Python for Beginners from Udemy

You will learn Python in this course.

Python is one of the fastest-growing languages.

Python is interpreted, object-oriented, high-level, procedure-oriented language

It has different versions

The reason behind it is that there are a huge number of libraries available on the market, many companies and developers are using them, and they can be implemented in many areas.

It is a general-purpose language, as it can be used in Machine learning, GUI, Software Development, Web development, and many more.

Google, YouTube, Dropbox, NASA, and Yahoo use python

Django is a powerful, high-level web framework built with Python that follows the Model-View-Template (MVT) architectural pattern. The Django Software Foundation (DSF) is in charge of maintaining it as a free and open-source framework. The primary objective of Django is to simplify the development process of complex, database-driven websites.

A framework, in general, is a set of pre-written code and tools that provide a structure for building applications. It offers a foundation and common functionalities, allowing developers to focus on application-specific logic rather than dealing with low-level details. Django provides numerous built-in features and libraries that assist in handling common web development tasks, such as URL routing, form handling, authentication, and database management.

There are several reasons why developers choose Django for web development. Firstly, Django emphasizes the concept of "batteries included," meaning it comes with a wide range of ready-to-use components, reducing the need for external libraries. This saves development time and effort. Additionally, Django promotes the use of reusable code through its modular design, enabling developers to build applications quickly and efficiently.

Django can be used to develop both static and dynamic websites. For static websites, Django can serve as a content management system (CMS) where developers can easily manage and update the site's content. For dynamic websites, Django's MVT pattern plays a crucial role. The MVT architecture separates the application logic into three components:

Model: Represents the data structure and database schema. It defines the data models, relationships, and interactions with the database.
View: Handles the business logic and acts as an intermediary between the model and the template. It processes requests, retrieves data from the model, and prepares it for rendering.
Template: Defines the presentation logic and represents the user interface. It determines how the data is displayed to the user.

The MVT pattern promotes a clean separation of concerns, making the code more maintainable, reusable, and testable. Django's built-in ORM (Object-Relational Mapping) simplifies database operations, providing an intuitive way to interact with the database without writing complex SQL queries.

Overall, Django's robust features, scalability, security measures, and its supportive community make it an excellent choice for building large-scale, database-driven websites efficiently and effectively.

What's inside

Learning objectives

How to write a code
Learn python language

Build apps using python
Building web application using python

How to write a code
Learn python language
Build apps using python
Building web application using python

Syllabus

Introduction

Python Installation

Getting Started with Python

Variables and Types

Traffic lights

Read about what's good

what should give you pause

and possible dealbreakers

Covers fundamental programming concepts like variables, data types, operators, conditionals, and loops, which are essential for building a solid foundation in Python

Includes an introduction to Django, a popular Python web framework, enabling learners to build web applications and understand the Model-View-Template architectural pattern

Introduces NumPy for array manipulation, which is a foundational library for data analysis and scientific computing in Python, and is used extensively in data science

Explores object-oriented programming (OOP) concepts such as classes, objects, inheritance, and polymorphism, which are crucial for designing and developing robust software applications

Features database connectivity with MySQL, allowing learners to interact with databases and perform operations using Python, which is a valuable skill for building data-driven applications

Teaches Python 3, which is the current version of the language, but does not explicitly state which minor version of Python 3 is taught in the course

Reviews summary

Beginner python: solid fundamentals and breadth

according to learners, this course is a solid starting point for absolute beginners looking to learn Python. It covers a wide range of fundamental concepts, including data types, control flow, functions, and object-oriented programming basics. Students particularly appreciate the practical coding examples and hands-on exercises which help solidify understanding. While providing a broad overview of various Python applications like databases and web development with Django, some feel the coverage of certain advanced topics and tools could be updated. Overall, it's seen as a great foundation, though learners may need to supplement with further study for more depth or current practices.

Brief look into web development with Django.

"The Django section is a quick look, good if you're curious about web dev with Python."

"Found the Django part confusing and too fast-paced for a beginner..."

"It's helpful to know Django is covered, but you'll definitely need more resources after this section."

Covers many areas but sometimes lacks depth.

"It touches on a lot of topics like OOP, databases, and Django, which is good for an overview."

"The breadth is nice, giving a taste of many areas, but depth on advanced topics could be improved."

"Gives you a look into various Python applications but requires further study to master any single one."

Features useful coding demos and exercises.

"The hands-on coding parts and projects really helped solidify my learning."

"I enjoyed coding along with the instructor, the examples were very useful."

"Examples provided were practical and easy to understand, making concepts stick."

Suitable for those new to programming.

"As someone completely new to coding, I found this course very accessible and easy to follow."

"The explanations are clear and easy for a beginner to follow."

"Perfect starting point if you've never written code before and want to learn Python."

Builds a strong base in core Python concepts.

"This course is excellent for grasping the core Python concepts like loops, functions, and data types."

"I got a solid foundation in Python basics that helped me start coding."

"Helped me understand the fundamental building blocks of Python code..."

Some tools and practices feel outdated.

"Some software suggestions like IDLE or Sublime Text feel old compared to modern tools like VS Code or Jupyter."

"The course would benefit from being updated to the latest Python versions and library practices."

"Could use refreshing with current best practices in Python development environments."

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 Beginners with these activities:

Review Basic Programming Concepts

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Reinforce fundamental programming concepts like variables, data types, and control flow to build a solid foundation for learning Python.

Browse courses on Programming Fundamentals

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Review notes from any previous programming courses or tutorials.
Complete online quizzes or practice exercises on basic programming concepts.
Write simple programs in any language to practice using variables, loops, and conditional statements.

Read "Python Crash Course"

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Provide a comprehensive introduction to Python syntax and programming concepts, complementing the course material.

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

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Read the first few chapters covering basic Python syntax and data structures.
Complete the exercises at the end of each chapter to reinforce your understanding.
Experiment with the code examples provided in the book.

Create a Python Cheat Sheet

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Consolidate your understanding of Python syntax and concepts by creating a cheat sheet for quick reference.

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Review the course materials and identify key Python syntax and concepts.
Organize the information into a concise and easy-to-read cheat sheet.
Include examples and explanations for each concept.

Four other activities

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Help other students in the discussion forums

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Reinforce your understanding of Python by helping other students in the course discussion forums.

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Regularly check the course discussion forums for questions from other students.
Answer questions to the best of your ability, providing clear and concise explanations.
Share code examples and resources to help other students learn.

Practice Python Coding Challenges

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Sharpen your Python coding skills by solving coding challenges on platforms like HackerRank or LeetCode.

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Choose a coding challenge platform like HackerRank or LeetCode.
Select Python-specific challenges focusing on topics covered in the course.
Solve the challenges and analyze your solutions for efficiency and correctness.

Build a Simple Web Application with Django

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Apply your Python and Django knowledge by building a simple web application, such as a to-do list or a blog.

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Set up a Django project and create a basic web page.
Implement models to store data and create views to handle user requests.
Design templates to display data and create interactive forms.
Deploy your web application to a local server or a cloud platform.

Read "Automate the Boring Stuff with Python"

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Explore practical applications of Python by reading "Automate the Boring Stuff with Python" and experimenting with the code examples.

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

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Read chapters related to tasks you find interesting or relevant to your work.
Follow the code examples and adapt them to your own needs.
Experiment with different Python libraries and modules to automate various tasks.

Career center

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

Python Programmer

A Python programmer writes code using the Python programming language for a variety of purposes, from web development to data analysis. This course provides a complete introduction to the Python language, covering key concepts such as variables, data types, functions, and object oriented programming. Python programmers need to be familiar with these core elements of the language, therefore this course is essential. Learning about Python’s various applications, including web development with Django as covered in the course, will prepare someone for a career as a Python programmer.

See salaries and explore the career path for Python Programmer

Web Developer

A web developer creates and maintains websites and web applications. This course provides a starting point by teaching Python and exploring Django, a powerful web framework. Web developers use frameworks like Django to build dynamic and complex websites. This course introduces many aspects of web development, including how to use templates and handle HTTP methods, so individuals looking for a role as a web developer should take the course to gain a foundation in these critical concepts. This course’s exploration of Django and the Model View Template pattern are extremely pertinent.

See salaries and explore the career path for Web Developer

Software Developer

A software developer designs, codes, and tests software applications. This course helps build a foundation in Python, a language widely used in software development. The course covers core programming concepts including data types, operators, conditionals, loops, functions, and object-oriented programming, all of which are essential for a software developer. Learning to build applications with Python, as this course teaches, is directly applicable to the daily work of a software developer. The course also covers using Python with databases, a crucial skill for many software projects.

See salaries and explore the career path for Software Developer

Backend Developer

A backend developer works on the server-side of web applications, handling databases, server logic, and APIs. This course helps an aspiring backend developer by introducing Python and the Django framework. The course covers topics such as database connectivity and the Model View Template architectural pattern, which are essential concepts for backend development. The course's coverage of Django particularly makes it relevant for anyone wanting to be a backend developer working with Python. This course will help build a foundation for backend logic and development.

See salaries and explore the career path for Backend Developer

Full-Stack Developer

A full stack developer works on both the frontend and backend of web applications. This course contributes to the backend skills of a full stack developer by teaching Python and the Django web framework. The course covers the use of Python for handling server logic, working with databases, and using templates. Full Stack developers need to be familiar with the concepts in the course, and so should take the course. This course provides the fundamental building blocks for the server-side aspect of a full stack development role.

See salaries and explore the career path for Full-Stack Developer

Data Scientist

A data scientist analyzes large datasets to extract insights and make predictions, often using machine learning algorithms. This course introduces Python, a core language for data science. This is because Python has numerous data science libraries. The course provides a foundation in programming, which is necessary for data scientists to manipulate and analyze data. The course also introduces NumPy for array and matrix operations, which is essential for numerical computation in data analysis. While this course does not delve into machine learning algorithms directly, anyone interested in a data science career should take this course as a critical first step.

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Machine Learning Engineer

A machine learning engineer develops and implements machine learning models. This course introduces Python, which is a core language in machine learning. This is because it has various libraries for machine learning applications. This course will help machine learning engineers to understand the principles of programming and using basic computational tools. While the course does not cover the specifics of machine learning, it may be useful for someone starting out in the field.

See salaries and explore the career path for Machine Learning Engineer

AI Engineer

An AI engineer develops artificial intelligence systems and applications. This course introduces Python, which is an important language in the field of artificial intelligence, especially for those who wish to work within machine learning. The course provides a foundation in programming that is essential for building AI models. Though the course does not cover the specifics of AI algorithm development, it may be useful for anyone interested in this field.

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Data Analyst

A data analyst collects, processes, and performs statistical analyses on data. This course introduces Python, which is a valuable programming language for data analysis. This is due to the availability of various libraries and functionality for data analysis in Python. The course teaches basic programming concepts, along with using NumPy, which are essential for data analysts. This course may be useful for someone who wishes to work as a data analyst.

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DevOps Engineer

A DevOps engineer manages and automates software development and deployment processes. This course helps build a foundation by teaching Python, a language frequently used in DevOps for scripting and automation tasks. The course covers key programming concepts that are used in DevOps. This course provides the knowledge needed to take the first step into this field, and it may be useful for anyone interested in this career.

See salaries and explore the career path for DevOps Engineer

Automation Engineer

An automation engineer designs and implements automated systems to improve efficiency and reduce manual effort. This course helps build a foundation for automation by introducing Python, a language often used in scripting and automation. The course covers core programming concepts such as loops, conditionals, and functions. The course will teach you to write code from scratch, a crucial skill for an automation engineer. This course can be a useful starting point for this career.

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Research Scientist

A research scientist conducts scientific research across different disciplines. This course introduces Python, a tool that has been adopted by many researchers in scientific computing. The course helps research scientists build programming skills. Although this course does not focus on scientific research, the skills taught may be useful for research scientists. Those who wish to use Python in their research may find this course very helpful.

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Technical Writer

A technical writer creates documentation for technical products and services. This course helps a technical writer increase their understanding of Python and web development. Knowing the basics of how to use the Python language and web frameworks such as Django, will help technical writers who work on documentation for software tools and APIs. The course may be useful, especially for those who expect to be working with software documentation, and for those who wish to understand the tools more deeply.

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Database Administrator

A database administrator manages and maintains databases, ensuring their availability and integrity. While this course does not focus purely on database administration, it covers database connectivity using Python, which is an essential skill that database administrators use. The course teaches how to interact with databases using Python. This course may be useful for someone that wants to be a database administrator, especially for those who wish to expand their options within that role by learning to program.

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Game Developer

A game developer creates video games for various platforms. While this course does not focus on game development specifics, it teaches Python, a language that has been used by game developers for scripting and tools. The course covers essential programming concepts, including loops, conditionals, and functions which can be used in game development. This course may be useful for someone seeking a career in game development, especially if they seek to use Python.

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Python for Beginners

What's inside

Learning objectives

Syllabus

Traffic lights

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Reviews summary

Beginner python: solid fundamentals and breadth

Activities

Career center

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