Python - Complete Python, Django, Data Science and ML Guide from Udemy

Python is the easiest programming language in the world. But at the same time, Python is a powerful tool with which you can solve a huge range of different tasks, from file processing to machine learning, data processing, game creation and web application development .

Thus, having learned Python, you can choose a profession from a wide range of vacancies, or you can use Python to create your own applications and solve your own problems.

This course includes many practical tasks, as well as tasks for self-fulfillment.

Python is an object oriented programming language.

Python is also a language with a huge amount of features, but in order to be able to code in Python, you need to And that's what I'm going to focus on with you in this course.

Before writing code and running examples, you will receive from me explanations and answers to questions WHY and WHY , and only after that HOW to write code.

I will not waste your time and therefore I have created the most effective course structure. All the examples that I will explain and run are written by me before the course, but you will write and run the code yourself.

All video lectures in this course are over 50 hours long , but expect to spend around 500 hours to master all the topics of the course, including self-completion of all practical tasks.

In this course you will learn following key topics:

Foundational Python Programming: Learn the fundamental concepts of Python programming, from data types, functions, and variables to control structures like loops and conditional statements.
Object-Oriented Programming (OOP): Dive into the principles of OOP, understanding classes, objects, inheritance, encapsulation, and polymorphism, and discover how to leverage them for efficient code organization.
File Handling and Modules: Explore file manipulation techniques, from working with directories and files using the os module to using external modules, enabling code reuse, and managing packages with PIP.
Web Development with Django: Get an introduction to web development using Django, covering MVC architecture, URL routing, model creation, and interacting with databases to build dynamic web applications.
API Development: Learn to create RESTful APIs using Django and handle API requests and responses, including authentication, authorization, and versioning.
Game Development with Pygame: Enter the world of game development with Pygame, creating interactive games by working with graphics, animations, and user input.
Data Manipulation with NumPy and Pandas: Discover data analysis and manipulation using NumPy and Pandas, covering array operations, dataframes, and handling real-world data sets.
Error Handling: Understand error handling mechanisms in Python ensuring robust and reliable code.
Package Management and Virtual Environments: Master package management using PIP, create virtual environments to isolate projects, and manage dependencies effectively.
Visualization and Machine Learning: Explore data visualization with Matplotlib, and dip your toes into machine learning concepts with Scikit-Learn, covering model creation, evaluation, and prediction.

Why it's important: This course provides a comprehensive foundation in Python programming, from basic syntax to advanced topics like OOP, web and game development, data manipulation, and more. Understanding these concepts is crucial for building versatile applications, performing data analysis, and even stepping into machine learning, ensuring you're equipped for a wide range of programming tasks and projects.

After completing this course, you can safely say that you KNOW Python and CAN use the most popular Python functions.

As any of my courses this course comes with 30-days money back guarantee. No questions asked.

What's inside

Learning objectives

You will learn the basic principles of python and learn all the main functions that are used most often in real projects and are in demand the most
You will practice all the examples that i will show throughout the course using the python interpreter, visual studio code with code runner
You will master all the necessary packages for data science and machine learning such as numpy, pandas, matplotlib and scikit-learn using jupyter notebook

You will learn the basic functionality of python, ranging from variables, lists, dictionaries, to classes, loops, modules, and creating virtual environments
In addition, you will learn how to use functional and object-oriented approaches in python programming.

You will learn the basic principles of python and learn all the main functions that are used most often in real projects and are in demand the most
You will practice all the examples that i will show throughout the course using the python interpreter, visual studio code with code runner
You will master all the necessary packages for data science and machine learning such as numpy, pandas, matplotlib and scikit-learn using jupyter notebook
You will learn the basic functionality of python, ranging from variables, lists, dictionaries, to classes, loops, modules, and creating virtual environments
In addition, you will learn how to use functional and object-oriented approaches in python programming.

Syllabus

Introduction to Python

Introduction to the Complete Python Guide

Where to Write and Run Python Code

Practice - Installing Python

Practice - Using the Python Interactive Interpreter

Installing and Using PyCharm IDE

Installing PyCharm

Getting Familiar with the PyCharm Interface

Course and Project Files

Download Project Files

Basic Concepts in Python

Key Concept in Python

Main Data Types in Python

Practice - Working with Main Data Types

Introduction to Functions and Built-in Functions in Python

Built-in Functions

Practice - Defining and Using Functions

Practice - Using the Return Statement in Functions

Practice - Exploring Built-in Functions

Practice - Using the built-in dir() Function

Practice - Gathering User Input with the built-in input() Function

Code Formatting and PEP8

Code Indentations

Practice - Working with Indentations

Following PEP 8 Guidelines

Enabling Auto-Formatting in PyCharm

Comments

Practice - Adding Comments to Your Code

Expressions and Instructions

Understanding Expressions

Understanding Statements

Practice - Using Expressions

Practice - Using Statements

Variables

Practice - Defining and Using Variables

Data Types and Structures

Understanding Dynamic Typing

Types and Data Structures Overview

Variables and Objects

Practice - Using the built-in id() Function

Practice - Exploring Core Data Classes (str, int, bool, list, dict)

Practice - Using the built-in isinstance() Function

Strings

Practice - String Manipulation

Practice - String Methods

String Concatenation

Practice - Concatenating Strings using the + Operator

Practice - Using f-strings for String Formatting

Practice - Alternative String Formatting Methods

Numeric Types

Integers

Practice - Integers Manipulation

Float Numbers

Practice - Floating-Point Numbers Manipulation

Working with Complex Numbers

Boolean Type

Boolean Values

Practice - Working with Boolean Values

Type Conversion

Magic Methods

Practice - Utilizing Magic Attributes and Methods

Lists

List Methods

Practice - Working with Lists

Copying Lists

Practice - Copying Lists

TASK - Working with Lists

Dictionaries

Practice - Manipulating Dictionaries

Practice - Dictionary Methods

Other Operations with Dictionaries

Practice - Using the get() Method for Dictionaries

Practice - Converting Other Types to a Dictionary

TASK - Working with Dictionaries

Tuples

Practice - Tuples Manipulation

Sets

Practice - Working with Sets

Understanding Set Theory

Set Methods

Practice - Usage of the Set Methods

Practice - Calculating Symmetric Difference of Sets

TASK - Working with Sets

Ranges

Practice - Range Manipulation

Practice - Range Methods and Attributes

Working with Sequences

Built-in Functions for Sequences

Built-in zip() Function

Practice - Working with zip Objects

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Provides a solid foundation in core Python programming concepts and principles, enabling you to grasp the building blocks of the language

Encompasses both foundational and advanced topics, including OOP, web and game development, data manipulation, and machine learning, offering a comprehensive Python learning experience

Leverages various tools and technologies, such as NumPy, Pandas, Matplotlib, and Scikit-Learn, equipping you with essential skills for data analysis and manipulation

Emphasizes practical application and hands-on exercises throughout the course, solidifying your understanding of the concepts and enabling you to apply them effectively

Comes with a 30-day money-back guarantee, providing you with peace of mind and ensuring satisfaction with your learning investment

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 - Complete Python, Django, Data Science and ML Guide with these activities:

Python Basics Review

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Strengthen your foundational understanding of Python syntax and concepts before starting the course.

Browse courses on Python Basics

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Review your notes or online resources on Python basics
Practice writing simple Python programs
Take an online quiz or assessment to test your knowledge

Organize Course Materials

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Improve your learning efficiency by organizing your course notes, assignments, and resources.

Browse courses on Note-Taking

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Create a dedicated folder or notebook for your course materials
Organize your notes by topic or module
Keep track of assignments, quizzes, and exam dates
Store additional resources, such as articles, videos, and online tutorials
Review your organized materials regularly to reinforce your learning

Code runner practice

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Improve your Python coding skills by practicing with Code Runner.

Browse courses on Python

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Install Python and Code Runner extension
Write simple Python code in the interactive interpreter
Run your code using the Code Runner shortcut
Practice writing and running Python programs with Code Runner

Five other activities

Expand to see all activities and additional details

Show all eight activities

NumPy Tutorial

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Gain proficiency in data manipulation with NumPy by following a comprehensive tutorial.

Browse courses on NumPy

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Find a reputable NumPy tutorial
Follow the tutorial step-by-step
Practice the NumPy functions and methods
Apply your NumPy skills to real-world data manipulation tasks

Python Cookbook

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Enhance your Python skills by exploring practical recipes and solutions from the Python Cookbook.

View Python Cookbook: Recipes for Mastering Python 3 on Amazon

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Obtain a copy of the Python Cookbook
Browse the table of contents to identify relevant recipes
Read and understand the selected recipes
Implement the recipes in your own Python programs

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.

Browse courses on Open Source

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Identify a Python open-source project that aligns with your interests and skills
Review the project's documentation and codebase
Find a suitable issue or feature to contribute to
Fork the project, make your changes, and submit a pull request
Collaborate with the project maintainers to get your changes merged

Python Project

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Solidify your Python knowledge by creating a practical project that showcases your skills.

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Identify a project idea that aligns with your interests and course objectives
Plan and design your project, outlining the features and functionality
Implement your project using Python and appropriate libraries
Test and debug your project thoroughly
Document your project with clear and concise comments

Django Web Application

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Demonstrate your mastery of Django by developing a full-fledged web application.

Browse courses on Django

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Plan and design your web application, defining its features and functionality
Set up a Django project and configure the necessary settings
Create Django models, views, and templates for your application
Implement database interactions, user authentication, and other essential features
Test and deploy your Django web application

Career center

Learners who complete Python - Complete Python, Django, Data Science and ML Guide will develop knowledge and skills that may be useful to these careers:

Data Analyst

Data Analysts collect, clean, and interpret data to help businesses make informed decisions. This course can help you develop the skills needed to succeed in this role, including data manipulation, visualization, and machine learning. The course's focus on Python, a popular programming language in data analysis, makes it particularly relevant.

See salaries and explore the career path for Data Analyst

Data Scientist

Data Scientists use statistical and machine learning techniques to extract insights from data. This course can help you build a foundation in Python, a key language in data science, and introduce you to essential data analysis and machine learning concepts. The course's emphasis on practical examples and hands-on exercises will provide you with valuable experience.

See salaries and explore the career path for Data Scientist

Machine Learning Engineer

Machine Learning Engineers design and implement machine learning models. This course can help you develop the Python skills necessary for this role, as well as provide an introduction to machine learning concepts and algorithms. The course's hands-on approach, utilizing Jupyter Notebook, will give you practical experience in building and evaluating machine learning models.

See salaries and explore the career path for Machine Learning Engineer

Software Engineer

Software Engineers design, develop, and maintain software applications. This course can help you build a strong foundation in Python, a widely used programming language, and introduce you to key software development concepts. The course's emphasis on code formatting, PEP8 guidelines, and error handling will prepare you for professional software development.

See salaries and explore the career path for Software Engineer

Web Developer

Web Developers create and maintain websites. This course can help you develop the Python skills needed for web development, as well as introduce you to frameworks such as Django and APIs. The course's focus on practical examples and real-world projects will provide you with hands-on experience in building and deploying web applications.

See salaries and explore the career path for Web Developer

Game Developer

Game Developers design and develop video games. This course can help you develop the Python skills needed for game development, as well as introduce you to frameworks such as Pygame. The course's emphasis on graphics, animations, and user input will provide you with hands-on experience in building and deploying games.

See salaries and explore the career path for Game Developer

Quantitative Analyst

Quantitative Analysts use mathematical and statistical models to analyze financial data. This course can help you develop the Python skills needed for this role, as well as provide an introduction to data analysis and machine learning concepts. The course's emphasis on NumPy and Pandas, popular libraries for data manipulation and analysis, will give you a valuable foundation.

See salaries and explore the career path for Quantitative Analyst

Business Analyst

Business Analysts use data and analysis to help businesses make informed decisions. This course can help you develop the Python skills needed for this role, as well as provide an introduction to data analysis and visualization concepts. The course's focus on real-world examples and case studies will give you hands-on experience in solving business problems using Python.

See salaries and explore the career path for Business Analyst

Data Engineer

Data Engineers design and maintain data pipelines and infrastructure. This course can help you develop the Python skills needed for this role, as well as provide an introduction to data management concepts. The course's emphasis on file handling, modules, and package management will provide you with a solid foundation in data engineering.

See salaries and explore the career path for Data Engineer

DevOps Engineer

DevOps Engineers bridge the gap between development and operations teams. This course can help you develop the Python skills needed for this role, as well as provide an introduction to software development and deployment concepts. The course's focus on virtual environments, package management, and error handling will give you a valuable foundation in DevOps.

See salaries and explore the career path for DevOps Engineer

IT Support Specialist

IT Support Specialists provide technical support to users. This course can help you develop the Python skills needed for this role, as well as provide an introduction to computer hardware and software concepts. The course's emphasis on code formatting, error handling, and troubleshooting will give you a valuable foundation in IT support.

See salaries and explore the career path for IT Support Specialist

Product Manager

Product Managers are responsible for the development and launch of products. This course may be helpful in developing the technical skills needed for this role, as it provides a broad overview of Python and its applications. The course's focus on project management and real-world examples will give you insights into the product development process.

See salaries and explore the career path for Product Manager

Project Manager

Project Managers plan and execute projects. This course may be helpful in developing the technical skills needed for this role, as it provides an introduction to Python and its applications. The course's emphasis on project management and real-world examples will give you insights into the project management process.

See salaries and explore the career path for Project Manager

Systems Analyst

Systems Analysts design and implement computer systems. This course may be helpful in developing the technical skills needed for this role, as it provides an introduction to Python and its applications. The course's emphasis on systems analysis and design will give you insights into the systems development process.

See salaries and explore the career path for Systems Analyst

Technical Writer

Technical Writers create documentation for technical products. This course may be helpful in developing the technical skills needed for this role, as it provides an introduction to Python and its applications. The course's emphasis on clear and concise writing will give you a valuable foundation in technical writing.

See salaries and explore the career path for Technical Writer