Python Programming: The Complete Python Bootcamp 2024

Focused View

Andrei Dumitrescu,Crystal Mind Academy

24:24:24

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1. Introduction

1. Why Python Programming Why Now.mp4

01:35

2. How to Get the Most Out of this Course.mp4

03:11

3.1 004 The Complete Python Cheat Sheet.html

3. The Complete Python Cheat Sheet.html

2. Setting up the Developer Environment

1. Python Installation.mp4

02:10

2. Running Python Code in a Cloud IDE.mp4

03:29

3. Installing Python on Windows.mp4

02:49

4.1 004 Installing Python on Linux and macOS.html

4. Installing Python on Linux and macOS.html

5. Installing PyCharm IDE on Windows.mp4

03:22

6.1 006 Installing PyCharm IDE on Linux and macOS.html

6. Installing PyCharm IDE on Linux and macOS.html

7. Running Python Code using the Python Interpreter.mp4

05:52

8. Running Python Scripts Using PyCharm.mp4

05:41

9. Running Python Scripts Using the Command Line.mp4

03:53

10.1 external-links.txt

10. Resources.html

3. Python Basics

1. Variables.mp4

06:01

2. Naming Conventions.mp4

05:52

3. Comments.mp4

04:08

4. Constants.mp4

02:04

5.1 005 Coding Exercise Solution.html

5. Coding Exercise Solution.html

6. Dynamic vs. Static Typing.mp4

04:25

7. Built-in Types.mp4

04:17

8. Numbers and Math Operators.mp4

08:32

9.1 009 Coding Exercise Solution.html

9. Coding Exercise Solution.html

10.1 010 Coding Exercise Solution.html

10. Coding Exercise Solution.html

11. Assignment Operators.mp4

09:02

12. Comparison Operators.mp4

03:43

13. Identity Operators. Mutability vs. Immutability.mp4

05:34

14. Floating Point Arithmetic Issue and Limitations.mp4

06:35

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

06:54

16.1 016 Python Basics Cheat Sheet.html

16. Python Basics Cheat Sheet.html

4. Hands- On Challenges Python Basics

1.1 001 Challenges - Python Basics.html

1. Challenges - Python Basics.html

5. Strings in Python

1. Introduction to Strings.mp4

10:01

2.1 002 Coding Exercise Solution.html

2. Coding Exercise Solution.html

3. Get User Input.mp4

04:58

4. Converting Types.mp4

08:58

5.1 005 Coding Exercise Solution.html

5. Coding Exercise Solution.html

6. Project BMI Calculator.mp4

04:22

7. String Indexing.mp4

05:37

8. Concatenating and Repeating Strings.mp4

04:39

9.1 009 Coding Exercise Solution.html

9. Coding Exercise Solution.html

10. String Slicing.mp4

06:12

11.1 011 Coding Exercise Solution.html

11. Coding Exercise Solution.html

12.1 012 Coding Exercise Solution.html

12. Coding Exercise Solution.html

13. Formatting Strings f-string.mp4

07:48

14. Intro to String Methods.mp4

06:34

15. Useful String Methods.mp4

12:52

16.1 016 Coding Exercise Solution.html

16. Coding Exercise Solution.html

17.1 017 Python Strings Cheat Sheet.html

17. Python Strings Cheat Sheet.html

6. Hands-On Challenges Python Strings

1.1 001 Challenges - Python Strings.html

1. Challenges - Python Strings.html

7. Program Flow Control In Python

1. Conditional Statements.mp4

06:37

2. Indentation.mp4

06:03

3. Nested ifelifelse Statements.mp4

08:33

4. Boolean Variables.mp4

08:32

5. Logical (Boolean) Operators AND and OR.mp4

06:14

6. Logical (Boolean) Operators NOT.mp4

05:08

7.1 007 Coding Exercise Solution.html

7. Coding Exercise Solution.html

8. Python Loops

1. For Loops.mp4

07:45

2. Debugging Your Code Step Through Your Program.mp4

06:52

3. Ranges.mp4

06:20

4.1 004 Coding Exercise Solution.html

4. Coding Exercise Solution.html

5. Loops and Ranges.mp4

06:04

6. Project Password Generator.mp4

06:54

7. For, continue and pass Statements.mp4

04:18

8. For, else and break Statements.mp4

07:45

9.1 009 Coding Exercise Solution.html

9. Coding Exercise Solution.html

10. While Loops.mp4

05:49

11. While and continue Statements.mp4

04:05

12. While and break Statement.mp4

05:35

13.1 013 Coding Exercise Solution.html

13. Coding Exercise Solution.html

14. Walrus Operator.mp4

07:47

15.1 015 Python Flow Control and Loops Cheat Sheet.html

15. Python Flow Control and Loops Cheat Sheet.html

9. Hands - On Challenges Flow Control and Loops

1.1 001 Challenges Flow Control and Loops.html

1. Challenges Flow Control and Loops.html

10. Lists in Python

1. Intro to Lists.mp4

07:54

2. Lists in Concatenation, Append and Extend.mp4

04:33

3. List Slicing and Iteration.mp4

07:14

4. Python List Gotchas.mp4

08:01

5.1 005 Coding Exercise Solution.html

5. Coding Exercise Solution.html

6. Lists Methods Part 1 Append, Extend, Insert, Copy, Clear, Pop, Remove.mp4

10:03

7. Lists Methods Part 2 Index, Count, Sort, Max, Min and Sum.mp4

09:41

8. String to List and List to String Split and Join.mp4

03:31

9. Project Extract IPv4, IPv6 and MAC Addresses.mp4

07:16

10.1 010 Coding Exercise Solution.html

10. Coding Exercise Solution.html

11.1 011 Coding Exercise Solution.html

11. Coding Exercise Solution.html

12. List Comprehension - Part 1.mp4

06:02

13. List Comprehension - Part 2.mp4

06:26

14. Project Countries With the LongestShortest Names.mp4

05:49

15.1 015 Coding Exercise Solution.html

15. Coding Exercise Solution.html

16.1 016 Python Lists Cheat Sheet.html

16. Python Lists Cheat Sheet.html

11. Hands-On Challenges Lists

1.1 001 Challenges Lists.html

1. Challenges Lists.html

12. Tuples in Python

1. Intro to Tuples.mp4

05:08

2. Tuple Operations.mp4

04:03

3. Tuple Methods.mp4

05:16

4. Tuples vs. Lists.mp4

05:47

5.1 005 Coding Exercise Solution.html

5. Coding Exercise Solution.html

6.1 006 Python Tuples Cheat Sheet.html

6. Python Tuples Cheat Sheet.html

13. Sets and Frozensets in Python

1. Intro to Sets.mp4

10:00

2.1 002 Coding Exercise Solution.html

2. Coding Exercise Solution.html

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

07:13

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

08:20

5.1 005 Coding Exercise Solution.html

5. Coding Exercise Solution.html

6. Set Time Complexity and Big-O Notation.mp4

08:08

7. Fronzensets.mp4

05:13

8.1 008 Python Sets Cheat Sheet.html

8. Python Sets Cheat Sheet.html

14. Dictionaries in Python

1. Intro to Dictionaries.mp4

04:11

2. Working with Dictionaries.mp4

10:27

3.1 003 Coding Exercise Solution.html

3. Coding Exercise Solution.html

4.1 004 Coding Exercise Solution.html

4. Coding Exercise Solution.html

5. Dictionary Operations and Methods - Part 1.mp4

03:53

6. Dictionary Operations and Methods - Part 2.mp4

09:53

7.1 007 Coding Exercise Solution.html

7. Coding Exercise Solution.html

8. Project American Phonetic Alphabet.mp4

09:02

9. Dictionary and Set Comprehensions.mp4

09:03

10.1 010 Coding Exercise Solution.html

10. Coding Exercise Solution.html

11.1 011 Python Dictionaries Cheat Sheet.html

11. Python Dictionaries Cheat Sheet.html

15. Hands-On Challenges Sets and Dictionaries

1.1 001 Challenges Sets and Dictionaries.html

1. Challenges Sets and Dictionaries.html

16. Functions in Python

1. Intro to Functions.mp4

04:32

2. Docstrings.mp4

05:47

3. Positional and Keyword Arguments.mp4

09:14

4. Default Arguments.mp4

05:35

5. The return Keyword.mp4

08:15

6.1 006 Coding Exercise Solution.html

6. Coding Exercise Solution.html

7. Variable-length Arguments args.mp4

05:26

8. Variable-length Arguments kwargs.mp4

04:51

9. Scopes and Namespaces.mp4

12:23

10. One More Word about Scopes and Namespaces.mp4

03:43

11.1 011 Coding Exercise Solution.html

11. Coding Exercise Solution.html

12. Lambda Expressions.mp4

08:41

13.1 013 Python Functions Cheat Sheet.html

13. Python Functions Cheat Sheet.html

17. Hands-On Coding Challenges - Functions

1.1 001 Challenges - Functions.html

1. Challenges - Functions.html

18. Working with Text Files in Python

1. Opening and Reading Files.mp4

05:29

2. Absolute and Relative Paths.mp4

11:01

3. Reading Files Tell, Seek and Cursors.mp4

06:36

4. The with Statement.mp4

03:28

5. Reading Files into a List.mp4

05:53

6.1 006 Coding Exercise Solution.html

6. Coding Exercise Solution.html

7. Writing to Text Files.mp4

07:08

8. Project File Processing.mp4

06:21

9.1 009 Python Working with Files Cheat Sheet.html

9. Python Working with Files Cheat Sheet.html

19. Hands-On Coding Challenges - Working With Text Files

1.1 001 Hands-On Challenges - Working With Text Files.html

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

20. Errors and Exception Handling

1. Intro to Exceptions.mp4

05:44

2. Exceptions Handling Try...Except...Else...Finally.mp4

09:51

3. Built-in Exceptions and Best Practices.mp4

09:37

4. Project Test Network Connections.mp4

09:08

5.1 005 Python Exceptions Cheat Sheet.html

5. Python Exceptions Cheat Sheet.html

21. Object Oriented Programming Classes and Objects

1. Intro to Object Oriented Programming (OOP).mp4

05:45

2. OOP Demonstration The Turtle.mp4

12:48

3. Defining Classes and Objects.mp4

03:30

4. The init Method.mp4

07:45

5. The del Method.mp4

02:19

6.1 006 Coding Exercise Solution.html

6. Coding Exercise Solution.html

7. Instance Attributes and Class Attributes.mp4

06:06

8. Magic Methods.mp4

09:09

9.1 009 Coding Exercise Solution.html

9. Coding Exercise Solution.html

10.1 010 Python OOP Cheat Sheet.html

10. Python OOP Cheat Sheet.html

22. Your First Milestone

1. Important Milestone.mp4

03:07

2.1 002 Python Cheat Sheet.html

2. Python Cheat Sheet.html

23. MASSIVE SECTION OF CODING CHALLENGE EXERCISES

1.1 001 Section Introduction.html

1. Section Introduction.html

2.1 002 Coding Exercise Solution.html

2. Coding Exercise Solution.html

3.1 003 Coding Exercise Solution.html

3. Coding Exercise Solution.html

4.1 004 Coding Exercise Solution.html

4. Coding Exercise Solution.html

5.1 005 Coding Exercise Solution.html

5. Coding Exercise Solution.html

6.1 006 Coding Exercise Solution.html

6. Coding Exercise Solution.html

7.1 007 Coding Exercise Solution.html

7. Coding Exercise Solution.html

8.1 008 Coding Exercise Solution.html

8. Coding Exercise Solution.html

9.1 009 Coding Exercise Solution.html

9. Coding Exercise Solution.html

10.1 010 Coding Exercise Solution.html

10. Coding Exercise Solution.html

11.1 011 Coding Exercise Solution.html

11. Coding Exercise Solution.html

12.1 012 Coding Exercise Solution.html

12. Coding Exercise Solution.html

13.1 013 Coding Exercise Solution.html

13. Coding Exercise Solution.html

14.1 014 Coding Exercise Solution.html

14. Coding Exercise Solution.html

15.1 015 Coding Exercise Solution.html

15. Coding Exercise Solution.html

16.1 016 Coding Exercise Solution.html

16. Coding Exercise Solution.html

17.1 017 Coding Exercise Solution.html

17. Coding Exercise Solution.html

18.1 018 Coding Exercise Solution.html

18. Coding Exercise Solution.html

19.1 019 Coding Exercise Solution.html

19. Coding Exercise Solution.html

20.1 020 Coding Exercise Solution.html

20. Coding Exercise Solution.html

21.1 021 Coding Exercise Solution.html

21. Coding Exercise Solution.html

22.1 022 Coding Exercise Solution.html

22. Coding Exercise Solution.html

23.1 023 Coding Exercise Solution.html

23. Coding Exercise Solution.html

24.1 024 Coding Exercise Solution.html

24. Coding Exercise Solution.html

25.1 025 Coding Exercise Solution.html

25. Coding Exercise Solution.html

26.1 026 Coding Exercise Solution.html

26. Coding Exercise Solution.html

27.1 027 Coding Exercise Solution.html

27. Coding Exercise Solution.html

28.1 028 Coding Exercise Solution.html

28. Coding Exercise Solution.html

24. Working with Python Modules

1. Intro to Python Modules.mp4

06:40

2. Importing Modules.mp4

06:00

3. Custom Modules. name and main.mp4

10:30

4.1 004 Coding - Importing Python Modules.html

4. Coding - Importing Python Modules.html

5.1 005 Coding Exercise Solution.html

5. Coding Exercise Solution.html

6. Manage External Modules with Pip.mp4

11:00

25. Very Useful Python Built-in Modules

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

07:18

2. Scripts Arguments sys.argv.mp4

08:18

3.1 003 Coding - The Sys module.html

3. Coding - The Sys module.html

4. Operating System Interfaces The Os Module.mp4

06:04

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

04:44

6.1 006 Coding - The Os Module.html

6. Coding - The Os Module.html

7. High-level File Operations The Shutil Module.mp4

07:42

8.1 008 Coding - The Shutil Module.html

8. Coding - The Shutil Module.html

9. Running System Commands The Os Module.mp4

03:41

10. Running System Commands The Subprocess Module.mp4

05:03

11.1 011 Coding - Running System (shell) Commands.html

11. Coding - Running System (shell) Commands.html

12. The Random Module.mp4

07:07

13.1 013 Coding - The Random Module.html

13. Coding - The Random Module.html

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

08:24

15. The Decimal Module Contexts and Methods.mp4

08:25

16.1 016 Coding - The decimal Module.html

16. Coding - The decimal Module.html

17. Sending Text Emails With Python (SMTPLIB).mp4

09:02

18. Sending HTML Emails With Python.mp4

02:05

19. Adding Attachments.mp4

05:18

26. Decorators in Python

1. High Order Functions.mp4

06:57

2. Inner Functions, Closures and Free Variables.mp4

07:07

3.1 003 Coding - Closures.html

3. Coding - Closures.html

4. Creating and Using Decorators.mp4

08:53

5. The @ Syntax.mp4

09:16

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

04:10

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

04:22

8.1 008 Coding - Decorators Template.html

8. Coding - Decorators Template.html

9. Decorators Application Speed Test.mp4

09:43

10.1 010 Application Source Code.html

10. Application Source Code.html

27. Working with CSV Files in Python

1. Intro to CSV.mp4

01:59

2. Reading CSV Files.mp4

07:04

3.1 003 Coding - Reading CSV Files.html

3. Coding - Reading CSV Files.html

4. Writing CSV Files.mp4

05:53

5.1 005 Coding - Writing CSV Files.html

5. Coding - Writing CSV Files.html

6. Using Custom Delimiters.mp4

02:45

7. Using CSV Dialects.mp4

04:51

8.1 008 Coding - Custom CSV Files and Dialects.html

8. Coding - Custom CSV Files and Dialects.html

28. Hands-On Coding Challenges - Working With CSV Files

1.1 001 Hands-On Challenges - Working With CSV Files.html

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

29. Data Serialization and Deserialization in Python Pickle and JSON

1. Intro to Data Serialization.mp4

03:29

2. Pickle Data Serialization and Deserialization.mp4

06:21

3.1 003 Coding - Pickle.html

3. Coding - Pickle.html

4. JSON Data Serialization.mp4

06:29

5. JSON Data Deserialization.mp4

05:36

6.1 006 Coding - JSON.html

6. Coding - JSON.html

7. Assignment JSON and RequestsREST API.mp4

01:46

8. Assignment Answer JSON and RequestsREST API.mp4

03:54

9.1 009 Coding Challenge Simplify Serialization.html

9. Coding Challenge Simplify Serialization.html

10.1 010 Coding Challenge Solution Simplify Serialization.html

10. Coding Challenge Solution Simplify Serialization.html

11.1 011 Coding Challenge - JSON and RequestsREST API.html

11. Coding Challenge - JSON and RequestsREST API.html

12.1 012 Coding Challenge Solution - JSON and RequestsREST API.html

12. Coding Challenge Solution - JSON and RequestsREST API.html

30. Working with Excel Files in Python

1. Setup the Environment. Installing OpenPyXL.mp4

04:22

2. Excel Basics.mp4

02:29

3. Reading Excel Files.mp4

08:43

4. Reading Data in a Cell Range.mp4

06:19

5.1 005 Coding - Reading Excel Files.html

5. Coding - Reading Excel Files.html

6. Writing Excel Files.mp4

04:48

7.1 007 Coding - Writing Excel Files.html

7. Coding - Writing Excel Files.html

8. Creating New Excel Files.mp4

02:54

9.1 009 Coding - Creating New Excel Files.html

9. Coding - Creating New Excel Files.html

10. Using Excel Formulas.mp4

04:23

11.1 011 Coding - Excel Formulas.html

11. Coding - Excel Formulas.html

12. Sheets Operations.mp4

06:18

13.1 013 Coding - Sheets Operations.html

13. Coding - Sheets Operations.html

14. Working with Styles.mp4

10:26

15.1 015 Coding - Working with Styles.html

15. Coding - Working with Styles.html

31. Hands-On Coding Challenges - Working With Excel Files

1.1 001 Hands-On Challenges - Working With Excel Files.html

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

32. Working with SQL Databases in Python

1. Intro to SQLite.mp4

05:50

2. When to Use SQLite.mp4

03:25

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

08:35

4.1 004 Coding - Connecting to an SQLite DB and Creating Tables.html

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

5. Inserting with Python.mp4

08:28

6.1 006 Coding - Inserting.html

6. Coding - Inserting.html

7. Selecting with Python.mp4

06:24

8.1 008 Coding - Selecting.html

8. Coding - Selecting.html

9. Parameterized Sql Statements.mp4

05:13

10.1 010 Coding - Parameterized Sql Statements.html

10. Coding - Parameterized Sql Statements.html

11. Updating with Python.mp4

05:00

12.1 012 Coding - Updating.html

12. Coding - Updating.html

13. Deleting with Python.mp4

03:37

14.1 014 Coding - Deleting.html

14. Coding - Deleting.html

33. Data Analysis with Pandas

1. Intro to Jupyter Notebook. Installing Jupyter Notebook.mp4

05:36

2. How to use Jupyter Notebook.mp4

08:51

3. Intro to Pandas. Installing Pandas.mp4

03:06

4. Pandas Series.mp4

08:23

5.1 005 Coding - Pandas Series.html

5. Coding - Pandas Series.html

6. Pandas DataFrames I. Working with Columns.mp4

10:57

7. Pandas DataFrames I. Working with Rows.mp4

08:27

8.1 008 Coding - Working with Rows and Columns.html

8. Coding - Working with Rows and Columns.html

9. Pandas DataFrames II. Filtering Data.mp4

12:58

10.1 010 Coding - Filtering Data.html

10. Coding - Filtering Data.html

11. Reading and Analyzing CSV Files with Pandas.mp4

21:28

12.1 012 Coding - Reading and Analyzing CSV Files.html

12. Coding - Reading and Analyzing CSV Files.html

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

11:13

14.1 014 Coding - Reading Excel Files and GroupBy.html

14. Coding - Reading Excel Files and GroupBy.html

15. Reading and Analyzing HTML Pages with Pandas.mp4

08:16

16.1 016 Coding - Reading HTML Files.html

16. Coding - Reading HTML Files.html

17. Working with Missing Data.mp4

06:07

18.1 018 Coding - Working with Missing Data.html

18. Coding - Working with Missing Data.html

34. Interactive Data Visualization with Plotly

1. Intro to Python Visualization Libraries.mp4

04:18

2.1 002 Installing Plotly.html

2. Installing Plotly.html

3. Creating Scatter Plots.mp4

14:39

4.1 004 Coding - Scatter Plots.html

4. Coding - Scatter Plots.html

5. Creating Line Charts.mp4

11:11

6.1 006 Coding - Line Charts.html

6. Coding - Line Charts.html

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

01:10

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

09:57

9. Creating Basic Bar Charts.mp4

10:22

10. Creating Grouped and Stacked Bar Charts.mp4

09:02

11.1 011 Coding - Bar Charts.html

11. Coding - Bar Charts.html

12. Creating Pie Charts.mp4

09:55

13.1 013 Coding - Pie Charts.html

13. Coding - Pie Charts.html

14. Creating Histograms.mp4

06:36

15.1 015 Coding - Histograms.html

15. Coding - Histograms.html

35. Requests and Web Scraping with Python

1. Intro to Web Scraping using Requests and BeautifulSoup.mp4

03:40

2. Setup the Environment. Installing Requests and BeautifulSoup.mp4

02:42

3. Diving into Requests HTTP Library.mp4

08:46

4.1 004 Coding - Requests Library.html

4. Coding - Requests Library.html

5. Diving into BeautifulSoup Library.mp4

10:19

6.1 006 Coding - BeautifulSoup Library.html

6. Coding - BeautifulSoup Library.html

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

10:22

36. Python Multiprocessing and Multithreading In Depth

1. Python Parallel Processing Theory.mp4

04:54

2. Multiprocessing vs. Multithreading.mp4

02:06

3. Multithreading and Multiprocessing Pros and Cons.mp4

02:35

4. Implementing Multiprocessing in Python.mp4

09:51

5.1 005 Coding - Implementing Multiprocessing.html

5. Coding - Implementing Multiprocessing.html

6. Implementing Multithreading in Python.mp4

03:40

7.1 007 Coding - Implementing Multithreading.html

7. Coding - Implementing Multithreading.html

8. Sharing Data Between Processes using Value.mp4

05:51

9.1 009 Coding - Sharing Data Using Value.html

9. Coding - Sharing Data Using Value.html

10. Sharing Data Between Processes using Array.mp4

05:49

11.1 011 Coding - Sharing Data using Array.html

11. Coding - Sharing Data using Array.html

12. Implementing Multiprocessing Locks.mp4

10:14

13.1 013 Coding - Implementing Locks.html

13. Coding - Implementing Locks.html

37. Building Concurrent Applications Using Async IO

1. Python Concurrency Ecosystem.mp4

04:19

2. Implementing Async IO.mp4

13:42

3.1 003 Coding - Implementing Async IO.html

3. Coding - Implementing Async IO.html

4. Building an Asynchronous Web Scraper.mp4

09:57

5.1 005 Coding - Building an Async Web Scraper.html

5. Coding - Building an Async Web Scraper.html

6. Running Shell Commands (Subprocesses) Asynchronously.mp4

08:07

7.1 007 Coding - Running Shell Commands.html

7. Coding - Running Shell Commands.html

8. AsyncSSH Asynchronous SSH.mp4

10:32

9. AsyncSSH Running Multiple Clients.mp4

09:20

10.1 010 Coding - AsyncSSH (Multiple Clients).html

10. Coding - AsyncSSH (Multiple Clients).html

38. [EXTRA] Network Automation with Python

1. Section Introduction.mp4

01:46

2.1 002 The Lab Environment.html

2. The Lab Environment.html

3.1 003 Download and Install the Required Software GNS3, VirtualBox, Linux,Cisco Images.html

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

4.1 004 Where do I get Cisco IOS Images.html

4. Where do I get Cisco IOS Images.html

5. Just a few Words about Windows Installation.mp4

00:39

6. Installing GNS3 on Windows 10.mp4

11:18

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

11:17

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

07:24

9. Bytes Objects, Encoding and Decoding.mp4

07:03

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

05:38

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

10:28

12. Getpass Module.mp4

04:10

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

08:50

14. Intro to Paramiko.mp4

04:44

15. Enable SSH on Cisco Devices.mp4

04:49

16. Connecting to Networking Devices using Paramiko.mp4

09:01

17. Using kwargs and Arguments Unpacking.mp4

03:39

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

07:03

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

05:22

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

09:27

21. Intro to Netmiko.mp4

04:38

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

07:49

23. Netmiko prompt. Enable & Global Config Mode.mp4

08:31

24. Running Multiple Commands on a Cisco Networking Device.mp4

10:33

25. Configure a Cisco Networking Device from a File.mp4

04:40

26. Configure Multiple Cisco Networking Devices from Multiple Files.mp4

07:40

27. Configure Backup using Netmiko.mp4

10:37

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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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.