Did you realize that there are over 300,000+ Python-related job opportunities in the United States of America? A mid-level Python developer can earn upwards of $120,000 a year. Moreover, Python developers focusing on data science and machine learning can expect to make between $130,000 and $165,000 annually. Believe it or not, a senior-level Python engineer specializing in Big Data and AI solutions can command salaries exceeding $180,000 yearly.
Do you aspire to be a Python developer? Or perhaps you’re drawn towards data science, web development, or automation with Python? If you want to become a machine learning expert or Artificial intelligence (AI) expert, Python Guides is the solution for learning Python from beginner to advanced level.
From the basics to advanced concepts, PythonGuides got you covered on what it takes to master Python, Machine learning, or AI.
According to various surveys, Python is one of the most popular programming languages in the world. Learning Python is easy. I have written a series of detailed articles you can follow to Learn Python from beginner to advanced free. Whether you are a beginner or an expert in Python, PythonGuides.com has some Python tutorials to learn.
Python is one of the easy-to-use programming languages to learn if you are a beginner to programming. All our Python tutorials are detailed and cover multiple practical examples.
If you do not have any programming knowledge, do not worry. Also, if you are thinking, Is it hard to learn Python? No, it is not; it is easy to learn Python. Just follow our step-by-step Python tutorials. Learn Python free!
What do you require to become a Python Developer?
The first thing you need to become a Python developer is to understand the essentials of Python, starting with what Python is. Then, you might consider learning why many industries and individuals prefer Python. Grasp its advantages and the myriad ways organizations and developers can leverage Python.
What is Python?
Python is a versatile programming language developed by Guido van Rossum. Many organizations and individuals use Python for various tasks, from web development to data analysis to artificial intelligence. Its simple syntax makes it accessible to beginners, yet its robust libraries and frameworks cater to the needs of experienced developers.
Most importantly, Python is open-source, which means you can use and modify it freely, and it’s supported by a vast community worldwide.
What is Python used for?
Python’s broad range of applications and ease of learning make it an invaluable tool in the modern development landscape. Whether diving into data science, designing a new website, or automating tedious tasks, Python offers the tools and libraries to meet your needs.
Here are several reasons why Python is highly regarded.
- Versatility and Simplicity: Python is recognized for its simplicity and readability, making it an ideal choice for beginners. Its syntax closely resembles the English language, which allows developers to write programs with fewer lines of code.
- Web Development: Through frameworks like Django and Flask, Python makes designing and deploying web applications easy. You can create robust and scalable web platforms, from simple blogs to complex e-commerce sites.
- Data Analysis and Visualization: With libraries like Pandas and Matplotlib, you can process, analyze, and visualize datasets effectively. Whether it’s financial data or user statistics, Python helps simplify the complexities.
- Machine Learning and AI: Python’s Scikit-learn and TensorFlow libraries are at the forefront of machine learning and artificial intelligence, enabling developers to create predictive models and neural networks.
- Automation: Python scripts can be written to automate repetitive tasks. From sending emails to managing files, Python saves time and boosts productivity.
- Game Development: With the Pygame library, aspiring game developers can design and launch their games.
- Integration: Python can integrate with other languages and platforms with ease. It offers various interfaces for all major databases, ensuring data connectivity.
- Cybersecurity: Python is also popular in cybersecurity, allowing professionals to perform penetration testing and other security checks.
- Use with Other Platforms: Python seamlessly interacts with other platforms and technologies:
- Jupyter Notebook: A tool popular among data scientists for creating and sharing documents containing live code, equations, visualizations, and explanatory text.
- Docker: Create and manage containers for your Python applications, ensuring consistency across various deployment environments.
- Git/GitHub: Version control and collaborative code repositories are simplified, ensuring smooth team collaborations.
- CI/CD Pipelines: Automate your development workflows by integrating Python with tools like Jenkins or GitHub Actions.
- Portable & Extendable: Python is platform-independent, meaning a Python program written on a Mac will run on Windows or Linux without any modifications. Plus, it can be extended to other languages, like C or C++.
- Community Support: Python boasts a vast and active community, ensuring continuous improvements, abundant resources, and extensive libraries for various needs.
- Python on Mobile: While not as common as other uses, Python can be used for mobile app development using frameworks like Kivy, which allows apps to be built for iOS and Android.
If you’re new to coding, there’s no need for concern. Wondering if Python is challenging to pick up? Rest assured, it’s one of the more accessible languages out there. Dive into our detailed Python guides, and you’ll be coding in no time—all without spending a dime!
Learn Python Basics
Embarking on your Python programming journey necessitates a few fundamental steps to set up your development environment.
First and foremost, downloading and installing Python is paramount. Opt for the latest version from the official website to ensure you benefit from recent updates and improvements. Once Python is up and running on your machine, the next step is to select an appropriate code editor or integrated development environment (IDE) tailored for Python development.
Popular choices include VS Code, PyCharm, and Atom, each boasting features that enhance code writing and debugging. With Python and your chosen editor in place, you’re all set to write your inaugural Python script.
Begin with the classic Print “Hello World” program in Python: Seeing this greeting materialize in your console marks the exhilarating start of countless future Python projects.
Python, celebrated for its straightforward syntax and remarkable readability, offers an inviting platform for novices. You’ll find integral data types and variables at the cornerstone of Python basics, such as integers, float, strings, lists, dictionaries, etc.
Diving deeper, control structures like loops and conditional statements become pivotal in crafting logical sequences in code. Functions and modules introduce a modular approach to coding, promoting reuse and organization.
Engaging with Python also means understanding vital operations such as user input, display output, managing files, finding errors, and exception handling. Python also has classes, interfaces, access modifiers, and oops concepts, and some advanced frameworks in Python like NumPy, Pandas, Scikit Learn, Matportlib, Tkinter, Scipy, Django, Turtle, etc.
Understanding the concept of a variable is fundamental not just for a Python developer but for anyone delving into programming. It is essential to know what a variable is when becoming a Python developer: A variable is one of the most basic building blocks in programming. It allows a developer to store and manipulate data, which is crucial for any application.
Variables represent memory allocations in a computer’s RAM. Knowing how variables work will help you manage memory effectively, leading to efficient and fast programs. Understanding variables helps comprehend the flow of execution in a program, especially when operations are performed on or with those variables.
PythonGuides contains many different articles related to variables in Python, such as:
|Variable in Python
|This Python tutorial explains what a Variable in Python is.
|Check if a variable is None in Python
|When a variable is assigned the value None, it means that the variable doesn’t currently reference any object or value.
|Check if the variable exists in Python
|Learn how to verify a variable present to avoid reassigning pre-existing variables or errors.
|Check if a variable is a number in Python
|Learn how to verify the variable type (Number: integer, float, decimal) present in Python.
|Python write variable to file
|Learn how to store data in the form of variables in a file through Python.
|Add two variables in Python
|Learn how to do arithmetical operations with variables in Python.
Many different data types in Python can be stored in Python variables, Let’s see them one by one:
Understanding strings is crucial for a Python developer and any programmer in general for several reasons: Strings are one of the most basic and commonly used data types in Python. They are used to represent and manipulate textual data, which is prevalent in various types of software applications.
Textual data is everywhere – from user inputs and file contents to network communication and database records. No matter what domain or application you’re working on, you’ll almost always need to process strings somehow. Many common tasks, such as parsing, require knowledge of string manipulation techniques. Knowing how to search, replace, split, concatenate, and otherwise manipulate strings is essential.
A string in Python is a sequence of characters enclosed within single, double, or triple quotes. PythonGuides has many articles related to strings in Python.
There are many different operations present for Python strings in PythonGuides. They are:
|Learn what is a string in Python.
|Create a string in Python
|Learn how to create a string in Python.
|Create a String of N Characters in Python
|Learn how to create a string with n numbers of characters in Python.
|Create a String with Variables in Python
|Learn how to create a string with many different Variables in Python.
|Remove Newlines from a String in Python
|Learn how to remove a new line from a string in Python so that all of the characters are in the same line.
|Create a String with Newline in Python
|Learn how to create a string with a newline character in Python so that all of the characters are in a different line.
|Create String with Single Quotes in Python
|Learn how to create a string with single quotes in Python.
|Create a String with Double Quotes in Python
|Learn how to create a string with double quotes in Python.
|Create a String of the Same Character in Python
|Learn how to create a string of the same characters in Python.
|Add characters to an empty string in Python
|Learn how to add characters to an empty string in Python using different methods.
|String slicing in Python
|Learn what is string slicing is in Python.
|Create a String of the Same Character in Python
|Learn how to create a string with the same characters in Python.
|Remove a specific character from a string in Python
|Learn how to remove a specific character from a string in Python.
|Remove the last character from a string in Python
|Learn how to remove the last character from a Python string without any error.
|Check if a string is empty in Python
|Learn how to check if a string is empty in Python with different methods.
|Python splits a string by space
|Learn how to separate a string with space in Python
|Split a String Using Regex in Python
|Learn how to separate a string using Regex in Python
|Trim Whitespace from a String in Python
|Learn how to cut a Python string into two with space in between
|String Comparison in Python
|Learn how to compare two Python strings using different methods.
|Python String Concatenation
|Learn what string concatenation is in Python and how it is done.
|Reverse a string in Python
|Learn how to reverse a Python string using different methods.
|Python String methods
|To learn different in-built methods for the string in Python.
|Capitalize function in Python string
|The string center() method is a built-in Python method that allows us to “center” a string within a specific width, padding it with a specified character.
|Count function in Python string
|The count() function in Python string is a built-in method that helps to determine the frequency of a specified element within a given object.
|Find function in Python string
|The find() method is an inbuilt function that returns the index position of the first occurrence of the specified value or substring in a string.
|Lower function in Python string
|The lower() function is a built-in string method that converts all uppercase characters in a string to lowercase.
|Strip function in Python string
|The strip function is a built-in method used to remove leading (at the beginning) and trailing (at the end) whitespace characters, such as spaces, tabs, and newline characters, from a Python string.
|Upper function in Python string
|The upper() function is a built-in string method used to convert all the lowercase characters in a string to uppercase.
|Isdigit method in String Python
|The isdigit() method is a built-in function in Python that checks if all the characters in a given string are digits.
|Isidentifier method in String Python
|The string isidentifier method is a built-in string method that checks whether the given string is a valid identifier according to Python’s rules.
|Isalpha method in Python string
|The isalpha() method is a built-in method in Python string that checks whether all the characters in the given string are alphabets.
|Endswith function in Python string
|The endswith() method returns True if the string ends with the specified value; otherwise False.
|Expandtabs method in Python string
|The expandtabs() method is a built-in function used to set the tab size of the string, i.e., to replace the tab character (\t) with the appropriate number of spaces.
|Index method in Python string
|The index() method in Python is a string method that is used to find the position of a substring within a string.
Numeric Data Type in Python
Understanding data types, including the numeric data type, is fundamental for anyone aiming to be proficient in Python or any programming language. The numeric data type in Python is essential: Numeric data types (like int for integers and float for floating-point numbers) are among Python’s most basic data types. They are building blocks for more complex structures and operations.
Some operations are specific to certain types. For instance, you can’t use certain math functions designed for floating-point numbers on integers without first converting them.
Some articles on Python numeric data type in PythonGuides are:
|Python checks if a variable is an integer
|Learn how to check if the variable is an integer in Python.
|Convert an integer to a string in Python
|Learn how to convert an integer to a string in Python using different methods.
|Add two complex numbers in Python
|Learn how to do mathematical operations like the addition of two complex numbers in Python.
|Add two binary numbers in Python
|Learn how to do mathematical operations like the addition of two binary numbers in Python.
|Convert an integer to a string
|Learn how to convert an integer to a string in Python using different methods.
|Convert float to int Python
|Learn how to change the type of data like, from float to int in Python.
|Min() Function in Python
|Learn how to find the minimum value between some groups of numbers in Python.
|Max() function in Python
|Learn how to find the maximum value between some groups of numbers in Python.
|Add zeros before a number in Python
|Learn how to add any character(0) before a number in Python.
|Convert string with comma to float in Python
|Learn how to convert a string with commas to a float in Python without any error.
|Complex Numbers in Python
|Learn what is a complex number in Python and how it is written and created in Python.
|Add two complex numbers in Python
|Learn how to add two different complex numbers in Python using different methods.
List in Python
Lists are one of the fundamental built-in data structures in Python. They provide a way to store, access, and modify ordered collections of items. Almost any program you write will involve some data collection, and lists are often the most straightforward way to handle that data.
Lists in Python can hold a mix of data types, can be nested, and are mutable, meaning their contents can be changed after they’re created.
There are many built-in methods for lists that help in tasks such as adding/removing elements, finding the index of an item, and reversing the order. Knowing these methods can save a developer a lot of time and make code more readable.
|Python list methods
|Learn Python list in-built function.
|Check if a list exists in another list in Python
|Learn how to check if a list exists in another Python list. i.e., check if all the elements of one list are present in another Python list.
|Add Elements in List in Python Using For Loop
|Learn how to add some elements to a list using a for loop in Python.
|Append String to Beginning Of List Python
|Learn how to append any elements to the beginning of the Python list.
|Append multiple items to list Python
|Learn how to append or add multiple elements/items in the Python list.
|Concatenate two lists in Python
|Learn how to concatenate two lists in Python using 7 different methods.
|Concatenate multiple lists in Python
|Learn how to concatenate multiple lists in Python.
|Index of an element in Python List
|Learn how to get the index number of an element in a Python list.
|Replace items in a Python list
|Learn how to replace items in a Python list using different methods.
|Get the Last element in the Python list
|Learn how to get the last element of a Python list.
|Remove the first element from a list in Python
|Learn how to remove the first element from a Python list.
|Remove the last element from the Python list
|Learn how to remove the last element from a Python list.
|Delete an element from a Python list
|Learn how to delete an element from a Python list using different methods.
|Return multiple values from a Python list
|Learn how to return multiple values from a Python list. i.e., Getting multiple elements at a time of the operation.
|Sum Elements in List in Python using For Loop
|Learn how to find the sum of all the elements in the Python list using a for loop.
|Reverse a List in Python
|Learn how to reverse a Python list. i.e., reversing the order of the elements in the list.
|Get the Last element in the Python list
|Learn how to get the last element of a list in Python.
|Python selects from a list
|Learn how to select some elements from a Python list.
|Count occurrences of a character in a Python list
|Learn how to count the number of occurrences of a character in a Python list.
|Find the sum of the list in Python
|Learn how to find the sum of all elements of a list in Python.
|Compare two lists in Python
|Learn how to compare two lists with different methods in Python.
|Find the size of a Python list
|Learn how to find the size of a Python list, i.e., the total number of elements in a Python list.
|Remove duplicate elements from a List in Python
|Learn how to remove duplicate elements from a Python list using different methods.
|Python Append List to another List without Brackets
|Learn how to add or append a whole list to another Python list without brackets.
|Check if a List is Empty in Python
|Learn how to check if the Python list is empty or not using different methods.
|Split a Sentence into a List of Words in Python
|Learn how to split all the words from a sentence and create a list in Pythion with those words.
|Add Numbers in a List in Python Without Sum
|Learn how to find the sum of all the elements of a Python list using different methods.
Dictionary in Python
The dictionary, often called a “dict”, is one of Python’s fundamental built-in data structures. Dictionaries allow for fast data access. When you know the key, accessing the corresponding value is very fast, regardless of the size of the dictionary. This is because dictionaries are implemented as hash tables.
Dictionaries store data in a key-value format. This allows you to quickly look at a value based on a unique key, which can be immensely useful in a wide range of scenarios, from configuration settings to building a frequency count of items. Keys can be of any immutable type (like strings, numbers, or tuples), and values can be of any type at all, allowing for a high degree of versatility in storing complex data relationships.
Python provides many built-in methods for dictionaries that help in various operations like adding, updating, deleting key-value pairs, and easily navigating through the dictionary.
|Create a dictionary in Python
|Learn how to create a dictionary in Python.
|Python Dictionary Methods
|Learn what are different built-in dictionaries in Python.
|Python Dictionary Append
|Learn how to append or add a new pair of key values to a Python dictionary.
|Python Get First Key in Dictionary
|Learn how to get the first key in Python Dictionary.
|Python dictionary length
|Learn how to find the number of key-value pairs present in Python.
|Python Convert Two Lists Into a Dictionary
|Learn how to convert two lists one as keys and the other as values in a Python dictionary.
|Create a Dictionary from one list in Python
|Learn how to create a Python dictionary using a list.
|Convert Dictionary Values to Lists in Python
|Learn how to convert a dictionary value into lists in Python.
|Create a list of dictionary keys in Python
|Learn how to create a list from dictionary keys in Python.
|Extract all values from a dictionary in Python
|Learn how to get all the values from a dictionary in Python.
|Sort Dictionary by Value & Key in Python
|Learn how to sort a dictionary by key and value in Python.
|Key Index in Python Dictionary
|Learn how to get key index values in the Python dictionary.
|Python Dictionary Count
|Learn how to find the count of dictionary keys in Python using different methods.
|Python Dictionary Search by value
|Learn a few different ways to get the key by value in a Python dictionary.
|Python finds the max value in a dictionary
|Learn how to obtain the maximum value from the dictionary, using the in-built max() function of Python.
|Delete a Dictionary in Python
|Learn different methods in Python that can be used to delete a dictionary.
|Python dictionary multiple values
|Learn how different operations can be done together on multiple values of a Python dictionary.
|Python dictionary comprehension
|Learn what dictionary comprehension is in Python and how we can use different sub-methods in dictionary comprehension to create a dictionary.
|Filter Dictionary Python
|Learn how to filter a dictionary with keys or values in Python.
|Initialize Python dictionary with keys and values
|Learn how to initialize a Python dictionary with some key values pair.
|Remove key from dictionary Python
|Learn how to remove some keys from a Python dictionary.
|Remove empty keys in the dictionary Python
|Learn how to remove empty keys from a Python dictionary.
|Remove a key without an error in the Python dictionary
|Learn how to remove keys from the Python dictionary without any error.
|Copy a Python dictionary without some of its keys
|Learn how to copy a dictionary without some key values pair in Python.
|Copy a dictionary in Python
|Learn how to copy a whole dictionary in Python.
|Copy specific keys in the Python Dictionary
|Learn how to copy a dictionary with some specific keys in Python.
|Remove duplicate values from a Python Dictionary
|Learn how to remove duplicate values from a Python dictionary.
|Iterate through Dictionary with multiple values in Python
|Learn how to iterate over a Python dictionary with multiple values with for loop, while loop, etc.
|Find Duplicate Keys in Dictionary Python
|Learn how to find duplicate keys in a Python dictionary.
Tuple in Python
Tuples in Python are a fundamental data structure, and understanding them is essential for anyone seeking proficiency in the language.
Unlike lists, tuples are immutable. This means you can’t modify the contents once a tuple is created. This immutability can be useful when you want to ensure that certain data does not change throughout the execution of a program. Tuples allow for a neat feature called unpacking. This lets you assign multiple variables at once from the content of a tuple, making certain operations more concise and readable.
We have many different articles related to tuple in Python:
|Create an Empty Tuple in Python
|Learn how to create an empty tuple in Python.
|Concatenate tuples in Python
|Learn how to concatenate two tuples in Python.
|Access items of a tuple in Python
|Learn how to access items from a Python tuple.
|Convert tuple to comma-separated string in Python
|Learn how to convert a tuple with a comma-separated string in Python.
|Convert a tuple to a list in Python
|Learn how to convert a tuple to a list in Python.
|Python program to sort the list of tuples
|Learn how to sort a list of tuples in Python.
|Create a list of tuples in Python
|Learn how to create a list of tuples in Python.
|Convert Python tuple to the dictionary
|Learn how to convert a Python tuple to a dictionary.
|Create a Dictionary Of Tuples
|Learn how to create a Python dictionary of tuples.
Sets in Python
Learning about sets in Python is vital for multiple reasons if you want to become a proficient Python programmer. Just like lists, and dictionaries, sets are one of Python’s core data structures. Understanding sets allows a programmer to select the most appropriate data structure for a particular task.
Sets automatically filter out duplicate elements, making them ideal for operations where you need to ensure that elements are unique. Set operations, such as checking if an item is a member of a set, can be much faster than equivalent operations on lists, especially as the size of the dataset grows. This is because sets are implemented as hash tables.
Sets support powerful and intuitive operations such as union, intersection, and difference. These operations can be very handy in various scenarios, especially in data analysis and algorithm design.
There are many articles on PythonGuides related to the sets in Python.:
|Python creates an empty set
|Learn how to create an empty set in Python.
|Add Elements in a Set in Python
|Learn how to add elements to a set in Python.
|Convert a set to a list in Python
|Learn how to convert a set to a list in Python.
|Convert a list to a set in Python
|Learn how to convert a list to a set in Python.
|Python Dictionary from set
|Learn how to create a dictionary from a Python set.
These were some data types present in Python, that every Python programmer should know.
Python control structure and statements
Control structures and statements are fundamental components of most programming languages, including Python. Understanding them is vital to becoming a proficient programmer.
Control structures dictate the flow of a program’s execution. They determine the order in which statements are executed, which can influence the outcome of the program. Without understanding these structures, one would struggle to predict or manipulate the flow of a program.
Conditional statements, such as if, elif, and else, allow a program to make decisions based on certain conditions. This capability is crucial for designing algorithms that can adapt to different inputs or situations.
Loop structures like for and while enable programmers to repeat a block of code multiple times. This is useful for tasks such as processing elements in a list, iterating over a range of numbers, or continuing an action until a certain condition is met.
Loops in Python
Understanding loops in Python (or any programming language, for that matter) is crucial for several reasons, particularly if you want to become a proficient programmer. Loops are one of the fundamental building blocks in programming. They allow for repeating a block of code multiple times, which can simplify code and reduce redundancy.
In Python, the for loop is especially useful because it can be used to iterate over items in a collection, such as a list, tuple, dictionary, or string. This is commonly referred to as a “for-each” loop in other programming languages.
The while loop allows for more flexible conditions than the for loop. It will continue to loop as long as its condition evaluates to True. This can be advantageous in scenarios where you don’t know beforehand how many iterations are required.
Sometimes, for more complex operations, you may need to use loops inside of loops (nested loops). Understanding the basics of how a single loop functions will be crucial before you delve into more intricate loop structures.
Let’s learn this for loop with some articles:
|Python For loop
|Learn what is a for loop in Python.
|Accessing Python for loop index
|Learn how to access elements from a sequence in Python using a for loop.
|Sum Elements in List in Python using For Loop
|Learn how to find the sum of the elements in a Python list using a for loop.
|Python While Loop
|Learn what while loop is in Python.
|Python While loop with Assignment
|Learn how to assign a variable in Python using a while loop.
|While loop with multiple conditions in Python
|Learn how to apply multiple conditions with a while loop in Python.
|Try except in while loop Python
|Learn how to apply a while loop within the try-except block in Python.
|For loop vs while loop in Python
|Learn the difference between for loop and while loop in Python.
|Take Continuous Input in Python
|Learn how to take continuous input from users using loops in Python.
|Iterate over a list in Python
|Learn how to iterate over every element in a Python list using loops.
|Iterate through Dictionary with multiple values in Python
|Learn how to iterate over multiple key values in a dictionary with values in Python using loops.
Conditional Statements in Python
Conditional statements in Python (or in any programming language, for that matter) are fundamental constructs that allow you to make decisions in your code based on certain conditions. To become a proficient Python programmer, understanding and effectively using conditional statements is crucial.
If the condition in the if statement is True, the code block under if gets executed. But, when you need to test multiple conditions in sequence, you can put one condition in an elif (short for “else if”) that is True, its block gets executed and the entire chain exits. If none of the if or elif conditions are True, the else block gets executed (if present).
Some articles related to the conditional statements in Python:
|Python If Else
|Learn what is if else conditional statements in Python.
|Python list comprehension using if-else
|Learn how to use the if else statement in list comprehension to create a list in Python.
|If not condition in Python
|Learn how if not condition works in Python.
Function and Oops concept in Python
Understanding functions and object-oriented programming concepts in Python is essential. Functions allow you to group a set of related actions into a single, reusable unit. This means you can write the code once and use it in many places. Classes and objects can encapsulate data and functionality together, making it easier to manage and reuse.
To become a proficient Python programmer, it’s crucial to understand and apply these concepts effectively. While writing Python code without using functions or OOP is possible, doing so can lead to repetitive, unorganized, and hard-to-maintain code. By mastering these concepts, you’ll be better equipped to write efficient, organized, and high-quality Python programs.
We have many different articles related to functions and Oops concept in Python:
|Functions in Python
|Learn what is a function in Python.
|Python Return Function
|Learn what is the Return function in Python.
|Raw input function in Python
|Learn how to take input from the user from a function in Python.
|Lambda Functions in Python
|Learn what is lambda function in Python.
|Python Anonymous Function
|Learn different kinds of anonymous functions in Python like filter(), map(), etc.
|Leap year program in Python using function
|Learn how to create a function in Python to find out if the year is a leap year or not.
|Palindrome Program using the function in Python
|Learn how to create a function in Python to check if the string is a palindrome or not.
|Add two numbers in Python using the function
|Learn how to create a function to add two numbers in Python.
|Python Function to Find the max of three numbers
|Learn how to create a function to find the maximum of three numbers in Python.
|Python Function To Check Number is Even or Odd
|Learn how to create a function to check if the number is Even or Odd.
|Return Function Name in Python
|Learn how to create a function to return a function name in Python.
|Python Function to Check Prime Numbers
|Learn how to create a function in Python to check if the number is prime or not.
|Object-oriented programming python
|Learn different object-oriented programming concepts in Python.
|Constructor in Python
|Learn what is a constructor in Python.
|Python access modifiers
|Learn what is a Python access modifier.
|Learn what is Interface class in Python.
File Handling in Python
Most applications need a way to store data persistently, so it can be accessed or modified later. File handling provides a basic mechanism to save data to files and retrieve it later.
Python supports a wide variety of file formats, both text and binary. This includes but is not limited to CSV, JSON, and XML for structured data. A Python programmer can handle these formats easily with the right knowledge of file operations such as opening and closing the file, reading and writing to file, etc.
There are many different articles on PythonGuides related to file handling:
|Rename a file in Python
|Learn how to rename a file in Python.
|Copy the File in Python
|Learn how to copy a file from one directory to another through Python.
|Python File methods
|Learn different methods for file handling in Python.
|Get all files in a directory in Python
|Learn how to get all the files from a directory in Python.
|Get a file name from a path in Python
|Learn how to get a file name from a path in Python.
|Python Count Words in File
|Learn how to count the number of words from a file through Python.
|Write String to a .csv File in Python
|Learn how to write a string to a CSV file through Python.
|How to read a CSV file in Python
|Learn how to read from a CSV file through Python.
|Python Read Excel File and Write to Excel File in Python
|Learn how to write and read from an Excel file through Python.
|Get File Extension from File Name in Python
|Learn how to get the file extension from a file name in Python.
|Python write variable to the file
|Learn how to write a variable to the file through Python.
|Read a file line by line in Python
|Learn how to read a file line by line through Python.
|Python Program to Write List to File
|Learn how to write a list to a file through Python.
|Save the image to a file in Python
|Learn how to save the image to a file through Python.
|File does not exist in Python
|Learn how to check if a file exists in a directory through Python.
|Python shutil copy file
|Learn how to copy a file from the shutil module in Python.
|Python reads a binary file
|Learn how to read a binary file through Python.
Exception Handling in Python
When exceptions are not handled, a minor error can crash your program. By handling exceptions, you ensure your program can cope with unexpected situations gracefully and continue running or terminating safely. Exception handling is a crucial concept in Python. To become a good Python programmer, understanding and effectively using exception handling is important.
A program that crashes without any meaningful message can be frustrating for users. Handling exceptions allows you to provide helpful error messages or alternative actions, leading to a better user experience. When exceptions are raised and caught, they can be logged with relevant information. This aids in the process of debugging, making it easier to understand and fix issues.
Using constructs like try..finally or with ensures Python programs are managed correctly.
PythonGuides articles to accept different errors in Python:
|Catch multiple exceptions in Python
|Learn how to catch multiple errors or exceptions in Python.
|IndexError in Python
|Learn what is IndexError, how it is caused, and also how to handle it in Python.
|Python dictionary KeyError
|Learn what is KeyError in Python, and how it is caused in the Python dictionary.
|KeyError in a nested Python dictionary
|Learn how KeyError is caused in a nested Python dictionary.
|ValueError: math domain error in Python
|Learn how to handle ValueError: math domain error, if caused in Python.
|SyntaxError ‘return’ outside function Python
|Learn how to handle SyntaxError: return outside function error, if caused in Python.
|SyntaxError: invalid syntax in Python
|Learn how to handle SyntaxError: invalid syntax error, if caused in Python.
|IndexError: string index out of range in Python
|Learn how IndexError: string out-of-range error is caused and how to handle it.
|SyntaxError: Unexpected EOF while parsing
|Learn how SyntaxError: unexpected EOF while parsing is caused and how to handle it in Python.
|Command errored out with exit status 1 python
|Learn how Error: command errored out with exit status 1 error is caused and handled in Python.
|NameError: name is not defined in Python
|Learn how NameError: name is not defined in Python error is caused and handled.
Frameworks and Libraries in Python
Knowing frameworks and libraries in Python is crucial for an aspiring Python developer. They offer pre-built tools and patterns that streamline coding processes, preventing the need to start from scratch, and can lead you to be a good Python developer.
Leveraging these resources ensures efficiency, reduces errors, and helps produce standardized, high-quality software. A Python developer familiar with these tools is better equipped to tackle diverse projects and can adapt more readily to the dynamic field of software development.
There are many different kinds of frameworks in Python:
- Web Development Frameworks: Web development frameworks in Python are tools that help developers build web applications more efficiently. They offer pre-written code “building blocks” which save time and prevent repetitive tasks.
|Django is a high-level Python full-stack framework for the rapid development of secure and maintainable websites and applications.
|Tkinter is the standard GUI (Graphical User Interface) toolkit for Python.
- Scientific & Numeric Frameworks: Python offers Scientific and Numeric frameworks to help researchers and engineers perform complex computations and data analysis. They make Python a powerful tool for a wide range of scientific challenges.
|NumPy is a Python library for numerical computations that provides support for large, multi-dimensional arrays and matrices, as well as a variety of mathematical functions to operate on these arrays.
|Scipy is an open-source library in Python that helps in the computation of complex mathematical or scientific problems.
|Scipy is an open-source library in Python that helps compute complex mathematical or scientific problems.
- Machine Learning & Data Science Frameworks: Machine Learning and Data Science in Python revolve around frameworks like toolkits full of handy instruments. Think of them as kitchen sets for data chefs! Libraries such as Pandas help in chopping and prepping the data, while Scikit-learn and TensorFlow are more like ovens to cook and bake advanced models. Using these tools, data enthusiasts whip up tasty insights from raw data.
|TensorFlow is an open-source machine learning framework for Python that enables efficient computation and manipulation of multi-dimensional arrays (tensors) for building and training various types of machine learning models.
|Scikit-Learn is a widely used machine learning library in Python for building and applying various machine learning algorithms and techniques.
|PyTorch is an open-source machine learning framework for Python that provides a flexible and efficient platform for building, training, and deploying neural network models.
- Game Development Frameworks: Game development frameworks in Python are tools that simplify the process of creating video games. Developers use these frameworks instead of starting from scratch to handle common tasks like rendering graphics, managing physics, or handling user input. By leveraging this framework, you, as developers, can focus more on your game’s unique elements and less on reinventing the wheel.
|PyGame is a fun and powerful Python framework for creating video games and multimedia applications with ease.
There are many different libraries in Python too; some of them are listed above, and some are as follows:
|Turtle in Python is a graphics library that allows for drawing and creating visualizations using a virtual turtle that can move around and draw on the screen.
|Matplotlib is a popular Python library for creating static, interactive, and animated visualizations in a wide range of formats.
I hope you know how to become a Python developer, starting from zero to an expert in Python. You can start from the very basic to the advanced level by following all our real-time tutorials with practical examples.
It will definitely help you to be a machine learning expert or an AI expert using Python as a programming language. So, start your journey and learn Python from beginner to advanced level. Feel free to share your thoughts and feedback.
Also, you can check out our Premium training course in Python.
I am Bijay Kumar, a Microsoft MVP in SharePoint. Apart from SharePoint, I started working on Python, Machine learning, and artificial intelligence for the last 5 years. During this time I got expertise in various Python libraries also like Tkinter, Pandas, NumPy, Turtle, Django, Matplotlib, Tensorflow, Scipy, Scikit-Learn, etc… for various clients in the United States, Canada, the United Kingdom, Australia, New Zealand, etc. Check out my profile.