The Complete Python Developer
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Introduction
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Python IntroductionWhat is A Programming Language6m 24sPython InterpreterHow To Run Python Code4m 53sLatest Version Of Python1m 28sNote: Jumping To Developer EnvironmentOur First Python Program0sMonthly Coding Challenges, Free Resources and GuidesPython 2 vs Python 30sWhy So Many Languages0sExercise: How Does Python Work?0sZTM Python Cheat SheetPython Developer MonthlyEndorsements On LinkedIN
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Python BasicsLearning Python0sPython Data Types0sHow To SucceedNumbers0sMath Functions0sDEVELOPER FUNDAMENTALS: I0sOperator Precedence0sIMPORTANT: Replit CodeExercise: Operator PrecedenceOptional: bin() and complex0sVariables0sExpressions vs Statements0sAugmented Assignment Operator0sStrings0sString Concatenation0sType Conversion0sEscape Sequences0sFormatted Strings0sString Indexes0sImmutability0sBuilt-In Functions + Methods0sBooleans0sExercise: Type Conversion0sDEVELOPER FUNDAMENTALS: II0sExercise: Password Checker0sLists0sList Slicing0sMatrix0sList Methods0sList Methods 20sList Methods 30sCommon List Patterns0sList Unpacking0sNone0sDictionaries0sPython 3.7: Ordered DictDEVELOPER FUNDAMENTALS: III0sDictionary Keys0sDictionary Methods0sDictionary Methods 20sTuples0sTuples 20sSets0sSets 20s
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Python Basics IIBreaking The Flow0sConditional Logic0sIndentation In Python0sTruthy vs Falsey0sTernary Operator0sShort Circuiting0sLogical Operators0sExercise: Logical Operators0sis vs ==0sFor Loops0sIterables0sExercise: Tricky Counter0srange()0senumerate()0sWhile Loops0sWhile Loops 20sbreak, continue, pass0sOur First GUI0sDEVELOPER FUNDAMENTALS: IV0sExercise: Find Duplicates0sFunctions0sParameters and Arguments0sDefault Parameters and Keyword Arguments0sExercise: TeslaMethods vs Functions0sDocstrings0sClean Code0s*args and **kwargs0sExercise: Functions0sWalrus Operator0sScope0sScope Rules0sglobal Keyword0snonlocal Keyword0sWhy Do We Need Scope?0sExercise: Imposter Syndrome0sPython Exam: Testing Your Understanding
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Developer EnvironmentMAC – Python Install0sWINDOWS – Python Install0sWINDOWS – Get TerminalLINUX – Python InstallPython Developer Tools0sSublime Text0sResources: Customizing Sublime Text 4Quick Note: Upcoming VideoOptional: Terminal Commands0siTerm SetupUsing the Command Line/Terminal0sVisual Studio Code0sPyCharm0sCode Formatting – PEP 80sQuick Note: Jupyter NotebooksJupyter Notebooks0sSection Review0s
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Advanced Python: Object Oriented ProgrammingNote on Upcoming SectionsWhat Is OOP?0sWhat Is OOP? Part 20sCreating Our Own Objects0sAttributes and Methods0s__init__0sExercise: Cats Everywhere@classmethod and @staticmethod0sReviewing What We Know So Far0sDEVELOPER FUNDAMENTALS: V0sEncapsulation0sAbstraction0sPrivate vs Public Variables0sInheritance0sInheritance 20sPolymorphism0sExercise: Pets Everywheresuper()0sObject Introspection0sDunder Methods0sExercise: Extending List0sMultiple Inheritance0sMRO – Method Resolution Order0s
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Advanced Python: Functional ProgrammingFunctional Programming0sWhat Is Functional Programming?0sPure Functions0smap()0sfilter()0szip()0sExercises: map, filter, zip, reduceLambda Expressions0sExercise: Lambda Expressions0sList Comprehensions0sSet and Dictionary Comprehension0sExercise: Comprehensions0sWe Still Have More To Go!
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Advanced Python: Decorators
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Advanced Python: Error Handling
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Advanced Python: Generators
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Modules In PythonModules In Python0sPackages In Python0sDifferent Ways To Import0s__name__0sPython Built-in Modules0sPython Built-in Modules 20sExercise: Guessing Game0sPython Package Index0spip install0sVirtual Environments0sUseful Modules0sInteresting Tidbit: Python DictionariesUseful Modules 20sDEVELOPER FUNDAMENTALS: VI0s
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Debugging In Python
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File I/O
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Regular Expressions
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Testing in Python
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Career Of A Python Developer
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Scripting with PythonSection Overview0sWhat Is Image Processing?0sDEVELOPER FUNDAMENTALS: VII0sFinal Updated Code for this ProjectImages With Python0sImages With Python 20sImages With Python 30sExercise: JPG to PNG Pokedex Converter0sQuick Note: GithubSolution: JPG to PNG Pokedex Converter0sOpenCV0sQuick Note: Upcoming LecturePDFs With Python0sExercise: PDF Merger0sExercise: Watermarker0sSolution: Watermarker0sQuick Note: Google Security UpdatesSending Emails With Python 20sSending Emails With Python 30sPassword Checker Project0sHow Hackers Work0sPassword API0sQuick Note: Upcoming VideoOptional: Hash Function0sPassword Checker0sPassword Checker 20sPassword Checker 30sPassword Checker 40sQuick Note: Twitter/X API ApprovalAlternative Option: BlueskyTwitter API0sQuick Note: Tweepy APIOur First Twitter Bot0sOur First Twitter Bot 20sOur First Twitter Bot 30sOur First Twitter Bot 40sSMS With Python0sSMS With Python 20sSMS With Python 30sNtfy FunExercise: Build Something Funny
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Scripting Data with PythonWeb Scraping Introduction0sWeb Scraping and APIs0sHow Googlebot Works0sOur Hacker News Project0sRequesting Data0sBeautifulSoup Basics0sQuick Note: .storylink to .titlelineBeautifulSoup Selectors0sHacker News Project0sHacker News Project 20sHacker News Project 30sSolution: Hacker News Project 30sWhat To Do Next With Scraping?0s
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Web Development with PythonSection Overview0sHow Websites Work0sHow Websites Work 20sBuilding Our First Server0sQuick Note: Flask VersionsSetting Up Flask0sBuilding A Flask Server0sFlask Templates0sFlask Static Files0sFavicon0sTemplating Engine0sURL Parameters0sMIME Types0sFiles Needed for Next VideoBuilding A Portfolio0sFREE HTML TemplatesBuilding A Portfolio 20sBuilding A Portfolio 30sBuilding A Portfolio 40sHTML FormsBuilding A Portfolio 50sBuilding A Portfolio 60sBuilding A Portfolio 70sQuick Fix: newlineQuick Note About Databases0sUpcoming VideoOptional: How Databases Work0sBuilding A Portfolio 80sBuilding A Portfolio 90sExtra Exercise: Customize Your Portfolio
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Automation/Testing
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Machine Learning + Data ScienceSection Overview0sAI/Machine Learning/Data Science0sHow Machine Learning Works0sHistory Of Data0sTypes of Machine Learning0sMachine Learning 1010sTools In Machine Learning0sKaggle DatasetsData Science 10sData Science 20sData Science 30sMachine Learning 10sMachine Learning 20sOptional: K Nearest NeighbourMachine Learning 30sMachine Learning 40sQuick Note: Joblib UpdateMachine Learning 50sMachine Learning 60sQuick Note: Updated Code For Next LectureExercise: ReallySmartBrain0sMy Favourite Machine Learning Resource
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Where To Go From Here?
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Extra BitsQuick Note: Upcoming VideosGithub Update: Master –> MainCWD: Git + Github 20sContributing To Open Source0sContributing To Open Source 20sExercise: Contribute To Open SourceCoding ChallengesQuick Note: Upcoming VideosJTS: Learn to Learn0sJTS: Start With Why0sQuick Note: Next VideoMy Terminal Setup0sMy Terminal Setup 2AMA – 1,000 Students!!0sAMA – 100,000 Students!!
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Appendix: HTML Forms
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BONUS SECTION
It’s time to become a modern and complete Python developer! Join a live online community of over 900,000+ developers and a course taught by an industry expert that has actually worked both in Silicon Valley and Toronto. Graduates of Andrei’s courses are now working at Google, Tesla, Amazon, Apple, IBM, JP Morgan, Meta, + other top tech companies.
Learn Python from scratch, get hired, and have fun along the way with the most modern, up-to-date Python course on Udemy (we use the latest version of Python). This course is focused on efficiency: never spend time on confusing, out of date, incomplete Python tutorials anymore.
This comprehensive and project based course will introduce you to all of the modern skills of a Python developer (Python 3) and along the way, we will build over 12 real world projects to add to your portfolio (You will get access to all the the code from the 12+ projects we build, so that you can put them on your portfolio right away)!
The curriculum is going to be very hands on as we walk you from start to finish of becoming a professional Python developer. We will start from the very beginning by teaching you Python basics and programming fundamentals, and then going into advanced topics and different career fields in Python so you can get real life practice and be ready for the real world.
The topics covered in this course are:
– Programming Fundamentals
– Python Basics
– Python Fundamentals
– Data Structures
– Object Oriented Programming with Python
– Functional Programming with Python
– Lambdas
– Decorators
– Generators
– Testing in Python
– Debugging
– Error Handling
– Regular Expressions
– Comprehensions
– Modules
– Virtual Environments
– Developer Environments (PyCharm, Jupyter Notebooks, VS Code, Sublime Text + more)
– File Processing: Image, CSV, PDFs, Text + more
– Web Development with Python
– Machine Learning with Python
– Data Science with Python
– Automation with Python and Selenium
– Scripting with Python
– Web Scraping with Python and BeautifulSoup
– Image Detection
– Data Visualizations
– Kaggle, Pandas, NumPy, scikit-learn
– Email and SMS with Python
– Working with APIs (Twitter Bot, Password Checker, Translator)
By the end of this course, you will be a complete Python developer that can get hired at large companies. We are going to use Python to work with Email, Text Messages, CSV files, PDF files, Image Files, Data Visualizations, build our own machine learning model and perform Image detection. We are going to build a web scraper for HackerNews, build a Twitter bot, build the most secure password checker and we will also build some automation tools using Selenium. But the best part? We will build an actual portfolio website using Python that your future employer and customers can contact you at. By the end, you will have a stack of projects you have built that you can show off to others.
Here’s the truth: Most courses teach you Python and do just that. They show you how to get started. But the thing is you don’t know where to go from there or how to build your own projects.
Whether you are new to programming, or want to level up your Python skills, or are coming from a different programming language, this course is for you. This course is not about making you just code along without understanding the principles so that when you are done with the course you don’t know what to do other than watch another tutorial. No! This course will push you and challenge you to go from an absolute beginner with no coding experience to someone that can go off, forget about me, and build their own applications and get hired.
Taught By:
Andrei Neagoie is the instructor of the highest rated Development courses on Udemy as well as one of the fastest growing. His graduates have moved on to work for some of the biggest tech companies around the world like Apple, Google, Amazon, JP Morgan, IBM, UNIQLO etc… He has been working as a senior software developer in Silicon Valley and Toronto for many years, and is now taking all that he has learned, to teach programming skills and to help you discover the amazing career opportunities that being a developer allows in life.
Having been a self taught programmer, he understands that there is an overwhelming number of online courses, tutorials and books that are overly verbose and inadequate at teaching proper skills. Most people feel paralyzed and don’t know where to start when learning a complex subject matter, or even worse, most people don’t have $20,000 to spend on a coding bootcamp. Programming skills should be affordable and open to all. An education material should teach real life skills that are current and they should not waste a student’s valuable time. Having learned important lessons from working for Fortune 500 companies, tech startups, to even founding his own business, he is now dedicating 100% of his time to teaching others valuable software development skills in order to take control of their life and work in an exciting industry with infinite possibilities.
Andrei promises you that there are no other courses out there as comprehensive and as well explained. He believes that in order to learn anything of value, you need to start with the foundation and develop the roots of the tree. Only from there will you be able to learn concepts and specific skills(leaves) that connect to the foundation. Learning becomes exponential when structured in this way.
Taking his experience in educational psychology and coding, Andrei’s courses will take you on an understanding of complex subjects that you never thought would be possible.
See you inside the course!
What's included
- 30.5 hours on-demand video
- 1 coding exercise
- 68 articles
- 23 downloadable resources
- Access on mobile and TV
- Full lifetime access
- Certificate of completion