Latest published stories in python - DeveloperSitesLatest published stories in python - DeveloperSites2024-03-29T01:11:43Zhttps://www.developersites.com/Category/PythonCopyright (c) DeveloperSitesDeveloperSites Atom GeneratorDeveloperSites webmastermatthewpomar@developersites.comhttps://www.developersites.com/Assets/Images/favicon.icohttps://www.developersites.com/Assets/Images/logo2.png12025https://www.developersites.com/Creating-a-Binance-Clone-Script-A-Comprehensive-WalkthroughCreating a Binance Clone Script: A Comprehensive Walkthrough2023-10-18T01:26:06Z<div><div><div style="float:right"><img alt ="" src="https://api.browshot.com/api/v1/simple?key=eNKbJKLoy1t3xAPvI6Aoee6wJQ2nMGOS&url=https://www.beleaftechnologies.com/binance-clone-script-development&size=screen&instance_id=12&cache=2592000"/></div><div>Introduction:
Binance, one of the leading names in this realm, has set a standard for secure,user-friendly, and feature-rich cryptocurrency exchange platforms. But for entrepreneurs and businesses looking to venture into this space, the development of a Binance-like platform might seem daunting. This is where Beleaf Technologies, a pioneering force in blockchain and cryptocurrency solutions, can play a crucial role. In this article, we'll explore the key steps in creating a Binance clone script,and how Beleaf Technologies can be a valuable partner in this endeavor.
Market Research:
Before you embark on the journey of creating a Binance clone script, it's crucial to
conduct thorough market research. Understand the evolving cryptocurrency
landscape, identify your target audience, and assess your potential competitors.
Determine your unique selling proposition, which sets your exchange apart.
Legal Compliance:
Navigating the regulatory landscape is a top priority in the cryptocurrency space.
Consult legal experts to ensure that your exchange complies with the relevant laws
and regulations. Acquire the necessary licenses and approvals to operate legally in
your target regions.
Technical Stack:
Selecting the right technology stack is fundamental to the success of your
exchange. Choose the appropriate programming languages, frameworks, and
databases that will support your platform's performance and scalability.
Platform Design:
A user-friendly interface is vital for attracting and retaining users. Collaborate with
design experts to create wireframes and prototypes that offer an optimal user
experience.
Backend Development:
The core functionality of your exchange is built in the backend. Implement features
such as order matching and execution systems. Integrate with external
cryptocurrency APIs to provide real-time market data.
Security Measures:
Security is paramount in the cryptocurrency world. Implement robust security
features, including DDoS protection, cold storage for user funds, and encryption.
Regular security audits and penetration testing are essential to protect your
platform and user assets.
User Registration and Verification:
Develop a Know Your Customer (KYC) system for user verification. Enhance user
account security with two-factor authentication (2FA) to safeguard against
unauthorized access.
Deposit and Withdrawal Processing:
Implement a user-friendly system for depositing and withdrawing funds. Consider
adding approval processes for cryptocurrency withdrawals to enhance security.
Order Book and Trading Engine:
A real-time order book and efficient trading engine are key components of your
exchange. Implement these features to facilitate order matching and execution.
Liquidity Management:
Establish liquidity partnerships with other exchanges and consider using market
makers to ensure a liquid trading environment. A well-liquid exchange attracts
more traders.
Conclusion:
In the dynamic world of cryptocurrency exchanges, the development of a platform
akin to Binance clone script is a multifaceted undertaking. It requires expertise,
dedication, and a commitment to compliance and security. Beleaf Technologies,
with its extensive knowledge of blockchain technology and cryptocurrency
solutions, can be your trusted partner in this journey.
Reach us :-
Whatsapp: +91 80567 86622
Skype: live:.cid.62ff8496d3390349
Telegram: https://t.me/BeleafTech
Mail to:business@beleaftechnologies.com</div></div><div style="padding-top:4px"><a rev="vote-for" href="https://www.developersites.com/Creating-a-Binance-Clone-Script-A-Comprehensive-Walkthrough"><img alt="Like" src="https://www.developersites.com/image.axd?url=https%3a%2f%2fwww.beleaftechnologies.com%2fbinance-clone-script-development" style="border:0px"/></a></div></div>lenayahttps://www.developersites.com/Users/XZt-bBHINEuhGfgFvMbG9A2023-10-22T03:05:53Zhttps://www.developersites.com/Creating-a-Binance-Clone-Script-A-Comprehensive-Walkthrough100https://www.developersites.com/Unleashing-the-Power-of-Sets-in-Python-ProgrammingUnleashing the Power of Sets in Python Programming2023-03-13T06:04:57Z<div><div><div style="float:right"><img alt ="" src="https://api.browshot.com/api/v1/simple?key=eNKbJKLoy1t3xAPvI6Aoee6wJQ2nMGOS&url=https://www.programiz.com/python-programming/set&size=screen&instance_id=12&cache=2592000"/></div><div>The blog titled "Sets in Python" published on Programiz.com is a beginner-friendly guide to understand sets in Python programming language.
The blog begins by introducing the concept of sets and how they are different from other data structures in Python, such as lists and tuples. A set is an unordered collection of unique elements, which means that every element in a set is distinct, and there is no concept of indexing in sets. In Python, sets are represented by enclosing a comma-separated list of elements in curly braces { }.
The blog then discusses the various operations that can be performed on sets, such as union, intersection, difference, symmetric difference, and subset. Union is used to combine two sets into a single set that contains all the unique elements from both sets. Intersection is used to find the common elements between two sets. Difference is used to find the elements that are in one set but not in the other. Symmetric difference is used to find the elements that are in either of the sets but not in both. Finally, subset is used to check whether one set is a subset of the other.
Next, the blog provides examples of how to create and manipulate sets in Python. It shows how to create a set, add and remove elements from a set, and perform various set operations using built-in methods such as union(), intersection(), difference(), symmetric_difference(), and issubset(). The blog also provides examples of how to iterate over a set using for loops and comprehensions.
The blog then discusses the use of sets in solving real-world problems. It provides an example of how sets can be used to remove duplicates from a list of elements. It shows how to convert a list to a set and then back to a list to remove duplicates. The blog also provides an example of how sets can be used to find the common elements between two lists.
Finally, the blog concludes by discussing the limitations of sets. One limitation is that sets cannot contain mutable elements such as lists and dictionaries because their values can change. Another limitation is that sets are not indexed, which means that they cannot be accessed using an index.
In summary, the blog provides a comprehensive introduction to sets in Python programming language. It explains the concept of sets, their operations, and how to create and manipulate sets using built-in methods. It also provides examples of how sets can be used to solve real-world problems. However, it also highlights the limitations of sets and the situations where they may not be suitable for use.</div></div><div style="padding-top:4px"><a rev="vote-for" href="https://www.developersites.com/Unleashing-the-Power-of-Sets-in-Python-Programming"><img alt="Like" src="https://www.developersites.com/image.axd?url=https%3a%2f%2fwww.programiz.com%2fpython-programming%2fset" style="border:0px"/></a></div></div>Dhruvhttps://www.developersites.com/Users/zszkSvPih0u-yZG0AJcXaQ2023-03-22T06:29:24Zhttps://www.developersites.com/Unleashing-the-Power-of-Sets-in-Python-Programming100https://www.developersites.com/Mastering-Input-in-Python-A-Comprehensive-GuideMastering Input in Python: A Comprehensive Guide2023-02-27T05:55:36Z<div><div><div style="float:right"><img alt ="" src="https://api.browshot.com/api/v1/simple?key=eNKbJKLoy1t3xAPvI6Aoee6wJQ2nMGOS&url=https://www.geeksforgeeks.org/taking-input-in-python/&size=screen&instance_id=12&cache=2592000"/></div><div>The blog titled "Taking Input in Python" published on GeeksforGeeks explains the various methods of taking input in Python. Python provides several built-in functions to read input from the user or from a file.
The first method explained in the blog is using the input() function. The input() function reads a line of text entered by the user and returns it as a string. The input() function takes an optional string argument that is displayed as a prompt to the user before the input is taken. The input() function can be used to take input of any data type, but the input is always returned as a string. Therefore, it is necessary to convert the input into the desired data type before using it in the program.
The next method explained in the blog is using the sys.stdin.readline() function. The sys module provides access to some variables used or maintained by the interpreter and to functions that interact strongly with the interpreter. The sys.stdin.readline() function reads a line of text from the standard input stream (stdin) and returns it as a string. Unlike the input() function, the readline() function does not strip the newline character at the end of the line. Therefore, it is necessary to strip the newline character using the strip() function before using the input in the program.
The blog also explains the use of the rawinput() function in Python 2.x. The rawinput() function is similar to the input() function in Python 3.x. However, the raw_input() function always returns the input as a string. Therefore, it is necessary to convert the input into the desired data type before using it in the program.
The blog also covers the use of the command-line arguments to take input. The sys.argv variable is a list in Python that contains the command-line arguments passed to the script. The first argument, sys.argv[0], is the name of the script itself. The other arguments can be accessed using sys.argv[1], sys.argv[2], and so on. The command-line arguments are always passed as strings, so it is necessary to convert them into the desired data type before using them in the program.
Finally, the blog covers the use of the file input/output functions to read input from a file. The open() function is used to open a file in Python. The read() function can be used to read the entire contents of a file into a string. The readline() function can be used to read a single line from a file. The readlines() function can be used to read all the lines from a file into a list.
In conclusion, the blog "Taking Input in Python" provides a comprehensive guide on the various methods of taking input in Python. The input() function, sys.stdin.readline() function, raw_input() function (Python 2.x), command-line arguments, and file input/output functions are all explained in detail. The blog also provides examples of how to use these functions to take input in Python.</div></div><div style="padding-top:4px"><a rev="vote-for" href="https://www.developersites.com/Mastering-Input-in-Python-A-Comprehensive-Guide"><img alt="Like" src="https://www.developersites.com/image.axd?url=https%3a%2f%2fwww.geeksforgeeks.org%2ftaking-input-in-python%2f" style="border:0px"/></a></div></div>Dhruvhttps://www.developersites.com/Users/zszkSvPih0u-yZG0AJcXaQ2023-03-07T12:53:20Zhttps://www.developersites.com/Mastering-Input-in-Python-A-Comprehensive-Guide101https://www.developersites.com/Data-Science-Certification-CourseData Science Certification Course2023-02-28T07:31:55Z<div><div><div style="float:right"><img alt ="" src="https://api.browshot.com/api/v1/simple?key=eNKbJKLoy1t3xAPvI6Aoee6wJQ2nMGOS&url=https://www.learnbay.co/data-science-certification-courses&size=screen&instance_id=12&cache=2592000"/></div><div>At the present-day industry level, Learnbay is a pioneer in data science training. Learnbay has accomplished a significant milestone by working with IBM to offer the best data science certification course in India. Students who complete the course are awarded numerous IBM certifications. Recruiters will be more interested in your profile and eventually help you land a profitable data science position if you have IBM certifications on your resume.</div></div><div style="padding-top:4px"><a rev="vote-for" href="https://www.developersites.com/Data-Science-Certification-Course"><img alt="Like" src="https://www.developersites.com/image.axd?url=https%3a%2f%2fwww.learnbay.co%2fdata-science-certification-courses" style="border:0px"/></a></div></div>datasciencehttps://www.developersites.com/Users/L-KpKz7i206PIetwf5Xhow2023-03-07T12:53:20Zhttps://www.developersites.com/Data-Science-Certification-Course100https://www.developersites.com/Mastering-the-Basics-A-Beginners-Guide-to-Sets-in-PythonMastering the Basics: A Beginner's Guide to Sets in Python2023-02-27T05:58:51Z<div><div><div style="float:right"><img alt ="" src="https://api.browshot.com/api/v1/simple?key=eNKbJKLoy1t3xAPvI6Aoee6wJQ2nMGOS&url=https://www.freecodecamp.org/news/how-to-create-a-set-in-python/&size=screen&instance_id=12&cache=2592000"/></div><div>The article "How to create a Set in Python" published on FreeCodeCamp's website, provides an introduction to sets in Python programming language. The article aims to explain what sets are, why they are useful, and how to create and manipulate them in Python.
Firstly, the article defines sets as an unordered collection of unique elements, meaning that a set can only contain distinct elements, and the order in which they are added to the set does not matter. The article then goes on to explain that sets are useful in various scenarios, including finding unique elements in a list, performing set operations such as union, intersection, and difference, and removing duplicates from a list.
Next, the article delves into the creation of sets in Python. The author explains that sets can be created using curly braces ({}) or the set() function. The former method is useful when creating a set with predefined elements, while the latter method is useful when creating a set from an existing list or any other iterable object.
The article also demonstrates how to add elements to a set using the add() method and how to remove elements using the remove() and discard() methods. Additionally, the article explains how to use the in keyword to check if an element is present in a set.
Furthermore, the article introduces the concept of set operations in Python, which includes union, intersection, and difference. The author explains that the union of two sets is a set that contains all the elements from both sets, while the intersection of two sets is a set that contains only the elements that are common to both sets. Finally, the difference of two sets is a set that contains only the elements that are present in the first set but not in the second set.
The article also provides examples of how to perform set operations in Python using the union(), intersection(), and difference() methods.
Towards the end, the article explains how to use set comprehensions to create a new set based on an existing set or any other iterable object. Set comprehension is a concise way to create a new set without writing a loop to iterate over each element.
In conclusion, "How to create a Set in Python" provides a clear and concise introduction to sets in Python. The article covers the basics of creating, adding, removing, and manipulating sets in Python. The article is beginner-friendly and provides helpful examples to illustrate the concepts discussed. By the end of the article, readers should have a good understanding of how to use sets in their Python programs.</div></div><div style="padding-top:4px"><a rev="vote-for" href="https://www.developersites.com/Mastering-the-Basics-A-Beginners-Guide-to-Sets-in-Python"><img alt="Like" src="https://www.developersites.com/image.axd?url=https%3a%2f%2fwww.freecodecamp.org%2fnews%2fhow-to-create-a-set-in-python%2f" style="border:0px"/></a></div></div>Dhruvhttps://www.developersites.com/Users/zszkSvPih0u-yZG0AJcXaQ2023-03-07T12:53:20Zhttps://www.developersites.com/Mastering-the-Basics-A-Beginners-Guide-to-Sets-in-Python100https://www.developersites.com/Mastering-Python-Dictionaries-Your-Complete-Guide-to-Key-Value-Pair-Data-StructuresMastering Python Dictionaries: Your Complete Guide to Key-Value Pair Data Structures2023-02-27T05:52:48Z<div><div><div style="float:right"><img alt ="" src="https://api.browshot.com/api/v1/simple?key=eNKbJKLoy1t3xAPvI6Aoee6wJQ2nMGOS&url=https://www.programiz.com/python-programming/dictionary&size=screen&instance_id=12&cache=2592000"/></div><div>The article titled "Python Dictionary" on Programiz.com is a beginner-friendly introduction to dictionaries in Python. Dictionaries are an essential data structure in Python, which allows you to store data in key-value pairs.
The article starts by introducing dictionaries and their syntax in Python. A dictionary is created by enclosing a comma-separated list of key-value pairs in curly braces ({}) or by using the built-in dict() function. The keys in a dictionary must be unique and immutable, while the values can be of any data type.
Next, the article explains how to access dictionary items using their keys. You can use the square bracket notation ([]) or the get() method to retrieve the value associated with a key. If the key is not present in the dictionary, the get() method will return None instead of raising a KeyError.
The article also covers how to add, update, and delete items in a dictionary. To add a new item, you simply assign a value to a new key using the square bracket notation. To update an existing item, you use the same syntax but with an existing key. Finally, to delete an item, you can use the del statement or the pop() method, which also returns the value of the deleted item.
The article then discusses several useful dictionary methods. The keys() method returns a list of all the keys in a dictionary, while the values() method returns a list of all the values. The items() method returns a list of tuples, each containing a key-value pair. The update() method allows you to merge two dictionaries, while the clear() method removes all items from a dictionary.
The article also covers some advanced dictionary topics, such as nested dictionaries and dictionary comprehensions. A nested dictionary is a dictionary that contains other dictionaries as values. You can access the values in a nested dictionary using multiple keys. A dictionary comprehension is a concise way of creating a dictionary from an iterable.
Finally, the article includes several examples to illustrate the concepts discussed. These examples cover how to create, access, modify, and delete items in a dictionary, as well as how to use dictionary methods.
In conclusion, the "Python Dictionary" article on Programiz.com provides a thorough introduction to dictionaries in Python. The article covers the basics of dictionaries, including their syntax, how to access items, and how to add, update, and delete items. It also explains several useful dictionary methods and covers advanced topics such as nested dictionaries and dictionary comprehensions. Overall, this article is an excellent resource for anyone learning Python and looking to understand dictionaries.</div></div><div style="padding-top:4px"><a rev="vote-for" href="https://www.developersites.com/Mastering-Python-Dictionaries-Your-Complete-Guide-to-Key-Value-Pair-Data-Structures"><img alt="Like" src="https://www.developersites.com/image.axd?url=https%3a%2f%2fwww.programiz.com%2fpython-programming%2fdictionary" style="border:0px"/></a></div></div>Dhruvhttps://www.developersites.com/Users/zszkSvPih0u-yZG0AJcXaQ2023-03-07T12:53:20Zhttps://www.developersites.com/Mastering-Python-Dictionaries-Your-Complete-Guide-to-Key-Value-Pair-Data-Structures100https://www.developersites.com/Join-the-Strings-A-Guide-to-Concatenation-in-PythonJoin the Strings: A Guide to Concatenation in Python2023-02-01T02:02:32Z<div><div><div style="float:right"><img alt ="" src="https://api.browshot.com/api/v1/simple?key=eNKbJKLoy1t3xAPvI6Aoee6wJQ2nMGOS&url=https://www.simplilearn.com/tutorials/python-tutorial/string-concatenation-in-python&size=screen&instance_id=12&cache=2592000"/></div><div>The blog post on string concatenation in Python provides an overview of how to join or combine strings in Python. The blog begins by explaining what string concatenation is and why it is useful in Python programming. It then goes on to describe the different ways to concatenate strings in Python, including the use of the plus (+) operator, the join() method, and string interpolation.
The blog provides examples of how to use each of these methods in practical scenarios, such as concatenating strings to form a sentence, concatenating a list of strings into a single string, and concatenating strings with variables. It also explains the differences between each method and when it is appropriate to use each one.
Next, the blog explains the use of string interpolation, which allows developers to embed expressions inside string literals. This feature is especially useful for creating strings that contain dynamic data, such as the results of calculations or the contents of variables. The blog provides examples of how to use string interpolation in practical scenarios, such as generating error messages and printing formatted strings.
Finally, the blog concludes by summarizing the key points covered in the article and reiterating the importance of understanding how to concatenate strings in Python. Overall, this blog provides a comprehensive overview of string concatenation in Python and is a valuable resource for anyone looking to improve their understanding of this important aspect of the language.
In conclusion, understanding how to concatenate strings in Python is a critical aspect of developing applications with the language. By understanding the different methods available to join strings, including the use of the plus (+) operator, the join() method, and string interpolation, developers can write more flexible and efficient code that is better equipped to handle text data.</div></div><div style="padding-top:4px"><a rev="vote-for" href="https://www.developersites.com/Join-the-Strings-A-Guide-to-Concatenation-in-Python"><img alt="Like" src="https://www.developersites.com/image.axd?url=https%3a%2f%2fwww.simplilearn.com%2ftutorials%2fpython-tutorial%2fstring-concatenation-in-python" style="border:0px"/></a></div></div>Dhruvhttps://www.developersites.com/Users/zszkSvPih0u-yZG0AJcXaQ2023-02-04T01:28:43Zhttps://www.developersites.com/Join-the-Strings-A-Guide-to-Concatenation-in-Python100https://www.developersites.com/Time-to-Format-A-Guide-to-Date-and-Time-in-PythonTime to Format: A Guide to Date and Time in Python2023-02-01T02:06:11Z<div><div><div style="float:right"><img alt ="" src="https://api.browshot.com/api/v1/simple?key=eNKbJKLoy1t3xAPvI6Aoee6wJQ2nMGOS&url=https://stackabuse.com/how-to-format-dates-in-python/&size=screen&instance_id=12&cache=2592000"/></div><div>The blog post on formatting dates in Python provides an overview of how to manipulate and display date and time data in Python. The blog begins by explaining what date formatting is and why it is important in Python programming. It then goes on to describe the different ways to format dates in Python, including the use of the strftime() method and the strptime() method.
The blog provides examples of how to use each of these methods in practical scenarios, such as formatting dates for display in a user interface, formatting dates for storage in a database, and converting between date formats. It also explains the differences between each method and when it is appropriate to use each one.
Next, the blog explains the use of the datetime module in Python, which provides a number of functions and classes for working with dates and times. The blog provides examples of how to use the datetime module to perform operations such as finding the current date and time, calculating the difference between two dates, and converting between time zones.
Finally, the blog concludes by summarizing the key points covered in the article and reiterating the importance of understanding how to format dates in Python. Overall, this blog provides a comprehensive overview of formatting dates in Python and is a valuable resource for anyone looking to improve their understanding of this important aspect of the language.
In conclusion, understanding how to format dates in Python is a critical aspect of developing applications that deal with time-sensitive data. By understanding the different methods available to format dates, including the use of the strftime() method, the strptime() method, and the datetime module, developers can write more accurate and efficient code that is better equipped to handle date and time data.</div></div><div style="padding-top:4px"><a rev="vote-for" href="https://www.developersites.com/Time-to-Format-A-Guide-to-Date-and-Time-in-Python"><img alt="Like" src="https://www.developersites.com/image.axd?url=https%3a%2f%2fstackabuse.com%2fhow-to-format-dates-in-python%2f" style="border:0px"/></a></div></div>Dhruvhttps://www.developersites.com/Users/zszkSvPih0u-yZG0AJcXaQ2023-02-04T01:28:43Zhttps://www.developersites.com/Time-to-Format-A-Guide-to-Date-and-Time-in-Python100https://www.developersites.com/Mastering-Python-Lambda-Functions-The-Anonymous-Powerful-Tool-for-Concise-CodeMastering Python Lambda Functions: The Anonymous, Powerful Tool for Concise Code2023-01-21T02:32:15Z<div><div><div style="float:right"><img alt ="" src="https://api.browshot.com/api/v1/simple?key=eNKbJKLoy1t3xAPvI6Aoee6wJQ2nMGOS&url=https://www.freecodecamp.org/news/python-lambda-function-explained/&size=screen&instance_id=12&cache=2592000"/></div><div>The blog post "Python Lambda Function Explained" explains what lambda functions are in Python and how to use them. A lambda function is a small, anonymous function that can be used in place of a regular function. They are often used in situations where a function is only needed once, or as a shorthand for a small piece of code.
The post begins by explaining the basic syntax of a lambda function, which is the keyword "lambda", followed by one or more arguments, a colon, and the function body. The post also points out that the lambda function can only contain a single expression and doesn't have a return statement, the value of the expression is returned automatically.
The post then goes on to explain how lambda functions can be used in different situations, such as in the filter() function to filter elements in a list, in the map() function to apply a function to each element of a list, and in the reduce() function to combine elements of a list. The post also covers the use of lambda functions as arguments in other functions such as the sorted() function.
The post also covers the use of lambda function as a key for sorting, where a lambda function is passed as an argument to the sorted() function and it's used to extract a value from the item to be sorted and return the value which will be used as the sorting key.
The post concludes by mentioning some of the benefits of using lambda functions in Python, such as increased code readability and conciseness, and the ability to easily create small, single-use functions. It also notes that lambda functions can be a powerful tool for creating concise and readable code, but they can also make the code more complex and harder to understand if not used carefully.
Overall, the post provides a comprehensive introduction to the use of lambda functions in Python, covering the basics of lambda function syntax, and how they can be used in different situations such as filtering, mapping, and reducing. It also highlights the benefits and potential pitfalls of using lambda functions in Python programming.</div></div><div style="padding-top:4px"><a rev="vote-for" href="https://www.developersites.com/Mastering-Python-Lambda-Functions-The-Anonymous-Powerful-Tool-for-Concise-Code"><img alt="Like" src="https://www.developersites.com/image.axd?url=https%3a%2f%2fwww.freecodecamp.org%2fnews%2fpython-lambda-function-explained%2f" style="border:0px"/></a></div></div>Dhruvhttps://www.developersites.com/Users/zszkSvPih0u-yZG0AJcXaQ2023-01-30T12:40:24Zhttps://www.developersites.com/Mastering-Python-Lambda-Functions-The-Anonymous-Powerful-Tool-for-Concise-Code100https://www.developersites.com/Building-Dynamic-Websites-with-Ease-Mastering-Python-Web-DevelopmentBuilding Dynamic Websites with Ease: Mastering Python Web Development2023-01-15T06:01:05Z<div><div><div style="float:right"><img alt ="" src="https://api.browshot.com/api/v1/simple?key=eNKbJKLoy1t3xAPvI6Aoee6wJQ2nMGOS&url=https://www.freelancer.in/articles/web-development/how-to-build-a-website-with-python&size=screen&instance_id=12&cache=2592000"/></div><div>The blog post titled "How to Build a Website with Python" is a guide for developers who want to learn how to use Python to build websites. The post begins by introducing the basic concept of using Python for web development and the different web frameworks available for building websites with Python.
The post then goes on to explain the steps needed to build a website using Python, including setting up a development environment, choosing a web framework, and configuring a database. It provides detailed instructions on how to use popular Python web frameworks such as Django and Flask to build a website. The post also includes code examples and screenshots to help developers understand the process.
The post also covers some best practices for building a website using Python, such as using version control, testing the website, and optimizing the website's performance.
The post concludes by reminding readers that while building a website with Python can be a great way to add dynamic functionality to a website, it's important to use best practices and keep in mind that the website should be optimized for performance and security.
Overall, the blog post is a comprehensive guide that provides clear and easy-to-follow instructions for building a website using Python. It also provides examples and best practices to help developers understand the process and how to implement it in their own projects. It is a useful resource for any developer looking to build a website using Python and its web frameworks.</div></div><div style="padding-top:4px"><a rev="vote-for" href="https://www.developersites.com/Building-Dynamic-Websites-with-Ease-Mastering-Python-Web-Development"><img alt="Like" src="https://www.developersites.com/image.axd?url=https%3a%2f%2fwww.freelancer.in%2farticles%2fweb-development%2fhow-to-build-a-website-with-python" style="border:0px"/></a></div></div>Dhruvhttps://www.developersites.com/Users/zszkSvPih0u-yZG0AJcXaQ2023-01-23T03:15:23Zhttps://www.developersites.com/Building-Dynamic-Websites-with-Ease-Mastering-Python-Web-Development100https://www.developersites.com/Flutter-Basic-Training-12-Minute-Bootcamp-YouTubeFlutter Basic Training - 12 Minute Bootcamp - YouTube2021-12-28T10:58:58Z<div><div><div style="float:right"><img alt ="" src="https://api.browshot.com/api/v1/simple?key=eNKbJKLoy1t3xAPvI6Aoee6wJQ2nMGOS&url=https://www.youtube.com/embed/1xipg02Wu8s&size=screen&instance_id=12&cache=2592000"/></div><div>In this video presentation, Fireship teaches you how to start programming in flutter in 12 minutes to give you all basic overview of flutter application. This introductory level video make you to be able to start to build your own cross platform mobile appl.
After visiting this story, if you enjoyed it, please show the author some love by coming back and clicking Like button and leaving a comment.</div></div><div style="padding-top:4px"><a rev="vote-for" href="https://www.developersites.com/Flutter-Basic-Training-12-Minute-Bootcamp-YouTube"><img alt="Like" src="https://www.developersites.com/image.axd?url=https%3a%2f%2fwww.youtube.com%2fwatch%3fv%3d1xipg02Wu8s" style="border:0px"/></a></div></div>amindhudihttps://www.developersites.com/Users/5atsjJVaYkG8l2jJ25JlnA2021-12-29T08:14:08Zhttps://www.developersites.com/Flutter-Basic-Training-12-Minute-Bootcamp-YouTube200https://www.developersites.com/How-To-Prevent-SQL-Injection-Attacks-With-PythonHow To Prevent SQL Injection Attacks With Python2021-12-10T01:15:20Z<div><div><div style="float:right"><img alt ="" src="https://api.browshot.com/api/v1/simple?key=eNKbJKLoy1t3xAPvI6Aoee6wJQ2nMGOS&url=https://realpython.com/prevent-python-sql-injection/#understanding-python-sql-injection&size=screen&instance_id=12&cache=2592000"/></div><div>SQL injection attacks are one of the most common web application security threat and one of the easiest to prevent. Web application attackers will surely test your web application for this security vulnerability so you must take steps to ensure that this security hole is plugged, and plugged fast!
SQL injection attacks are made possible by allowing non-escaped single or double quote strings to be included in your database's SQL call. This can be done very easily by an attacker by including a partial SQL statement in a form field on your application, such as your login screen, where if the included text is constructed just right, could be used to change the return results of the back-end query that is called during that operation. In our login form example, one could easily see how that might result in the ability of an attacker logging into your web application without knowing a password. This is just one of many examples and risks of not handling this SQL injection exploit.
In this step-by-step tutorial, you'll learn how you can prevent SQL injection via Python. You'll learn how to compose SQL queries with parameters, as well as how to safely execute those queries in your database to keep your application and data secure.</div></div><div style="padding-top:4px"><a rev="vote-for" href="https://www.developersites.com/How-To-Prevent-SQL-Injection-Attacks-With-Python"><img alt="Like" src="https://www.developersites.com/image.axd?url=https%3a%2f%2frealpython.com%2fprevent-python-sql-injection%2f%23understanding-python-sql-injection" style="border:0px"/></a></div></div>matthewpomarhttps://www.developersites.com/Users/nuEwSCbil0OD3tsnOHx2eg2021-12-19T04:44:10Zhttps://www.developersites.com/How-To-Prevent-SQL-Injection-Attacks-With-Python171