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Complete Python Tutorial For Beginners to Expert

Name: Complete Python Tutorial For Beginners to Expert
Rating: 4.6 (198 reviews)

Learn with 25 + Python Project and Bonus Numpy Tutorial

Created bySharad Khare

Last updated 11/2023

Hindi

What you'll learn

Python Syntax, comments, datatypes, variables, numbers, casting, strings, booleans, operators, list, tuples, sets, dictionary
if...else, while loop, for loop, functions, lambda, array, classes, objects, inheritance, iterators, scope, modules, dates, maths, json
regex, pip, try...except, user input, string formating, rapid prototyping, or for production-ready software development,
More than 15 Live Projects

Course content

6 sections • 113 lectures • 38h 43m total length

Why you should Learn Python13:11
Visual Studio Code installation tutorial14:16
To install Visual Studio Code (VSCode) with Python support, follow these steps:

1. **Download Visual Studio Code**:
Visit the official Visual Studio Code website at https://code.visualstudio.com/ and download the installer suitable for your operating system (Windows, macOS, or Linux).

2. **Install Visual Studio Code**:
Once the download is complete, run the installer and follow the on-screen instructions to install Visual Studio Code on your computer.

3. **Install Python Extension**:
Visual Studio Code has a vast extension marketplace that allows you to enhance its functionality. To work with Python, you need to install the Python extension. Here's how:

- Launch Visual Studio Code.
- Go to the Extensions view by clicking the square icon on the sidebar or using the shortcut `Ctrl+Shift+X` (Windows/Linux) or `Cmd+Shift+X` (macOS).
- In the search bar, type "Python".
- Look for the official Python extension provided by Microsoft and click the "Install" button.

4. **Configure Python Interpreter**:
After installing the Python extension, you'll need to configure the Python interpreter that you want to use. Here's how:

- Open a Python file (or create a new one).
- At the bottom-right corner of the VSCode window, you'll see the current selected interpreter (e.g., "Select Python Interpreter").
- Click on it, and a list of available Python interpreters will appear.
- Choose the interpreter you want to use (usually the one you have installed on your system). If it's not listed, you might need to manually specify the interpreter path.

5. **Create and Run Python Files**:
With the Python extension installed and the interpreter configured, you can start creating and running Python files:

- Create a new Python file by clicking on the "New File" button or using the `Ctrl+N` (Windows/Linux) or `Cmd+N` (macOS) shortcut. Save the file with the `.py` extension.
- Write your Python code in the file.
- To run the code, you can right-click within the editor and select "Run Python File in Terminal" or use the shortcut `Ctrl+F5` (Windows/Linux) or `Cmd+Fn+F5` (macOS).
- Output will be displayed in the integrated terminal at the bottom of the VSCode window.

That's it! You now have Visual Studio Code installed with Python support. You can explore more features and extensions to enhance your coding experience further.
Ask Anything, Any Time0:28
Variables in Python36:55
Assign Multiple Values in Variable17:50
Assign Global Variables in Python13:35
What are the Data Types in Python29:21
Numeric Data Types in Python26:32
Using Strings in Python44:54
Using Strings in Python Part 235:54
Using Python Operators42:02
Using Lists in Python53:40
Add & Remove List Item in Python21:59
Loop Through a List in Python36:06
Sort, Copy & Join List in Python30:59
Using Tuple in Python1:04:23
How to Loop Tuple in Python12:40
How to Join Tuple in Python8:32
Using Sets in Python1:02:49
Using Dictionary in Python41:19
Access Dictionary in Python22:59
Practice Test 1
How to Loop Dictionary in Python34:57
If Else & Elif statement in Python45:14
While Loop in Python17:58
Learn For Loop in Python41:16
Functions & Arguments in Python50:11
Lambda Function in Python16:54
Arrays in Python19:31
Classes and Objects in Python42:45
Inheritance in Python33:31
Iterators in Python32:53
Local and Global scope in Python26:13
Using Module in Python30:56
Using Datetime Module in Python29:36
Built-in Math Function in Python16:18
JSON - JavaScript Object Notation in Python37:19
RegEx - Regular Expression in Python39:35
Try Except Else Finally Exceptions in Python27:07
How to Open, Read and Close File in Python19:30
How to Write, Append & Delete File in Python20:06
Practise Test 2
Python Assignment Practice Paper
Ask Anything Any Time0:28

Introduction to Numpy - Numerical Python24:07
NumPy - Creating Arrays with Dimensions31:12
NumPy - Indexing, Accessing Array Element18:38
NumPy Array Slicing36:09
NumPy Data Types26:02
NumPy Array Copy and View10:47
NumPy Array Shape11:57
NumPy Array Reshaping29:00
NumPy Array Iterating26:49
NumPy Joining Array20:00
NumPy Splitting Array20:53
NumPy Searching Array21:47
NumPy Sorting Array9:08
NumPy Filter Array28:34
NumPy Random Numbers23:49
NumPy Random Data Distribution17:05
NumPy Random Permutation & Shuffling11:02
NumPy Seaborn18:59
NumPy Normal (Gaussian) Distribution16:51
NumPy Binomial Distribution21:12
NumPy Poisson Distribution15:04
NumPy Uniform Distribution7:11
NumPy Logistic Distribution10:30
NumPy Multinomial Distribution10:59
NumPy Exponential Distribution9:39
NumPy Chi Square Distribution7:21
NumPy Rayleigh Distribution9:32
NumPy Pareto Distribution7:13
NumPy Zipf Distribution11:18
NumPy ufuncs11:30
NumPy Create Your Own ufunc16:19
NumPy Arithmetic ufunc22:20
NumPy Rounding Decimals16:30
NumPy Summations & Cumulative Sum13:37
NumPy Products & Cumulative Product13:47
NumPy Differences6:46
NumPy LCM Lowest Common Multiple14:40
NumPy GCD or HCF9:30
NumPy Trigonometric Functions32:27
NumPy Hyperbolic Functions13:49
NumPy Tutorial ufuncs Set Operations21:23
NumPy Quiz
Ask Anything Any TIme0:28

Download Notes and Codes of the Tutorial0:05
Install Anaconda along with Jupyter Notebook7:04
To install Anaconda along with Jupyter Notebook, you can follow these steps:

1. **Download Anaconda:**
Visit the Anaconda website (https://www.anaconda.com/products/distribution) and download the appropriate version of Anaconda for your operating system (Windows, macOS, or Linux). Choose the Python 3.x version, as it's the latest.

2. **Install Anaconda:**
Follow the installation instructions for your operating system. The installation process usually involves running an installer executable. During installation, you can choose whether to add Anaconda to your system's PATH variable (recommended) and whether to make Anaconda your default Python distribution.

3. **Open a Terminal (Linux/macOS) or Anaconda Prompt (Windows):**
After installation, open a terminal (Linux/macOS) or Anaconda Prompt (Windows) from your Start Menu.

4. **Create and Activate a New Environment (Optional, but recommended):**
Creating a separate environment can help manage your projects and dependencies better. You can create a new environment with a specific version of Python using the following command:

```
conda create -n myenv python=3.8
```

Replace `myenv` with the desired environment name and `3.8` with the desired Python version.

Activate the environment using:

- On Windows:
```
conda activate myenv
```

- On Linux/macOS:
```
source activate myenv
```

5. **Install Jupyter Notebook:**
Once you've activated your environment (or if you're using the base environment), you can install Jupyter Notebook using the following command:

```
conda install jupyter
```

6. **Launch Jupyter Notebook:**
After installing Jupyter Notebook, you can launch it by running:

```
jupyter notebook
```

This will open a new tab in your web browser displaying the Jupyter Notebook interface.

7. **Create a New Notebook:**
In the Jupyter Notebook interface, you can click the "New" button and choose "Python 3" to create a new Python notebook. You can now start writing and running code in your notebook.

Remember that you should create a new notebook for each project or task to keep things organized.

By following these steps, you will have Anaconda installed along with Jupyter Notebook, allowing you to easily manage Python environments and work with Jupyter notebooks for data analysis, coding, and more.

Create a Calculator GUI with Python39:43
Create a Digital Clock with Python Programming18:51
Create a Random Story Generator with Python18:06
Create an OTP Verification System using Python22:37
Create Chessboard with Python22:12
How to get Live Stock Price Data with Python30:56
How to Create Email Slicer with Python Programming11:59
Python Program to Check if a Number is Odd or Even7:02
Print Colored Text with Python using Colorama12:57
Python Program to Add Two Matrices16:03
Python Program to Check the File Size5:53
Python Program to Check if a Number is Positive, Negative or 08:51
Python Program to Create a Countdown Timer9:53
Python Program to Extract Extension From the File Name8:44
Python Program to Find Hash of File16:22
Python Program to Find the Largest Among Three Numbers7:35
Python Program to Find the Size (Resolution) of a Image16:02
Python Program to Make a Simple Calculator25:29
Python Program to Generate QR Codes11:08
Python Program to Generate Random Password9:58
Python Program to Get Line Count of a File8:45
Python Program to Merge Two Dictionaries12:39
Python Program to Reverse a Number11:56
Python Program to Sort Words in Alphabetic Order8:35
Python Program for Spelling Correction13:09
Web Scraper with Python By Datacodewithsharad21:57

Requirements

No Prior Programming Experience: Python is a great language for beginners, so no previous programming knowledge is required.
Computer Literacy: Learners should be comfortable using a computer, browsing the internet, and managing files.
Hardware Requirements: Learners need a computer or laptop with internet access to download Python and access learning materials.

Description

Join us on a journey into the world of programming with our Comprehensive Python Programming Course! Whether you're new to coding or already familiar with programming concepts, this course offers a solid curriculum that covers everything you need to know about Python.

Course Overview:

In this course, we'll delve deep into Python, exploring each essential concept and technique to give you a strong programming foundation. From basic syntax to advanced topics, you'll gain a comprehensive understanding of Python's capabilities and applications.

Course Contents:

1. Introduction to Python: Begin with Python's syntax, data types, and fundamental programming concepts.

2. Comments and Documentation: Learn to add comments to code and create thorough project documentation.

3. Working with Data: Explore variables, numbers, type casting, strings, and boolean operations for effective data manipulation.

4. Operators and Expressions: Master Python's various operators and create complex expressions for calculations and comparisons.

5. Data Collections: Dive into vital data structures like lists, tuples, sets, and dictionaries for organizing data.

6. Control Flow: Understand conditional statements (if...else) and loops (while and for) to control program flow.

7. Functions and Lambdas: Learn to define and use functions, including lambda functions, for efficient code.

8. Object-Oriented Programming (OOP): Explore OOP principles, including classes, objects, inheritance, and polymorphism.

9. Advanced Topics: Delve into iterators, scope, modules, dates, mathematical operations, JSON, and regular expressions.

10. Package Management: Discover the power of pip, the package installer, for incorporating external libraries.

11. Error Handling: Master error management using try...except blocks for robust applications.

12. User Interaction: Learn to gather user input for interactive programs.

13. String Formatting: Explore methods of formatting strings for clear output.

14. Project Development: Engage in over 15 real-life projects to apply knowledge to practical problems.

15. Software Development Strategies: Gain insights into rapid prototyping and creating production-ready software.

Why Enroll?

By course end, you'll confidently tackle programming challenges using Python. Our comprehensive curriculum, hands-on projects, and practical approach ensure you grasp and apply concepts effectively.

Who Should Take This Course?

- Beginners starting programming from scratch

- Individuals adding Python to their skillset

- Programmers transitioning to Python from other languages

Instructor Support:

Our experienced instructors provide guidance, clear doubts, and offer insights for your success in mastering Python.

Whether you're building a strong programming foundation, practical applications, or preparing for a software development career, our Comprehensive Python Programming Course opens the door to success. Enroll now and unlock Python's power!

Who this course is for:

Python is one of the most loved programming languages by developers, data scientists, software engineers, and even hackers because of its versatility, flexibility, and object-oriented features.
For anyone looking to switch careers into the tech world through coding
Anyone interested in programming, regardless of their background, can learn a Python course.
Beginners seeking to acquire programming skills, students, and professionals like software developers or data analysts can benefit from learning Python.

Complete Python Tutorial For Beginners to Expert

What you'll learn

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Course content