Course Includes
- Recorded Lessons: 61
- Recorded Hours: 9
- Duration: 9 days (Avg)
Course Features
- Access on mobile
- TDP Assessment Test
Top Skills Covered
Overview
Course Description
Learn Python Online | Complete Python Online Course By Sekhar Metla
Let's get started with Python, To start with Python you need to learn to succeed in application development. It is easy to learn and understand. Our online Full Python Course for Beginners program is designed for beginners with the complete steps required to develop dynamic website/web applications. Mr. Sudha Sekhar will explain to you even complex topics to simplify and teach you, which beginners can understand easily with real-time examples.
Python is a computer programming language often used to build websites and software, automate tasks, and conduct data analysis. Python is a general-purpose language, meaning it can be used to create a variety of different programs and isn't specialized for any specific problems.
In order to learn any programming language, the first step is to ensure that you understand how to learn. Among the most important skills in computer programming is learning how to learn. With this course you can learn python online by experts tutorials.
How important is learning how to learn? To answer your question, new libraries and tools are created as languages evolve. To stay on top of these changes and succeed as a programmer, you will need to know how to learn Python?
How is Python used in real life?
Since it functions on cross-platform operating systems, Python can be used to develop a host of applications, including web apps, gaming apps, enterprise-level applications, ML apps, image processing, text processing, AI programs, Robot Programs, Raspberry PI programs, IOT Programs and so much more.
Why is Python so popular?
The first and foremost reason why Python is much popular is that it is highly productive as compared to other programming languages like C++ and Java. ... Python is also very famous for its simple programming syntax, code readability, and English-like commands that make coding in Python a lot easier and efficient.
Why is Python used for AI?
Python has a rich library, it is also object-oriented, and easy to program. It can be also used as frontend language. That's why it is used in artificial intelligence. Rather than AI it is also used in machine learning, soft computing, NLP programming, and also used as web scripting or Ethical hacking.
In this Python online course, we will cover all these points.
Create a Good and Strong base foundation in Python, With the python certification course for beginners.
- Python Skills
- Python DataTypes
- Python Operators
- Python Compare statements
- Python Methods and Functions
- Python Object-Oriented Programming
- Python Classes
- Python Objects
- Python Instances
- Python Class Members
- Python Methods
- Python Methods with Parameters
- Python Methods with Default keyword using
- Python Methos Overriding
- Python Method Overloading
- Python Inheritance
- Python Polymorphism
- Python Interfaces
- Python Abstract Program
- Python Encapsulation
- Python Access Modifiers
- Python Secure Coding
- Python Sequences
- Python MySQL Programming
- Python SQLi Program Connection
- Python Database Connection
- Python Modules and Packages
- Python Errors and Exception handling
- Python Advanced Modules
- Python Django Web Framework
- Python Django Admin Module
- Python Django Url Path Setting
- Python Django Configuring Apps
- A Strong Skillset at Your Hands-on Code
Learn to develop a Django web application using Python3 language. This course assumes no prior programming knowledge(language basics will help you), just a desire to learn to develop your own web applications using a trending programming language.
What is the job role of a Python developer?
Python developers are responsible for writing server-side web application logic. They typically develop back-end components, connect the application with third-party web services, and support the front-end developers by integrating their work with the Python application.
Python Most Popular Job Roles:
- Web Developer
- Software Development
- Python Developer
Python Developers often work server-side, either writing logic or developing the platform. Typically, they are responsible for deploying applications and working with development and design teams to build websites or applications that suit the user’s needs.
Python Developers also support Front-End Developers by integrating their work with the Python application.
Software Engineer Data Analyst
Data analysts collect, organize, and interpret data to create actionable insights. To accomplish this, Data Analysts must collect large amounts of data, sift through it, and assemble key sets of data based on the organization’s desired metrics or goals.
A Data Analyst uses Python libraries to carry out data analytics, parse data, analyze datasets, and create visualizations to communicate findings in a way that’s helpful to the organization.
- Data Scientist
- Machine Learning Engineer
- AI Engineer
- IoT Engineer
Who this Python course is designed for :
- Beginner Python developers curious about data science
- Who are interested in Python Language
- People who want to become a programmer in Python
- Python programming
- Data types and String formatting
- Python for data science
- Python mini-games for logic preparation
- Python basics with statements
- Python with sequences
- Django framework to create a simple eCommerce application
Python is a programming language that helps create GUI applications, websites, and web applications.
It's the most preferred language by programmers causes it's easy to learn. Taking care of common programming tasks will allow the developer to concentrate on the application's core functionality.
In addition to being commonly used for web applications. Python has become the most in-demand programming language for data scientists and developers working in fields such as artificial intelligence, data science, machine learning, web development, and data mining.
7 tips for beginners in a python programming language:
1. Learn the basics
Having a basic understanding of Python will pay off eventually.
- By understanding the fundamentals, you will be better prepared to understand more advanced concepts.
- Knowing Python's basics will help you to move on to learning data structures and algorithms with confidence.
- Despite its elevated level, Python is a simple language to learn and understand and can-do complex tasks.
- Both beginners and experienced programmers can receive help from its clean syntax.
Python may seem a bit complicated at first to someone who has never programmed. Keep in mind that everyone starts from the same point.
Be patient, you'll succeed!
2. Make a paper copy of your code
Programming can be learned most effectively by writing the code on paper.
- According to research, taking notes by hand is better than typing them on a computer.
- It is thus beneficial to write your code by hand to familiarize yourself with the syntax quickly.
- You might not even notice syntax errors in modern editors because they are automatically highlighted.
- Furthermore, concepts and key functions written in writing help in long-term memorization.
- Researchers Pam A. Mueller and Daniel M. Oppenheimer of the University of California, Los Angeles note in Psychological Science:
- There is a widespread practice of typing notes verbatim and trying to record as much information as possible from lectures.
As a result, students taking longhand notes were forced to be more selective - because typing is faster than writing.
They received help from the extra processing they were doing.
3. Practice
Having mastered the Python fundamentals, the next step is PRACTICE!
- To learn Python, you should code every day.
- By setting up consistency, you will gain a better understanding of Python.
- In Python, you solve a programming problem by writing a program.
- By practicing, you'll improve your problem-solving skills and gain exposure to a variety of applications and problems.
4. Contribute to open-source projects
A wonderful way to learn is to contribute to open-source code.
- Anyone can contribute to open-source software, which is publicly available.
- Additionally, it is a fantastic way to interact with others who share similar interests, as well as a terrific way to teach new things to the programming community.
- In addition to learning new concepts from others, interacting on a shared platform will allow you to interact and work with others.
You will learn how things work when you examine the source code. You will draw your own conclusions and practice by reading others' codes.
5. Enroll in our online course
You might find it difficult to learn a new programming language.
By helping you get started with your coding journey, online courses come to your rescue.
Coding courses provide you with in-depth information and teach you both basic and advanced concepts so you can master your skills.
6. Build Something, Anything
As a beginner, you will find many small exercises which will help you develop the muscle memory we discussed earlier while becoming more confident with Python. Then it's time to build! As soon as you understand basic data structures (strings, lists, dictionaries, sets), object-oriented programming, and writing classes, it's time to get to work!
It's not so important what you build as to how you build it. The building is truly the most important part of the journey.
By reading Real Python articles and courses, you can only learn so much. By using Python to build something, you will learn the most. The problems you will solve will be a great source of knowledge.
Python tutorial projects can be found on many lists. The following ideas will help you get started:
- Guess the number game
- Calculator app for Android
- Simulator for rolling dice
- Cryptocurrency Price Notification Service
7. Support open source
With open-source software, the source code is publicly available, and anyone can contribute.
Open-source Python libraries accept contributions. Many companies also make open-source projects available.
As a result, you can work with code that was written and produced by the engineers at these companies.
The experience of contributing to an open-source Python project is extremely valuable. In the case of submitting a bug fix request, you submit a "pull request" for the fix to be incorporated into the code.
Your work will then be reviewed by the project managers, who will provide comments and suggestions. Learning Python programming best practices and practicing communication with other developers will be possible through this course.
Take action and discover!
Your Python journey begins now that you've mastered these learning strategies! We offer a beginner’s level Python course, which uses interesting examples to help you learn programming and web development.
Our Python Certification program will help you to become a successful developer with practice. Python Course is for everyone who wants to learn a programming language in detail. If you are interested in learning the language Join Today.
Programmers use Python to create learning algorithms, build websites, perfect data algorithms, and find analytics solutions.
What you'll learn
- Python programming
- Data types and String formatting
- Python for data science
- Python mini games for logic preparation
- Python basics with statements
- Python with sequences
- django framework to create a simple eCommerce application
Requirements
- Beginner Python developers curious about data science
- Who are interested in Python Language
- People who want to become a programmer on Python
- Be able to read and write on computer system with internet access
- Interest to learn Python from scratch
Course Content
61 Lessons | 9:00 Total hours
Course Overview
-
Course Introduction
00:03:52 -
Course Curriculum Overview
00:10:19 -
Python What’s New
00:04:09
Python Environment Setup
-
Python Command Line Basics
00:06:11 -
Python Installation (Step by Step)
00:05:39 -
Pycharm-CE IDE Installation
00:05:35 -
Setting Up Environment
00:06:50 -
Running Python Code
00:09:57 -
Git and GitHub Overview
00:03:53
Python Object and Data Structures Basics
-
Python Data Types
00:08:38 -
Python Arithmetic Operators Numbers
00:12:11 -
Variable Assignments
00:15:16 -
Strings Introduction
00:05:36 -
Indexing and Slicing with Strings
00:08:20 -
String Properties and Methods
00:11:53 -
Print Formatting with Strings
00:06:57 -
Lists in Python
00:11:17 -
Dictionaries in python
00:06:31 -
Tuples in Python
00:09:07
Python Operators
-
Comparison Operators in Python
00:14:51 -
Logical Operators in Python
00:08:29
Python Statements
-
If Elif and Else Statements in Python
00:07:50 -
For Loops in Python
00:07:33 -
While Loops in Python
00:04:27
Methods and Functions
-
Functions in Python
00:06:48 -
Methods in Python
00:11:03 -
List Methods in Python
00:11:15 -
Nested Loop in Python
00:07:42 -
2D Lists using Nested Loop in Python
00:05:47 -
Object Oriented Programming – Polymorphism
00:10:47
Object Oriented Programming
-
Object Oriented Programming – introduction
00:11:17 -
Object Oriented Programming – Attributes and Class keyword
00:12:55 -
Object Oriented Programming – Class Object Attributes and Methods
00:10:48 -
Object Oriented Programming – Inheritance
00:09:42 -
Object Oriented Programming – Encapsulation
00:07:01
Modules and Packages
-
Pip Install and Pypi
00:06:20 -
Modules
00:08:29 -
Packages
00:08:57
Errors and Exception Handling
-
Errors and Exception Handling
00:09:39
Mini Projects
-
Guessing Game
00:06:20 -
Car Game
00:11:31 -
Dice Game
00:04:33 -
Card and Deck
00:07:06
Python Decorators
-
Python Decorators Introduction
00:06:03
Python Generators
-
Python Generators Introduction
00:05:56
Advanced Python Modules
-
Built-in Modules - random
00:05:43 -
Datetime
00:04:13 -
Timing your code – time it
00:06:04 -
Regular Expressions –re
00:09:05
Python Django Framework
-
Your First Django Project
00:11:37 -
First App
00:04:49 -
View Functions in Django
00:03:28 -
URL Mapping
00:13:33 -
Models
00:06:01 -
Migrations
00:10:24 -
Admin Panel
00:10:38 -
Customizing the Admin Panel
00:04:39 -
Templates
00:10:06 -
Adding Bootstrap
00:06:31 -
Rendering Bootstrap Cards
00:09:23 -
Navigation Bar
00:03:26
About the instructor
Sekhar Metla
Instructor
45 Courses
13+ Lesson
1260 Students enrolled
Sekhar Metla is a software engineer with 15 years of professional experience. He is the author of several best-selling TeacherDada courses with more than 26,000+ students in 192 countries. He has a Master of Science in Computer Applications as Software Engineering and is also Microsoft Certified Professional. His students describe him as passionate, pragmatic, and motivational in his teaching.