Python Programming: The Complete Python Bootcamp 2024

Focused View

Andrei Dumitrescu,Crystal Mind Academy

21:09:51

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01 - Course Introduction

001 Why Python Programming Why Now.mp4

01:25

002 IMPORTANT. Please read!.html

003 How to Get the Most Out of This Course.mp4

03:11

003 Slides-How-to-get-the-most-of-this-course.pdf

004 Python Cheat Sheet.html

005 Join Our Online Community!.html

external-assets-links.txt

02 - Setup the Programming Environment

001 Python Installation.mp4

02:10

002 Running Python Code in a Cloud IDE.mp4

03:29

003 Installing Python on Windows.mp4

02:49

004 Installing Python on Linux and macOS.html

005 Installing PyCharm IDE on Windows.mp4

03:22

006 Installing PyCharm IDE on Linux and macOS.html

007 Running Python Code using the Python Interpreter.mp4

05:59

008 Running Python Scripts using PyCharm.mp4

04:45

009 Running Python Scripts using the Command Line.mp4

03:39

external-assets-links.txt

03 - Python Basics

001 Slides-Variables.pdf

001 Variables.mp4

09:13

002 Coding - Variables.html

003 Comments.mp4

02:57

003 Slides-Comments.pdf

004 Coding - Comments.html

005 Constants.mp4

01:44

006 Dynamic vs. Static Typing.mp4

05:18

006 Slides-Statically-vs-Dinamically-Typing.pdf

007 Built-in Types.mp4

04:07

007 Slides-Built-in-Types.pdf

008 Coding - Built-in Types.html

009 Coding Exercise Solution.html

010 Numbers and Math Operators.mp4

13:06

010 Slides-Numbers-and-Math-Operators.pdf

011 Coding - Numbers and Math Operators.html

012 Coding Exercise Solution.html

013 Coding Exercise Solution.html

014 Comparison and Identity Operators. Mutability vs. Immutability.mp4

08:51

014 Slides-Camparison-Operators.pdf

015 Coding - Comparison and Identity Operators.html

016 Float-Problem.pdf

016 Solving the Float Problem. Writing Bugs-Free Code.mp4

10:37

017 Boolean Variables.mp4

07:59

017 Slides-Boolean-Variables.pdf

018 Coding - Boolean Variables.html

019 Boolean Operators.mp4

06:03

019 Slides-Boolean-Expressions.pdf

020 Coding - Boolean Operators.html

021 Coding Exercise Solution.html

external-assets-links.txt

04 - Strings in Python

001 Intro to Strings.mp4

08:55

001 Slides-Intro-to-Strings.pdf

002 Coding - Intro to Strings.html

003 Coding Exercise Solution.html

004 Get User Input.mp4

05:46

005 Type Casting.mp4

06:18

006 Coding - User Input and Casting.html

007 Coding Exercise Solution.html

008 Slides-String-Indexing.pdf

008 String Indexing and Operations.mp4

07:04

009 Coding Exercise Solution.html

010 String Slicing.mp4

06:08

011 Coding Exercise Solution.html

012 Coding Exercise Solution.html

013 Coding Exercise Solution.html

014 Formatting Strings (F-Strings).mp4

08:13

014 Slides-String-Formatting.pdf

015 Recap - Printing Strings.mp4

04:05

016 Coding - String Indexing, Operations, Slicing and Formatting.html

017 Coding Exercise Solution.html

018 String Methods.mp4

11:30

019 Coding - String Methods.html

020 Coding Exercise Solution.html

external-assets-links.txt

05 - Program Flow Control in Python

001 If Elif and Else Statements.mp4

11:54

001 Slides-If-Elif-Else.pdf

002 Coding - If Elif and Else Statements.html

003 Coding Exercise Solution.html

004 For Loops.mp4

10:24

004 Slides-For.pdf

005 Ranges In Depth.mp4

04:24

005 Slides-Ranges.pdf

006 Coding Exercise Solution.html

007 Coding Exercise Solution.html

008 For and Continue Statement.mp4

05:06

009 For and Break Statement.mp4

05:35

009 Slides-For-and-Break.pdf

010 Coding - For, Ranges, Continue and Break.html

011 Coding Exercise Solution.html

012 Slides-While.pdf

012 While Loops.mp4

06:31

013 While and Continue Statement.mp4

04:33

014 While and Break Statement.mp4

06:26

015 Coding - While, Continue and Break.html

016 Coding Exercise Solution.html

06 - Lists in Python

001 Intro to Lists.mp4

05:33

001 Slides-List-Operations.pdf

002 List Operations.mp4

10:44

002 Slides-List-Operations.pdf

003 Coding - Intro to Lists and Operations.html

004 Coding Exercise Solution.html

005 List Methods Part 1 Append, Extend, Insert, Copy.mp4

08:36

006 List Methods Part 2 Clear, Pop, Index, Count.mp4

08:13

007 List Methods Part 3 Sort, Max, Min and Sum.mp4

04:45

008 Slides-List-Split-and-Join.pdf

008 String to List and List to String Split and Join Methods.mp4

04:39

009 Coding - List Methods.html

010 Coding Exercise Solution.html

011 Coding Exercise Solution.html

012 List Comprehension.mp4

09:02

013 Coding - List Comprehension.html

014 Coding Exercise Solution.html

07 - Tuples in Python

001 Intro to Tuples.mp4

04:52

001 Slides-Intro-to-Tuples.pdf

002 Slides-Tuple-Operations.pdf

002 Tuple Operations.mp4

02:45

003 Tuple Methods.mp4

04:27

004 Slides-Tuples-vs-Lists.pdf

004 Tuples vs. Lists.mp4

04:20

005 Coding - Tuples.html

006 Coding Exercise Solution.html

08 - Sets and Frozensets in Python

001 Intro to Sets.mp4

07:16

001 Slides-Intro-to-Sets.pdf

002 Coding Exercise Solution.html

003 Set Methods Part 1 Add, Clear, Copy, Remove, Discard, Pop.mp4

05:19

003 Slides-Set-Methods-part1.pdf

004 Coding - Intro to Sets and Set Methods.html

005 Set Methods Part 2 Difference, Symmetric Difference, Union, Intersection.mp4

07:04

005 Slides-Set-Methods-part2.pdf

006 Coding Exercise Solution.html

007 Fronzensets.mp4

04:40

007 Slides-Frozensets.pdf

008 Coding - Set Operations and Frozensets.html

external-assets-links.txt

09 - Dictionaries in Python

001 Intro to Dictionaries.mp4

03:51

001 Slides-Intro-to-Dictionaries.pdf

002 Working with Dictionaries.mp4

05:13

003 Coding - Working with Dictionaries.html

004 Coding Exercise Solution.html

005 Coding Exercise Solution.html

006 Dictionary Operations and Methods.mp4

09:10

006 Slides-Dictionary-Operations-and-Methods.pdf

007 Coding - Dictionary Operations and Methods.html

008 Coding Exercise Solution.html

009 Set and Dictionary Comprehension.mp4

07:20

010 Coding - Zip, Set and Dictionary Comprehension.html

011 Coding Exercise Solution.html

10 - Hands-On Coding Challenges - Strings, Lists, Sets, Dictionaries and Flow Control

001 Hands-On Challenges PART 1 - Strings, Lists, Sets, Dictionaries and Flow Control.html

002 Hands-On Challenges PART 2 - Strings, Lists, Sets, Dictionaries and Flow Control.html

11 - Functions in Python

001 Intro to Functions.mp4

10:20

001 Slides-Intro-to-Functions.pdf

002 Coding Exercise Solution.html

003 Slides-The-return-keyword.pdf

003 The return Keyword.mp4

06:35

004 Coding Exercise Solution.html

005 Functions Arguments Positional, Default, Keyword, args and kwargs.mp4

15:34

005 Slides-Function-Arguments.pdf

006 Coding - Intro to Functions, Return Keyword and Arguments.html

007 Scopes and Namespaces.mp4

13:05

007 Slides-Scopes-and-Namespaces.pdf

008 One More Detail about Scope and Namespace.mp4

03:24

009 Coding - Scopes and Namespaces.html

010 Coding Exercise Solution.html

011 The Special Constant None.mp4

03:05

012 Lambda Expressions.mp4

05:44

012 Slides-Lambdas.pdf

013 Coding -Lambda Expressions.html

014 Coding Exercise Solution.html

015 Coding Exercise Solution.html

016 Coding Exercise Solution.html

12 - Hands-On Coding Challenges - Functions

001 Hands-On Challenges - Functions.html

13 - Working with Text Files in Python

001 Opening and Reading Files.mp4

05:07

001 Slides-Files.pdf

002 Reading Files Tell, Seek and Cursors.mp4

03:41

003 Coding Exercise Solution.html

004 The With Keyword.mp4

02:43

005 Reading Files into a List.mp4

04:00

005 configuration.txt

006 Coding Exercise Solution.html

007 Writing to Text Files.mp4

07:19

008 Coding Exercise Solution.html

009 Coding - Working with Files.html

010 Assignment File Processing.mp4

02:12

010 devices.txt

011 Assignment Answer File Processing.mp4

03:56

14 - Hands-On Coding Challenges - Working With Text Files

001 Hands-On Challenges - Working With Text Files.html

15 - Errors and Exception Handling

001 Intro to Exceptions.mp4

05:59

002 Exception Handling Try...Except...Else...Finall.mp4

12:07

003 Coding - Exception Handling.html

external-assets-links.txt

16 - Object Oriented Programming Classes and Objects

001 Intro to Object Oriented Programming.mp4

04:27

001 Slides-Intro-to-OOP.pdf

002 Defining Classes and Objects.mp4

03:47

003 The init Method.mp4

07:20

004 The del Method.mp4

02:10

005 Coding Exercise Solution.html

006 Instance Attributes and Class Attributes.mp4

07:00

006 Slides-Attributes.pdf

007 Magic Methods.mp4

07:17

007 Slides-Magic-Methods.pdf

008 Coding - Object Oriented Programming.html

009 Coding Exercise Solution.html

17 - Your First Milestone

001 Congratulations!.html

002 Python Cheat Sheet.html

18 - MASSIVE SECTION OF CODING CHALLENGE EXERCISES

001 Section Introduction.html

002 Coding Exercise Solution.html

003 Coding Exercise Solution.html

004 Coding Exercise Solution.html

005 Coding Exercise Solution.html

006 Coding Exercise Solution.html

007 Coding Exercise Solution.html

008 Coding Exercise Solution.html

009 Coding Exercise Solution.html

010 Coding Exercise Solution.html

011 Coding Exercise Solution.html

012 Coding Exercise Solution.html

013 Coding Exercise Solution.html

014 Coding Exercise Solution.html

015 Coding Exercise Solution.html

016 Coding Exercise Solution.html

017 Coding Exercise Solution.html

018 Coding Exercise Solution.html

019 Coding Exercise Solution.html

020 Coding Exercise Solution.html

021 Coding Exercise Solution.html

022 Coding Exercise Solution.html

023 Coding Exercise Solution.html

19 - Working with Python Modules

001 Intro to Python Modules.mp4

06:40

001 Slides-Intro-to-Modules.pdf

002 Importing Modules.mp4

06:00

002 Slides-Importing-Modules.pdf

003 Custom Modules. name and main .mp4

10:30

004 Coding - Importing Python Modules.html

005 Coding Exercise Solution.html

006 Manage External Modules with Pip.mp4

11:00

006 Slides-Pip.pdf

20 - Very Useful Python Built-in Modules

001 System-specific Parameters and Functions The Sys Module.mp4

07:18

002 Scripts Arguments sys.argv.mp4

08:18

003 Coding - The Sys module.html

004 Operating System Interfaces The Os Module.mp4

06:04

005 Project File Renaming Automation Using Sys and Os Module.mp4

04:44

006 Coding - The Os Module.html

007 High-level File Operations The Shutil Module.mp4

07:42

008 Coding - The Shutil Module.html

009 Running System Commands The Os Module.mp4

03:41

010 Running System Commands The Subprocess Module.mp4

05:03

011 Coding - Running System (shell) Commands.html

012 The Random Module.mp4

07:07

013 Coding - The Random Module.html

014 Decimal Arithmetic and Decimal Module Solving the Float Problem.mp4

08:24

015 The Decimal Module Contexts and Methods.mp4

08:25

016 Coding - The decimal Module.html

017 Sending Text Emails With Python (SMTPLIB).mp4

09:02

017 send-text-emails.zip

018 Sending HTML Emails With Python.mp4

02:05

018 send-html-emails.zip

018 test-email.html

019 Adding Attachments.mp4

05:18

019 python.pdf

019 send-email-attachment.zip

external-assets-links.txt

21 - Decorators in Python

001 High Order Functions.mp4

06:57

002 Inner Functions, Closures and Free Variables.mp4

07:07

003 Coding - Closures.html

004 Creating and Using Decorators.mp4

08:53

005 The @ Syntax.mp4

09:16

005 decorators-syntax.py.zip

006 Decorators with Different Signatures (args, kwargs).mp4

04:10

007 Introspection Using @functools.wraps() to Preserve Metadata.mp4

04:22

008 Coding - Decorators Template.html

009 Decorators Application Speed Test.mp4

09:43

010 Application Source Code.html

22 - Working with CSV Files in Python

001 Intro to CSV.mp4

01:59

002 Reading CSV Files.mp4

07:04

002 airtravel.csv

003 Coding - Reading CSV Files.html

003 airtravel.csv

004 Writing CSV Files.mp4

05:53

004 people.csv

005 Coding - Writing CSV Files.html

005 people.csv

006 Using Custom Delimiters.mp4

02:45

006 passwd.csv

007 Using CSV Dialects.mp4

04:51

007 items.csv

008 Coding - Custom CSV Files and Dialects.html

008 items.csv

008 passwd.csv

external-assets-links.txt

23 - Hands-On Coding Challenges - Working With CSV Files

001 Hands-On Challenges - Working With CSV Files.html

24 - Data Serialization and Deserialization in Python (Pickle and JSON)

001 Intro to Data Serialization.mp4

03:29

002 Pickle Data Serialization and Deserialization.mp4

06:21

003 Coding - Pickle.html

004 JSON Data Serialization.mp4

06:29

005 JSON Data Deserialization.mp4

05:36

006 Coding - JSON.html

007 Assignment JSON and RequestsREST API.mp4

01:46

008 Assignment Answer JSON and RequestsREST API.mp4

03:54

009 Coding Challenge Simplify Serialization.html

010 Coding Challenge Solution Simplify Serialization.html

011 Coding Challenge - JSON and RequestsREST API.html

012 Coding Challenge Solution - JSON and RequestsREST API.html

external-assets-links.txt

25 - Working with Excel Files in Python

001 Setup the Environment. Installing OpenPyXL.mp4

04:22

002 Excel Basics.mp4

02:29

002 store.xlsx

003 Reading Excel Files.mp4

08:43

003 store.xlsx

004 Reading Data in a Cell Range.mp4

06:19

005 Coding - Reading Excel Files.html

005 store.xlsx

006 Writing Excel Files.mp4

04:48

007 Coding - Writing Excel Files.html

008 Creating New Excel Files.mp4

02:54

009 Coding - Creating New Excel Files.html

010 Using Excel Formulas.mp4

04:23

011 Coding - Excel Formulas.html

012 Sheets Operations.mp4

06:18

013 Coding - Sheets Operations.html

014 Working with Styles.mp4

10:26

015 Coding - Working with Styles.html

external-assets-links.txt

26 - Hands-On Coding Challenges - Working With Excel Files

001 Hands-On Challenges - Working With Excel Files.html

27 - Working with SQL Databases in Python

001 Intro to SQLite.mp4

05:50

001 Slides-Intro-to-Sqlite.pdf

002 Slides-When-to-Use-Sqlite.pdf

002 When to Use SQLite.mp4

03:25

003 Connecting to a SQLite DB and Creating Tables with Python.mp4

08:35

004 Coding - Connecting to an SQLite DB and Creating Tables.html

005 Inserting with Python.mp4

08:28

006 Coding - Inserting.html

007 Selecting with Python.mp4

06:23

008 Coding - Selecting.html

009 Parameterized Sql Statements.mp4

05:13

010 Coding - Parameterized Sql Statements.html

011 Updating with Python.mp4

05:00

012 Coding - Updating.html

013 Deleting with Python.mp4

03:37

014 Coding - Deleting.html

external-assets-links.txt

28 - Data Analysis with Pandas

001 Intro to Jupyter Notebook. Installing Jupyter Notebook.mp4

05:36

002 How to use Jupyter Notebook.mp4

08:51

003 Intro to Pandas. Installing Pandas.mp4

03:06

004 Pandas Series.mp4

08:23

004 pandas-series.ipynb.zip

005 Coding - Pandas Series.html

006 Pandas DataFrames I. Working with Columns.mp4

10:57

006 pandas-dataframes-I-working-with-columns.ipynb.zip

007 Pandas DataFrames I. Working with Rows.mp4

08:27

007 pandas-dataframes-I-working-with-rows.ipynb.zip

008 Coding - Working with Rows and Columns.html

009 Pandas DataFrames II. Filtering Data.mp4

12:58

009 pandas-dataframes-II-filtering.ipynb.zip

010 Coding - Filtering Data.html

011 Reading and Analyzing CSV Files with Pandas.mp4

21:28

011 countries-of-the-world.csv

011 reading-csv-files-countries-of-the-world.ipynb.zip

012 Coding - Reading and Analyzing CSV Files.html

012 countries-of-the-world.csv

013 Reading Excel Files. GroupBy and Other Useful Operations.mp4

11:13

013 reading-excel-files.ipynb.zip

013 salaries.xlsx

014 Coding - Reading Excel Files and GroupBy.html

014 salaries.xlsx

015 Reading and Analyzing HTML Pages with Pandas.mp4

08:16

015 pandas-reading-html.ipynb.zip

016 Coding - Reading HTML Files.html

017 Working with Missing Data.mp4

06:07

017 pandas-working-with-missing-data.ipynb.zip

018 Coding - Working with Missing Data.html

external-assets-links.txt

29 - Interactive Data Visualization with Plotly

001 Intro to Python Visualization Libraries.mp4

04:18

002 Installing Plotly.html

003 Creating Scatter Plots.mp4

14:39

003 houses.csv

003 scatter-plots.ipynb.zip

004 Coding - Scatter Plots.html

004 houses.csv

005 Creating Line Charts.mp4

11:11

005 gold-monthly-price.csv

005 line-charts.ipynb.zip

006 Coding - Line Charts.html

006 gold-annual-price.csv

007 PROJECT Line Charts for Ethereum and Tesla Stock Price.mp4

01:10

008 PROJECT SOLUTION Line Charts for Ethereum and Tesla Stock Price.mp4

09:58

009 Creating Basic Bar Charts.mp4

10:22

009 basic-bar-charts.ipynb.zip

009 countries-of-the-world.csv

010 Creating Grouped and Stacked Bar Charts.mp4

09:02

010 countries-of-the-world.csv

010 grouped-nested-bar-charts.ipynb.zip

011 Coding - Bar Charts.html

011 countries-of-the-world.csv

012 Creating Pie Charts.mp4

09:55

013 Coding - Pie Charts.html

014 Creating Histograms.mp4

06:36

014 histograms.ipynb.zip

014 monthly-salary.csv

015 Coding - Histograms.html

015 monthly-salary.csv

30 - Requests and Web Scraping with Python

001 Intro to Web Scraping using Requests and BeautifulSoup.mp4

03:40

001 Slides-Web-Scraping.pdf

002 Setup the Environment. Installing Requests and BeautifulSoup.mp4

02:42

003 Diving into Requests HTTP Library.mp4

08:46

003 Slides-HTTP-Status-Codes.pdf

004 Coding - Requests Library.html

005 Diving into BeautifulSoup Library.mp4

10:19

006 Coding - BeautifulSoup Library.html

007 Project Real-World Web Scraping (Requests, BeautifulSoup and OpenPyXL).mp4

10:22

007 scraping2.zip

external-assets-links.txt

31 - Python Multiprocessing and Multithreading In Depth

001 Python Parallel Processing Theory.mp4

04:54

001 Slides-Parallel-Processing-Theory.pdf

002 Multiprocessing vs. Multithreading.mp4

02:06

002 Slides-Multiprocessing-vs-Multithreading.pdf

003 Multithreading and Multiprocessing Pros and Cons.mp4

02:35

003 Slides-Multiprocessing-and-Multithreading-Pros-and-Cons.pdf

004 Implementing Multiprocessing in Python.mp4

09:51

005 Coding - Implementing Multiprocessing.html

006 Implementing Multithreading in Python.mp4

03:40

007 Coding - Implementing Multithreading.html

008 Sharing Data Between Processes using Value.mp4

05:51

009 Coding - Sharing Data Using Value.html

010 Sharing Data Between Processes using Array.mp4

05:49

011 Coding - Sharing Data using Array.html

012 Implementing Multiprocessing Locks.mp4

10:14

013 Coding - Implementing Locks.html

external-assets-links.txt

32 - Building Concurrent Applications Using Async IO

001 Python Concurrency Ecosystem.mp4

04:19

002 Implementing Async IO.mp4

13:42

002 asyncio-implementing.zip

003 Coding - Implementing Async IO.html

004 Building an Asynchronous Web Scraper.mp4

09:57

004 asyncio-aiohttp.zip

005 Coding - Building an Async Web Scraper.html

006 Running Shell Commands (Subprocesses) Asynchronously.mp4

08:07

006 asyncio-subprocess.zip

007 Coding - Running Shell Commands.html

008 AsyncSSH Asynchronous SSH.mp4

10:32

009 AsyncSSH Running Multiple Clients.mp4

09:20

009 asyncio-asyncssh.zip

010 Coding - AsyncSSH (Multiple Clients).html

external-assets-links.txt

33 - [EXTRA] Network Automation with Python

001 Section Introduction.mp4

01:46

002 The Lab Environment.html

003 Download and Install the Required Software GNS3, VirtualBox, Linux,Cisco Images.html

004 Where do I get Cisco IOS Images.html

005 Just a few Words about Windows Installation.mp4

00:39

006 Installing GNS3 on Windows 10.mp4

11:18

006 install-gns3-windows.pdf

007 Running Cisco IOU Images in GNS3 on Windows 10.mp4

11:17

007 run-cisco-iou.pdf

008 Connecting to Cisco IOU Images Running in GNS3 from Window 10.mp4

07:24

008 windows-loopback-interface.pdf

009 Bytes Objects, Encoding and Decoding.mp4

07:03

010 Telnet Protocol Basics. Configure and Connect to Cisco Devices.mp4

05:38

011 Connecting to Cisco Networking Devices with Telnet from Python.mp4

10:28

012 Getpass Module.mp4

04:10

013 Network Automation using Telnet. Configure Multiple Cisco Devices.mp4

08:50

014 Intro to Paramiko.mp4

04:44

015 Bonus Enable SSH on Cisco Devices.mp4

04:49

016 Connecting to Networking Devices using Paramiko.mp4

09:01

017 Using kwargs and Arguments Unpacking.mp4

03:39

018 Running a Command on a Cisco Device using Paramiko(SSH).mp4

07:03

019 Running a Command on Linux using Paramiko(SSH).mp4

05:22

020 Secure Copying Files to Linux with SCP and Paramiko from Python.mp4

09:27

021 Intro to Netmiko.mp4

04:38

022 Connecting and Running a Command on a Cisco Networking Device.mp4

07:49

023 Netmiko prompt. Enable & Global Config Mode.mp4

08:31

024 Running Multiple Commands on a Cisco Networking Device.mp4

10:33

025 Configure a Cisco Networking Device from a File.mp4

04:40

026 Configure Multiple Cisco Networking Devices from Multiple Files.mp4

07:40

027 Configure Backup using Netmiko.mp4

10:37

external-assets-links.txt

34 - Course Completion

001 Congratulations.html

002 BONUS.html

Description

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

What You'll 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.

Who is this for?

Beginners with no previous programming experience.

Programmers switching languages to Python.

Programmers who know Python basics and want to master Python.

This course should not be attended by senior Python developers.

What You Need to Know?

A computer (Windows, Mac, or Linux) with an Internet connection.

Very basic PC Skills such as downloading and installing a program, opening a terminal etc

No prior Python knowledge is required. You will learn everything from scratch!

Your time and enthusiasm to learn.

More details

Description
***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:Â Coding with AI:Â Jupyter AI.
Update: October 2023 - NEW Section: Coding with AI:Â GitHub Copilot.
Update: August 2023 - NEW Section: Creating front-ends for Data Science, Machine Learning and AIÂ 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!

â˜…â˜…â˜…â˜…â˜… "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.
â˜…â˜…â˜…â˜…â˜… "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
â˜…â˜…â˜…â˜…â˜… "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
â˜…â˜…â˜…â˜…â˜… "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.

â˜…â˜…â˜…â˜…â˜… "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
â˜…â˜…â˜…â˜…â˜… "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.

â˜…â˜…â˜…â˜…â˜… "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.**
Who this course is for:
Beginners with no previous programming experience.
Programmers switching languages to Python.
Programmers who know Python basics and want to master Python.
This course should not be attended by senior Python developers.

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Python

Andrei Dumitrescu

Instructor's Courses

I've been a Network and Software Engineer for over 15 years, the typical profile of a DevOps Engineer.I've co-founded Crystal Mind Academy, a Cisco Academy and professional training center in Romania, that focuses on teaching cutting-edge technologies to students.I have contributed to education in the areas of programming, information security, and operating systems. During the last 15 years, more than 200,000 students have participated in in-person or online training programs at Crystal Mind Academy.I have developed documentation, labs, and case studies for many training programs such as Cisco CCNA, CCNA Security, CCNP, Linux Administration, Information Security, Python Programming, Network Automation with Python or Blockchain Programming (Ethereum/Solidity) which have been successfully attended by thousands over the years.When I'm not working, I crossfit, read a good book, enjoy a good time or travel with my wife and children.

Crystal Mind Academy

Instructor's Courses

The Academy’s goal is to teach hundreds of thousands of people cutting-edge technologies in the fields of Programming and Networking.Our philosophy is that courses should be taught by real professionals with substantial experience in the industry, who are also great teachers. Courses are provided by Andrei Dumitrescu, a software engineer with over 15 years experience in the industry and in teaching offline and online course.

Udemy

View courses Udemy

Students take courses primarily to improve job-related skills.Some courses generate credit toward technical certification. Udemy has made a special effort to attract corporate trainers seeking to create coursework for employees of their company.