Python Developer Bootcamp – Beginner to Expert

Python Developer Bootcamp – Beginner to Expert, available at $64.99, has an average rating of 4.65, with 502 lectures, 2 quizzes, based on 383 reviews, and has 2250 subscribers.

You will learn about You will gain job ready skills in Python, Database Development, Full-stack Web Development, Data Science, Machine Learning, Web Scraping & GUI Development Learn Python from beginner to expert level Code along with many hundreds of examples to strengthen basic, intermediate and advanced concepts Learn the cutting edge features of Python Practice Python with more than 150 exercises Master SQL to connect databases to Python applications Learn HTML5 Learn CSS3 Create 2 fully-fledged real-world full-stack web applications with Flask Create 2 fully-fledged real-world full-stack web applications with Django Learn data analysis & manipulation for Data Science with Pandas Learn data computation for Data Science with NumPy Learn data visualization for Data Science with Matplotlib Create Machine Learning Models with Scikit-learn Scrape websites with Beautiful Soup & Scrapy Spiders Learn to create graphical user interfaces This course is ideal for individuals who are Anyone who wants to learn and master the Python programming language or Anyone who wants to branch out from python to full-stack web development, data science, machine learning, web scraping and GUI development or Anyone who wants to gain job ready skills in Python and the many many application that Python has It is particularly useful for Anyone who wants to learn and master the Python programming language or Anyone who wants to branch out from python to full-stack web development, data science, machine learning, web scraping and GUI development or Anyone who wants to gain job ready skills in Python and the many many application that Python has.

Enroll now: Python Developer Bootcamp – Beginner to Expert

Summary

Title: Python Developer Bootcamp – Beginner to Expert

Price: $64.99

Average Rating: 4.65

Number of Lectures: 502

Number of Quizzes: 2

Number of Published Lectures: 502

Number of Curriculum Items: 504

Number of Published Curriculum Objects: 502

Original Price: $199.99

Quality Status: approved

Status: Live

What You Will Learn

You will gain job ready skills in Python, Database Development, Full-stack Web Development, Data Science, Machine Learning, Web Scraping & GUI Development
Learn Python from beginner to expert level
Code along with many hundreds of examples to strengthen basic, intermediate and advanced concepts
Learn the cutting edge features of Python
Practice Python with more than 150 exercises
Master SQL to connect databases to Python applications
Learn HTML5
Learn CSS3
Create 2 fully-fledged real-world full-stack web applications with Flask
Create 2 fully-fledged real-world full-stack web applications with Django
Learn data analysis & manipulation for Data Science with Pandas
Learn data computation for Data Science with NumPy
Learn data visualization for Data Science with Matplotlib
Create Machine Learning Models with Scikit-learn
Scrape websites with Beautiful Soup & Scrapy Spiders
Learn to create graphical user interfaces

Who Should Attend

Anyone who wants to learn and master the Python programming language
Anyone who wants to branch out from python to full-stack web development, data science, machine learning, web scraping and GUI development
Anyone who wants to gain job ready skills in Python and the many many application that Python has

Target Audiences

Anyone who wants to learn and master the Python programming language
Anyone who wants to branch out from python to full-stack web development, data science, machine learning, web scraping and GUI development
Anyone who wants to gain job ready skills in Python and the many many application that Python has

Welcome to the most Comprehensive Python Bootcamp on the planet. This Bootcamp will ensure that you will gain job ready skills. There are so many different and diverse set of technologies that are covered in this Bootcamp.

You will learn and master:

Python
Object Oriented Programming
Error Handling
Python Standard Library
Python Package Index
Structured Query language (SQL)
Database Development with MySQL DBMS
Database Development with SQLite DBMS
Database Development with PostgreSQL DBMS
HTML5
CSS3
Creating Full-stack Web Applications with Flask
Creating Full-stack Web Applications with Django
Data Analysis & manipulation with Pandas for Data Science
Data Computation & Analysis with NumPy for Data Science
Data Visualization with Matplotlib for Data Science
Scikit-learn for Creating Machine Learning Models
Beautiful Soup for Web Scraping
Scrapy Spiders for Web Scraping
GUI App Development with Tkinter

All of the above skills are covered meticulously in the Bootcamp through many hundreds of examples and more than 150 exercises. The content of this Bootcamp is created with the aspect of getting job ready skills in mind and all the sections are accompanied with real-world tips and tricks on how to succeed in your career.

This gigantic Bootcamp has more than 80 hours of content and there are 12 courses bundled into this Bootcamp. These courses harmoniously build on top of each other to give you an uninterrupted and smooth learning experience. Another phenomenal feature of this Bootcamp is its real-world orientation. Also, the emphasis has been put on LEARNING BY DOING. Each individual section contains 10s of examples to account for all the corner cases and application bugs are debugged in real time.

With ever evolving technologies, this Bootcamp will also receive updates to make it as dynamic as possible.

So, what are you waiting for?

Join me in this Bootcamp and Gain Skills that will last a lifetime

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction

Lecture 2: Curriculum

Lecture 3: Installing The Necessary Software

Chapter 2: Python – An Introduction to the Language

Lecture 1: What is Python?

Lecture 2: Getting Started with Python

Lecture 3: Writing, Formatting & Running Python Code

Lecture 4: Command Line Basics & Python Interactive Shell

Chapter 3: Python Variables – Data Types – Basic Grammar

Lecture 1: Variables

Lecture 2: Variable Names

Lecture 3: Data Types Part 1

Lecture 4: Data Types Part 2

Lecture 5: String Methods

Lecture 6: None Special Type

Lecture 7: Escape Sequences

Lecture 8: Number Methods & Operations

Lecture 9: Type Conversion

Lecture 10: Namespace Part 1

Lecture 11: Namespace Part 2

Lecture 12: Input & Output

Chapter 4: Python Logic – Control Flow

Lecture 1: Comparison Operators

Lecture 2: Conditional Statements

Lecture 3: Ternary Operator

Lecture 4: Logical Operators

Chapter 5: Python Loops

Lecture 1: For Loops Part 1

Lecture 2: For Loops Part 2

Lecture 3: Nested Loops

Lecture 4: Iterables

Lecture 5: While Loops

Lecture 6: Infinite Loops

Chapter 6: Python Functions Part 1

Lecture 1: An Introduction to Functions

Lecture 2: Function Parameters & Arguments

Lecture 3: Function Types

Lecture 4: Required & Optional Parameters

Lecture 5: Non-keyword Arguments

Lecture 6: Keyword Arguments

Lecture 7: Scope

Lecture 8: Debugging Code

Chapter 7: Python Data Structures – Lists

Lecture 1: An Introduction to Lists

Lecture 2: The List Method

Lecture 3: Accessing List Items

Lecture 4: List Unpacking

Lecture 5: Looping Over Lists

Lecture 6: Modifying List Items Part 1

Lecture 7: Modifying List Items Part 2

Lecture 8: Finding List Items

Lecture 9: Sorting Lists

Lecture 10: List Comprehension Expressions Part 1

Lecture 11: List Comprehension Expressions Part 2

Lecture 12: Swapping List Items

Chapter 8: Python Data Structures – Dictionaries

Lecture 1: An Introduction to Dictionaries

Lecture 2: Accessing Dictionary Key Values

Lecture 3: Dictionary Methods Part 1

Lecture 4: Dictionary Methods Part 2

Lecture 5: Dictionary Methods Part 3

Lecture 6: Dictionary Methods Part 4

Lecture 7: Dictionary Comprehensions Part 1

Lecture 8: Dictionary Comprehensions Part 2

Lecture 9: Iterating Over Dictionaries

Chapter 9: Python Data Structures – Tuples

Lecture 1: An Introduction to Tuples

Lecture 2: Tuple Packing & Unpacking

Lecture 3: Accessing Tuple Items

Lecture 4: Changing Tuples

Lecture 5: Tuple Methods

Lecture 6: Tuple Operations

Chapter 10: Python Data Structures – Sets

Lecture 1: An Introduction to Sets

Lecture 2: Modifying Sets

Lecture 3: Removing Set Items

Lecture 4: Set Operations

Lecture 5: More Set Methods Part 1

Lecture 6: More Set Methods Part 2

Lecture 7: More Set Operations

Lecture 8: Frozen Set

Lecture 9: Set Comprehensions

Chapter 11: Python Functions Part 2

Lecture 1: The Filter Function

Lecture 2: Anonymous OR Lambda Functions

Lecture 3: The Map Function

Lecture 4: The Zip Function

Lecture 5: The Array Data Structure

Lecture 6: Generator Expressions

Lecture 7: Unpacking Operator

Lecture 8: Recursive Functions

Chapter 12: Python Error Handling – Exceptions

Lecture 1: What are Exceptions

Lecture 2: Exception Handling Part 1

Lecture 3: Exception Handling Part 2

Lecture 4: Exception Handling Part 3

Lecture 5: The with Statement

Lecture 6: Raising Exceptions

Lecture 7: The Bad Side of Raising Exceptions

Instructors

Muslim Helalee
Full Stack Web Developer and Instructor

Rating Distribution

1 stars: 4 votes
2 stars: 3 votes
3 stars: 21 votes
4 stars: 99 votes
5 stars: 256 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

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