Python Programming: Code Python Like a Boss & Become a Dev!

Watch Python Programming: Code Python Like a Boss & Become a Dev!

  • 1969
  • 1 Season

Python Programming: Code Python Like a Boss & Become a Dev! is an engaging online tutorial series designed for those who want to become skilled Python programmers. The program is created and presented by Jason Cannon, an experienced Linux system administrator, and a respected instructor at LinuxTrainingAcademy.

This tutorial consists of 139 unique lectures, each of which is devoted to a specific module or concept of Python. It's an effective, hands-on method of learning how to use the Python programming language. The course is challenging but provides a comprehensive journey through the fundamentals of Python programming. All the courses are delivered in HD video, and the course structure is designed to be practical.

The program begins with an introduction to Python and a brief history of programming languages. The course progresses with lectures on data types, variables, and operators. Students will learn how to write and run Python code using various methods, such as PyCharm and the terminal. Throughout the course, Jason Cannon reinforces concepts with numerous exercises and quizzes, giving learners plenty of opportunities to put their skills into practice.

The tutorial covers a wide range of Python subjects, starting with essential concepts like loops and conditional statements. It then proceeds to advanced topics like web scraping, classes, and file handling. Each section is designed to ensure that learners perform hands-on exercises, which increases the effectiveness of the program.

Python Programming: Code Python Like a Boss & Become a Dev! is not for beginners, and thus it requires learners to possess a certain level of pre-existing programming knowledge. The series' programming examples are designed to challenge learners and equip them with a real-world understanding of coded solutions. This course is perfect for those with prior knowledge of JavaScript, C++, or other programming languages who want to upskill these new skills.

Throughout Python Programming: Code Python Like a Boss & Become a Dev!, Jason Cannon actively supports his students. With years of experience in teaching Linux and programming, he has a deep understanding of the common hurdles encountered by new programmers, as well as the best ways to overcome these obstacles. The instructor is enthusiastic about passing on his knowledge to others, making the course not only informative but also enjoyable.

The course structure is simple and easy to navigate, making it simple for learners to track their progress. The clear layout, complete with a table of contents and lecture numbers, means that learners can quickly access any part of the course or track their progress. The quizzes and exercises allow students to test their knowledge and comprehension of topics, and the final project gives students an opportunity to show off their new programming skills by writing original code solutions and applying the concepts they've learned.

In conclusion, Python Programming: Code Python Like a Boss & Become a Dev! from Jason Cannon - LinuxTrainingAcademy is a valuable course for anyone looking to develop their programming skills, specifically in Python. This practical course provides an excellent grounding in Python development and provides learners with the knowledge and confidence needed to write Python programs confidently. The course is designed to be accessible to novices but also challenging enough for those with prior programming knowledge. With this tutorial series, learners will become skilled developers in their own right!

Python Programming: Code Python Like a Boss & Become a Dev! is a series that ran for 1 seasons (52 episodes) between and on Jason Cannon - LinuxTrainingAcademy

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Seasons
Modules Summary
52. Modules Summary
 
Summary of the section on modules
Modules, Part II
51. Modules, Part II
 
Explanation of modules (cont'd)
Modules, Part I
50. Modules, Part I
 
Explanation of modules
Modules Overview
49. Modules Overview
 
Overview of the section on modules
Files Summary
48. Files Summary
 
Summary of the section on files
Files, Part II
47. Files, Part II
 
Explanation of files (cont'd)
Files, Part I
46. Files, Part I
 
Explanation of files
Files Overview
45. Files Overview
 
Overview of the section on files
Tuples Summary
44. Tuples Summary
 
Summary of the section on tuples
Tuples
43. Tuples
 
Explanation of tuples
Tuples Overview
42. Tuples Overview
 
Overview of the section on tuples
Dictionaries Summary
41. Dictionaries Summary
 
Summary of the section on dictionaries
Dictionaries - Part II
40. Dictionaries - Part II
 
Explanation of dictionaries (cont'd)
Dictionaries - Part I
39. Dictionaries - Part I
 
Explanation of dictionaries
Dictionaries Overview
38. Dictionaries Overview
 
Overview of the section on dictionaries
Lists Summary
37. Lists Summary
 
Summary of the section on lists
Sortings and Ranges
36. Sortings and Ranges
 
Explanation of sorting and ranges
Loops
35. Loops
 
Explanation of loops
Exception Handling
34. Exception Handling
 
Explanation of exception handling
Slices
33. Slices
 
Explanation of slices
Lists
32. Lists
 
Explanation of lists
Lists Overview
31. Lists Overview
 
Overview of the section on lists
Functions Summary
30. Functions Summary
 
Summary of the section on functions
Functions, Part II
29. Functions, Part II
 
Explanation of functions (cont'd)
Functions, Part I
28. Functions, Part I
 
Explanation of functions
Functions Overview
27. Functions Overview
 
Overview of the section on functions
Booleans and Conditionals Summary
26. Booleans and Conditionals Summary
 
Summary of the section on booleans and conditionals
Conditionals
25. Conditionals
 
Explanation of conditionals
Booleans
24. Booleans
 
Explanation of booleans
Booleans and Conditionals Overview
23. Booleans and Conditionals Overview
 
Overview of the section on booleans and conditionals
Numbers and Math Summary
22. Numbers and Math Summary
 
Summary of the section on numbers and math
Comments
21. Comments
 
Explanation of comments in Python code
Numbers, Numeric Operations, and Numeric Functions
20. Numbers, Numeric Operations, and Numeric Functions
 
Explanation of numbers, numeric operations, and numeric functions
Numbers and Math Overview
19. Numbers and Math Overview
 
Overview of the section on numbers and math
Solutions to the Practice Exercises - #3
18. Solutions to the Practice Exercises - #3
 
Demonstration of solutions to practice exercise #3
Solutions to the Practice Exercises - #2
17. Solutions to the Practice Exercises - #2
 
Demonstration of solutions to practice exercise #2
Solutions to the Practice Exercises - #1
16. Solutions to the Practice Exercises - #1
 
Demonstration of solutions to practice exercise #1
Strings and Variables Summary
15. Strings and Variables Summary
 
Summary of section on strings and variables
Formatting Strings
14. Formatting Strings
 
Explanation of string formatting
String Concatenation
13. String Concatenation
 
Explanation of string concatenation
String Methods
12. String Methods
 
Explanation of string methods
Functions and Printing
11. Functions and Printing
 
Explanation of functions and printing in command line
Variables and Strings
10. Variables and Strings
 
More details on strings and variables
Strings and Variables Overview
9. Strings and Variables Overview
 
Basics of section on strings and variables
Running Python Programs
8. Running Python Programs
 
How to run Python programs from the command line
Writing Python Programs
7. Writing Python Programs
 
Fundamentals of Python programming
Installing Python on Linux
6. Installing Python on Linux
 
Explanation of how to install Python 3 on Linux OS
Installing Python on Mac
5. Installing Python on Mac
 
Explanation of how to install Python 3 on Mac OS
Installing Python on Windows
4. Installing Python on Windows
 
Explanation of how to install Python 3 on Windows OS
Python 2 vs Python 3
3. Python 2 vs Python 3
 
Comparison of Python 2 and Python 3
Course Downloads (Includes Solutions to the Practice Exercises)
2. Course Downloads (Includes Solutions to the Practice Exercises)
 
Explanation of the course download structure and contents
Course Overview
1. Course Overview
 
Overview of course structure and topics covered
Description
Where to Watch Python Programming: Code Python Like a Boss & Become a Dev!
Python Programming: Code Python Like a Boss & Become a Dev! is available for streaming on the Jason Cannon - LinuxTrainingAcademy website, both individual episodes and full seasons. You can also watch Python Programming: Code Python Like a Boss & Become a Dev! on demand at Amazon.