Python For Beginners To Experts: A Complete Course

Master Python: Transform from Beginner to Expert Developer

What you'll learn

Understand the basics of Python syntax, data types, and control structures.

Develop the ability to write and analyze Python code for simple programs.

Learn how to design and structure Python programs for scalability and maintainability.

Learn to use Object Oriented Programming with classes!

Requirements

No prior programming experience required

Suitable for beginners and learners of all levels

Compatible with Windows, MacOS

Only requires a computer to get started

Description

Enroll in our Python Programming course and acquire one of the most sought-after skills by employers in 2024!This course is designed to be the most comprehensive and straightforward resource for learning the Python programming language on Udemy. Whether you're a complete beginner, have a basic understanding of syntax, or aim to explore advanced Python features, this course caters to your needs. We exclusively focus on Python 3 throughout the entire program.With over 100 lectures and more than 21 hours of video content, this extensive course covers every aspect of Python programming, providing comprehensive insights and practical knowledge.Discover how to apply Python to real-world tasks, such as handling files, modules, web scraping for information, working with image files, and much more!This course emphasizes practical learning, providing a full coding screencast and a corresponding code snippets along with the lectures. Choose the learning style that suits you best.We begin by guiding you through the installation of Python on your computer, regardless of your operating system—be it MacOS, or Windows, we've got you covered.Topics covered include:Installing PythonRunning Python CodeStrings, Lists, Dictionaries, Tuples, SetsNumber Data Types, Print FormattingFunctions, Scope, args/kwargsBuilt-in Functions, Debugging, and Error HandlingModules, External ModulesObject-Oriented Programming, Inheritance,File I/O, Advanced MethodsUnit Tests, and much more!Gain lifetime access to 100+ lectures and corresponding notebooks. We offer a 30-day money-back guarantee. If you're not satisfied, receive a full refund, no questions asked. Your satisfaction is our priority, ensuring you can explore Python programming risk-free and at your own pace.Don't hesitate—start learning Python today in a manner that will propel your career forward, increase your knowledge, and make the process enjoyable and practical!

Overview

Section 1: Python Setup

Lecture 1 Python Tutorial Install and Setup for Mac and Windows

Section 2: Python Object and Data Structure Basics

Lecture 2 Python Tutorial Strings - Working with Textual Data

Lecture 3 Python Tutorial Integers and Floats - Working with Numeric Data

Lecture 4 Python Tutorial Lists, Tuples, and Sets

Lecture 5 Python Tutorial Dictionaries - Working with Key-Value Pairs

Lecture 6 Python Tutorial: Namedtuple - When and why should you use namedtuples?

Lecture 7 Python Tutorial: Sets - Set Methods and Operations to Solve Common Problems

Section 3: Python Statements

Lecture 8 Python Tutorial Conditionals and Booleans - If, Else, and Elif

Lecture 9 Python Tutorial Loops and Iterations - For/While Loops

Lecture 10 Python Tutorial: Else Clauses on Loops

Section 4: Functions

Lecture 11 Python Tutorial Functions

Lecture 12 Variable Scope - Understanding the LEGB rule and global-nonlocal statements

Section 5: Object-oriented programming

Lecture 13 Classes and Instances

Lecture 14 Class Variables

Lecture 15 Class-methods and Static-methods

Lecture 16 Inheritance - Creating Subclasses

Lecture 17 Special (Magic/Dunder) Methods

Lecture 18 Property Decorators - Getters, Setters, and Deleters

Section 6: Modules and Packages

Lecture 19 Pip - An in-depth look at the package management system

Lecture 20 Pipenv - Easily Manage Packages and Virtual Environments

Lecture 21 Python Tutorial- if __name__ == '__main__'

Section 7: Errors and Exception Handling

Lecture 22 Python Tutorial- Using Try-Except Blocks for Error Handling

Lecture 23 Python Tutorial- Duck Typing and Asking Forgiveness, Not Permission (EAFP)

Lecture 24 Python Tutorial- Unit Testing Your Code with the unittest Module

Section 8: Decorator

Lecture 25 Decorators - Dynamically Alter The Functionality Of Your Functions

Lecture 26 Python Tutorial- Decorators With Arguments

Section 9: Generators

Lecture 27 Generators - How to use them and the benefits you receive

Section 10: Advanced Python Modules

Lecture 28 Import Modules and Exploring The Standard Library

Lecture 29 OS Module - Use Underlying Operating System Functionality

Lecture 30 Datetime Module - How to work with Dates, Times, Timedeltas, and Timezones

Lecture 31 CSV Module - How to Read, Parse, and Write CSV Files

Lecture 32 Itertools Module - Iterator Functions for Efficient Looping

Lecture 33 re Module - How to Write and Match Regular Expressions (Regex)

Lecture 34 Working with Zip Files

Lecture 35 Python Tutorial- Calling External Commands Using the Subprocess Module

Lecture 36 Generate Random Numbers and Data Using the random Module

Section 11: Web Scrapping with Python

Lecture 37 Web Scraping with Requests-HTML

Lecture 38 Web Scraping with BeautifulSoup and Requests

Section 12: Setting up a Python Development Environment

Lecture 39 Setting up a Python Development Environment in Eclipse

Lecture 40 Setting up a Python Development Environment in Sublime Text

Section 13: Hiding Passwords and Secret Keys in Environment Variables

Lecture 41 Hiding Passwords and Secret Keys in Environment Variables (Mac & Linux)

Lecture 42 Hiding Passwords and Secret Keys in Environment Variables (Windows)

Section 14: Setting up a Virtual Environment

Lecture 43 Python Tutorial- virtualenv and why you should use virtual environments

Lecture 44 Python Tutorial- Anaconda - Installation and Using Conda

Section 15: Advance Python Objects and String Formatting

Lecture 45 F-Strings - How to Use Them and Advanced String Formatting

Lecture 46 String Formatting - Advanced Operations for Dicts, Lists, Numbers, and Dates

Lecture 47 Python Tutorial- Comprehensions - How they work and why you should be using them

Lecture 48 Python Tutorial- Slicing Lists and Strings

Lecture 49 Python Tutorial- Sorting Lists, Tuples, and Objects

Section 16: Working with File Objects

Lecture 50 Python Tutorial- File Objects - Reading and Writing to Files

Lecture 51 Python Tutorial- Context Managers - Efficiently Managing Resources

Lecture 52 Python Tutorial- Automate Parsing and Renaming of Multiple Files

Section 17: Working with Images with Python

Lecture 53 Python Tutorial- Image Manipulation with Pillow

Section 18: Working with Json Data

Lecture 54 Python Tutorial- Working with JSON Data using the json Module

Lecture 55 Python Requests Tutorial- Request Web Pages, Download Images, POST Data and more

Section 19: Threading and Multiprocessing

Lecture 56 Python Threading Tutorial- Run Code Concurrently Using the Threading Module

Lecture 57 Python Multiprocessing Tutorial- Run Code in Parallel Using the Multiprocessing

Section 20: Logging

Lecture 58 Logging Basics - Logging to Files, Setting Levels, and Formatting

Lecture 59 Logging Advanced - Loggers, Handlers, and Formatters

Section 21: Iterators

Lecture 60 Python Tutorial- Iterators and Iterables - What Are They and How Do They Work

Section 22: SQLite with Python

Lecture 61 Complete Overview - Creating a Database, Table, and Running Queries

Section 23: Jupyter Notebook

Lecture 62 Jupyter Notebook Tutorial- Introduction, Setup, and Walkthrough

Section 24: Quick Tips

Lecture 63 Python Quick Tip- The Difference Between '==' and 'is' (Equality vs Identity)

Lecture 64 Python Tutorial- Custom Sublime Text Build Systems

Lecture 65 Python Tutorial- str() vs repr()

Lecture 66 10 Python Tips and Tricks For Writing Better Code

Section 25: Bonus

Lecture 67 5 Common Python Mistakes and How to Fix Them

Lecture 68 Preparing for a Python Interview- 10 Things You Should Know

Beginners who have never programmed before.,Programmers switching languages to Python.,Intermediate Python programmers who want to level up their skills!,Enhance problem-solving abilities through coding