100 Days Of Code: The Complete Python Pro Bootcamp For (2022) (updated 11/2022)
100 Days Of Code: The Complete Python Pro Bootcamp For 2022
Last updated 11/2022
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English
| Size: 32.62 GB[/center]
| Duration: 64h 3m
Master Python by building 100 projects in 100 days. Learn data science, automation, build websites, games and apps!
What you'll learn
You will master the Python programming language by building 100 unique projects over 100 days.
You will learn automation, game, app and web development, data science and machine learning all using Python.
You will be able to program in Python professionally
You will learn Selenium, Beautiful Soup, Request, Flask, Pandas, NumPy, Scikit Learn, Plotly, and Matplotlib.
Create a portfolio of 100 Python projects to apply for developer jobs
Be able to build fully fledged websites and web apps with Python
Be able to use Python for data science and machine learning
Build games like Blackjack, Pong and Snake using Python
Build GUIs and Desktop applications with Python Requirements
No programming experience needed - I'll teach you everything you need to know
A Mac or PC computer with access to the internet
No paid software required - I'll teach you how to use PyCharm, Jupyter Notebooks and Google Colab
I'll walk you through, step-by-step how to get all the software installed and set up Description
Welcome to the 100 Days of Code - The Complete Python Pro Bootcamp, the only course you need to learn to code with Python. With over 500,000 5 STAR reviews and a 4.8 average, my courses are some of the HIGHEST RATED courses in the history of Udemy! 100 days, 1 hour per day, learn to build 1 project per day, this is how you master Python.At 60+ hours, this Python course is without a doubt the most comprehensive Python course available anywhere online. Even if you have zero programming experience, this course will take you from beginner to professional. Here's why:The course is taught by the lead instructor at the App Brewery, London's best in-person programming Bootcamp.The course has been updated to be 2022 ready and you'll be learning the latest tools and technologies used at large companies such as Apple, Google and Netflix.This course doesn't cut any corners, there are beautiful animated explanation videos and tens of real-world projects which you will get to build. e.g. Tinder auto swiper, Snake game, Blog Website, LinkedIn Auto Submit Job ApplicationThe curriculum was developed over a period of 2 years, with comprehensive student testing and feedback.We've taught over 600,000 students how to code and many have gone on to change their lives by becoming professional developers or starting their own tech startup.You'll save yourself over $12,000 by enrolling, and still get access to the same teaching materials and learn from the same instructor and curriculum as our in-person programming Bootcamp.The course is constantly updated with new content, with new projects and modules determined by students - that's you!We'll take you step-by-step through engaging video tutorials and teach you everything you need to know to succeed as a Python developer.The course includes over 60 hours of HD video tutorials and builds your programming knowledge while making real-world Python projects.Throughout this comprehensive course, we cover a massive amount of tools and technologies, including:Python 3 - the latest version of PythonPyCharm, Jupyter Notebook, Google ColabPython Scripting and AutomationPython Game DevelopmentWeb ScrapingBeautiful SoupSelenium Web DriverRequestWTFormsData SciencePandasNumPyMatplotlibPlotlyScikit learnSeabornTurtlePython GUI Desktop App DevelopmentTkinterFront-End Web DevelopmentHTML 5CSS 3Bootstrap 4Bash Command LineGit, GitHub and Version ControlBackend Web DevelopmentFlaskRESTAPIsDatabasesSQLSQLitePostgreS QLAuthenticationWeb DesignDeployment with GitHub Pages, Heroku and GUnicornand much much more!By the end of this course, you will be fluently programming in Python and you'll be so good at Python that you can get a job or use the language professionally.You'll also build a portfolio of 100 projects that you can show off to any potential employer. Including:BlackjackSnake GamePong GameAuto Swipe on TinderAuto Job Applications on LinkedInAutomate Birthday Emails/SMSFully Fledged Blog WebsiteBuild Your Own Public APIData Science with Google TrendsAnalysing Lego DatasetsGoogle App Store Analysisand much much more!Sign up today, and look forward to:Video LecturesCode Challenges and ExercisesFully Fledged ProjectsQuizzesProgramming Resources and CheatsheetsDownloadsOur best selling 12 Rules to Learn to Code eBook$12,000+ Python Pro Bootcamp course materials and curriculumDon't just take my word for it, check out what existing students have to say about my courses:"Angela is just incredible, awesome and just fantastic in this course. I've never had such an instructor; detailed in every aspect of the course, gives precise explanations, gives you the anxiety to learn etc. She's got that ability to make fun while explaining things for better understanding. I really love this course." - Ekeu MonkamUlrich"Angela is very thorough without ever being boring. I've taken MANY online courses in my life including my Bachelors and Masters degrees. She is by far the best instructor I've ever had. This course is packed with thousands of dollars worth of great instruction, and paced well enough for anyone to pick coding up and run with it- Thank you!" - J Carlucci"Love the way Angela explains things. Easy to follow and full of logic. I can say she must spend a lot of energy creating this great course. Thank you and I recommend it to all who's interested in coding!" - Yiqing Zheng"So far (on my third day) this course has taught me more than I was able to learn in multiple other programming courses. This course is clearly outlined and builds upon itself gradually in an easy to understand way." - Normal Ramsey"It's a different approach to teaching Web Development. I like that you are given everything possible to succeed from the onset." - Ronick ThomasThe tutor is simply AMAZING, by far the best tutor I have ever had. I would give her 10 stars out of 5. She is not just punching the code and talking to herself, but she is actually explaining things. She keeps on giving really useful hints and she will give you a great load of other references. I always knew what I was doing and why I was doing it. All the extra challenges have just made me remember and understand things better. - Peter DlugosREMEMBER. I'm so confident that you'll love this course that we're offering a FULL money-back guarantee for 30 days! So it's a complete no-brainer, sign up today with ZERO risk and EVERYTHING to gain.So what are you waiting for? Click the buy now button and join the world's highest-rated development course.
Overview
Section 1: Day 1 - Beginner - Working with Variables in Python to Manage Data
Lecture 1 What you're going to get from this course
Lecture 2 START HERE
Lecture 3 Downloadable Resources and Tips for Taking the Course
Lecture 4 Day 1 Goals: what we will make by the end of the day
Lecture 5 FAQ: Can I Use PyCharm/VSCode/ Another Local Code Editor?
Lecture 6 Printing to the Console in Python
Lecture 7 Join Our Class on Coding Rooms
Lecture 8 [Interactive Coding Exercise] Printing
Lecture 9 String Manipulation and Code Intelligence
Lecture 10 [Interactive Coding Exercise] Debugging Practice
Lecture 11 The Python Input Function
Lecture 12 [Interactive Coding Exercise] Input Function
Lecture 584 Requirement 4 - Allow Any User to Add Comments to BlogPosts
Section 70: Day 70 - Advanced - Deploying Your Web Application with Heroku
Lecture 585 Day 70 Goals - Learn to Deploy Your Website
Lecture 586 Version Control and Git
Lecture 587 What is GitHub?
Lecture 588 Step 1 - Upload Your Project to GitHub
Lecture 589 Step 2 - Use gunicorn and Heroku to host your website
Lecture 590 Step 3 - Setup a WSGI server with gunicorn
Lecture 591 Step 4 - Upgrade SQLite Database to PostgreSQL
Section 71: Day 71 - Advanced - Data Exploration with Pandas: College Major v.s. Your Salary
Lecture 592 Day 71 Goals: what you will make by the end of the day
Lecture 593 Getting Set Up for Data Science
Lecture 594 Upload the Data and Read the .csv File
Lecture 595 Preliminary Data Exploration and Data Cleaning with Pandas
Lecture 596 Accessing Columns and Individual Cells in a Dataframe
Lecture 597 Solution: Highest and Lowest Earning Degrees
Lecture 598 Sorting Values & Adding Columns: Majors with the Most Potential vs Lowest Risk
Lecture 599 Solution: Degrees with the Highest Potential
Lecture 600 Grouping and Pivoting Data with Pandas
Lecture 601 Learning Points & Summary
Section 72: Day 72 - Advanced - Data Visualisation with Matplotlib: Programming Languages
Lecture 602 Day 72 Goals: what you will make by the end of the day
Lecture 603 Download and Open the Starter Notebook
Lecture 604 Solution: Preliminary Data Exploration
Lecture 605 Solution: Analysis by Programming Language
Lecture 606 Data Cleaning: Working with Time Stamps
Lecture 607 Data Manipulation: Pivoting DataFrames
Lecture 608 Data Visualisation with Matplotlib
Lecture 609 Multi-Line Charts with Matplotib
Lecture 610 Smoothing out Time-Series Data
Lecture 611 Learning Points & Summary
Section 73: Day 73 - Advanced - Aggregate & Merge Data with Pandas: Analyse the LEGO Dataset
Lecture 612 Day 73 Goals: what you will make by the end of the day
Lecture 613 Use HTML Markdown to Make Your Notebook Look Pretty
Lecture 614 Solution: Exploring the LEGO Brick Colours
Lecture 615 Find the Oldest and Largest LEGO Sets
Lecture 616 Visualise the Number of Sets Published over Time
Lecture 617 How to use the Pandas .agg() function
Lecture 618 Superimposing Line Charts with Separate Axes
Lecture 619 Scatter Plots: Average Number of Parts per LEGO Set
Lecture 620 Relational Database Schemas: Primary and Foreign Keys
Lecture 621 How to Merge DataFrames and Create Bar Charts
Lecture 622 Learning Points & Summary
Section 74: Day 74 - Advanced - Google Trends Data: Resampling and Visualising Time Series
Lecture 623 Day 74 Goals: what you will make by the end of the day
Lecture 624 Data Exploration - Making Sense of Google Search Data
Lecture 625 Data Cleaning - Resampling Time Series Data
Lecture 626 Data Visualisation - Tesla Line Charts in Matplotlib
Lecture 627 Using Locators and DateFormatters to generate Tick Marks on a Time Line
Lecture 628 Data Visualisation - Bitcoin: Line Style and Markers
Lecture 629 Data Visualisation - Unemployment: How to use Grids
Lecture 630 Data Visualisation - Unemployment: The Effect of New Data
Lecture 631 Learning Points & Summary
Section 75: Day 75 - Advanced - Beautiful Plotly Charts & Analysing the Android App Store
Lecture 632 Day 75 Goals: what you will make by the end of the day
Lecture 633 Data Cleaning: Removing NaN Values and Duplicates
Lecture 634 Preliminary Exploration: The Highest Ratings, Most Reviews, and Largest Size
Lecture 635 Data Visualisation with Plotly: Create Pie and Donut Charts
Lecture 636 Numeric Type Conversions for the Installations & Price Data
Lecture 637 Plotly Bar Charts & Scatter Plots: The Most Competitive & Popular App Categories
Lecture 638 Extracting Nested Column Data using .stack()
Lecture 639 Grouped Bar Charts and Box Plots with Plotly
Lecture 640 Learning Points & Summary
Section 76: Day 76 - Advanced - Computation with NumPy and N-Dimensional Arrays
Lecture 641 Day 76 Goals: what you will make by the end of the day
Lecture 642 NumPy's ndarray - Incredible Power at Your Fingertips!
Lecture 643 Generating and Manipulating ndarrays
Lecture 644 Broadcasting, Scalars and Matrix Multiplication
Lecture 645 Manipulating Images as ndarrays
Lecture 646 Learning Points & Summary
Section 77: Day 77 - Advanced - Linear Regression and Data Visualisation with Seaborn
Lecture 647 Day 77 Goals: what you will make by the end of the day
Lecture 648 Explore and Clean the Data
Lecture 649 Investigate the Films that had Zero Revenue
Lecture 650 Filter on Multiple Conditions: International Films
Lecture 651 Seaborn Data Visualisation: Bubble Charts
Lecture 652 Floor Division: A Trick to Convert Years to Decades
Lecture 653 Plotting Linear Regressions with Seaborn
Lecture 654 Use scikit-learn to Run Your Own Regression
Lecture 655 Learning Points & Summary
Section 78: Day 78 - Advanced - Analysing the Nobel Prize with Plotly, Matplotlib & Seaborn
Lecture 656 Day 78 Goals: what you will make by the end of the day
Lecture 657 Update Packages in Google Colab & Explore and Clean the Dataset
Lecture 658 plotly Bar & Donut Charts: Analyse Prize Categories & Women Winning Prizes
Lecture 659 Using Matplotlib to Visualise Trends over Time
Lecture 660 A Choropleth Map and the Countries with the Most Prizes
Lecture 661 Create Sunburst Charts for a Detailed Regional Breakdown of Research Locations
Lecture 662 Unearthing Patterns in the Laureate Age at the Time of the Award
Lecture 663 Learning Points & Summary
Section 79: Day 79 - Advanced - The Tragic Discovery of Handwashing: t-Tests & Distributions
Lecture 664 Day 79 Goals: what you will make by the end of the day
Lecture 665 Preliminary Data Exploration and Visualising Births & Deaths at Vienna Hospital
Lecture 666 Analysing the Yearly Data Split By Clinic
Lecture 667 The Effect of Handwashing
Lecture 668 Visualising Distributions and Testing for Statistical Significance
Lecture 669 Learning Points & Summary
Section 80: Day 80 - Advanced - Capstone Project - Predict House Prices
Lecture 670 Day 80 Goals: what you will make by the end of the day
Lecture 671 Solution & Learning Points
Section 81: Day 81 - Professional Portfolio Project - [Python Scripting]
Lecture 672 The Road to Becoming a Professional Developer
Section 82: Day 82 - Professional Portfolio Project - [Python Web Development]
Lecture 673 Where are the Videos and the Solution Code?
Section 83: Day 83 - Professional Portfolio Project - [Python Scripting]
Section 84: Day 84 - Professional Portfolio Project - [GUI]
Section 85: Day 85 - Professional Portfolio Project - [GUI]
Section 86: Day 86 - Professional Portfolio Project - [Game]
Section 87: Day 87 - Professional Portfolio Project - [Web Development]
Section 88: Day 88 - Professional Portfolio Project - [Web Development]
Section 89: Day 89 - Professional Portfolio Project - [GUI Desktop App]
Section 90: Day 90 - Professional Portfolio Project - [HTTP Requests & APIs]
Section 91: Day 91 - Professional Portfolio Project - [Image Processing & Data Science]
Section 92: Day 92 - Professional Portfolio Project - [Web Scraping]
Section 93: Day 93 - Professional Portfolio Project - [GUI Automation]
Section 94: Day 94 - Professional Portfolio Project - [Game]
Section 95: Day 95 - Professional Portfolio Project - [HTTP Requests & APIs]
Section 96: Day 96 - Professional Portfolio Project - [Web Development]
Section 97: Day 97 - Professional Portfolio Project - [Python Automation]
Section 98: Day 98 - Professional Portfolio Project - [Data Science]
Section 99: Day 99 - Professional Portfolio Project - [Data Science]
Section 100: Day 100 - Professional Portfolio Project - [Data Science]
Section 101: Final Stretch
Lecture 674 Recording of our Live AMA (aka AAA - Ask Angela Anything)
Lecture 675 Study With Me
Lecture 676 Bonus Lecture: Check out my other courses
If you want to learn to code from scratch through building fun and useful projects, then take this course.,If you want to start your own startup by building your own websites and web apps.,If you are a complete beginner then this course will be everything you need to become a Python professional,If you are a seasoned programmer wanting to switch to Python then this is the quickest way. Learn through coding projects.,If you are an intermediate Python programmer then you know 100 days of code challenges will help you level up.
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