DEV Community: The Python Tutorial

Learn Python by Building Real-World Projects | Learn Python in 10 Hours

The Python Tutorial — Tue, 06 Jun 2023 01:11:38 +0000

Learn Python by building real-world projects. Learn the fundamental concepts of Python programming and work on a variety of real-world projects. From web scraping to data visualization, you will have the opportunity to apply your new skills in a practical context and gain a deeper understanding of the language.

This course is designed to give you a solid understanding of the Python programming language by diving deep into the language's capabilities through practical, hands-on projects.

We will start by covering the basics of the Python language, such as data types, variables, control structures, and functions. Once you have a solid foundation in these concepts, we will move on to more advanced topics, such as object-oriented programming, file handling, and error handling.

Throughout the course, you will work on several projects, each building upon the skills you have learned in the previous sections. By the end of the course, you will have a portfolio of projects that demonstrate your proficiency in Python and give you a competitive edge in the job market.

This course is perfect for those who are new to programming, looking to learn Python, or just want to gain practical experience with real-world projects. The course is designed to be easy to follow along, with plenty of examples and exercises to practice what you've learned. So whether you're a beginner or an experienced programmer, this course has something for you. Enroll now and start your journey to mastering Python.

What you'll learn

Essential Python programming concepts, from data types and control structures to functions, classes, and modules.
How to effectively work with Python's standard library and third-party libraries for tasks such as web scraping, data analysis, and automation.
Develop proficiency in handling various data formats, including CSV, JSON, and XML, while also learning to work with databases and data storage solutions.
Explore Python's capabilities in web development and API interaction, creating dynamic websites and consuming data from various sources.
Delve into data science and machine learning, using Python tools like Pandas, NumPy, and scikit-learn to analyze data and make informed predictions.
Enhance your Python skills in desktop application development, using frameworks like Tkinter and PyQt to create visually appealing and feature-rich applications
Gain experience in network programming and cybersecurity, writing Python scripts to automate tasks, monitor networks, and secure systems.
Gain experience in network programming and cybersecurity, writing Python scripts to automate tasks, monitor networks, and secure systems.
Discover best practices for writing efficient, maintainable, and scalable Python code in diverse real-world contexts.
Develop a diverse portfolio of Python projects, showcasing your expertise and problem-solving abilities to potential employers or clients.

Learn Python from Zero to Hero — Learn Python in 10 Hours

The Python Tutorial — Mon, 05 Jun 2023 14:05:33 +0000

Learn about Python programming from zero to hero in this full course for beginners. Learn Python in 10 hours.

After this course, you will be able to start coding with Python.

After this course, you will be able to implement the basic tasks using Python's standard library.

After this course, Build a complete understanding of Python from the ground up!

After this course, You will be able to create your own useful programs for real-world problems.

After this course, Automate tasks on your computer by writing simple Python programs.

After this course, You will be able to enhance your coding skills in Python.

After this course, You will be able to define and use functions.

After this course, You will be able to Understand What modules are, when you should use them, and how to create your own.

After this course, You will be able to Understand What are some Important built-in Python functions that you'll use often.

After this course, You will be able to Understand How to work with various data types including strings, lists, tuples, dictionaries, Booleans, and more.

After this course, You will be able to Understand variables and when to use them.

After this course, You will be able to perform mathematical operations using Python.

After this course, You will be able to capture input from a user.

After this course, You will be able to write multiple Ways to control the flow of your programs.

What you'll learn:

Python programming skills
Understanding Existing Python code
Writing python Code
Debugging skills

Learn Django by Building a Collaborative Filtering

The Python Tutorial — Tue, 30 May 2023 03:41:10 +0000

Learn Django with this one project! Build a Recommendation Engine in Django. Build a collaborative filtering with Python, Celery, Django, Worker Processes, Batch Predictions, SurpriseML, Keras, and more! Build a recommendation engine using Django & a Machine Learning technique called Collaborative Filtering.

Users will rate movies and the system will automatically recommend new ones. These recommendations will be done in batches (ie not in real time) to unlock a more scalable system for training and helping thousands and thousands of users.

For this course, we'll use a real dataset called MovieLens; this dataset is downloaded in CSV and is used on all kinds of machine learning tutorials. What's special about this course is you'll load this dataset into a SQL database through a Django model. This alone might be worth watching the course as SQL databases are far more powerful than CSV files.

To do the batch inference we implement the incredibly powerful background worker process called Celery. If you haven't used Celery before, this will be an eye opening experience and when you couple it with Django you have a truly powerful worker process that can run tasks in the background, run tasks on a schedule, or a combination of both. Tasks in Celery are simply Python functions with a special decorator.

For rating movies, we'll be using HTMX. HTMX is a way to dynamically update content without reloading the page at all. I am sure you know the experience whenever you click "like" or "subscribe" , that's what HTMX gives us without the overhead of using 1 line of JavaScript. This course shows us a practical implementation of using HTMX not just for rating movies, but also sorting them, loading them, and doing much more.

The recommendation engine in Django is really a collection of 3 parts:

Web Process: Setup up Django to collect user's interest and provide recommendations once available.
Machine Learning Pipeline: Extract data from Django, transform it, and train a Collaborative Filtering model.
Worker Process: This is the glue. We'll use Celery to schedule/run the trained model predictions and update data for Django-related user recommendations.

What you'll learn:

Learn

how to integrate Django & Celery
Learn how to use HTMX with Django for Dynamic Loading (no JavaScript Needed)
Training a Machine Learning Model with SurpriseML and an example in Keras
Build a rating system in Django with dynamic rating buttons. These ratings can be used on any Django Model
Learn how to run periodic background task and/or schedule functions to run exactly when needed
How to perform batch inference effectively using Django for any large workloads and/or ML packages
How to load large datasets into a SQL database through Django Models
Where to find great datasets online
How to implement an "infinite" review page that will always give a new item after rating.
So much more!