Python Complete Masterclass for Beginners
What you’ll learn
You will GAIN CONFIDENCE when asking your manager for a RAISE or going to any Junior or Intermediate Python Developer INTERVIEW.
You will ultimately GAIN REAL-LIFE SKILLS: Excel Automation, Database Automation, Data Analysis etc. No silly little games, no useless apps, no filler content!
You will MASTER all the Python 3 key concepts starting FROM SCRATCH. No prior Python knowledge is required.
You will get FREE NEW VIDEO LECTURES and RESOURCES regularly and learn the latest Python 3 concepts and use cases.
You will have MY FULL SUPPORT for every course-related question or suggestion, plus the help of the community.
You will have LIFETIME ACCESS TO COURSE UPDATES and new content, anytime, anywhere, on any device.
You will be able to apply for and get involved in most Python 3 PROJECTS.
You will be able to work with the Python interpreter and Python scripts.
You will be able to work with Python strings and string methods.
You will be able to work with Python lists, list methods and ranges.
You will be able to work with Python sets, set methods and frozensets.
You will be able to work with Python tuples and tuple methods.
You will be able to work with Python dictionaries and dictionary methods.
You will be able to work with Python control flow structures (if, for, while, break, continue, pass, exceptions, try-except-else-finally blocks).
You will learn everything about properly handling syntax errors and exceptions in Python 3.
You will be able to work with Python functions, namespaces and modules.
You will be able to work with Python file operations: create, read, write, append, truncate, close.
You will be able to work with Python patterns and regular expressions.
You will be able to work with Python classes, objects and inheritance.
You will be able to work with advanced Python tools (comprehensions, lambda functions, threading basics, iterators, generators, decorators).
You will be able to apply the Python 3 knowledge you get from this course in quizzes, coding exercises and real-life scenarios.
You will build a scientific, interactive calculator with a user menu and advanced math operations available.
You will be able to work with Microsoft Excel files and automate boring spreadsheet-related tasks using Python 3.
You will be able to work with PostgreSQL databases and automate boring database-related tasks using Python 3.
You will be able to work with network devices (switches/routers) and automate networking tasks using SSH.
You will be able to work with Pandas to perform data analysis operations on TXT, CSV, JSON, XLSX, HTML files and SQL databases.
You will be able to work with Bokeh to perform data visualization and generate line / bar / pie / range / stocks / candlesticks charts.
You will be able to work with Pytest to perform unit test automation, also learning advanced concepts like fixture functions or markers.
You will be able work with Requests, Pandas and BeautifulSoup to get, load and parse webpage content, perform web scraping tasks and build an Excel database.
You will learn all the basics of OOP, including classes, instances, constructors, attributes.
You will learn the core concept of inheritance, including multi-level and multiple inheritance.
You will learn to properly achieve polymorphism and how to use the method overriding concept.
You will dive into advanced concepts, like overloading, magic methods, abstract classes/methods.
You are going to build the necessary environment for using Django and developing web projects.
You are going to create and configure your first Django project – a blog application.
You are going to learn necessary concepts such as URLs, views, templates, forms, models.
You are going to access the admin section provided by Django and create a user to login into it.
You are going to learn to create simple tests and run them from the command line.
You are going to learn how to push the code to git (Gitlab), a version control system.
You are going to build the necessary environment for using Django Rest Framework and developing a REST API.
You are going to learn and practice concepts such as pre-commit hooks, TDD, GitHub actions and running tests.
You are going to learn and practice concepts such as models, APIView, serializers, generic views and filters.
You are going to learn how to implement permissions and authentication with permission classes and API keys.
You are going to learn to create simple tests and run them from the command line.
You are going to learn how to push the code to a remote repository, on GitHub.
You are going to build the necessary environment for using Django, Graphene and developing a GraphQL API.
You are going to build a simple social media GraphQL API using Python 3, Django 3 and Graphene.
You are going to learn the benefits of a GraphQL API versus a RESTful API.
You are going to learn how to integrate GraphQL inside the Django ecosystem.
You will get a Python 3 CHEAT SHEET filled with key concepts and examples.
You will get a Python 3 200+ PAGES E-BOOK for free, to keep learning offline.
You will learn 10 ways to earn money and build a portfolio with your Python skills.
You will get over 250 practice activities to solidify your knowledge – quizzes and exercises.
No prior Python knowledge is required. You will learn everything from scratch!
You just need a laptop or PC and a decent Internet connection.
Preferably, you should have a Windows OS to work on, to be fully synchronized with the course content.
✔ Probably the most PRACTICAL Python 3 course on Udemy✔ I am answering all your questions, usually in less than 24 hours✔ No slides, no boring theory, no rambling, no chitchat. Just coding✔ Notebooks, code samples and 250+ practice items – quizzes & exercises included✔ Downloadable Python 3 cheat sheet and 200+ pages PDF e-book are included✔ Learn real-life skills: Excel / Database / Data Analysis / Network Automation & more✔ Private Discord community for instructor support and learning as a team✔ Udemy Bestselling Instructor with thousands of ⭐⭐⭐⭐⭐ reviews✔ Over 100.000 satisfied students across several e-learning platforms✔ Certificate of Completion is includedNote! This is the flagship course in a course trilogy which also includes my “Python – 250 Python Exercises” and “Python – 250 Python Quizzes” courses for a complete and comprehensive learning experience.”This Python course is excellent!! I have taken a few Python courses previously from Udemy, this course is the best so far. The lectures are kept short but contain a lot of info on the topic. I really like the short quizzes to make sure you listened to the important points made in the lectures. The best feature is the interactive coding to give you immediate hands-on with the material to ensure you understood what you thought you understood. Great Course!” by Richard Mata✔ What others have to say about my courses?”What an incredible value and learning experience!” by Sean A.”Excellent material. Kudos to a great instructor with a vast level of creativity.” by Anthony W.”The instructor is an excellent professional, skillful and engaging.” by Georgios T.”I can say this man is going on smoothly and perfectly, explaining in the most empirical way.” by Kolapo A.✔ Why would you take this course?Do you want to become a Python Developer without having to spend a lot of money on books and boring theoretical courses?Do you often hear things like “You should learn Python!” or “Just write a Python script for that!” or even “Python is so easy to learn!”? Python here, Python there, Python everywhere?Are you looking to apply your Python knowledge to specialize yourself in various areas of expertise, such as Databases, Web Development, Network Automation, Data Analysis and Visualization, Unit Testing etc.?”As a Python beginner, I find this course is concise, easy to understand and structured. Also, Mihai responses to my question during the course promptly. I highly recommend this training course.” by Johnny Wang✔ What’s this course all about?Python 3 programming course aimed at anyone having little or no experience in coding and a great desire to start learning Python from scratch. This hands-on training takes you from “Hello World!” to advanced Python topics in just a few hours.First, you will learn and practice every Python 3 key concept, which is explained in one or more video lectures, usually followed by a short quiz and several coding exercises. Each video is filled with relevant examples, created in a learn-by-doing fashion and the notebooks, quizzes and coding exercises will help you consolidate the main ideas behind each Python 3 topic. After laying the foundation, you will start exploring some advanced Python 3 topics, thus quickly growing your skills from Zero to Beginner to Intermediate to Advanced to Superhero level.Next, we will build a scientific calculator in Python 3, having a basic user menu and both simple and advanced math operations available: addition, subtraction, multiplication, division, modulo, raising to a power, square root, logarithm, as well as trigonometric functions like sin, cos and tan.Finally, you will gain some real-life skills that you can use at most programming and IT-related jobs: Excel Automation, Database Automation, Data Analysis Automation, Test Automation, Web Scraping, Web App Development and Network Automation, among others, using Python 3.You will also be able to download printable cheat sheets to have every Python 3 concept at hand whenever you need it, as well as a 200+ pages Python 3 e-book that can help you continue studying whenever you don’t feel like watching videos or solving coding exercises. What more can you ask for?”I am really enjoying this course thus far. 10-12 minutes into the course and I’ve already written my first line of Python code, which I think it’s pretty cool, since I’ve never programmed before. I’m planning to finish this course and apply for a junior programmer, part-time job. Thanks for this training!” by Andrei Vasilescu✔ What are the steps you’re going to take from Zero to Superhero Level skills in Python?Introduction – What’s This Course All About?Zero Level: Python 3 – BasicsBeginner Level: Python 3 – StringsBeginner Level: Python 3 – Numbers and BooleansBeginner Level: Python 3 – ListsBeginner Level: Python 3 – SetsBeginner Level: Python 3 – TuplesBeginner Level: Python 3 – RangesBeginner Level: Python 3 – DictionariesIntermediate Level: Python 3 – Conditionals, Loops and ExceptionsIntermediate Level: Python 3 – Handling Errors and Exceptions in PythonIntermediate Level: Python 3 – Functions and ModulesIntermediate Level: Python 3 – File OperationsAdvanced Level: Python 3 – Regular ExpressionsAdvanced Level: Python 3 – Classes and ObjectsAdvanced Level: Python 3 – Other Advanced ConceptsGeneral Recap: Python 3 – Cheat Sheet and 200+ Pages E-BookProject: Python 3 – Build a Scientific Calculator with Python 3Superhero Level: Automate Excel Tasks with Python 3Superhero Level: Automate Database Tasks with Python 3Superhero Level: Automate Network Tasks with Python 3Superhero Level: Automate Data Analysis Tasks with Python 3Superhero Level: Data Visualization with Bokeh and Python 3Superhero Level: Automate Unit Testing with Python 3Superhero Level: Automate Web Scraping with Python 3Superhero Level: Diving into Object-Oriented Programming [2021 Update]Superhero Level: Build Your First Web Project with Django & Python [2021 Update]Superhero Level: Build an Expense Tracker REST API From Scratch [2021 Update]Superhero Level: Build a GraphQL API with Django and Graphene [2021 Update]Superhero Level: Advanced RegEx – Extension Notations and Assertions [2021 Update][BONUS] Useful Python Modules and Tools[BONUS] 10 Ways to Earn Money and Build a Portfolio with Your Python Skills Final Section”Very thorough course. Includes plenty of details and examples without being boring. Explanations are given at a very practical level.” by Gary Scarr⚠ Important information before you enroll!Don’t forget you are covered by a 30-day money back guarantee, full refund, no questions asked.Once enrolled, you have unlimited, 24/7, lifetime access to the course.You will have instant and free access to any updates I’ll add to the course. You will benefit from my full support regarding any question you might have and your course colleagues will help you, as well.Check out the promo video at the top of this page and some of the free preview videos before making any decision!”This is a real nice course and very unique compared to other courses available on Udemy. The unique thing about this is automation projects. The best way to learn language and concepts is by applying them to practical scenarios and that is what this course is all about.” by Vinay Gupta✔ I strongly encourage you to learn Python, an amazingly beginner-friendly programming language and take your job and career to the next level!✔ Let’s get started! Enroll now and I’ll see you in the first lecture!
Section 1: Introduction – What’s This Course All About?
Lecture 1 Welcome! Glad to have you on board!
Lecture 2 What Will You Learn? What Benefits You Get From Taking This Course?
Lecture 3 Just starting out in programming? Read this!
Lecture 4 Get a Complete Learning Experience!
Lecture 5 Quick Introductory Note
Lecture 6 Watching the Course at the Best Resolution Possible
Lecture 7 How to Ask Good Questions on Udemy
Lecture 8 Join the PRIVATE DISCORD COMMUNITY!
Lecture 9 Course FAQ
Section 2: ZERO LEVEL: Python 3 – Basics
Lecture 10 How to Install Python 3 on Windows
Lecture 11 How to Install Python 3 on macOS
Lecture 12 UPDATE! Python Versions
Lecture 13 The Python Interpreter & IDLE in Windows
Lecture 14 The Python Interpreter & IDLE in macOS
Lecture 15 Python 3 Basics – Scripts in Windows
Lecture 16 UPDATE! Saving a Python script in Notepad++
Lecture 17 Python 3 Basics – Scripts in macOS
Lecture 18 Python 3 – Reasons for the ‘No such file or directory’ error (or similar)
Lecture 19 Coding Exercise Solution
Lecture 20 Python 3 Basics – User Input
Lecture 21 Notebook – User Input
Lecture 22 Python 3 Basics – Variables
Lecture 23 Notebook – Variables
Lecture 24 Coding Exercise Solution
Lecture 25 Python 3 Basics – Keywords
Lecture 26 Python 3 – Data Types
Section 3: BEGINNER LEVEL: Python 3 – Strings
Lecture 27 Why learn about each of Python’s data types?
Lecture 28 Python 3 Strings – Introduction
Lecture 29 Python 3 Strings – Methods
Lecture 30 Python 3 Strings – Operators & Formatting
Lecture 31 Python 3 Strings – Formatting Using F-strings
Lecture 32 Python 3 Strings – Slices
Lecture 33 Python 3 Strings – Slicing Using a Step
Lecture 34 Notebook – Strings
Lecture 35 Coding Exercise Solution
Lecture 36 Coding Exercise Solution
Lecture 37 Coding Exercise Solution
Lecture 38 Coding Exercise Solution
Section 4: BEGINNER LEVEL: Python 3 – Numbers and Booleans
Lecture 39 Python 3 Numbers – Math Operators
Lecture 40 Notebook – Numbers and Math Operators
Lecture 41 Coding Exercise Solution
Lecture 42 Python 3 Booleans – Logical Operators
Lecture 43 Notebook – Booleans and Logical Operators
Lecture 44 Coding Exercise Solution
Lecture 45 Coding Exercise Solution
Section 5: BEGINNER LEVEL: Python 3 – Lists
Lecture 46 Python 3 Lists – Introduction
Lecture 47 Python 3 Lists – Methods
Lecture 48 Python 3 Lists – Slices
Lecture 49 Notebook – Lists
Lecture 50 Coding Exercise Solution
Lecture 51 Coding Exercise Solution
Lecture 52 Coding Exercise Solution
Lecture 53 Coding Exercise Solution
Section 6: BEGINNER LEVEL: Python 3 – Sets
Lecture 54 Python 3 Sets – Introduction
Lecture 55 Python 3 Sets – Methods
Lecture 56 Python 3 Sets – Frozensets
Lecture 57 Notebook – Sets and Frozensets
Lecture 58 Coding Exercise Solution
Lecture 59 Coding Exercise Solution
Lecture 60 Coding Exercise Solution
Lecture 61 Coding Exercise Solution
Section 7: BEGINNER LEVEL: Python 3 – Tuples
Lecture 62 Python 3 Tuples – Introduction
Lecture 63 Python 3 Tuples – Tuples vs. Lists
Lecture 64 Python 3 Tuples – Methods
Lecture 65 Notebook – Tuples
Lecture 66 Coding Exercise Solution
Lecture 67 Coding Exercise Solution
Lecture 68 Coding Exercise Solution
Lecture 69 Coding Exercise Solution
Section 8: BEGINNER LEVEL: Python 3 – Ranges
Lecture 70 Python 3 Ranges – Introduction
Lecture 71 Python 3 Ranges – Methods
Lecture 72 Notebook – Ranges
Lecture 73 Coding Exercise Solution
Lecture 74 Coding Exercise Solution
Lecture 75 Coding Exercise Solution
Lecture 76 Coding Exercise Solution
Section 9: BEGINNER LEVEL: Python 3 – Dictionaries
Lecture 77 Python 3 Dictionaries – Introduction
Lecture 78 Python 3 Dictionaries – Methods
Lecture 79 Python 3 Dictionaries – Updates in v3.6 and v3.7
Lecture 80 Python 3 – Conversions Between Data Types
Lecture 81 Notebook – Dictionaries and Conversions Between Data Types
Lecture 82 Coding Exercise Solution
Lecture 83 Coding Exercise Solution
Lecture 84 Coding Exercise Solution
Lecture 85 Coding Exercise Solution
Section 10: INTERMEDIATE LEVEL: Python 3 – Conditionals, Loops and Exceptions
Lecture 86 Python 3 Conditionals – If / Elif / Else
Lecture 87 Notebook – If / Elif / Else Conditionals
Lecture 88 Python 3 Loops – For / For-Else
Lecture 89 Notebook – For / For-Else Loops
Lecture 90 Python 3 Loops – While / While-Else
Lecture 91 Notebook – While / While-Else Loops
Lecture 92 Python 3 Nesting – If / For / While
Lecture 93 Notebook – Nesting
Lecture 94 Python 3 – Break / Continue / Pass
Lecture 95 Notebook – Break / Continue / Pass
Lecture 96 Python 3 – Exceptions
Lecture 97 Python 3 – Try / Except / Else / Finally
Lecture 98 Notebook – Try / Except / Else / Finally
Lecture 99 Coding Exercise Solution
Lecture 100 Coding Exercise Solution
Lecture 101 Coding Exercise Solution
Section 11: INTERMEDIATE LEVEL: Python 3 – Handling Errors and Exceptions in Python
Lecture 102 Python 3 – Fixing Syntax Errors
Lecture 103 Python 3 – Fixing Exceptions
Section 12: INTERMEDIATE LEVEL: Python 3 – Functions and Modules
Lecture 104 Python 3 Functions – Basics
Lecture 105 Python 3 Functions – Arguments
Lecture 106 Notebook – Functions – Basics
Lecture 107 Python 3 Functions – Namespaces
Lecture 108 Python 3 Modules – Importing
Lecture 109 Python 3 Modules – Helpful Functions: dir() and help()
Lecture 110 Notebook – Modules and Importing
Lecture 111 Python 3 Modules – Installing a Non-Default Module in Windows
Lecture 112 Python 3 Modules – Installing a Non-Default Module in macOS
Lecture 113 Coding Exercise Solution
Lecture 114 Coding Exercise Solution
Lecture 115 Coding Exercise Solution
Section 13: INTERMEDIATE LEVEL: Python 3 – File Operations
Lecture 116 Python 3 Files – Opening & Reading
Lecture 117 Python 3 Files – Quick Note for Windows Users
Lecture 118 Python 3 Files – Additional Way of Avoiding the Unicode Error
Lecture 119 Python 3 Files – Writing & Appending
Lecture 120 Python 3 Files – Closing. The “with” Method
Lecture 121 Python 3 Files – Deleting File Contents
Lecture 122 Python 3 Files – Access Modes Summary
Lecture 123 Notebook – File Operations
Lecture 124 Coding Exercise Solution
Lecture 125 Coding Exercise Solution
Lecture 126 Coding Exercise Solution
Section 14: ADVANCED LEVEL: Python 3 – Regular Expressions
Lecture 127 Python 3 Regex – match() & search()
Lecture 128 Python 3 Regex – findall() & sub()
Lecture 129 Python 3 Regex – Regular Expressions Summary
Lecture 130 Notebook – Regular Expressions
Lecture 131 Bonus Video: Special Sequences
Lecture 132 Bonus Video: Sets of Characters
Lecture 133 Bonus Video: OR in Regular Expressions
Lecture 134 Bonus Video: split() & subn()
Lecture 135 Bonus Video: Additional Regex Syntax Elements
Lecture 136 Bonus Video: AttributeError: ‘NoneType’ object has no attribute
Lecture 137 Coding Exercise Solution
Lecture 138 Coding Exercise Solution
Lecture 139 Coding Exercise Solution
Section 15: ADVANCED LEVEL: Python 3 – Classes and Objects
Lecture 140 Python 3 Classes – Objects
Lecture 141 Python 3 Classes – Inheritance
Lecture 142 Notebook – Classes and Objects
Lecture 143 Coding Exercise Solution
Lecture 144 Coding Exercise Solution
Lecture 145 Coding Exercise Solution
Section 16: ADVANCED LEVEL: Python 3 – Other Advanced Concepts
Lecture 146 Python 3 – List / Set / Dictionary Comprehensions
Lecture 147 Notebook – List / Set / Dictionary Comprehensions
Lecture 148 Coding Exercise Solution
Lecture 149 Python 3 – Lambda Functions
Lecture 150 Notebook – Lambda Functions
Lecture 151 Coding Exercise Solution
Lecture 152 Python 3 – map() and filter()
Lecture 153 Notebook – map() and filter()
Lecture 154 Coding Exercise Solution
Lecture 155 Python 3 – Iterators and Generators
Lecture 156 Notebook – Iterators and Generators
Lecture 157 Coding Exercise Solution
Lecture 158 Python 3 – Itertools
Lecture 159 Notebook – Itertools
Lecture 160 Coding Exercise Solution
Lecture 161 Python 3 – Decorators
Lecture 162 Notebook – Decorators
Lecture 163 Coding Exercise Solution
Lecture 164 Python 3 – Threading Basics
Lecture 165 Notebook – Threading Basics
Lecture 166 Python 3 – Coding Best Practices
Lecture 167 You’re Halfway There!
Section 17: GENERAL RECAP: Python 3 – Cheat Sheet and 200+ Pages E-Book
Lecture 168 Python 3 – Cheat Sheet
Lecture 169 Python 3 – 200+ Pages E-book
Section 18: PROJECT – APPLICATION: Build a Scientific Calculator with Python 3
Lecture 170 Planning the Application
Lecture 171 Designing and Building the User Menu
Lecture 172 Implementing Addition, Subtraction, Multiplication, Division
Lecture 173 Implementing Modulo, Raising to a Power, Square Root, Logarithm
Lecture 174 Implementing Trigonometric Functions: sin, cos, tan
Lecture 175 Testing Each Function of the Application
Lecture 176 Download the Code – Interactive Scientific Calculator
Lecture 177 Creating Executable Files (.exe) from Python Scripts (.py)
Section 19: SUPERHERO LEVEL: Automate Excel Tasks with Python 3
Lecture 178 Setting Up the Working Environment
Lecture 179 Loading an Excel Workbook In Python and Creating/Removing Sheets
Lecture 180 Notebook – Handling Workbooks
Lecture 181 Getting General Information About a Sheet
Lecture 182 Notebook – Sheet Information
Lecture 183 Working with Sheet Cells Using Python
Lecture 184 UPDATE! Change in cell.column in recent versions of openpyxl
Lecture 185 Notebook – Cell Information
Lecture 186 Working with Cell Styles Using Python
Lecture 187 Notebook – Cell Styles
Lecture 188 Cell Styles – Update on Colors
Lecture 189 Download the Excel-Python Cheat Sheet
Lecture 190 APPLICATION – Migrating Records from a Text File to an Excel Workbook
Lecture 191 Download the Code – Excel Application
Section 20: SUPERHERO LEVEL: Automate Database Tasks with Python 3
Lecture 192 Installing the Database Server Software
Lecture 193 UPDATE! Downloading and Installing PostgreSQL
Lecture 194 Installing the Necessary Python Module
Lecture 195 Creating a New Database, Schema and User
Lecture 196 UPDATE! Change in database connection via PSQL
Lecture 197 Notebook – Creating a New Database, Schema and User
Lecture 198 Connecting Python to the Database
Lecture 199 Notebook – Connecting Python to the Database
Lecture 200 Creating Database Tables with Python
Lecture 201 UPDATE! Handling the InFailedSqlTransaction exception
Lecture 202 Notebook – Creating Database Tables with Python
Lecture 203 Inserting Records Into a Table with Python
Lecture 204 Notebook – Inserting Records Into a Table with Python
Lecture 205 Updating Records Into a Table with Python
Lecture 206 Notebook – Updating Records Into a Table with Python
Lecture 207 Deleting Records From a Table with Python
Lecture 208 Notebook – Deleting Records From a Table with Python
Lecture 209 Querying the Database with Python
Lecture 210 Notebook – Querying the Database with Python
Lecture 211 Fetching Information From the Database with Python
Lecture 212 Notebook – Fetching Information From the Database with Python
Lecture 213 Committing and Rolling Back Transactions with Python
Lecture 214 Notebook – Committing and Rolling Back Transactions
Lecture 215 Download the PostgreSQL Syntax Cheat Sheet
Lecture 216 Download the PostgreSQL-Python Cheat Sheet
Lecture 217 APPLICATION – Migrating Records from a Text File to the Database
Lecture 218 Download the Code – Database Application
Section 21: SUPERHERO LEVEL: Automate Network Tasks with Python 3
Lecture 219 Network Setup Overview
Lecture 220 Installing the Virtualization Software
Lecture 221 Installing the Virtualization Software on Windows, Linux, macOS
Lecture 222 Downloading & Installing the Network Device VM
Lecture 223 Note about Arista vEOS versions
Lecture 224 Signing Up to the Arista Software Download Portal
Lecture 225 Importing the VM & Tweaking the VM Settings
Lecture 226 UPDATE! vEOS First Boot and the ZeroTouch Feature
Lecture 227 Connecting the Local PC to the Devices in Windows
Lecture 228 Connecting the Local PC to the Devices in macOS
Lecture 229 Necessary Switch/Router Configuration
Lecture 230 Checking the SSH Configuration and Testing the Connectivity
Lecture 231 UPDATE! Putty asking for Host Key / Password
Lecture 232 Any Connection Issues? Check Out This Troubleshooting Checklist!
Lecture 233 Planning the Application
Lecture 234 Logical Flow Diagram
Lecture 235 Checking IP File Validity
Lecture 236 Notebook – Checking IP File Validity
Lecture 237 Checking IP Address Validity
Lecture 238 Notebook – Checking IP Address Validity
Lecture 239 Checking IP Address Reachability
Lecture 240 Notebook – Checking IP Address Reachability
Lecture 241 Note about pinging in Windows vs. Mac OS / Linux
Lecture 242 Checking Username/Password File Validity
Lecture 243 Notebook – Checking Username/Password File Validity
Lecture 244 Checking Command File Validity
Lecture 245 Notebook – Checking Command File Validity
Lecture 246 Establishing the SSH Connection
Lecture 247 Notebook – Establishing the SSH Connection
Lecture 248 Enabling Simultaneous SSH Connections
Lecture 249 Notebook – Enabling Simultaneous SSH Connections
Lecture 250 APPLICATION – Putting Everything Together
Lecture 251 Download the Code – Network Application and Modules
Lecture 252 Reading Device Configuration
Lecture 253 Extracting Network Parameters
Lecture 254 Configuring Multiple Devices Simultaneously
Section 22: SUPERHERO LEVEL: Automate Data Analysis Tasks with Python 3
Lecture 255 Running Python Code – The Next Level: IPython and Jupyter Notebook
Lecture 256 Notebook – IPython and Jupyter Notebook
Lecture 257 Introduction to Pandas – Basic Operations
Lecture 258 Notebook – Introduction to Pandas
Lecture 259 Handling Files with Pandas – TXT, CSV, JSON, XLSX
Lecture 260 Notebook – Handling TXT, CSV, JSON, XLSX Files with Pandas
Lecture 261 Reading HTML Content from URLs and HTML Files with Pandas
Lecture 262 Notebook – Reading HTML Content with Pandas
Lecture 263 Indexing and Slicing Tables with Pandas
Lecture 264 Notebook – Indexing and Slicing Tables with Pandas
Lecture 265 Adding, Updating, Deleting Table Rows and Columns
Lecture 266 Notebook – Adding, Updating, Deleting Table Rows and Columns
Lecture 267 APPLICATION – Reading and Writing Data in PostgreSQL Databases Using Pandas
Lecture 268 UPDATE! Preparing for testing the application
Lecture 269 Download the Code – SQL Data Analysis Application
Section 23: SUPERHERO LEVEL: Data Visualization with Bokeh and Python 3
Lecture 270 Introduction to Bokeh
Lecture 271 Bookmark These 3 Important Documentation Links
Lecture 272 Creating a Basic Line Plot Based on Python Lists
Lecture 273 UPDATE! BokehDeprecationWarning: ‘legend’ keyword is deprecated
Lecture 274 Notebook – Creating a Basic Line Plot Based on Python Lists
Lecture 275 Creating a Bar Plot Based on Excel Data
Lecture 276 Notebook – Creating a Bar Plot Based on Excel Data
Lecture 277 Creating a Pie Chart Based on CSV Data
Lecture 278 UPDATE! Using ‘legend_field’ instead of ‘legend’
Lecture 279 Notebook – Creating a Pie Chart Based on CSV Data
Lecture 280 Plotting Multiple Stock Prices Simultaneously
Lecture 281 Notebook – Plotting Multiple Stock Prices Simultaneously
Lecture 282 Plotting Bitcoin Prices as an Interactive Plot with a Range Tool
Lecture 283 UPDATE! Code change according to a new website structure
Lecture 284 Notebook – Plotting Bitcoin Prices as an Interactive Plot with a Range Tool
Lecture 285 Plotting Bitcoin Prices as an Interactive Plot with Candlesticks
Lecture 286 Notebook – Plotting Bitcoin Prices as an Interactive Plot with Candlesticks
Section 24: SUPERHERO LEVEL: Automate Unit Testing with Python 3
Lecture 287 Installing pytest and Writing Your First Test
Lecture 288 Notebook – Introduction to pytest
Lecture 289 Running Multiple Tests. Test Discovery Rules in Action
Lecture 290 Notebook – Running Multiple Tests
Lecture 291 Testing a Basic Script – Preparing the Test Bed
Lecture 292 Download the Code for Testing
Lecture 293 Fixture Functions
Lecture 294 Notebook – Fixture Functions
Lecture 295 Sharing a Fixture Instance & Fixture Finalization
Lecture 296 Notebook – Sharing a Fixture Instance & Fixture Finalization
Lecture 297 Parametrizing Fixtures
Lecture 298 Notebook – Parametrizing Fixtures
Lecture 299 Marking Test Functions Using Attributes
Lecture 300 Notebook – Marking Test Functions Using Attributes
Lecture 301 Marking Test Functions Using Custom Markers
Lecture 302 Notebook – Marking Test Functions Using Custom Markers
Section 25: SUPERHERO LEVEL: Automate Web Scraping with Python 3
Lecture 303 Installing the Necessary Modules
Lecture 304 Notebook – Installing the Necessary Modules
Lecture 305 Extracting and Parsing Web Content
Lecture 306 Notebook – Extracting and Parsing Web Content
Lecture 307 Tags, Names and Attributes
Lecture 308 Notebook – Tags, Names and Attributes
Lecture 309 Searching the Tree of HTML Tags: find() and find_all()
Lecture 310 Notebook – Searching the Tree of HTML Tags: find() and find_all()
Lecture 311 APPLICATION – Extracting the Product Names, Links and Prices. Saving to Excel
Lecture 312 Download the Code – Scraping Web Data and Saving to Excel
Lecture 313 APPLICATION – Handling Website Pagination When Extracting Data
Lecture 314 Download the Code – Handling Website Pagination When Extracting Data
Section 26: SUPERHERO LEVEL: Diving into Object-Oriented Programming [2021 Update]
Lecture 315 OOP vs. Functional Programming
Lecture 316 Class vs. Object
Lecture 317 Constructor, Instance Attributes and ‘self’
Lecture 318 Encapsulation – Public, Private and Protected
Lecture 319 Class Attributes
Lecture 320 Class vs. Static methods
Lecture 321 Inheritance in OOP
Lecture 322 Multi-level Inheritance
Lecture 323 Multiple (Diamond) Inheritance and MRO
Lecture 324 Polymorphism and Method Overriding
Lecture 325 Operator Overloading and Magic Methods
Lecture 326 Notebook – Most common magic methods
Lecture 327 Abstract Classes and Methods
Section 27: SUPERHERO LEVEL: Build Your First Web Project with Django & Python [2021 Update]
Lecture 328 Update! Installing Python 3.9
Lecture 329 Setting Up a Virtual Environment
Lecture 330 Notebook – Setting Up a Virtual Environment
Lecture 331 Installing Django 3
Lecture 332 Notebook – Installing Django 3
Lecture 333 Installing PyCharm Community Edition
Lecture 334 Notebook – Installing PyCharm on MacOS
Lecture 335 Bonus! WSL: Windows – Linux Subsystem
Lecture 336 Notebook – WSL: Windows-Linux Subsystem
Lecture 337 Django Project & App Creation
Lecture 338 Notebook – Django Project & App Creation
Lecture 339 Explaining settings.py
Lecture 340 Notebook – Sample settings.py for our project
Lecture 341 URLs and Views Routing
Lecture 342 Class Based Views over Function Based Views
Lecture 343 Django Templates
Lecture 344 Notebook – Django Templates
Lecture 345 Models & Querysets
Lecture 346 Django Forms
Lecture 347 Notebook – Django Forms
Lecture 348 URL Variables
Lecture 349 Notebook – URL Variables
Lecture 350 The ‘createsuperuser’ Command and Logging to Django Admin
Lecture 351 Register Models & Edit DB Entries from Django Admin
Lecture 352 Download the Project
Lecture 353 Django Project Testing
Lecture 354 Notebook – Writing tests in tests.py
Lecture 355 Installing Git Bash and Pushing to Gitlab
Lecture 356 Notebook – Git Bash
Lecture 357 Gitlab Pipeline to Run Tests at Commit
Lecture 358 Notebook – Gitlab Pipeline
Section 28: SUPERHERO LEVEL: Build an Expense Tracker REST API From Scratch [2021 Update]
Lecture 359 Installing Git Bash
Lecture 360 Notebook – Installing Git Bash
Lecture 361 Installing PyCharm Community Edition
Lecture 362 Notebook – Installing PyCharm on MacOS
Lecture 363 Installing Django 3
Lecture 364 Django Project & App Creation
Lecture 365 Notebook – PyCharm & Django
Lecture 366 Setting Up Pre-commit Hooks
Lecture 367 TDD & Running the First Test
Lecture 368 Github Actions to Run the Tests
Lecture 369 Notebook – Continuous Integration
Lecture 370 REST & Django Rest Framework
Lecture 371 Expense Model
Lecture 372 APIView
Lecture 373 Serializers
Lecture 374 Generic Views
Lecture 375 Filters
Lecture 376 Permission Classes
Lecture 377 API Key Authentication & Final Project Version Download
Section 29: SUPERHERO LEVEL: Build a GraphQL API with Django and Graphene [2021 Update]
Lecture 378 GraphQL vs REST
Lecture 379 Graphene
Lecture 380 Installation & Project Creation
Lecture 381 Defining the Schema: Object Types and Query
Lecture 382 Fetching Data: Resolvers
Lecture 383 Notebook – Sample JSON Data (Users)
Lecture 384 Changing Data: Inputs, Payloads & Mutations
Lecture 385 Adding More Data: User Posts
Lecture 386 Notebook – Sample JSON Data (Posts)
Lecture 387 Installing Docker on Windows 10 Pro
Lecture 388 Installing Docker on Windows 10 Home
Lecture 389 Docker Files
Lecture 390 Notebook – Dockerfile Content
Lecture 391 Docker Build & Run
Lecture 392 Notebook – docker-entrypoint.sh
Lecture 393 Docker Compose
Lecture 394 Notebook – docker-compose.yaml
Section 30: SUPERHERO LEVEL: Advanced RegEx – Extension Notations and Assertions
Lecture 395 Extension notations and non-capturing groups
Lecture 396 Extension notations and non-capturing groups – Notebook
Lecture 397 Named groups and groupdict()
Lecture 398 Named groups and groupdict() – Notebook
Lecture 399 Positive lookahead assertions
Lecture 400 Positive lookahead assertions – Notebook
Lecture 401 Negative lookahead assertions
Lecture 402 Negative lookahead assertions – Notebook
Lecture 403 Positive lookbehind assertions
Lecture 404 Positive lookbehind assertions – Notebook
Lecture 405 Negative lookbehind assertions
Lecture 406 Negative lookbehind assertions – Notebook
Section 31: [BONUS] Useful Python Modules and Tools
Lecture 407 Comparing File Contents (difflib)
Lecture 408 Notebook – Comparing File Contents (difflib)
Lecture 409 Argument Passing with sys.argv
Lecture 410 Notebook – Argument Passing with sys.argv
Section 32: [BONUS] 10 Ways to Earn Money and Build a Portfolio with Your Python Skills
Lecture 411 Putting Your Skills to Work – Part 1
Lecture 412 Putting Your Skills to Work – Part 2
Lecture 413 Download the Presentation
Section 33: Final Section
Lecture 414 Closing Thoughts
Lecture 415 How to Get Your Certificate of Course Completion
Lecture 416 Bonus Lecture
Anyone who wants to make the right choice when starting to learn programming.,Test Engineers, Test Automation Engineers, Quality Assurance Engineers and Analysts.,Network Engineers, Database Administrators, System Engineers, IT Engineers, Data Entry Operators.,Any kind of IT geeks who wish to learn Python 3 programming from scratch.,This course is for beginners only and should not be attended by senior developers.
Udemy | English | 30h 4m | 9.45 GB
Created by: Mihai Catalin Teodosiu