Python for Absolute Beginners | Python Beginner to Pro from Udemy

Python for Absolute Beginners 2024

This Python course is different. It will not only teach you Python, it will give you a problem solving super-power using Python code. And that will make all the difference, especially if you are pursuing a career in data science, AI, web development, big data, web testing, or programming for smart devices in Python.

Have you always wanted to learn one of the world’s most popular programming languages? If so, this is the perfect course for you. It will teach you how to program in Python and help to prepare you for coding challenges frequently posed during job interviews.

In this comprehensive course, we will cover several key topics:

⁃ Why program? Why study Python?

⁃ How to install Python

⁃ Hands-on programming with strings

⁃ Print function

⁃ Variables

⁃ Conditionals

⁃ Loops

⁃ Data structures

⁃ Modules

⁃ Files

⁃ OOP and Classes and Objects

⁃ Time complexity

⁃ Big O

⁃ Stacks

⁃ Debugging

There are many exercises and projects throughout the course, some of our favourites are:

⁃ The Sierpinski Triangle

⁃ The Towers of Hanoi

⁃ And the Computer Vision capstone project

You'll also learn how to use python to validate credit card numbers, you'll be introduced to the data visualization and plotting package matplotlib, there's a short introduction to Pandas and you'll gain a thorough understanding of how to work with Jupyter notebooks.

In addition there is a section on Git and Github and you will learn how to work with virtual environments in python.

The author of this course, Giles McMullen-Klein, is one of the best-known Python and data science vloggers on YouTube where more than 500,000 subscribers follow his videos.

There are several reasons why this course is different and why Giles could be the perfect Python teacher for you:

· Engaging, informative and fun. Giles’ lectures are entertaining and will inspire you to learn Python

· Motivating ,enthusiastic and effective – Giles’ passion for coding in Python and teaching the language is infectious

· Develop a thorough understanding of Python

· Carefully crafted lectures and superb quality of production (Full HD videos) + animations and callouts

· Practice, practice, practice – the course contains dozens of exercises to help you master the Python programming concepts covered in the lessons

365 Careers’ team is very excited about this project. The creation of a Python course has been an ambition of ours for quite some time. but as we were not prepared to make any compromises on the quality of the course content, we needed to choose the right partner. Luckily, Giles was as excited about working with us as we were with him and together, after much hard, work we have created what we believe to be a first-class learning experience. We are confident that programming novices will benefit from Giles’ authenticity combined with our visual approach to teaching which includes our much-loved graphics and animations.

To date, employees from 80 of the Fortune 100 companies have taken our courses.5 stars. And we are confident that this is the perfect course for you if you want to become a Python programmer.

Sounds great, doesn’t it? Are you ready for a life-changing adventure? If you are serious about learning Python, this is the only bootcamp you will need.

The course comes with a 30-day money-back guarantee. If you decide it wasn’t for you, you will be refunded in full (+keep all the downloaded resources free of charge).

No risk for you, so go ahead, click the “Buy now” button and start your Python programmer journey today.

What's inside

Learning objectives

Go from python beginner to python proficiency. you will become a confident python programmer with a good knowledge of the foundations and their applications
This is a hands on course with numerous coding examples and challenges at the end of each section. this is very important as you learn python best by doing it
Acquire the pre-requisite python skills to work with python in fields such as data science, machine learning, artificial intelligence and web development
Install python and write your first program
How to use basic python structures: strings, lists, and dictionaries
How to use a jupyter notebook and how to work with .py files
Create and use functions and lambdas
Understand what classes are and how they relate to objects
Learn to think computationally

Handle exceptions
Interesting and useful modules e.g. the datetime and collections module
Use of git and github: essential skills for all professional programmers
Work with virtual environments in python. an essential skill which is often missed from other courses.
Introduction to the essential data science libraries of matplotlib and pandas
You will work on a big capstone project related to computer vision where you'll build your own image recognition system
All the concepts are broken down into simple steps
Show more
Show less

Go from python beginner to python proficiency. you will become a confident python programmer with a good knowledge of the foundations and their applications
This is a hands on course with numerous coding examples and challenges at the end of each section. this is very important as you learn python best by doing it
Acquire the pre-requisite python skills to work with python in fields such as data science, machine learning, artificial intelligence and web development
Install python and write your first program
How to use basic python structures: strings, lists, and dictionaries
How to use a jupyter notebook and how to work with .py files
Create and use functions and lambdas
Understand what classes are and how they relate to objects
Learn to think computationally
Handle exceptions
Interesting and useful modules e.g. the datetime and collections module
Use of git and github: essential skills for all professional programmers
Work with virtual environments in python. an essential skill which is often missed from other courses.
Introduction to the essential data science libraries of matplotlib and pandas
You will work on a big capstone project related to computer vision where you'll build your own image recognition system
All the concepts are broken down into simple steps
Show more
Show less

Syllabus

Welcome! Course introduction

What's inside the course?

Why code? Why Python?

The best way to take the course

Download all resources

Some good news

Setting up the environment

Installing Anaconda and introducing Spyder

Introducing Spyder

Python basics + Hands-on coding

PRINT function

Your help needed

Variables and strings - Exercises

The solution

Variables

Strings

Let's write a program

Question 1

Question 2

Question 3

Question 4

Question 5

Conditionals

Intro to conditionals

Logical operators

Not TRUE is FALSE

IF statement

More on functions

Classes

Objects

Class

__Init__

Class variables

Methods

Inheritance

Practical exercise 1

Practical exercise 2

General tips

BIg O

Big O

O(n)

O(n^2)

O(n!)

Summary

50% completion

Advanced Python: Caesar Cipher & Two Sum Problem

Intro

Caesar cipher

Jupyter notebook intro

Caesar cipher solution

Two sum

Two sum solution

Card class

Playing card class

Playing card class solution

Advanced Python: Matplotlib

Matplotlib

Simulating a random walk

Sierpinski triangle

Creating the triangle in Matplotlib

Python imaging library

Advanced Python: Stacks

Intro to stacks

Coding a stack in Python

Practical challenge - stacks

Hint on solving the challenge

Solving the stacks challenge

Towers of Hanoi

Some hints

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Covers Python fundamentals and data structures, which are essential for roles in data science, AI, web development, and other programming fields

Includes hands-on coding exercises and projects, such as the Sierpinski Triangle and Towers of Hanoi, which reinforce learning through practical application

Introduces Git and Github, which are essential skills for professional programmers but often overlooked in introductory courses

Includes an introduction to Pandas and Matplotlib, which are essential data science libraries, allowing learners to explore data analysis and visualization early on

Explores time complexity and Big O notation, which are important concepts for writing efficient code and are often covered in more advanced courses

Features a computer vision capstone project, which allows learners to apply their Python skills to a real-world problem and build an image recognition system

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 Python for Absolute Beginners | Python Beginner to Pro with these activities:

Review Basic Programming Concepts

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Reinforce fundamental programming concepts like variables, loops, and conditionals to build a solid foundation for learning Python.

Browse courses on Programming Fundamentals

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Review online tutorials or introductory programming books.
Complete basic coding exercises on platforms like Khan Academy or Codecademy.
Write simple programs to practice using variables, loops, and conditionals.

Review 'Automate the Boring Stuff with Python'

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Explore practical applications of Python to automate tasks, reinforcing core concepts and demonstrating the language's versatility.

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

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Read through chapters relevant to the course syllabus.
Complete the coding exercises provided in the book.
Try to adapt the examples to solve your own real-world problems.

Build a Simple Calculator

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Apply learned concepts like variables, operators, and control flow to create a functional calculator program.

Show steps

Design the calculator's user interface and functionality.
Write Python code to handle user input and perform calculations.
Test the calculator thoroughly to ensure accuracy and handle errors.
Add features like memory functions or advanced operations.

Four other activities

Expand to see all activities and additional details

Show all seven activities

Solve Python Coding Challenges on HackerRank

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Sharpen problem-solving skills and reinforce Python syntax by tackling coding challenges on HackerRank.

Show steps

Create an account on HackerRank and navigate to the Python section.
Choose a set of challenges based on topics covered in the course.
Write Python code to solve each challenge and submit it for evaluation.
Analyze your solutions and learn from the feedback provided.

Create a Python Cheat Sheet

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Consolidate knowledge and improve retention by creating a concise cheat sheet of Python syntax and common functions.

Show steps

Review course materials and identify key concepts and syntax.
Organize the information into a clear and concise format.
Include examples and explanations for each concept.
Share your cheat sheet with other students for feedback.

Review 'Python Crash Course'

Show steps

Explore a comprehensive introduction to Python with hands-on projects, reinforcing core concepts and expanding your programming skills.

View Python Crash Course, 3rd Edition: A Hands-On,... on Amazon

Show steps

Read through chapters relevant to the course syllabus.
Complete the coding projects provided in the book.
Experiment with different approaches to solve the projects.

Contribute to a Python Open Source Project

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Gain practical experience and contribute to the Python community by participating in an open-source project.

Show steps

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

Career center

Learners who complete Python for Absolute Beginners | Python Beginner to Pro will develop knowledge and skills that may be useful to these careers:

Python Developer

Python developers specialize in creating applications using the Python programming language. This course provides a comprehensive foundation in Python, covering everything from basic syntax to complex data structures and object-oriented programming. The course's many hands-on exercises and projects allow an aspiring Python developer to develop the necessary coding skills. The course also teaches how to use Git and Github for version control and how to work with virtual environments, which are essential skills for any Python developer. The course’s content provides the necessary skills to succeed as a Python developer.

See salaries and explore the career path for Python Developer

Software Engineer

Software engineers are involved in every aspect of the software development lifecycle, from design to deployment. This Python course is very helpful since it introduces the fundamental aspects of programming using Python, a language used by software engineers for diverse tasks. The course provides a thorough overview of using data structures, conditionals, loops, and functions. The course emphasizes problem-solving using code and gives practice in Python with the included exercises and projects. It also covers debugging, which is a critical skill for any software engineer. This course can help develop the necessary programming skills for a career in software engineering.

See salaries and explore the career path for Software Engineer

Software Developer

A software developer designs, creates, and maintains software applications. This Python course helps build a foundation for software development by teaching the fundamentals of Python programming, data structures, and object oriented programming. The course includes hands-on exercises and projects, such as the Sierpinski Triangle, the Towers of Hanoi, and the Computer Vision capstone, which are directly relevant to coding skills required by software developers. A key component of the course is understanding time complexity and Big O notation, essential for optimizing software performance. The course’s content on debugging also allows an aspiring software developer to fix errors efficiently, a core skill in their daily work.

See salaries and explore the career path for Software Developer

Web Developer

Web developers build and maintain websites and web applications, requiring a solid understanding of programming logic and coding. This course provides the fundamental Python skills needed for web development, including working with strings, data structures, and modules. The course introduces using Git and Github for version control, an industry standard for web developers. Additionally, the course covers how to use virtual environments, which is an essential skill for managing project dependencies. This course guides one to become a successful web developer by building a strong base in programming.

See salaries and explore the career path for Web Developer

Data Analyst

Data analysts interpret data to uncover insights and trends, often using programming tools for analysis. This Python course helps build the foundational coding skills required for data analysis. The course teaches data structures, which are essential for manipulating data effectively. The introduction to Pandas and Matplotlib, covered in the course, helps with data analysis and visualization. The course provides practical experience in using Python for common tasks in data analysis, and this may be particularly useful for a career as data analyst.

See salaries and explore the career path for Data Analyst

Data Scientist

Data scientists analyze complex data to extract meaningful insights and create data-driven solutions. This Python course helps build a strong foundation for data science by teaching core programming skills in Python, along with essential data manipulation and visualization techniques. The course covers key data science libraries like matplotlib and Pandas, which are critical tools for data visualization and analysis. Furthermore, the projects, like the Computer Vision capstone, give essential experience in applying data science methods. This course may be particularly useful for anyone wishing to enter the field of data science.

See salaries and explore the career path for Data Scientist

Artificial Intelligence Engineer

Artificial intelligence engineers build intelligent systems that mimic human cognitive functions. This Python course is helpful as it teaches foundational programming skills in Python, which is the main language for artificial intelligence development. The course introduces important concepts such as data structures, functions, modules, and classes. The capstone project on computer vision provides introductory experience with an area of AI that often uses Python. Furthermore, learning to collaborate via Git and Github as covered in the course is essential for working in artificial intelligence teams. This course may be useful for someone entering the field of artificial intelligence engineering.

See salaries and explore the career path for Artificial Intelligence Engineer

Machine Learning Engineer

Machine learning engineers create and deploy machine learning models that solve real-world problems. This course may be useful for such a role, as it covers essential programming skills in Python, which is the core language of machine learning. The course introduces foundational concepts like data structures, time complexity, and modules. The course also includes a computer vision capstone project, which is an introductory exercise in a field frequently used by machine learning engineers. Additionally, familiarity with Git and Github, as taught by the course, is essential for collaborative machine learning projects. This course may be a great starting point for a career in machine learning.

See salaries and explore the career path for Machine Learning Engineer

Computer Vision Engineer

Computer vision engineers focus on developing algorithms and systems to enable computers to 'see' and interpret images. This Python course may be helpful since it has a capstone project centered on computer vision, which is an essential component of such a role. The course teaches fundamental programming concepts in Python, a language commonly used for image analysis. The course gives hands-on practice and projects that may help in building proficiency in computer vision engineering. This course is an excellent start for an aspiring computer vision engineer.

See salaries and explore the career path for Computer Vision Engineer

Quantitative Analyst

Quantitative analysts, often in the financial sector, develop and implement mathematical models for financial analysis. This Python course can be beneficial as it teaches programming fundamentals with Python, which is indispensable for financial modeling. The course covers topics such as data structures, functions, and time complexity. Knowledge of these concepts may be helpful for quantitative analysts, who frequently use them to build their financial models. The inclusion of the Pandas and Matplotlib libraries in the course is also useful for quantitative analysis. This course may be a useful step for work as a quantitative analyst.

See salaries and explore the career path for Quantitative Analyst

Research Scientist

Research scientists conduct scientific investigations, often requiring strong programming skills for data analysis and modeling. This Python course helps build proficiency in using Python, which is an essential language in scientific computing. The course covers important programming concepts such as data structures, functions, and modules. It also introduces using tools such as Pandas and Matplotlib, important for scientific data analysis and visualization. The hands on experience gained may be useful for research scientists, who need to process data for their research. This course may be useful for such a role.

See salaries and explore the career path for Research Scientist

Data Engineer

Data engineers build and maintain the infrastructure for data processing and storage, often using programming for data automation. This course may be helpful as it teaches core Python programming skills needed in data engineering. The course covers foundational concepts like data structures, functions, and modules. Also, the course introduces the use of Git and Github, which is often necessary for collaborative projects in data engineering. This course provides essential introductory Python skills for aspiring data engineers.

See salaries and explore the career path for Data Engineer

Automation Engineer

Automation engineers design, develop, and maintain automated systems, often using programming for control and monitoring. This course helps learn Python, a language often used in automation for its simplicity and versatility. The course content teaches crucial concepts like data structures, conditionals, and loops. It develops problem-solving skills using Python through hands-on exercises and projects. It can be helpful for automation engineers to become proficient in programming, as is taught in this course. This course may be a great start for a career in automation.

See salaries and explore the career path for Automation Engineer

Bioinformatician

Bioinformaticians analyze biological data using computational tools and methods. This Python course is very useful as it provides a foundation in the Python language, which is very important in bioinformatics. The course provides the necessary programming skills and covers topics like data structures, functions, and modules. The inclusion of the Pandas and Matplotlib libraries in the course helps with data analysis and visualization which is essential in bioinformatics. This course may be a great start for a career in bioinformatics.

See salaries and explore the career path for Bioinformatician

Game Developer

Game developers design, program, and test video games. This course may be useful for a career in game development, as it introduces Python, which is sometimes used in game scripting and development. The course covers essential programming skills, including working with data structures, functions, and loops. While game development usually requires specialized game engines, Python often plays a role in tools pipelines and prototyping. This Python course may help build a base for these types of tasks.

See salaries and explore the career path for Game Developer

Python for Absolute Beginners | Python Beginner to Pro

What's inside

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Syllabus

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