Master Python Programming in 2025: Zero to Expert in Python
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Course Introduction
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Setup the Programming Environment
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Python BasicsVariables0sNaming Conventions0sComments0sConstants0sCoding Exercise SolutionDynamic vs. Static Typing0sBuilt-in Types0sNumbers and Math Operators0sCoding Exercise SolutionCoding Exercise SolutionAssignment Operators0sComparison Operators0sIdentity Operators. Mutability vs. Immutability0sFloating Point Arithmetic: Issues and Limitations0sSolving the Float Problem. Writing Bugs-Free Code0sPython Basics Cheat Sheet
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Hands-On Challenges: Python Basics
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AI Coding with GitHub Copilot
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Strings in PythonIntro to Strings0sCoding Exercise SolutionGet User Input0sConverting Types0sCoding Exercise SolutionProject: BMI Calculator0sString Indexing0sConcatenating and Repeating Strings0sCoding Exercise SolutionString Slicing0sCoding Exercise SolutionCoding Exercise SolutionFormatting Strings: f-string0sF-strings with = for Debugging0sIntro to String Methods0sUseful String Methods0sString Methods removeprefix() and removesuffix()0sCoding Exercise SolutionPython Strings Cheat Sheet
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Hands-On Challenges: Python Strings
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Program Flow Control in Python
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Python LoopsFor Loops0sDebugging Your Code: Step Through Your Program0sRanges0sCoding Exercise SolutionLoops and Ranges0sProject: Password Generator0sFor, continue and pass Statements0sFor, else and break Statements0sCoding Exercise SolutionWhile Loops0sWhile and continue Statements0sWhile and break Statement0sCoding Exercise SolutionWalrus Operator0sPython Flow Control and Loops Cheat Sheet
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Hands-On Challenges: Flow Control and Loops
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Lists in PythonIntro to Lists0sList Concatenation, Append and Extend0sList Slicing and Iteration0sPython List Gotchas0sCoding Exercise SolutionList Methods Part 1: Append, Extend, Insert, Copy, Clear, Pop, Remove0sList Methods Part 2: Index, Count, Sort, Max, Min and Sum0sString to List and List to String: Split and Join0sProject: Extract IPv4, IPv6 and MAC Addresses0sCoding Exercise SolutionCoding Exercise SolutionList Comprehension – Part 10sList Comprehension – Part 20sProject: Countries With the Longest/Shortest Names0sCoding Exercise SolutionPython Lists Cheat Sheet
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Hands-On Challenges: Lists
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Tuples in Python
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Sets and Frozensets in Python
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Dictionaries in PythonIntro to Dictionaries0sWorking with Dictionaries0sCoding Exercise SolutionCoding Exercise SolutionDictionary Operations and Methods – Part 10sDictionary Operations and Methods – Part 20sCoding Exercise SolutionProject: American Phonetic Alphabet0sDictionary Merge and Update Operators0sDictionary and Set Comprehensions0sCoding Exercise SolutionTypedDict: Type Hints for Dictionaries with a Fixed Set of KeysPython Dictionaries Cheat Sheet
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Hands-On Challenges: Sets and Dictionaries
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Functions in PythonIntro to Functions0sDocstrings0sPositional and Keyword Arguments0sDefault Arguments0sThe return Keyword0sCoding Exercise SolutionPositional-Only Arguments0sVariable-length Arguments: *args0sVariable-length Arguments: **kwargs0sScopes and Namespaces0sOne More Word about Scopes and Namespaces0sCoding Exercise SolutionLambda Expressions0sPython Functions Cheat Sheet
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Hands-On Coding Challenges – Functions
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Working with Text Files in Python
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Hands-On Coding Challenges – Working With Text Files
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Errors and Exception Handling
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Object Oriented Programming: Classes and ObjectsIntro to Object Oriented Programming (OOP)0sOOP Demonstration: The Turtle0sDefining Classes and Objects0sThe __init__ Method0sThe __del__ Method0sCoding Exercise SolutionInstance Attributes and Class Attributes0sMagic Methods0sCoding Exercise SolutionTypedDict: Type Hints for Dictionaries with a Fixed Set of Keys – Part 10sTypedDict: Type Hints for Dictionaries with a Fixed Set of Keys – Part 20sPython OOP Cheat Sheet
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Your First Milestone
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Working with Python Modules
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Working with Virtual Environments (venv)
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Very Useful Python Built-in ModulesSystem-specific Parameters and Functions: The Sys Module0sScript’s Arguments: sys.argv0sCoding – The Sys moduleOperating System Interfaces: The Os Module0sProject: File Renaming Automation Using Sys and Os Module0sCoding – The Os ModuleHigh-level File Operations: The Shutil Module0sCoding – The Shutil ModuleRunning System Commands: The Os Module0sRunning System Commands: The Subprocess Module0sCoding – Running System (shell) CommandsThe Random Module0sCoding – The Random ModuleDecimal Arithmetic and Decimal Module: Solving the Float Problem0sThe Decimal Module: Contexts and Methods0sCoding – The decimal ModuleSending Text Emails With Python (SMTPLIB)0sSending HTML Emails With Python0sAdding Attachments0s
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Decorators in PythonHigh Order Functions0sInner Functions, Closures and Free Variables0sCoding – ClosuresCreating and Using Decorators0sThe @ Syntax0sDecorators with Different Signatures (*args, **kwargs)0sIntrospection: Using @functools.wraps() to Preserve Metadata0sCoding – Decorators TemplateDecorators Application: Speed Test0sApplication Source Code
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Working with CSV Files in Python
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Hands-On Coding Challenges – Working With CSV Files
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Data Serialization and Deserialization in Python (Pickle and JSON)Intro to Data Serialization0sPickle Data Serialization and Deserialization0sCoding – PickleJSON Data Serialization0sJSON Data Deserialization0sCoding – JSONAssignment: JSON and Requests/REST API0sAssignment Answer: JSON and Requests/REST API0sCoding Challenge: Simplify SerializationCoding Challenge Solution: Simplify SerializationCoding Challenge – JSON and Requests/REST APICoding Challenge Solution – JSON and Requests/REST API
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Working with Excel Files in PythonSetup the Environment. Installing OpenPyXL0sExcel Basics0sReading Excel Files0sReading Data in a Cell Range0sCoding – Reading Excel FilesWriting Excel Files0sCoding – Writing Excel FilesCreating New Excel Files0sCoding – Creating New Excel FilesUsing Excel Formulas0sCoding – Excel FormulasSheets Operations0sCoding – Sheets OperationsWorking with Styles0sCoding – Working with Styles
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Hands-On Coding Challenges – Working With Excel Files
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Working with SQL Databases in PythonIntro to SQLite0sWhen to Use SQLite0sConnecting to a SQLite DB and Creating Tables with Python0sCoding – Connecting to an SQLite DB and Creating TablesInserting with Python0sCoding – InsertingSelecting with Python0sCoding – SelectingParameterized Sql Statements0sCoding – Parameterized Sql StatementsUpdating with Python0sCoding – UpdatingDeleting with Python0sCoding – Deleting
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Jupyter AI
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Data Analysis with PandasSetting Up the Environment: Jupyter Notebook0sSetting Up the Environment: Google Colab0sIntro to Pandas. Installing Pandas0sPandas Series0sCoding – Pandas SeriesPandas DataFrames I. Working with Columns0sPandas DataFrames I. Working with Rows0sCoding – Working with Rows and ColumnsPandas DataFrames II. Filtering Data0sCoding – Filtering DataReading and Analyzing CSV Files with Pandas0sCoding – Reading and Analyzing CSV FilesReading Excel Files. GroupBy and Other Useful Operations0sCoding – Reading Excel Files and GroupByReading and Analyzing HTML Pages with Pandas0sCoding – Reading HTML FilesWorking with Missing Data0sCoding – Working with Missing Data
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Creating Web Interfaces (Front-Ends) Using StreamlitIntroduction to Streamlit0sStreamlit Main Concepts0sDisplaying Data on the Screen: st.write() and Magic0sWidgets, Part 1: text_input, number_input, button0sWidgets, Part 2: checkbox, radio, select0sWidgets, Part 3: slider, file_uploader, camera_input, image0sLayout: Sidebar0sLayout: Columns0sLayout: Expander0sDisplaying a Progress Bar0sSession State0sCallbacks0s
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Interactive Data Visualization with PlotlyIntro to Python Visualization Libraries0sInstalling PlotlyCreating Scatter Plots0sCoding – Scatter PlotsCreating Line Charts0sCoding – Line ChartsPROJECT: Line Charts for Ethereum and Tesla Stock Price0sPROJECT SOLUTION: Line Charts for Ethereum and Tesla Stock Price0sCreating Basic Bar Charts0sCreating Grouped and Stacked Bar Charts0sCoding – Bar ChartsCreating Pie Charts0sCoding – Pie ChartsCreating Histograms0sCoding – Histograms
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Requests and Web Scraping with PythonIntro to Web Scraping using Requests and BeautifulSoup0sSetup the Environment. Installing Requests and BeautifulSoup0sDiving into Requests HTTP Library0sCoding – Requests LibraryDiving into BeautifulSoup Library0sCoding – BeautifulSoup LibraryProject: Real-World Web Scraping (Requests, BeautifulSoup and OpenPyXL)0s
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Python Multiprocessing and Multithreading In DepthPython Parallel Processing Theory0sMultiprocessing vs. Multithreading0sMultithreading and Multiprocessing: Pros and Cons0sImplementing Multiprocessing in Python0sCoding – Implementing MultiprocessingImplementing Multithreading in Python0sCoding – Implementing MultithreadingSharing Data Between Processes using Value0sCoding – Sharing Data Using ValueSharing Data Between Processes using Array0sCoding – Sharing Data using ArrayImplementing Multiprocessing Locks0sCoding – Implementing Locks
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Building Concurrent Applications Using Async IOPython Concurrency Ecosystem0sImplementing Async IO0sCoding – Implementing Async IOBuilding an Asynchronous Web Scraper0sCoding – Building an Async Web ScraperRunning Shell Commands (Subprocesses) Asynchronously0sCoding – Running Shell CommandsAsyncSSH: Asynchronous SSH0sAsyncSSH: Running Multiple Clients0sCoding – AsyncSSH (Multiple Clients)
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[EXTRA] Network Automation with PythonSection Introduction0sThe Lab EnvironmentDownload and Install the Required Software: GNS3, VirtualBox, Linux,Cisco ImagesWhere do I get Cisco IOS ImagesJust a few Words about Windows Installation0sInstalling GNS3 on Windows 100sRunning Cisco IOU Images in GNS3 on Windows 100sConnecting to Cisco IOU Images Running in GNS3 from Window 100sBytes Objects, Encoding and Decoding0sTelnet Protocol Basics. Configure and Connect to Cisco Devices0sConnecting to Cisco Networking Devices with Telnet from Python0sGetpass Module0sNetwork Automation using Telnet. Configure Multiple Cisco Devices0sIntro to Paramiko0sBonus: Enable SSH on Cisco Devices0sConnecting to Networking Devices using Paramiko0sUsing **kwargs and Arguments Unpacking0sRunning a Command on a Cisco Device using Paramiko(SSH)0sRunning a Command on Linux using Paramiko(SSH)0sSecure Copying Files to Linux with SCP and Paramiko from Python0sIntro to Netmiko0sConnecting and Running a Command on a Cisco Networking Device0sNetmiko prompt. Enable & Global Config Mode0sRunning Multiple Commands on a Cisco Networking Device0sConfigure a Cisco Networking Device from a File0sConfigure Multiple Cisco Networking Devices from Multiple Files0sConfigure Backup using Netmiko0s
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Where to Go From Here?
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BONUS SECTION
Fully Updated for 2025: Master Python Programming in 2025: Zero to Expert in Python
Master Python programming from scratch and become a professional Python developer!
Why Choose This Course?
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Comprehensive Curriculum: Covers every major Python programming topic, including the latest features in Python 3, GitHub Copilot, Jupyter AI, Object-Oriented Programming, Decorators, working with Excel and databases, web scraping, data science with Pandas, data visualization with Plotly, network automation, multiprocessing, threading, and much more.
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Up-to-Date Content: Regularly updated with new sections and lectures to ensure you learn the most current skills and tools.
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Hands-On Experience: Engage in practical coding exercises, projects, quizzes, and challenges to solidify your understanding.
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Expert Instruction: Taught by a Senior Software Engineer and Professional Trainer with 20 years of experience.
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Exclusive Community Access: Join a closed and exclusive Discord community with tens of thousands of members for support and networking.
Why Learn Python Programming in 2025?
Python is the most in-demand programming language in today’s job market, powering everything from web applications to data science and machine learning, LLMs and AI. Learning Python programming opens doors to careers in LLMs and AI, data science, network automation, and more.
What You’ll Learn
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Python Basics: Variables, data types, and operators.
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Data Structures: In-depth understanding of strings, lists, tuples, sets, and dictionaries.
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Control Flow: Master conditionals and loops with if, while, and for statements.
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Functions and Scope: Learn about functions, lambda expressions, and variable scope.
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Advanced Topics: Dive into decorators, object-oriented programming, modules, and packages.
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File Handling: Work with text files, CSV, and Excel files.
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Error Handling: Manage errors and exceptions effectively.
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Data Science: Perform data analysis with Pandas and visualize data with Plotly.
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Web Scraping: Extract data using Requests and BeautifulSoup.
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Concurrency: Understand multiprocessing, multithreading, and async IO.
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Network Automation: Automate networks with Telnet and SSH using Paramiko and Netmiko.
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AI Coding Tools: Utilize GitHub Copilot and Jupyter AI for smarter coding.
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Front-End Development: Create interfaces for data science, machine learning, and AI apps using Streamlit.
What Students Are Saying
★★★★★ “This is the only course you need to MASTER every key aspect of Python. Don’t look for other Python programming courses because it’s a waste of time.”
— Daniel A.
★★★★★ “An excellent course for anyone who wants to learn Python programming from scratch or just do a refresher. Everything is well explained, and the quizzes and coding exercises are very helpful. Highly recommended!”
— Tomaso
★★★★★ “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.”
— Nara
About the Instructor
Andrei Dumitrescu is a Senior Software Engineer and Professional Trainer with 20 years of experience. He holds numerous certifications and has trained hundreds of thousands of students in programming and networking.
Enroll Now and Start Your Python Programming Journey Today!
Join thousands of successful students and take the first step toward mastering Python programming. Whether you’re a beginner or looking to enhance your skills, this course has everything you need to become a proficient Python developer.
Course Highlights
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Lifetime Access: Learn at your own pace and revisit the material anytime.
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No Prior Experience Required: Perfect for beginners and seasoned programmers alike.
What's included
- 27 hours on-demand video
- 57 coding exercises
- 145 articles
- 80 downloadable resources
- Access on mobile and TV
- Certificate of completion