Python Programming: The Complete Python Bootcamp 2024

Python from Scratch. Learn Data Science and Visualization, Automation, Excel, SQL and Scraping with Python.100% Hands-On

4.66 (2063 reviews)

Udemy

platform

English

language

Programming Languages

What you will learn

You will MASTER all the Python 3 key concepts starting from Scratch. No prior Python knowledge is required.

For each Key Concept you'll get a Hi-Quality HD Video, a Coding Section, a quiz, practice exercises and slides.

Build a comprehensive understanding of Python 3 from the ground up. Write professional, Pythonic code using the best practices.

Learn to work with Python control flow structures: if, for, while, break, continue, pass, exceptions, try-except-else-finally blocks etc.

Master all the Python data structures: strings, lists, tuples, sets, dictionaries.

Learn to work efficiently with Text and CSV files (including using Pandas).

Master Network Automation using SSH, Paramiko, Netmiko, Telnet or Serial Connections.

Learn to work with Pip and Python Modules: Sys, Os, Subprocess, Shutil, Random, Decimal.

Learn how to send Emails with Python (SMTPLIB)

Acquire an in-depth understanding of how to use multithreading and multiprocessing in Python.

Acquire a good Understanding of Async IO and how to build Asynchronous Applications in Python

Learn to use HTTP Requests Library and BeautifulSoup and create an automated web scraping application.

Learn to work with SQL Databases in Python.

Learn to efficiently work with Excel Files and automate spreadsheet-related tasks.

Learn to Analyse Data with Pandas.

Learn to Create Interactive Charts with Plotly.

Acquire the prerequisite Python Skills to move into specific branches: AI, Machine Learning, Data Science, Network Automation, Web.

Acquire an In-Depth Understanding of Decorators, Inner Functions and Closures.

You will learn how to create web apps (front-ends) with Streamlit.

You will learn how to use AI Coding companions such as Jupyter AI and GitHub Copilot.

Why take this course?

***Fully updated for 2024*** This Python Bootcamp covers every major Python topic, including Object-Oriented Programming, Decorators, Working with Excel, Working with Databases, Web Scraping, Data Science with Pandas, Data Visualization with Plotly, Network Automation, Multiprocessing and Threading, and many more!

Course Updates:

Update: December 2023 - NEW Section: Coding with AI: Jupyter AI.
Update: October 2023 - NEW Section: Coding with AI: GitHub Copilot.
Update: August 2023 - NEW Section: Creating front-ends for Data Science, Machine Learning and AI apps using Streamlit.

Update: November and December 2022 - After years of design and testing, I've decided to re-record the first part of the course from scratch (12+ hours of video content). This is a brand new course that is also 2023-ready.
Update: Summer 2022 - Re-recording the entire section "Setup the Environment".
Update: Spring 2022 - Updates to the latest libraries.
Update: July 2020 - NEW Section: Sending Emails with Python (SMTPLIB).
Update: June 2020 - NEW Section: Async IO in Python (async/await, aiohttp, aiofiles, asyncssh).
Update: April 2020 - FIVE NEW Sections of Coding Challenges with Solutions: Data Structures, Flow Control, Functions, Working with Text, CSV, and Excel Files.
Update: November 2019 - NEW Section: Decorators In-Depth (one hour of videos, coding sections, and a Quiz).
Update: October 2019 - NEW Section: Data Serialization and Deserialization in Python (Pickle, JSON, and REST APIs).
Update: June 2019 - NEW Section: Interactive Data Visualization with Plotly (2 hours of videos, coding sections, a Project, and a Quiz).
Update: May 2019 - NEW Section: Data Analysis with Pandas (2 hours of videos, coding sections, and a Quiz).
Update: May 2019 - NEW Lectures: Jupyter Notebook (Installing and How to Use).
Update: April 2019 - NEW Section: Massive Section of Coding Challenge Exercises (over 25 coding exercises directly in Udemy Platform), Quiz Updates, NEW Videos about List, Set, and Dictionary Comprehension.
Closed and Exclusive Discord Community created: March 30, 2019.
Course Launch: March 20, 2019.

This course IS NOT like any other Python Programming course you can take online. At the end of this course, you will MASTER all the Python 3 key concepts starting from scratch and you'll be among the top Python Programmers.

Welcome to this practical Python Programming course for learning Python, the most in-demand programming language across the job market in 2023.

I am constantly updating the course to be the most comprehensive, yet straightforward, Python Programming course on the planet!

★★★★★ "This is the only course you need in order to MASTER every key aspect of Python. Don't look for other Python courses because it's a waste of time." by Daniel A.

★★★★★ "This Python course, though I am still halfway through, is the best I have seen so far, that is why I am giving it a 5 star. I am enrolled in two more Python courses in Udemy, and this is the most useful. Keep it up!" by Malvin Arceo

★★★★★ "This is an excellent course for anyone who wants to learn Python from scratch or just do a refresher of a language. Everything is well explained, and many quizzes and coding exercises are very helpful. Highly recommended :)" by Tomaso

★★★★★ "Overall a great Python course, with lots of extra details added, to make it as comprehensive as possible. At the moment, I consider it the best Python course for anybody who wants to learn more about this subject." by Racz Tamas

This course, taught by a Senior Software Engineer and Professional Trainer, is the only one you need in order to become a complete professional Python Programmer. After this course, you'll have an in-depth knowledge of core and advanced Python 3 and can move into specific branches: Artificial Intelligence (AI), Machine Learning, Data Science, Network Automation, or Web Development.

Why this Python Programming course?

This Python Bootcamp is a unique experience on Udemy. There are tons of existing Python courses you can choose from, but this course is completely different since it has many years of design and testing behind it.

You'll have access to my closed and exclusive Discord community with tens of thousands of members in order to provide you with improved, faster and better support for your course-related questions. I am always available to guide you personally and answer any questions you might have.

★★★★★ "Exactly what is required for someone who is familiar with programming languages. Andrei dives into the basics and explains very well. Assignments are helpful. Highly recommend it for someone who is interested in learning Python." by Nara

★★★★★ "What can I say, it's a great course. Well explained, quizzes, and code exercises. It's up to date and I'm having a blast learning Python. No regrets!" by Adam Leo

Have you ever programmed before? Just starting out with Python Programming and have the desire to learn the employers' most requested skills of 2023 in a practical way? Perfect. Then, this course is the right one for you. This Python course will help you go from beginner to pro in Python. You'll boost your career with hands-on Python Programming Skills!

Or maybe you are coming from other programming languages such as Java or C++ and want to learn Python? I'm here to help you and we'll put all the pieces together. This Python Programming course has everything you need to know to become a proficient Python Developer.

You'll have lifetime access and you can return and look for a specific Python library or example anytime you want. And let's not forget, if you don't like the course, you are covered by a 30-day money-back guarantee, full refund, no questions asked!

In this course, you'll learn the best practices of the Python programming language and how to write code the "Pythonic" way. Together we will go deeper into Python and you will understand every key concept of Python thoroughly. Then, after taking this course, you will be able to code on your own.

This course is based on Python 3 and doesn't require prior Python Programming Knowledge. Everything is included in the course. This Python for beginners course teaches you the Python Language fast.

Why should you learn from me?

I'm a practitioner and an enthusiast. Welcome to the real world! I have 20 years of experience as a Software Engineer. Since I started with Programming and Networking in the early 2000s, I've been using or studying technology almost on a daily basis. I also have a bunch of certifications in the area of Programming or Networking: Python Institute Instructor, Cisco CCNP Routing & Switching, CCNP Security, CCNP Service Provider, and Certified Certified Instructor.
I'm an educator and I know how to make a syllabus. For the last 15 years, I've trained hundreds of thousands of people in Programming and Networking.
You'll learn not only general Python Programming but also advanced concepts for real-world projects. After this course, you'll MASTER all the Python 3 key concepts.

★★★★★ "This is actually one of the best courses around regarding Python. Andrei is taking the students from the basic stages all the way to advanced ones ." by Alex Pascu

Every topic includes many live examples in Python, a complete Python Cheat Sheet, a coding section, numerous quizzes, slides, practice tests and code challenges with solutions.

At the end of this Python Course, you'll also have acquired the prerequisite Python skills to move deeply into specific branches: Artificial Intelligence (AI), Machine Learning, Data Science, Network Automation, or Web Development using frameworks like Django or Flask.

If you want to take ONE COURSE to master Python Programming from scratch you should choose this one and you'll have no regrets.

Content

Course Introduction

Why Python Programming? Why Now?

IMPORTANT. Please read!

How to Get the Most of This Course

How to Get Better and Faster Support? JOIN MY PRIVATE FACEBOOK COMMUNITY!

Setup the Programming Environment

Section Introduction

Installing Python 3 on Windows

Installing Python 3 on Linux and Mac

Installing PyCharm IDE on Windows

Installing PyCharm IDE on Linux and Mac

Running Python Code using the Python Interpreter

Running Python Scripts using PyCharm

Running Python Scripts using the Command Line

Test Your Knowledge: Running Python Scripts using the Command Line

Python Basics

Variables

Coding - Variables

Comments

Coding - Comments

Constants

Dynamic vs. Static Typing

Built-in Types

Coding - Built-in Types

Test Your Knowledge: Variables, Comments and Constants

Variable Basics

Coding Exercise Solution

Numbers and Math Operators

Coding - Numbers and Math Operators

Math Operators

Coding Exercise Solution

Conversions

Coding Exercise Solution

Comparison and Identity Operators. Mutability vs. Immutability

Coding - Comparison and Identity Operators

Solving the Float Problem. Writing Bugs-Free Code

Test Your Knowledge: Math Operators

Boolean Variables

Coding - Boolean Variables

Boolean Operators

Coding - Boolean Operators

Test Your Knowledge: Booleans

Booleans Expressions

Coding Exercise Solution

Strings in Python

Intro to Strings

Coding - Intro to Strings

Printing Special Characters

Coding Exercise Solution

Get User Input

Type Casting

Coding - User Input and Casting

Type Casting

Coding Exercise Solution

String Indexing and Operations

Coding Exercise Solution

String Slicing

String Slicing 1

Coding Exercise Solution

String Slicing 2

Coding Exercise Solution

String Slicing 3

Coding Exercise Solution

Test Your Knowledge: String Basics

Formatting Strings

Recap - Printing Strings

Coding - String Indexing, Operations, Slicing and Formatting

Formatting Strings

Coding Exercise Solution

String Methods

Coding - String Methods

Test Your Knowledge: Formatting Strings and String Methods

String Methods

Coding Exercise Solution

Program Flow Control in Python

If Elif and Else Statements

Coding - If Elif and Else Statements

Test Your Knowledge: If Elif and Else Statements

If Elif and Else Statements

Coding Exercise Solution

For Loops

Ranges In Depth

For Loops

Coding Exercise Solution

Ranges

Coding Exercise Solution

For and Continue Statement

For and Break Statement

Coding - For, Ranges, Continue and Break

For and Break Statement

Coding Exercise Solution

While Loops

While and Continue Statement

While and Break Statement

Coding - While, Continue and Break

Test Your Knowledge: For and While Loops

While Loops

Coding Exercise Solution

Lists in Python

Intro to Lists

List Operations

Coding - Intro to Lists and Operations

Test Your Knowledge: Intro to Lists and Operations

List Basics

Coding Exercise Solution

List Methods Part 1: Append, Extend, Insert, Copy

List Methods Part 2: Clear, Pop, Index, Count

List Methods Part 3: Sort, Max, Min and Sum

String to List and List to String: Split and Join Methods

Coding - List Methods

Test Your Knowledge: List Methods

String to List and List to String

Coding Exercise Solution

List Methods

Coding Exercise Solution

List Comprehension

Coding - List Comprehension

List Comprehension

Coding Exercise Solution

Tuples in Python

Intro to Tuples

Tuple Operations

Tuple Methods

Tuples vs. Lists

Coding - Tuples

Test Your Knowledge: Tuples

Tuples

Coding Exercise Solution

Sets and Frozensets in Python

Intro to Sets

Lists, Tuples and Sets

Coding Exercise Solution

Set Methods Part 1: Add, Clear, Copy, Remove, Discard, Pop

Coding - Intro to Sets and Set Methods

Test Your Knowledge: Intro to Sets and Set Methods

Set Methods Part 2: Difference, Symmetric Difference, Union, Intersection

Set Methods

Coding Exercise Solution

Fronzensets

Coding - Set Operations and Frozensets

Test Your Knowledge: Set Operations and Frozensets

Dictionaries in Python

Intro to Dictionaries

Working with Dictionaries

Coding - Working with Dictionaries

Test Your Knowledge: Working with Dictionaries

Dictionary Creation

Coding Exercise Solution

Working with Dictionaries

Coding Exercise Solution

Dictionary Operations and Methods

Coding - Dictionary Operations and Methods

Test Your Knowledge: Dictionary Operations and Methods

Dictionary Operations

Coding Exercise Solution

Set and Dictionary Comprehension

Coding - Zip, Set and Dictionary Comprehension

Dictionary Comprehension

Coding Exercise Solution

Functions in Python

Intro to Functions

Your First Function

Coding Exercise Solution

The return Keyword

Returning a Result

Coding Exercise Solution

Functions Arguments: Positional, Default, Keyword, *args and **kwargs

Coding - Intro to Functions, Return Keyword and Arguments

Test Your Knowledge: Intro to Functions, Return Keyword and Arguments

Scopes and Namespaces

One More Detail about Scope and Namespace

Coding - Scopes and Namespaces

Test Your Knowledge: Scopes and Namespaces

Scopes and Namespaces

Coding Exercise Solution

The Special Constant None

Lambda Expressions

Coding -Lambda Expressions

Test Your Knowledge: Lambda Expressions

Reverse a String

Coding Exercise Solution

Count Vowels in a String

Coding Exercise Solution

Number of Vowels and Consonants in a String

Coding Exercise Solution

Working with Text Files in Python

Opening and Reading Files

Reading Files: Tell, Seek and Cursors

Opening and Reading Text Files using seek() and read()

Coding Exercise Solution

The With Keyword

Reading Files into a List

Test Your Knowledge: Reading a File into a List

Reading Files into a List

Coding Exercise Solution

Writing to Text Files

Test Your Knowledge: Writing Text Files

Appending to Text Files

Coding Exercise Solution

Coding - Working with Files

Assignment: File Processing

Assignment Answer: File Processing

Errors and Exception Handling

Intro to Exceptions

Exception Handling: Try...Except...Else...Finall

Coding - Exception Handling

Test Your Knowledge: Errors and Exceptions Handling

Object Oriented Programming: Classes and Objects

Intro to Object Oriented Programming

Defining Classes and Objects

The __init__ Method

The __del__ Method

Test Your Knowledge: OOP Basics

Creating Classes and Objects

Coding Exercise Solution

Instance Attributes and Class Attributes

Magic Methods

Coding - Object Oriented Programming

Test Your Knowledge: OOP Attributes and Magic Methods

Magic Methods

Coding Exercise Solution

RECAP: General Python Programming - Coding and Complete E-Book - Part 1

Congratulations!

Complete Python Programming E-Book - Part 1

Complete Coding - Python Programming - Part 1

MASSIVE SECTION OF CODING CHALLENGE EXERCISES

Section Introduction

Number of Digits in the Total Number of IPv6

Coding Exercise Solution

Updating Dictionaries

Coding Exercise Solution

Working with Dictionaries

Coding Exercise Solution

Accessing List Elements

Coding Exercise Solution

List Slicing

Coding Exercise Solution

Lists and Ranges

Coding Exercise Solution

Inserting into a List

Coding Exercise Solution

List Comprehension Challenge

Coding Exercise Solution

Set Intersection

Coding Exercise Solution

Set Union

Coding Exercise Solution

String Methods and List Operations

Coding Exercise Solution

Functions and Type Casting

Coding Exercise Solution

Remove Duplicates from a List Using a Foor Loop

Coding Exercise Solution

Remove Duplicates from a List Using List Comprehension

Coding Exercise Solution

List of Palindromes using List Comprehension

Coding Exercise Solution

Function that Removes all Occurrences of an Item from a List

Coding Exercise Solution

Operations on Lists: Removing Duplicates and Sorting

Coding Exercise Solution

Parsing and Processing a Text File (show arp)

Coding Exercise Solution

Lambda that Calculates the Area of a Square

Coding Exercise Solution

Formatting Numbers

Coding Exercise Solution

Print the Values in a Dictionary Sorted by Keys

Coding Exercise Solution

Dictionary Comprehension

Coding Exercise Solution

Working with Python Modules

Intro to Python Modules

Importing Modules

Custom Modules. __name__ and "__main___"

Coding - Importing Python Modules

Test Your Knowledge: Working with Python Modules

Importing Modules

Coding Exercise Solution

Manage External Modules with Pip

Test Your Knowledge: Manage External Modules with Pip

Very Useful Python Built-in Modules

System-specific Parameters and Functions: The Sys Module

Script's Arguments: sys.argv

Coding - The Sys module

Test Your Knowledge: The Sys Module

Operating System Interfaces: The Os Module

Project: File Renaming Automation Using Sys and Os Module

Coding - The Os Module

Test Your Knowledge: The Os Module

High-level File Operations: The Shutil Module

Coding - The Shutil Module

Test Your Knowledge: The Shutil Module

Running System Commands: The Os Module

Running System Commands: The Subprocess Module

Coding - Running System (shell) Commands

Test Your Knowledge: Running System Commands

The Random Module

Coding - The Random Module

Test Your Knowledge: The Random Module

Decimal Arithmetic and Decimal Module: Solving the Float Problem

The Decimal Module: Contexts and Methods

Coding - The decimal Module

Test Your Knowledge: Decimal Arithmetic and Decimal Module

Decorators in Python

High Order Functions

Inner Functions, Closures and Free Variables

Coding - Closures

Creating and Using Decorators

The @ Syntax

Decorators with Different Signatures (*args, **kwargs)

Introspection: Using @functools.wraps() to Preserve Metadata

Coding - Decorators Template

Decorators Application: Speed Test

Application Source Code

Test Your Knowledge: Closures and Decorators

Working with CSV Files in Python

Intro to CSV

Reading CSV Files

Coding - Reading CSV Files

Test Your Knowledge: Reading CSV Files

Writing CSV Files

Coding - Writing CSV Files

Using Custom Delimiters

Using CSV Dialects

Coding - Custom CSV Files and Dialects

Test Your Knowledge: Writing CSV Files and Dialects

Data Serialization and Deserialization in Python (Pickle and JSON)

Intro to Data Serialization

Pickle Data Serialization and Deserialization

Coding - Pickle

JSON Data Serialization

JSON Data Deserialization

Coding - JSON

Assignment: JSON and Requests/REST API

Assignment Answer: JSON and Requests/REST API

Coding Challenge: Simplify Serialization

Coding Challenge Solution: Simplify Serialization

Coding Challenge - JSON and Requests/REST API

Coding Challenge Solution - JSON and Requests/REST API

Test Your Knowledge: Data Serialization (JSON & Pickle)

Working with Excel Files in Python

Setup the Environment. Installing OpenPyXL

Excel Basics

Reading Excel Files

Reading Data in a Cell Range

Coding - Reading Excel Files

Test Your Knowledge: Reading Excel Files

Writing Excel Files

Coding - Writing Excel Files

Creating New Excel Files

Coding - Creating New Excel Files

Test Your Knowledge: Writing Excel Files

Using Excel Formulas

Coding - Excel Formulas

Sheets Operations

Coding - Sheets Operations

Working with Styles

Coding - Working with Styles

Test Your Knowledge: Excel Formulas, Sheet Operations and Styles

Working with SQL Databases in Python

Intro to SQLite

When to Use SQLite

Connecting to a SQLite DB and Creating Tables with Python

Coding - Connecting to an SQLite DB and Creating Tables

Inserting with Python

Coding - Inserting

Selecting with Python

Coding - Selecting

Parameterized Sql Statements

Coding - Parameterized Sql Statements

Updating with Python

Coding - Updating

Deleting with Python

Coding - Deleting

Data Analysis with Pandas

Intro to Jupyter Notebook. Installing Jupyter Notebook

How to use Jupyter Notebook

Intro to Pandas. Installing Pandas

Pandas Series

Coding - Pandas Series

Pandas DataFrames I. Working with Columns

Pandas DataFrames I. Working with Rows

Coding - Working with Rows and Columns

Pandas DataFrames II. Filtering Data

Coding - Filtering Data

Reading and Analyzing CSV Files with Pandas

Coding - Reading and Analyzing CSV Files

Reading Excel Files. GroupBy and Other Useful Operations

Coding - Reading Excel Files and GroupBy

Reading and Analyzing HTML Pages with Pandas

Coding - Reading HTML Files

Working with Missing Data

Coding - Working with Missing Data

Test Your Knowledge: Pandas

Interactive Data Visualization with Plotly

Intro to Python Visualization Libraries

Installing Plotly

Creating Scatter Plots

Coding - Scatter Plots

Creating Line Charts

Coding - Line Charts

PROJECT: Line Charts for Ethereum and Tesla Stock Price

PROJECT SOLUTION: Line Charts for Ethereum and Tesla Stock Price

Creating Basic Bar Charts

Creating Grouped and Stacked Bar Charts

Coding - Bar Charts

Creating Pie Charts

Coding - Pie Charts

Creating Histograms

Coding - Histograms

Test Your Knowledge: Plotly

Requests and Web Scraping with Python

Intro to Web Scraping using Requests and BeautifulSoup

Setup the Environment. Installing Requests and BeautifulSoup

Diving into Requests HTTP Library

Coding - Requests Library

Diving into BeautifulSoup Library

Coding - BeautifulSoup Library

Project: Real-World Web Scraping (Requests, BeautifulSoup and OpenPyXL)

Python Multiprocessing and Multithreading In Depth

Python Parallel Processing Theory

Multiprocessing vs. Multithreading

Multithreading and Multiprocessing: Pros and Cons

Test Your Knowledge: Parallel Processing in Python

Implementing Multiprocessing in Python

Coding - Implementing Multiprocessing

Implementing Multithreading in Python

Coding - Implementing Multithreading

Test Your Knowledge: Implementing Multiprocessing and Threading

Sharing Data Between Processes using Value

Coding - Sharing Data Using Value

Sharing Data Between Processes using Array

Coding - Sharing Data using Array

Implementing Multiprocessing Locks

Coding - Implementing Locks

[Bonus] Network Automation with Python

Section Introduction

Download and Install the Required Software: GNS3, VirtualBox, Linux,Cisco Images

Where do I get Cisco IOS Images

Just a few Words about Windows Installation

Installing GNS3 on Windows 10

Running Cisco IOU Images in GNS3 on Windows 10

Connecting to Cisco IOU Images Running in GNS3 from Window 10

Bytes Objects, Encoding and Decoding

Serial Communication Basics. Connecting to a Console Port

Open a Serial Connection to a Cisco Device Console Port

Configure Cisco Devices using Serial Connections

Telnet Protocol Basics. Configure and Connect to Cisco Devices

Connecting to Cisco Networking Devices with Telnet from Python

Getpass Module

Network Automation using Telnet. Configure Multiple Cisco Devices

Intro to Paramiko

Bonus: Enable SSH on Cisco Devices

Running a Command on a Cisco Device using Paramiko(SSH)

Running a Command on Linux using Paramiko(SSH)

Configure Loopback and OSPF on a Cisco Router using Paramiko (SSH)

Secure Copying Files to Linux with SCP and Paramiko from Python

Intro to Netmiko

Connecting and Running a Command on a Cisco Networking Device

Netmiko prompt. Enable & Global Config Mode

Running Multiple Commands on a Cisco Networking Device

Configure a Cisco Networking Device from a File

Configure Multiple Cisco Networking Devices from Multiple Files

Configure Backup using Netmiko

Complete E-Book - Part 2

Complete Python Programming E-Book - Part 2

Contents to Come!

New Content to be Added

Course Completion

Congratulations

BONUS: Special Thank You Gift!

Screenshots

Python Programming: The Complete Python Bootcamp 2024 - Screenshot_01

Python Programming: The Complete Python Bootcamp 2024 - Screenshot_02

Python Programming: The Complete Python Bootcamp 2024 - Screenshot_03

Python Programming: The Complete Python Bootcamp 2024 - Screenshot_04

Our review

📚 **Course Overview:** The course in question is a comprehensive Python training program designed for individuals with varying levels of programming experience, from beginners to those looking to deepen their understanding of Python. The course is delivered by instructor Andrei Neagu, who is highly regarded by students for his clear explanations and thorough approach to teaching. **Pros:** - **Instructor Quality:** Students have praised Andrei Neagu for his exceptional teaching abilities, stating that he explains concepts well and provides valuable insights through "what if" scenarios. His dedication to ensuring students deeply understand the fundamentals sets him apart from other instructors. - **Content Coverage:** The course covers a wide range of Python topics, including practical exercises and examples that cater to both beginners and those with prior knowledge of the language. It also includes advanced subjects and important modules, ensuring a holistic learning experience. - **Learning Tools:** The inclusion of quizzes, challenges, and projects as part of the learning process is highly appreciated, as it allows for practical application of skills learned and helps solidify knowledge. - **Pacing:** Despite some criticism about the pace being slow, many students find the pacing to be appropriate, allowing them to grasp complex concepts without feeling rushed. - **Diverse Learning Materials:** The course offers a variety of learning resources, including subtitles (even if they occasionally need correction) and coding samples that build confidence. - **Real-World Application:** Students have highlighted the course's practical approach, emphasizing its application in real-world scenarios, which is essential for effective learning. - **Community Feedback:** The course structure, exercises, and overall teaching strategy are highly recommended by students who have completed it, with many expressing their satisfaction and eagerness to apply what they've learned. **Cons:** - **Pacing Issues:** A few students found the pace of the course too slow, suggesting that adults might struggle to complete it solely due to the speed of delivery. - **Subtitle Accuracy:** Some students pointed out inaccuracies with the auto-generated subtitles, which can sometimes be a source of confusion. - **Challenges and Quizzies:** While the quizzes and challenges are praised for their educational value, some students indicated that the solutions provided for certain coding challenges were not appropriate or well-arranged, particularly in the Object-Oriented Programming (OOP) section. - **Content Suggestions:** A student suggested the inclusion of a final exam to review the course material comprehensively from start to finish. Another recommended the addition of code testing (QA) basics and tools to cover an aspect that was overlooked in the curriculum. - **Language and Clarity:** A few students had difficulty with voice clarity, which occasionally made understanding the content more challenging. Additionally, some conceptual aspects were not fully satisfactory, such as the question regarding variable maximum length in the variable concept section. **Conclusion:** Overall, this Python course is highly regarded by its students, who appreciate the comprehensive nature of the curriculum, the clear and thorough instruction provided by Andrei Neagu, and the variety of learning materials available. While there are some areas for improvement, such as the pace, subtitle accuracy, and challenges/quizzies, the course remains a solid choice for anyone looking to learn Python from scratch or enhance their existing skills. The positive feedback greatly outweighs the negative comments, indicating that this course is an valuable asset for anyone's educational toolkit.

Coupons

Submit by	Date	Coupon Code	Discount	Emitted/Used	Status
-	5/17/2021	C509C1650F2FC8FF9878	92% OFF		expired
-	4/15/2024	911D84D0EFEC3A72950C	89% OFF		expired

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Python Programming: The Complete Python Bootcamp 2024 - Distribution chart

Python Programming: The Complete Python Bootcamp 2024

What you will learn

You will MASTER all the Python 3 key concepts starting from Scratch. No prior Python knowledge is required.

For each Key Concept you'll get a Hi-Quality HD Video, a Coding Section, a quiz, practice exercises and slides.

Build a comprehensive understanding of Python 3 from the ground up. Write professional, Pythonic code using the best practices.

Learn to work with Python control flow structures: if, for, while, break, continue, pass, exceptions, try-except-else-finally blocks etc.

Master all the Python data structures: strings, lists, tuples, sets, dictionaries.

Learn to work efficiently with Text and CSV files (including using Pandas).

Master Network Automation using SSH, Paramiko, Netmiko, Telnet or Serial Connections.

Learn to work with Pip and Python Modules: Sys, Os, Subprocess, Shutil, Random, Decimal.

Learn how to send Emails with Python (SMTPLIB)

Acquire an in-depth understanding of how to use multithreading and multiprocessing in Python.

Acquire a good Understanding of Async IO and how to build Asynchronous Applications in Python

Learn to use HTTP Requests Library and BeautifulSoup and create an automated web scraping application.

Learn to work with SQL Databases in Python.

Learn to efficiently work with Excel Files and automate spreadsheet-related tasks.

Learn to Analyse Data with Pandas.

Learn to Create Interactive Charts with Plotly.

Acquire the prerequisite Python Skills to move into specific branches: AI, Machine Learning, Data Science, Network Automation, Web.

Acquire an In-Depth Understanding of Decorators, Inner Functions and Closures.

You will learn how to create web apps (front-ends) with Streamlit.

You will learn how to use AI Coding companions such as Jupyter AI and GitHub Copilot.

Why take this course?

Content

Course Introduction

Setup the Programming Environment

Python Basics

Strings in Python

Program Flow Control in Python

Lists in Python

Tuples in Python

Sets and Frozensets in Python

Dictionaries in Python

Functions in Python

Working with Text Files in Python

Errors and Exception Handling

Object Oriented Programming: Classes and Objects

RECAP: General Python Programming - Coding and Complete E-Book - Part 1

MASSIVE SECTION OF CODING CHALLENGE EXERCISES

Working with Python Modules

Very Useful Python Built-in Modules

Decorators in Python

Working with CSV Files in Python

Data Serialization and Deserialization in Python (Pickle and JSON)

Working with Excel Files in Python

Working with SQL Databases in Python

Data Analysis with Pandas

Interactive Data Visualization with Plotly

Requests and Web Scraping with Python

Python Multiprocessing and Multithreading In Depth

[Bonus] Network Automation with Python

Complete E-Book - Part 2

Contents to Come!

Course Completion

Screenshots

Our review

Coupons

Charts

Price

Rating

Enrollment distribution

Related Topics