybersecurity Analyst

DevOps Engineer

DevOps Engineers utilize programming languages like Python to automate software development and operations processes. This course provides a comprehensive overview of Python, covering data types, control flow, functions, and object-oriented programming. Additionally, it introduces data manipulation and visualization techniques using Python libraries like NumPy and Pandas. By gaining proficiency in Python through this course, you can enhance your DevOps skills, effectively automate software development and operations tasks, and contribute to the delivery of high-quality software products.

See salaries and explore the career path for DevOps Engineer

Product Manager

Product Managers utilize their understanding of customer needs and market trends to develop and launch successful products. Python can be used by Product Managers for data analysis, user research, and product roadmap planning. This course provides a solid foundation in Python, covering data types, control flow, functions, and object-oriented programming. Additionally, it introduces data manipulation and visualization techniques using Python libraries like NumPy and Pandas. By gaining proficiency in Python through this course, you can enhance your product management skills, effectively analyze data, and make informed decisions throughout the product development lifecycle.

See salaries and explore the career path for Product Manager

Actuary

Actuaries utilize programming languages like Python to analyze financial data, develop models, and assess risk. This course provides a comprehensive overview of Python, covering data types, control flow, functions, and object-oriented programming. Additionally, it introduces data manipulation and visualization techniques using Python libraries like NumPy and Pandas. By gaining proficiency in Python through this course, you can enhance your actuarial skills, effectively analyze financial data, and contribute to the development of robust risk management strategies.

See salaries and explore the career path for Actuary

Financial Analyst

Financial Analysts utilize programming languages like Python to analyze financial data, build models, and make investment recommendations. This course provides a comprehensive overview of Python, covering data types, control flow, functions, and object-oriented programming. Additionally, it introduces data manipulation and visualization techniques using Python libraries like NumPy and Pandas. By gaining proficiency in Python through this course, you can enhance your financial analysis skills, effectively analyze financial data, and make informed investment decisions.

See salaries and explore the career path for Financial Analyst