Download Master Python Programming: The Complete Python Bootcamp 2022

What you would learn in Master Python Programming: The Complete Python Bootcamp 2022 course?

This course is NOT unlike the other Python Programming course you can enroll in on the internet. At the end of this course, you will MASTER all three Python key concepts beginning from Scratch, and you'll be one of the best Python programmers.

We are welcoming you to the useful Python Programming course to learn Python, which is the most sought-after programming language across the workforce in 2022.

I'm constantly changing the course to make it the most complete yet simple Python Programming course on Earth!

2022 Upcoming Course Changes

Making Web-based Analytics applications using Dash
Python GUI Programming with Tkinter
Python Web Development with Flask
GUI Automation with Selenium
Other useful Python Included Modules (time DateTime zip, pdf, etc.)
Generators In Tief

The topics that are covered within the Complete Python Programming Bootcamp are:

Installation of Python 3 on Windows, Mac, and Linux
Executing Python code from the console IDLE or PyCharm
Variables, Constants, as well as Comments in Python
Maths, Comparison, Identity, and Logical Operators
Built-in Types Dynamically, Dynamically. statically typed languages
Strings in Python
Lists in Python
Tuples in Python
Sets as well as Frozensets in Python
Dictionaries in Python
List, Set, and Dictionary Comprehension
Control of Flow
User-defined Functions
Internal Functions and Closures
Decorators
Utilizing Text Files in Python
Error and Handling Exceptions
Obj-Oriented Programming (OOP): Classes as well as objects
Working using Python Modules. Installing modules with Pip
Very Useful Python Built-in Modules: Sys, Os, Shutil, Random, Decimal, Subprocess, etc
Learn to send Emails using Python (SMTPLIB)
Utilizing CSV Files using Python
Working using Excel Files in Python
working with databases that contain SQL using Python
requests and web scraping are possible with Python
Installation and Use of Jupyter Notebook
Data Analysis using Pandas
Pandas Series, Pandas DataFrames, Filtering Pandas Data
Interactive Plotly Charts Scatter Plots Line Charts Bar Charts, Pie Charts and Histograms
Parallel Programming in-Depth: Multithreading and Multiprocessing in Python
Async IO in Python (asyncio, async/await, aiohttp, profiles, asyncssh)
Network Automation using Python (Telnet, SSH, Paramiko, Netmiko)

Each topic contains numerous live examples using Python and a full E-Book with a companion programming section, tens or more questions, slides, and test-taking exercises.

When you've completed the Python Training, you'll have the necessary Python skills to progress into specific fields: Artificial Intelligence (AI), Machine Learning, Data Science, Network Automation, or Web Development using frameworks like Django, Flask, or Pyramid.

Course Content:

You can master all Python 3 key concepts starting with Scratch. There is no previous Python experience is required.
For each Key Concept, you'll get an HD Video and a Coding Section: An E-Book accompanies the book, a quiz, a practice activity, and slides.
Learn to master Python 3 from the ground. Develop professional PYTHONIC code using the best methods.
Learn to work with Python control flow structures: if, for, while break, continue, pass, exceptions, try-except-else-finally blocks, etc.
Learn all Python structures of data: lists, strings sets, tuples, tuples, Dictionary.
Learn how to work efficiently using Text or CSV documents (including Pandas).
Master Network Automation using SSH Paramiko and Netmiko. Telnet as well as Serial Connections.
Learn how to use Pip and Python Modules: Sys, Os, Subprocess, Shutil Random, and Decimal.
Learn to send Emails using Python (SMTPLIB)
Learn in-depth how to utilize Multithreading as well as Multiprocessing within Python.
Get a solid understanding of Async IO and learn how to construct Asynchronous Applications using Python.
Learn how to utilize HTTP Requests Library and BeautifulSoup and develop an automatic web scraping program.
Learn how to use SQL Databases in Python.
Learn how to work efficiently using Excel Files and automate spreadsheet-related tasks.
Learn to analyze data using Pandas.
Learn to create Interactive Charts with Plotly
Learn the necessary Python Skills to move into specific areas: AI, Machine Learning, Data Science, Network Automation, and Web.
Gain a thorough understanding of Decorators, Internal Functions, and Closures.