2.43 GB | 11min 22s | mp4 | 1920X1080 | 16:9
Genre:eLearning |Language:English
Files Included :
1 Installing Python and Setting Up The Development Environment (IDEText Editor).mp4 (31.83 MB)
2 Variables and Assignment.mp4 (41.83 MB)
3 Data Types Integers, Floats, Strings, Booleans.mp4 (63.27 MB)
4 Operators Arithmetic, Comparison, Logical.mp4 (91.71 MB)
5 Conditional Statements (if, elif, else).mp4 (59.18 MB)
6 Loops (for, while).mp4 (28.64 MB)
7 Break and Continue Statements.mp4 (44.51 MB)
8 Creating Lists, Accessing Elements, List Methods (append, insert, remove, etc).mp4 (73.31 MB)
9 Creating Tuples, Accessing Elements, Tuple Methods.mp4 (63.54 MB)
10 Creating Dictionaries, Accessing Values, Dictionary Methods.mp4 (105.78 MB)
11 Creating Sets, Set Operations (union, intersection, difference).mp4 (64.45 MB)
12 Function Parameters and Arguments.mp4 (73.36 MB)
13 Return Values.mp4 (74.41 MB)
14 Scope of Variables.mp4 (49.81 MB)
15 Importing Modules.mp4 (78.69 MB)
16 Using The pip Package Manager.mp4 (35.89 MB)
17 Classes and Objects.mp4 (91.93 MB)
18 Attributes and Methods.mp4 (68.68 MB)
19 Inheritance, Polymorphism, Encapsulation.mp4 (109.05 MB)
20 Creating and Instantiating Objects.mp4 (40.09 MB)
21 Accessing and Modifying Object Attributes.mp4 (63.21 MB)
22 Calling Object Methods.mp4 (56.18 MB)
23 Getting Input From The User Using input().mp4 (81.84 MB)
24 Opening and Closing Files.mp4 (62.98 MB)
25 Reading and Writing Data To Files.mp4 (52.05 MB)
26 Working With Different File Modes.mp4 (62.88 MB)
27 Popular Python Libraries (NumPy, Pandas, Matplotlib, requests).mp4 (120.02 MB)
28 Installing and Importing Libraries.mp4 (40.99 MB)
29 Working With NumPy Arrays.mp4 (93.53 MB)
30 Data Analysis With Pandas.mp4 (78.43 MB)
31 Data Visualization With Matplotlib.mp4 (67.96 MB)
32 Making API Calls With Requests.mp4 (96.61 MB)
33 Try-except Blocks.mp4 (67.41 MB)
34 Raising Exceptions.mp4 (53.06 MB)
35 Regular Expressions.mp4 (53.07 MB)
36 Connecting To Databases (eg, SQLite, MySQL).mp4 (85.02 MB)
37 Executing SQL Queries.mp4 (64.56 MB)]
Screenshot
1 Installing Python and Setting Up The Development Environment (IDEText Editor).mp4 (31.83 MB)
2 Variables and Assignment.mp4 (41.83 MB)
3 Data Types Integers, Floats, Strings, Booleans.mp4 (63.27 MB)
4 Operators Arithmetic, Comparison, Logical.mp4 (91.71 MB)
5 Conditional Statements (if, elif, else).mp4 (59.18 MB)
6 Loops (for, while).mp4 (28.64 MB)
7 Break and Continue Statements.mp4 (44.51 MB)
8 Creating Lists, Accessing Elements, List Methods (append, insert, remove, etc).mp4 (73.31 MB)
9 Creating Tuples, Accessing Elements, Tuple Methods.mp4 (63.54 MB)
10 Creating Dictionaries, Accessing Values, Dictionary Methods.mp4 (105.78 MB)
11 Creating Sets, Set Operations (union, intersection, difference).mp4 (64.45 MB)
12 Function Parameters and Arguments.mp4 (73.36 MB)
13 Return Values.mp4 (74.41 MB)
14 Scope of Variables.mp4 (49.81 MB)
15 Importing Modules.mp4 (78.69 MB)
16 Using The pip Package Manager.mp4 (35.89 MB)
17 Classes and Objects.mp4 (91.93 MB)
18 Attributes and Methods.mp4 (68.68 MB)
19 Inheritance, Polymorphism, Encapsulation.mp4 (109.05 MB)
20 Creating and Instantiating Objects.mp4 (40.09 MB)
21 Accessing and Modifying Object Attributes.mp4 (63.21 MB)
22 Calling Object Methods.mp4 (56.18 MB)
23 Getting Input From The User Using input().mp4 (81.84 MB)
24 Opening and Closing Files.mp4 (62.98 MB)
25 Reading and Writing Data To Files.mp4 (52.05 MB)
26 Working With Different File Modes.mp4 (62.88 MB)
27 Popular Python Libraries (NumPy, Pandas, Matplotlib, requests).mp4 (120.02 MB)
28 Installing and Importing Libraries.mp4 (40.99 MB)
29 Working With NumPy Arrays.mp4 (93.53 MB)
30 Data Analysis With Pandas.mp4 (78.43 MB)
31 Data Visualization With Matplotlib.mp4 (67.96 MB)
32 Making API Calls With Requests.mp4 (96.61 MB)
33 Try-except Blocks.mp4 (67.41 MB)
34 Raising Exceptions.mp4 (53.06 MB)
35 Regular Expressions.mp4 (53.07 MB)
36 Connecting To Databases (eg, SQLite, MySQL).mp4 (85.02 MB)
37 Executing SQL Queries.mp4 (64.56 MB)]
Screenshot
RapidGator
Code:Copy to clipboard
Code:Copy to clipboard
https://rapidgator.net/file/79ab48b100f0ea95849d42d5f5dd7151/
https://rapidgator.net/file/372c61a0ac1963ce7811370aca498d99/
https://rapidgator.net/file/80ec311026988daf08e0a208214122b6/
<—====All Premium====—>
UsersDrive
Code:Copy to clipboard
https://usersdrive.com/x20trei9akap
https://usersdrive.com/imcr4vum98vb
https://usersdrive.com/1yy7o1v8zx9d
You may roll your eyes at my jokes, but you won’t be bored!The course starts with a deep dive into confusing technical terms like terminal, shell, kernel, Unix, Unix-Like, GNU, Linux, and Bash. It’s important to understand the context and the WHYs around the command line and its history that still impacts our machines today.Then we shift our focus to the general patterns and structure that all commands follow including options and arguments. This blueprint we define will inform every single other topic we cover throughout the rest of the course. You’ll also learn HOW to learn more about specific commands using the man, help, which, and type commands.Next, we cover the super-important Linux folder structure and learn essential commands for navigating our machines including ls, pwd, and cd. You’ll be an expert navigator in no time!From there we learn to create new files and folders right from the command line using the commands touch, mkdir, and file. Next, we dive deep into a special text editor built right into the command line called Nano. You’ll learn to open and edit files using Nano, master various Nano shortcuts, and even learn how to configure nano’s global settings.The next section covers the powerful commands rm, mv, and cp. You’ll learn how to remove individual files and entire directories, move and rename files, and copy files and folders right from the command line. These are some of the most useful commands you can know!Then we take a quick break to focus on useful keyboard shortcuts you can use to improve your terminal efficiency, before diving into the history command and history expansion.The next section covers tons of commands that have to do with manipulating file contents, including less, cat, tac, rev, head, tail, wc, and sort. Then we cover the three standard streams: standard input, standard output, and standard error. You’ll learn to redirect all three streams and take full control of your data.Next, we move to my favorite topic: piping! In this section, you’ll learn how to construct complex and powerful pipelines by stringing together multiple individual commands. You’ll also learn about the tr command and the tee command along the way.From there we learn to "speak" the language of the shell using Expansion and Substitution. You’ll learn the ins and outs of pathname expansion using wildcard characters, tilde expansion, and the super powerful curly brace expansion. We also cover arithmetic expansion, command substitution, and single and double quoting.Next up we learn about two commands that help us find files on our machine: locate and find. We pay special attention to the find command and its many fancy options and use cases. You’ll learn how to find files by name, size, timestamps, and more. You’ll also learn how to bulk-edit files using find’s exec option and the xargs command.We then shift our focus to the grep command. You’ll learn how to use grep to recursively search the contents of files and match complex files using regular expressions.Next, we spend some time discussing the details of file permissions. You’ll learn how to read file attributes and understand read, write, and execute permissions. In the next section, we learn how to alter permissions using commands including chmod, chown, sudo, and su.In the next section, we learn how to customize our shell experience. You’ll learn to write your custom aliases, work with shell variables, and even create your fancy prompt. Then we learn how to create our complex commands from scratch and the basics of bash scripting! By the end, you’ll be writing and running your programs.Finally, we learn about the mysterious cron daemon. You’ll learn the odd-looking cron syntax to set up your own automated and scheduled cronjobs.=THE END= Whether you have some experience with basic commands or you’re a complete beginner, this course will help take your skills to the next level. Learning the command line is one of the rare skills that transcend the typical divisions between web development, data science, machine learning, or any other tech disciplines. If you work with a computer daily, you will benefit from mastering the command line. The commands you learn in the course will change the way you interact with your machine, giving you all new workflows and strategies and POWER over your computer! More importantly, you’ll leave this course prepared to conquer ALL the commands that are waiting for you out in the real world and on the job.