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Python Bootcamp - A complete course for 2023

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21:16:59

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  • 1. Introduction To The Course.mp4
    02:58
  • 2. Installing Python And PyCharm.mp4
    06:04
  • 3. Hello World Program In Python.mp4
    08:06
  • 4. Some other Mathematical Operations in Python.mp4
    06:14
  • 5. Strings In Python.mp4
    05:00
  • 6. Accepting Input from the User in Python.mp4
    05:06
  • 7. Performing operations on a string in Python.mp4
    05:25
  • 8. Variables in Python.mp4
    06:33
  • 9. In Place Operators in Python.mp4
    06:28
  • 10. Writing Our Very First Program in PyCharm.mp4
    04:27
  • 11. Coding Challenge Part 1.mp4
    07:31
  • 12. If Statement in Python.mp4
    08:32
  • 13. Else if Statement in Python.mp4
    05:37
  • 14. Introduction to Lists in Python.mp4
    06:17
  • 15. List Operations in Python.mp4
    08:32
  • 16. List Functions in Python.mp4
    07:20
  • 17. Range Function in Python.mp4
    05:10
  • 18. Code Reuse and Functions in Python.mp4
    07:38
  • 19. For Loop in Python.mp4
    08:35
  • 20. Boolean Logic in Python.mp4
    05:57
  • 21. While Loop in Python.mp4
    05:48
  • 22. Passing Arguments to Functions in Python.mp4
    06:28
  • 23. Making Function Return Value in Python.mp4
    04:37
  • 24. Passing Functions as Arguments in Python.mp4
    05:19
  • 25. Modules in Python.mp4
    04:28
  • 26. Errors & Exceptions in Python.mp4
    07:59
  • 27. Exception Handling in Python.mp4
    04:54
  • 28. Finally Block.mp4
    03:23
  • 29. File Handling.mp4
    06:43
  • 30. Reading Data from File.mp4
    04:16
  • 31. Adding Data to the File.mp4
    06:04
  • 32. Appending to a File.mp4
    02:01
  • 33. Dictionaries.mp4
    07:10
  • 34. Dictionary Functions.mp4
    05:37
  • 35. Tuples.mp4
    03:41
  • 36. List Slicing.mp4
    05:19
  • 37. List Comprehension.mp4
    05:06
  • 38. String Formatting.mp4
    05:35
  • 39. String Functions.mp4
    07:57
  • 40. Numeric Functions.mp4
    02:45
  • 41. Functional Programming.mp4
    06:34
  • 42. Lambdas in Python.mp4
    05:06
  • 43. Map in Python.mp4
    06:06
  • 44. Filters in Python.mp4
    04:00
  • 45. Generators in Python.mp4
    06:28
  • 46. Object Oriented Programming in Python.mp4
    13:48
  • 47. Inheritance in Python.mp4
    05:40
  • 48. Recursion in Python.mp4
    07:07
  • 49. Sets in Python.mp4
    07:56
  • 50. Itertools in Python.mp4
    09:23
  • 51. Operator Overloading in Python.mp4
    07:42
  • 52. Data Hiding in Python.mp4
    06:29
  • 53. Regular Expressions in Python.mp4
    06:33
  • 54. Search & Find all.mp4
    05:03
  • 55. Find & Replace.mp4
    04:59
  • 56. The Dot Metacharacter.mp4
    03:33
  • 57. Caret & Dollar Metacharacter.mp4
    05:17
  • 58. Character Class.mp4
    06:03
  • 59. Star Metacharacter.mp4
    04:40
  • 60. Groups.mp4
    03:24
  • 1. Tkinter Hello World Program.mp4
    07:09
  • 2. Tkinter Using Frames.mp4
    05:43
  • 3. Tkinter Grid Layout.mp4
    06:32
  • 4. Tkinter Self Adjusting Widgets.mp4
    05:00
  • 5. Tkinter Handling Button Clicks.mp4
    04:03
  • 6. Tkinter Using Classes.mp4
    10:39
  • 7. Tkinter Using Drop Downs.mp4
    11:41
  • 8. Tkinter Toolbar.mp4
    08:03
  • 9. Tkinter Making Status Bar.mp4
    03:25
  • 10. Tkinter Message box.mp4
    04:36
  • 11. Tkinter Drawing.mp4
    05:21
  • 12. Building Calculator App Part 1.mp4
    12:12
  • 13. Building Calculator App Part 2.mp4
    06:27
  • 14. Building Calculator App Part 3.mp4
    04:57
  • 15. Introduction to Data Analysis Using Python.mp4
    10:08
  • 16. Installing Tools For Data Analysis.mp4
    05:26
  • 17. Introduction to Pandas & Series.mp4
    08:03
  • 18. Converting Dictionaries to Series.mp4
    03:31
  • 19. Introduction to Data Frames.mp4
    06:28
  • 20. Changing Column Sequence.mp4
    06:53
  • 21. Changing Columns & Transposing Dataframe.mp4
    05:35
  • 22. Reindexing Series & DataFrames.mp4
    07:50
  • 23. Deleting Rows & Coulumns.mp4
    04:12
  • 24. Arithmetic Operations on Dataframe and Series.mp4
    05:42
  • 25. Arithmetic Operations in Between Dataframe and Series.mp4
    05:42
  • 26. Sorting Series and Dataframes.mp4
    07:23
  • 27. Sorting According to Values.mp4
    02:54
  • 28. Handling Duplicate Values.mp4
    02:54
  • 29. Calculating Sum, Max & Min Values.mp4
    03:29
  • 30. Dropping Nan Values.mp4
    05:33
  • 31. Loading Data from a file.mp4
    04:57
  • 32. Analyzing file Data.mp4
    07:41
  • 33. Creating Numpy Array.mp4
    03:21
  • 34. Another way to Create an Array.mp4
    04:11
  • 35. Logspace & Linspace.mp4
    04:01
  • 36. Slicing a Numpy Array.mp4
    07:01
  • 37. Advanced Indexing and Slicing Techniques.mp4
    09:16
  • 38. Broadcasting.mp4
    05:26
  • 39. Iterating using nditer.mp4
    03:23
  • 40. Plotting data using Matplotlib.mp4
    06:26
  • 1. Installing Django on Windows.mp4
    04:10
  • 2. Creating Our First Django Project.mp4
    10:03
  • 3. Creating Our Own App.mp4
    04:31
  • 4. Overview Of an App in Django.mp4
    06:12
  • 5. Creating Our Own Views in Django.mp4
    11:41
  • 6. Applying Migrations.mp4
    02:43
  • 7. Creating Books Table in Django.mp4
    05:31
  • 8. Final Steps in Creating Table.mp4
    04:24
  • 9. Adding Data to the Database Tables in Django.mp4
    05:54
  • 10. Filtering the Results in Django.mp4
    06:16
  • 11. Admin Panel in Django.mp4
    07:50
  • 12. Creating Another View in Django.mp4
    09:58
  • 13. Connecting to the Database in Django.mp4
    07:37
  • 14. Creating Templates in Django.mp4
    10:31
  • 15. Rendering Templates in Django.mp4
    02:48
  • 16. Raising a 404 Error in Django.mp4
    08:59
  • 17. Designing The Detail View in Django.mp4
    04:38
  • 18. Removing The Hardcoded Urls in Django.mp4
    02:41
  • 19. Namespaces in Django.mp4
    03:31
  • 20. Using Static Files In Django.mp4
    09:15
  • 21. Creating Our Navigation Bar in Django.mp4
    09:16
  • 22. Navigation Bar Touchup in Django.mp4
    09:14
  • 23. Using Base Templates in Django.mp4
    08:57
  • 24. Generic Views In Django.mp4
    07:55
  • 25. Design Touchup in Django.mp4
    11:06
  • 26. Form To Add Books in Django.mp4
    07:29
  • 27. Form To Add Books Part -2.mp4
    14:06
  • 28. Creating An App in Django.mp4
    07:54
  • 29. Overview of an App in Django.mp4
    05:16
  • 30. Creating a View in Django.mp4
    06:22
  • 31. Applying Migrations in Django.mp4
    02:53
  • 32. Creating Models in Django.mp4
    04:09
  • 33. Creating Database Tables in Django.mp4
    03:31
  • 34. Adding Data To Database in Django.mp4
    04:49
  • 35. Filtering Results in Django.mp4
    06:45
  • 36. Creating A Super User in Django.mp4
    07:59
  • 37. Creating Another View in Django.mp4
    06:02
  • 38. Connecting To The Database in Django.mp4
    07:10
  • 39. Creating Templates in Django.mp4
    09:13
  • 40. Using Render in Django.mp4
    03:02
  • 41. Raising 404 Error in Django.mp4
    07:02
  • 42. Designing The Detail View in Django.mp4
    03:22
  • 43. Removing Hard Coded URLs in Django.mp4
    03:02
  • 44. Using Namespaces in Django.mp4
    03:12
  • 45. Using Static Files in Django.mp4
    06:34
  • 46. Designing Navbar in Django.mp4
    05:36
  • 47. Navbar Touchup in Django.mp4
    04:42
  • 48. Creating Directory Structure in Flask.mp4
    09:07
  • 1. Hello world in Flask.mp4
    07:43
  • 2. Routing in Flask.mp4
    05:24
  • 3. Variables in Flask.mp4
    06:51
  • 4. Dynamic Urls in Flask.mp4
    09:16
  • 5. Passing Data To The Server in Flask.mp4
    15:20
  • 6. Templates in Flask.mp4
    07:15
  • 7. Passing Data to Templates in Flask.mp4
    07:20
  • 8. Using Templates in Flask.mp4
    09:04
  • 9. Passing Form Data To Templates in Flask.mp4
    12:42
  • 10. Using Cookies in Flask.mp4
    14:35
  • 11. Introduction to Rest API.mp4
    06:00
  • 12. Build REST API using Django REST Framework.mp4
    20:35
  • 13. Creating API Endpoints.mp4
    08:37
  • 14. Adding Image Field in Rest API.mp4
    10:34
  • 15. Filtering in Rest API.mp4
    07:40
  • 16. Search functionality.mp4
    04:10
  • 17. API Authentication.mp4
    15:33
  • 1. Web Scraping using Python Part-1.mp4
    06:23
  • 2. Web Scraping using Python Part-2.mp4
    05:39
  • 3. Web Scraping using Python Part-3.mp4
    04:56
  • 4. Web Scraping using Python Part-4.mp4
    05:13
  • 5. Web Scraping using Python Part-5.mp4
    07:25
  • 6. Web Scraping using Python Part-6.mp4
    03:50
  • 7. Web Scraping using Python Part-7.mp4
    07:54
  • 8. Web Scraping using Python Part-8.mp4
    05:18
  • 9. Web Scraping using Python Part-9.mp4
    04:07
  • 10. Web Scraping using Python Part-10.mp4
    05:25
  • 11. Web Scraping using Python Part-11.mp4
    04:22
  • 12. Web Scraping using Python Part-12.mp4
    04:21
  • 13. Web Scraping using Python Part-13.mp4
    07:03
  • 14. Web Scraping using Python Part-14.mp4
    06:27
  • 15. Web Scraping using Python Part-15.mp4
    05:11
  • 16. Web Scraping using Python Part-16.mp4
    05:34
  • 17. Web Scraping using Python Part-17.mp4
    05:52
  • 18. Web Scraping using Python Part-18.mp4
    06:23
  • 19. Web Scraping using Python Part-19.mp4
    06:12
  • 20. Automation With Selenium Web Driver and Python.mp4
    02:00
  • 21. Installing Selenium.mp4
    03:46
  • 22. Opening a URL using Selenium.mp4
    03:21
  • 23. Automating Google Search using Selenium.mp4
    07:03
  • 24. Find Elements By XPATH using Selenium.mp4
    04:12
  • 25. Clicking Links using Selenium.mp4
    05:19
  • 26. Refreshing a Webpage using Selenium.mp4
    02:27
  • 27. Using Forward and Backward Navigation Buttons using Selenium.mp4
    03:07
  • 28. Scrolling and Getting the Current URL using Selenium.mp4
    04:45
  • 29. Building A Facebook Auto Poster.mp4
    13:23
  • 1. Python Clean Code Part - 1.mp4
    05:42
  • 2. Python Clean Code Part - 2.mp4
    09:27
  • 3. Python Clean Code Part - 3.mp4
    05:47
  • 4. Python Clean Code Part - 4.mp4
    07:23
  • 5. Python Clean Code Part - 5.mp4
    06:20

    • Description

    Python, Tkinter, Django, Flask, and Web Scraping

    What You'll Learn?

    • Python, Tkinter, Django, Flask, and Web Scraping
    • Learn best practices to write clean, performant, and bug free code
    • Learn how to use Python in Web Development
    • Build a Web Scraper with Python
    • Have a fundamental understanding of the Python programming language.
    • Understand how to create your own Python programs.

    Who is this for?

  • Beginners or programmers who wish to learn python

    • More details

    Description

    Well Structured & Easy To Learn: Course has been specially designed to make it easy for the students to learn Python, Django, Data Analysis, Flask, Tkinter, OpenCV, Desktop App development with PostgreSQL & Web Scraping.

    You will learn Python right starting from scratch to the level where you can build almost anything with it, be it a fully functional database oriented web application or an automation tool. This course will teach you Python right from scratch from a very basic level and will gradually move you towards more advanced topics. We not just cover all the Python basics but also the most popular Python libraries such as Django, Flask, Tkinter & Selenium.


    This course will teach you Python in a practical manner, with every lecture comes a full coding screencast. Learn in whatever manner is best for you!

    We will start by helping you get Python installed on your computer, regardless of your operating system, whether its Linux, MacOS, or Windows, we've got you covered

    This course is aimed at complete beginners who have never programmed before, as well as existing programmers who want to increase their career options by learning Python.

    The fact is, Python is one of the most popular programming languages in the world – Huge companies like Google use it in mission critical applications like Google Search.

    And Python is the number one language choice for machine learning, data science and artificial intelligence. To get those high paying jobs you need an expert knowledge of Python, and that’s what you will get from this course.

    By the end of the course you’ll be able to apply in confidence for Python programming jobs. And yes, this applies even if you have never programmed before. With the right skills which you will learn in this course, you can become employable and valuable in the eyes of future employers.


    Become a Python Programmer and learn one of employer's most requested skills of 2023!

    Who this course is for:

    • Beginners or programmers who wish to learn python

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    Python

    Code Donor
    Code Donor
    Instructor's Courses
    Having been a self taught programmer, I 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.
    Udemy
    Udemy
    View courses Udemy
    Students take courses primarily to improve job-related skills.Some courses generate credit toward technical certification. Udemy has made a special effort to attract corporate trainers seeking to create coursework for employees of their company.
    • language english
    • Training sessions 199
    • duration 21:16:59
    • Release Date 2022/12/24

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