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Learn Python By Coding

10 Projects

Federico Azzurro

4.5

Based on 445 ratings

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Federico Azzurro

Are you ready to become a true Python programmer and learn some of the most demanded skills on the market in programming for 2024?

Who is this course for?

This course is for anyone who wants to improve their understanding of how Python works by creating real projects. There will be plenty of homework assignments that will really help you improve your skills in Python, so that the next time you want to create project, you'll have the creativity and the ability to actually do so.

Why should you pick this course and not the others?

Are you ready to become a true Python programmer and learn some of the most demanded skills on the market in programming for 2024?

Who is this course for?

Why should you pick this course and not the others?

There are thousands of Python courses on the internet, so why should you pick this one? Well, to put it simply, I believe that I teach programming concepts in a far more effective way than a majority of the courses on the Internet. I make sure to only teach what's essential and needed, so that you don't waste time with code that you will never see or use in your entire career. I'm a self-taught professional and will teach you how you can be the same.

30 Day Money-Back Guarantee

During the first 30 days of this course you can opt in to get your money back. Whether it's because you feel that this course is not right for you, or changed your mind about learning Python, you can easily request a refund which will be handled kindly by Udemy.

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What's inside

Learning objectives

How to use python effectively to build projects
How type annotations affect your code

How to create scripts to make everyday life easier
Really useful tips and tricks in python

How to use python effectively to build projects
How type annotations affect your code
How to create scripts to make everyday life easier
Really useful tips and tricks in python

Syllabus

Introduction

PyCharm

Type Annotations

Resources

Traffic lights

Read about what's good

what should give you pause

and possible dealbreakers

Study of Python is important for professionals in technology

Teaches how to craft scripts for everyday use

Exercises build skills beyond theory

Instructor highlights industry-standard practices

Course covers a wide range of Python applications

This instructor is an experienced professional with active industry experience

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Reviews summary

Build real python projects

According to students, this course offers a largely positive experience, particularly for those who prefer hands-on learning. Learners consistently praise the practical projects, which are key to developing problem-solving skills and understanding Python's application in real-world scenarios. The instructor's explanations are often described as clear and concise, making complex concepts like type annotations accessible. While some wish for more in-depth theoretical discussions, the course excels at providing a solid foundation for building various Python scripts and applications.

Suitable for new coders, but some advanced learners might desire more depth.

"As a beginner, I found the explanations clear and the projects achievable, building my confidence in Python."

"The course is great for getting started with Python projects, but I was hoping for more advanced techniques or alternative solutions."

"It provides a solid foundation for those new to Python, but intermediate users might find some parts too basic."

Instructor explains complex topics with great clarity and provides useful insights.

"The instructor breaks down complex ideas into understandable steps, making it easy to follow along even with new concepts."

"I appreciate how the instructor not only showed how to code but also explained the 'why' behind decisions, which is crucial for learning."

"Lessons are well-paced and the instructor is very articulate, which made the learning process smooth and enjoyable."

Learning by doing through practical, real-world coding challenges.

"The hands-on coding and projects are the strongest part of the course for me, truly solidifying my understanding of Python."

"I loved how each section built a new project; it made learning Python incredibly practical and engaging."

"This course helped me apply Python concepts immediately, which is exactly what I needed to build my portfolio and confidence."

Provides a strong base but may require additional resources for advanced topics.

"While excellent for practical application, I feel some theoretical aspects could use more in-depth coverage to round out understanding."

"I needed to supplement with external resources for a deeper understanding of specific Python modules or complex algorithms."

"Don't expect this to be your only resource; it's a great starting point but not a comprehensive deep dive into every Python concept."

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 Learn Python By Coding: 10 Projects with these activities:

Read Python Crash Course, 2nd Edition

Show steps

Provide context and background material about core Python programming concepts introduced in the course.

View Python Crash Course, 2nd Edition: A Hands-On,... on Amazon

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Acquire a copy of Python Crash Course, 2nd Edition.
Read through chapters 1-5.
Complete the practice exercises at the end of each chapter.

Follow a Python Tutorial Series on YouTube

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Supplement course material with additional video tutorials to reinforce concepts and gain different perspectives.

Browse courses on Python Programming

Show steps

Search for Python tutorial series on YouTube.
Select a series that aligns with your learning style.
Watch the videos and take notes.
Complete the practice exercises provided in the videos.

Participate in an Online Python Study Group

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Connect with fellow learners, share knowledge, and engage in discussions to deepen understanding.

Browse courses on Python Programming

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Join an online Python study group or forum.
Participate in discussions and ask questions.
Share your own knowledge and insights.
Collaborate on projects or assignments.

Four other activities

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Show all seven activities

Build a Simple Python Calculator

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Provide hands-on experience in implementing Python concepts covered in the early modules of the course.

Show steps

Plan the calculator's functionality.
Write the Python code for the calculator.
Test the calculator thoroughly.
Refactor the code for clarity and efficiency.

Develop a Python Script to Automate a Task

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Apply Python skills to a practical problem and gain experience in creating useful tools.

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Identify a task that can be automated.
Design the Python script.
Implement the Python script.
Test the script thoroughly.
Document the script for future use.

Solve Python Coding Challenges on LeetCode

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Sharpen problem-solving skills and gain exposure to a variety of Python coding scenarios.

Browse courses on Python Programming

Show steps

Register for a LeetCode account.
Select a difficulty level and start solving problems.
Review solutions and learn from others' approaches.
Track progress and identify areas for improvement.

Create a Python Tutorial on Type Annotations

Show steps

Enhance understanding of type annotations by creating a resource that explains and demonstrates their use.

Browse courses on Python Programming

Show steps

Research type annotations in Python.
Create an outline for the tutorial.
Write the tutorial content.
Proofread and edit the tutorial.
Publish the tutorial online or share it with others.

Career center

Learners who complete Learn Python By Coding: 10 Projects will develop knowledge and skills that may be useful to these careers:

Reading list

We've selected 50 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Learn Python By Coding: 10 Projects.

Fluent Python

Save

Serves as the ultimate masterclass in idiomatic Python, guiding developers through data models, generators, metaprogramming, and concurrent concurrency patterns.

Learn Python By Coding

What's inside

Learning objectives

Syllabus

Traffic lights

Save this course

Reviews summary

Build real python projects

Activities

Career center

Reading list

Share

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