Python Tutorial

Introduction Python Features Python Applications System requirements for Python Python Installation Python Examples Python Basics Python Indentation Python Variables Python Data Types Python IDE Python Keywords Python Operators Python Comments Python Pass Statement

Python Conditional Statements

Python if Statement Python elif Statement Python If-else statement Python Switch Case

Python Loops

Python for loop Python while loop Python Break Statement Python Continue Statement Python Goto Statement

Python Arrays

Python Array Python Matrix

Python Strings

Python Strings Python Regex

Python Built-in Data Structure

Python Lists Python Tuples Python Lists vs Tuples Python Dictionary Python Sets

Python Functions

Python Function Python min() function Python max() function Python User-define Functions Python Built-in Functions Python Recursion Anonymous/Lambda Function in Python python apply() Function Python lambda() Function

Python File Handling

Python File Handling Python Read CSV Python Write CSV Python Read Excel Python Write Excel Python Read Text File Python Write Text File Read JSON File in Python

Python Exception Handling

Python Exception Handling Python Errors and exceptions Python Assert

Python OOPs Concept

OOPs Concepts in Python Classes & Objects in Python Inheritance in Python Polymorphism in Python Python Encapsulation Python Constructor Python Super function Python Static Method Static Variables in Python Abstraction in Python

Python Iterators

Iterators in Python Yield Statement In Python

Python Generators

Python Generator

Python Decorators

Python Decorator

Python Functions and Methods

Python Built-in Functions Python String Methods Python List Methods Python Dictionary Methods Python Tuple Methods Python Set Methods

Python Modules

Python Modules Python Datetime Module Python Math Module Python Import Module Python Time Module Python Random Module Python Calendar Module CSV Module in Python Python Subprocess Module Python Subprocess

Python MySQL

Python MySQL Python MySQL Client Update Operation Delete Operation Database Connection Creating new Database using Python MySQL Creating Tables Performing Transactions

Python MongoDB

Python MongoDB

Python SQLite

Python SQLite

Python Data Structure Implementation

Python Stack Python Queue Python Linked List Python Hash Table Python Graph

Python Advance Topics

Speech Recognition in Python Face Recognition in Python Python Linear regression Python Rest API Python Command Line Arguments Python JSON Python Virtual Environment Type Casting in Python Python Collections Python Commands Python Data Visualization Python Debugger Python DefaultDict Python Enumerate

Python 3

Anaconda in Python 3 Anaconda python 3 installation for windows 10 List Comprehension in Python3

Misc

Python PPTX Python Pickle Python Seaborn Python Coroutine Python EOL Python Infinity Python math.cos and math.acos function Python Project Ideas Based On Django Reverse a String in Python Reverse a Number in Python Python Word Tokenizer Python Trigonometric Functions Python try catch exception GUI Calculator in Python Implementing geometric shapes into the game in python Installing Packages in Python Python Try Except Python Sending Email Socket Programming in Python Python CGI Programming Python Data Structures Python abstract class Python Compiler Python K-Means Clustering NSE Tools In Python Operator Module In Python Palindrome In Python Permutations in Python Pillow Python introduction and setup Python Functionalities of Pillow Module Python Argmin Python whois Python JSON Schema Python lock Return Statement In Python Reverse a sentence In Python tell() function in Python Why learn Python? Write Dictionary to CSV in Python Write a String in Python Binary Search Visualization using Pygame in Python Latest Project Ideas using Python 2022 Closest Pair of Points in Python ComboBox in Python Python vs R Best resources to learn Numpy and Pandas in python Check Letter in a String Python Python Console Python Control Statements Convert Float to Int in Python using Pandas Difference between python list and tuple Importing Numpy in Pycharm Python Key Error Python NewLine Python tokens and character set Python Strong Number any() Keyword in python Best Database in Python Check whether dir is empty or not in python Comments in the Python Programming Language Convert int to Float in Python using Pandas Decision Tree Classification in Python End Parameter in python __GETITEM__ and __SETITEM__ in Python Python Namespace Python GUI Programming List Assignment Index out of Range in Python List Iteration in Python List Index out of Range Python for Loop List Subtract in Python Python Empty Tuple Python Escape Characters Sentence to python vector Slicing of a String in Python Executing Shell Commands in Python Genetic Algorithm in python Get index of element in array in python Looping through Data Frame in Python Syntax of Map function in Python After Python What Should I Learn Python AIOHTTP Alexa Python Artificial intelligence mini projects ideas in python Artificial intelligence mini projects with source code in Python Find whether the given stringnumber is palindrome or not First Unique Character in a String Python Python Network Programming Python Interface Python Multithreading Python Interpreter Data Distribution in python Flutter with tensor flow in python Front end in python Iterate a Dictionary in Python Iterate a Dictionary in Python – Part 2 Allocate a minimum number of pages in python Assertion Errors and Attribute Errors in Python Checking whether a String Contains a Set of Characters in python Python Control Flow Statements *Args and **Kwargs in Python Bar Plot in Python Conditional Expressions in Python Function annotations() in Python How to Write a Configuration file in Python Image to Text in python import() Function in Python Import py file in Python Multiple Linear Regression using Python Nested Tuple in Python Python String Negative Indexing Reading a File Line by Line in Python Python Comment Block Base Case in Recursive function python ER diagram of the Bank Management System in python Image to NumPy Arrays in Python NOT IN operator in Python One Liner If-Else Statements in Python Sklearn in Python Python Ternary Operators Self in Python Python vs Java Python Modulo Python Packages Python Syntax Python Uses Python Bitwise Operators Python Identifiers Python Matrix Multiplication Python AND Operator Python Logical Operators Python Multiprocessing Python Unit Testing __init__ in Python Advantages of Python Is Python Case-sensitive when Dealing with Identifiers Python Boolean Python Call Function Python History Python Image Processing Python main() function Python Permutations and Combinations Difference between Input() and raw_input() functions in Python Conditional Statements in python Confusion Matrix Visualization Python Python Algorithms Python Modules List Difference between Python 2 and Python 3 Is Python Case Sensitive Method Overloading in Python Python Arithmetic Operators Assignment Operators in Python Is Python Object Oriented Programming language Division in Python Python exit commands Continue And Pass Statements In Python Colors In Python Convert String Into Int In Python Convert String To Binary In Python Convert Uppercase To Lowercase In Python Convert XML To JSON In Python Converting Set To List In Python Covariance In Python CSV Module In Python Decision Tree In Python Difference Between Yield And Return In Python Dynamic Typing In Python

How to

How to Substring a String in Python How to Iterate through a Dictionary in Python How to convert integer to float in Python How to reverse a string in Python How to take input in Python How to install Python in Windows How to install Python in Ubuntu How to install PIP in Python How to call a function in Python How to download Python How to comment multiple lines in Python How to create a file in Python How to create a list in Python How to declare array in Python How to clear screen in Python How to convert string to list in Python How to take multiple inputs in Python How to write a program in Python How to compare two strings in Python How to create a dictionary in Python How to create an array in Python How to update Python How to compare two lists in Python How to concatenate two strings in Python How to print pattern in Python How to check data type in python How to slice a list in python How to implement classifiers in Python How To Print Colored Text in Python How to develop a game in python How to print in same line in python How to create a class in python How to find square root in python How to import numy in python How to import pandas in python How to uninstall python How to upgrade PIP in python How to append a string in python How to open a file in python How to Open a file in python with Path How to run a Python file in CMD How to change the names of Columns in Python How to Concat two Dataframes in Python How to Iterate a List in Python How to learn python Online How to Make an App with Python

Sorting

Python Sort List Sort Dictionary in Python Python sort() function Python Bubble Sort

Programs

Factorial Program in Python Prime Number Program in Python Fibonacci Series Program in Python Leap Year Program in Python Palindrome Program in Python Check Palindrome In Python Calculator Program in Python Armstrong Number Program in Python Python Program to add two numbers Anagram Program in Python Even Odd Program in Python GCD Program in Python Python Exit Program Python Program to check Leap Year Operator Overloading in Python Pointers in Python Python Not Equal Operator Raise Exception in Python Salary of Python Developers in India What is a Script in Python

Anaconda in Python 3

What is Anaconda in Python 3?

Anaconda is an open-source package combining Python and R programming languages used for data analytics and processing data. It consists of a huge number of libraries and packages. Anaconda is managed by a package management system called CONDA. Open-source packages can be individually installed from the Anaconda repository, Anaconda Cloud (anaconda.org), or the user's private repository or mirror, using the conda install command.

Anaconda, Inc. compiles and builds the packages available in the Anaconda repository and provides binaries for Windows 32/64 bit, Linux 64-bit and macOS 64-bit. Anything available on PyPI may be installed into a conda environment using pip, and conda will keep track of what it has installed itself and what pip has installed.

What is Anaconda in Python 3

Uses of Anaconda

  1. It is free to use because it is open-source.
  2. It makes deployment and package management simpler.
  3. To easily collect data from sources utilising machine learning and AI, there are various solutions accessible.
  4. It is a setting where deployment for any project can be easily managed.

Miniconda: Miniconda is a combination of Conda and Python.

Differences between Anaconda and Miniconda

1. Miniconda has a command-line interface, and Anaconda works with a graphical user interface.

2. Anaconda has 200 packages in-built, and miniconda has a limited number.

Installation and setup of Anaconda

What is Anaconda in Python 3
  • Select the appropriate version depending upon the software specifications of the computer.
What is Anaconda in Python 3
  •  Follow the setup instructions. Click on the Next.
What is Anaconda in Python 3
What is Anaconda in Python 3
What is Anaconda in Python 3
  • Open the application
What is Anaconda in Python 3
  • After installation, try to run a small program to check the installation.
What is Anaconda in Python 3

Installation of libraries

After running the program, try to install libraries into Anaconda. To install the libraries, use the command

"pip install library name"

 in the anaconda command prompt.

Different applications in Anaconda are

  • PyCharm
  • Jupyter Lab
  • Jupyter notebook
  • Spyder IDE
  • VS Code

Anaconda navigator

This is a Graphical user interface that helps in handling the Anaconda applications without the help of command lines.

By using Navigator, we can find the packages, install them into our environment, and run them.

The Navigator consists of the following pages:

Home Page

In the home tab, we can see all the top applications pre-installed in Anaconda or downloaded from there.

Environment Page

It is used to manage pre-installed environments and channels. We can also search the environments that are installed on the computer.

Learning Page

Using the learning tab, we can learn more about Anaconda and libraries in Python used for data analytics.

Community Page

In the community tab, we can learn more about events related to the Navigator.

System Requirements

  • Windows 8 or new version, 32 and 64 bit.
  • macOS 10.13+, 64-bit
  • Ubuntu 14+/ Centos7+, 64-bit

Normally in an anaconda, the Navigator is pre-installed, but if we use a miniconda, we must install the Navigator.

We should use the command.

" conda install anaconda- navigator" to install it.

To uninstall it, we should use the command.

" conda remove anaconda- navigator".

Managing Environments

Using the Anaconda navigator, we can create an environment that does not interact with other environments.

Steps to create a new environment

  • Click the environment tab from Navigator.
  • Give JavaTpoint in the name field, select the language Python or R, and click the create button.

Suppose you want to install some specified version of Python into the installed environment. In that case, we can specify it, or else the Python version we have installed in Anaconda gets installed.

Managing Packages

In Anaconda, we can see the installed packages in certain environments. We can also install packages into the environment.

Jupyter Notebook

Jupyter notebook is used for creating notebooks. Files will be saved in .ipynb format. It is a way to run code interactively within a web browser.

It is prepared by using several libraries like

  1. IPython
  2. jQuery
  3. MathJax
  4. Bootstrap

Jupyter Lab

Jupyter Lab is a web-based user interface for Projects. It is the next level for the Jupyter notebook.

Advantages

  1. We can do everything on a single platform.
  2. Cells can be rearranged easily.
  3. Easy to use

Spyder

Spyder is one of the important features of an anaconda. Spyder is a free source IDE platform that is written completely in Python.

Features of Spyder

1. Syntax Highlighting with Variables

2. Breakpoints are available

3. Interactive execution allows you to run a file or cell.

Orange

Orange is a data visualisation toolkit that is open source

Features

1. SQL data can be stored in the database server.

2. Color the data.

3. Data processing

Pycharm

PyCharm is a platform with Windows, Mac, and Linux versions. It is used as a graphical debugger and supports web development.

Features

1. Easy to code

2. Web frameworks are supported.

3. Games can be developed using Pycharm

VS Code

VS Code stands for visual studio code. VS code consists of JavaScript, node js, and typescript.

Uses of vs code

  • Memory leakage is less compared to other platforms.
  • Cross-Platform
  • Easy to use
  • Easy to import libraries.



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