Python Complete Masterclass for Beginners

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.

Requirements

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.

Description

✔ 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!

Overview

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.

Course Information:

Udemy | English | 30h 4m | 9.45 GB
Created by: Mihai Catalin Teodosiu

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