10python dictionary - Programmer All (2023)

The difference between the list and dictionary is that the list can access the value through the index, and the dictionary can access each value through the name.

The data structure of the dictionary is calledMaping (MAPPING)The dictionary is the only internal mapping type in Python. The value is not arranged in order, but the storage and then under the key.
Among them, the key can be numbers, string or meta -group, etc.Unchangedtype of data.

The purpose of the dictionary

The name of the dictionary pointed out the purpose of this data structure. The dictionaries in daily life and dictionaries in Python can easily obtain its defined value through words (keys).

  • Indicates the distribution of the chessboard, and each key is a meta -group composed of coordinates
  • The storage file modification time, the key in which is the file name
  • Digital phone/address book

Find data through the list:

>>> >>> names = ['Alice', 'Beth', 'Cecil', 'Dee-Dee', 'Earl']>>> numbers = ['2341', '9102', '3158', '0142', '5551'] >>> Numbers [names.index ('CECIL')] # To find the CEIL number, it is troublesome to pass the list method'3158'>>>

Create and use dictionary

If you find the phone number above, you can achieve it by creating a dictionary.

>>> phonebook = {'Alice': '2314', 'Beth': '9102', 'Cecil': '3258'}>>> phonebook['Alice']'2314'>>>

Dictionary (Dict)Depend onKey (key)CorrespondinglyValueComposition, this key-value symmetricalItem (item)

In the above example, the key is the name and the value of the mobile phone number.

Between each key and the values, the colon (:) is separated, the comma is separated by the items, and the entire dictionary is placed in the bracket.

Empty dictionary (no item) is represented by two large brackets, similar to it {}

In the dictionary (and other mapping types), the key must be unique, and the value in the dictionary has no requirements.

You can use the function DICT to create a dictionary from other mapping (such as other dictionaries) or key values:

>>> >>> items = [('name', 'Gubmy'), ('age', 42)]>>> d = dict(items) >>> d{'name': 'Gubmy', 'age': 42}>>> d['name']'Gubmy'>>>>>> >>> D = Dict (name = 'Gumby', Age = 42) # Use keywords to create dictionaries>>> d{'name': 'Gumby', 'age': 42}>>>

Basic dictionary operation

The basic behavior of the dictionary is similar to the sequence in many aspects.

  • len(d)Return to the dictionary (key value pair) number
  • d[k]Return andkAssociated value
  • d[k] = vValuevAssociated to the keyk
  • del d[k]Delete key tokItem
  • k in dCheck the dictionarydWhether to include a key positionkItem

There are some differences in dictionary and lists.

  • Type of key: The key in the dictionary can be an integer, and the single is not an integer. The keys in the dictionary can be any unchanged type, such as floating -point numbers (real numbers), string, and tuples.—— The main advantage of the dictionary

  • Automatically add: Even if there is no key in the dictionary, it can be assigned to him, which will create a new item in the dictionary; but if you are not applicable to APPEND or other similar methods, you cannot assign the elements not in the list in the list.

  • Member qualification: Expression k in d(in dIt is a dictionary) Finding is a key, not a value, but an expression v in l(in lIt is a list) Finding is value rather than index. In fact, the keys in the dictionary can be understood as the index in the list, so here is different. Check whether the efficiency contains the key in the checklist is higher than the value in the checklist, which also shows thatThe larger the data structure, the greater the efficiency gap

    >>> >>> x = [] >>> x [42] = 'Foobar' # Because there is no index 42 in the empty list, an error will be reported. [None]*43 must be used when definedTraceback (most recent call last): File "<stdin>", line 1, in <module>IndexError: list assignment index out of range>>>>>> x = {} >>> x [42] = 'Foobar' #>> can be assigned to the key that is not available, which will generate a new item>>> x{42: 'Foobar'}>>>

Create a telephone book database code example

# A simple database # Putting a person's name as a key dictionary, everyone is represented by a dictionary # Dictionary contains key 'phone' and 'addr', which are associated with phone numbers and addresses, respectivelypeople = { 'Alice': { 'phone': '2341', 'addr': 'Foo driver 23' }, 'Beth': { 'phone': '9102', 'addr': 'Bar street 42' }, 'Cecil': { 'phone': '3158', 'addr': 'Baz avenue 90' }} # Telephone number and address descriptive label for printing and outputlabels = { 'phone': 'phone number', 'addr': 'address'}name = input('Name: ') # To find the phone number or addressrequest = input('Phone number (p) or address (a) ? ') # Use the correct keyif request == 'p': key = 'phone'if request == 'a': key = 'addr' # When the name is the key contained in the dictionary, print the informationif name in people: print("{}'s {} is {}.".format(name, labels[key], people[name][key])) # OutputName: BethPhone number (p) or address (a) ? pBeth's phone number is 9102.

Formatal reference dictionary

The most commonly used method for character production formatting isformat

You can also store a series of naming values ​​in the dictionary, which can make the format settings easier. When extraction, you only need to extract the required information in the format string, useformat_mapLet's point out that you will provide the required information through a mapping.

>> >>> phonebook = {'Alice': '2314', 'Beth': '9102', 'Cecil': '3258'}>>> "Cecil's phone number is {Cecil}.".format_map(phonebook)"Cecil's phone number is 3258.">>>>>> >>> # As long as all field names are included in the dictionary key, you can specify the conversion instructions of any amount. as follows: template = '''<html> <head> <title> {title} </title> </head> <body> <h1> {title} </h1> <p> {text} </p> </body></html>'''data = {'title': 'My Home Page', 'text': 'Welcome to my home page!'}print(template.format_map(data))# Output'''<html> <head> <title> My Home Page </title> </head> <body> <h1> My Home Page </h1> <p> Welcome to my home page! </p> </body></html>'''


Like other built -in types, the dictionary also has methods. The dictionary method is very useful. Introduce several commonly used dictionary methods.

  • clear

Methods Clear delete all dictionary items.

>>> >>> d = {}>>> d['name'] = 'Gumby'>>> d['age'] = 42>>> d{'name': 'Gumby', 'age': 42}>>> returned_value = d.clear()>>> d{}>>> print(returned_value) None>>> >>> # Scenario 1: "Clear" X by assigning an empty dictionary to X, but does not affect Y. This method is very useful.>>> x = {}>>> y = x>>> x['key'] = 'value'>>> y{'key': 'value'}>>> x{'key': 'value'}>>> x = {}>>> y{'key': 'value'}>>> x{}>>> >>> # Scenario 2: Clear the clear method to delete the elements in x and y at the same time. This method is very useful>>> x = {}>>> y = x>>> x['key'] = 'value'>>> y{'key': 'value'}>>> x{'key': 'value'}>>> x.clear()>>> y{}>>> x{}>>>
  • copy

Methods Copy returned a new dictionary, which contained the key value as the same as the original dictionary (this method executesShallow reproductionBecause the value itself is the original, not a copy).

Shallow reproductionThe obtained copy, replacing the value in the copy, the original is not affected, but the value in the modified copy will also modify the value in the original, because the original point is also the value of the modified value.

DeepenThis problem can be avoided.

>>> >>> x = {'username': 'admin', 'machines': ['foo', 'bar', 'baz']} >>> y = x.copy () #>>>>> y['username'] = 'mlh'>>> y['machines'].remove('bar')>>> y{'username': 'mlh', 'machines': ['foo', 'baz']}>>> x {'Username': 'admin', 'Machines': ['foo', 'baz']} #>>>>>>>>> >>> from copy import deepcopy>>> d = {}>>> d['name'] = ['Alfred', 'Berthand']>>> c = d.copy() >>> dc = deepcopy (d) # Deep copy>>> d['name'].append('Clive')>>> c {'name': ['Alfred', 'Berthand', 'Clive']} #>>> dc{'name': ['Alfred', 'Berthand']}>>>
  • fromkeys

Method FROMKEYS creates a new dictionary, which contains the specified key, and the corresponding value of each key is None.

# Create another dictionary from the empty dictionaryd = {}df = d.fromkeys(['name', 'age']) print(df) # {'name': None, 'age': None} # Use DICT to create a dictionary directly (DICT is the type of all dictionaries)df = dict.fromkeys(['name', 'key'])print(df) # {'name': None, 'age': None} # 值df1 = dict.fromkeys(['name', 'age'], '(unknown)')print(df1) # {'name': '(unknown)', 'age': '(unknown)'}
  • get

Methods GET provides a loose environment for access dictionary items. Because the items that are usually not in the dictionary will occur errors.

>>> >>> d = {} >>> d ['name'] #>>>>>>Traceback (most recent call last): File "<stdin>", line 1, in <module>KeyError: 'name'>>> >>> Print (d.Get ('name')) #The return to None through the get methodNone>>> >>> D.Get ('name', 'n/a') # specify the default value (if you have value, return, return to the silent value)'N/A'>>>>>> d['name'] = 'Eric'>>> d {'name': 'Eric'} >>> D.Get ('name') # When accessing, it is worth it'Eric'

Optimize the code with the get method:

# A simple database using get () can ensure that even if the input value is wrong, it can be output normally # Putting a person's name as a key dictionary, everyone is represented by a dictionary # Dictionary contains key 'phone' and 'addr', which are associated with phone numbers and addresses, respectivelypeople = { 'Alice': { 'phone': '2341', 'addr': 'Foo driver 23' }, 'Beth': { 'phone': '9102', 'addr': 'Bar street 42' }, 'Cecil': { 'phone': '3158', 'addr': 'Baz avenue 90' }} # Telephone number and address descriptive label for printing and outputlabels = { 'phone': 'phone number', 'addr': 'address'}name = input('Name: ') # To find the phone number or addressrequest = input('Phone number (p) or address (a)? ') # Use the correct key Key = request # If request is neither 'p' nor 'a'if request == 'p': key = 'phone'if request == 'a': key = 'addr' # Use GET to provide the default valueperson = people.get(name, {})label = labels.get(key, key)result = person.get(key, 'not available') # # 才print("{}'s {} is {}.".format(name, label, result))
  • items

Method ITEMS returns a list containing all dictionary items, where each element is displayed in the form (key, value). The sorting is uncertain.

The return value belongs to a nameDictionary viewSpecial types, iterative and checked length. The dictionary view will not copy the original dictionary after generating, even if the original dictionary is modified.

You can use List to convert the dictionary view into a list.

>>> >>> d = {'title': 'Python Web Site', 'url': 'http://www.python.org', 'span': 0}>>> d.items() DICT_ITEMS ([('title', 'python web site'), ('url', 'http://www.python.org'), ('span', 0)] #) The return value belongs to a name. The special type of the dictionary view, iterative, the check length>>>>>> it = d.items()>>> len(it)3>>> ('span', 0) in itTrue>>> >>> D ['span'] = 1 # Modification Dictionary D does not affect the dictionary view IT>>> ('span', 0) in itFalse>>> d['span'] = 0 >>> ('span', 0) in itTrue>>> >>> l = list (d.Items ()) # Use the list method to convert the dictionary view to a list>>> l[('title', 'Python Web Site'), ('url', 'http://www.python.org'), ('span', 0)]>>> 
  • keys

Methods keys return oneDictionary view, Includes the keys in the specified dictionary.

>>> >>> d = {'title': 'Python Web Site', 'url': 'http://www.python.org', 'span': 0}>>> d.keys() dict_keys(['title', 'url', 'span'])>>>
  • values

Method Values ​​returned a dictionary view consisting of a value in the dictionary. Different from the method Keys, the view returned by method Values ​​may contain duplicate values.

>>> >>> d = {}>>> d[1] = 1>>> d[2] = 2 >>> d[3] = 3 >>> d[4] = 1 >>> d{1: 1, 2: 2, 3: 3, 4: 1}>>> d.values()dict_values([1, 2, 3, 1])>>>
  • pop

Method POP can be used to obtain the value associated with the specified key, and delete the key value to the dictionary.

>>> >>> d = {'x': 1, 'y': 2, 'z': 3}>>> d.pop('x')1>>> d{'y': 2, 'z': 3}>>>
  • popitem

Methods Popitem is similar to list.pop, but the last element of list.pop pops up, and Popitem ejects a dictionary item randomly (because the order of the dictionary item is uncertain, all the concepts of "last element '), so the dictionary dictionary There is no method of APPEND in a similar list, which is meaningless.

This method can delete and process all dictionary items one by one, because there is no need to get the dictionary list first.

>>>>>> d = {'title': 'Python Web Site', 'url': 'http://www.python.org', 'span': 0}>>> d.popitem()('span', 0)>>> d{'title': 'Python Web Site', 'url': 'http://www.python.org'}>>>
  • setdefault

Methods Setdefault is a bit like get. Get the value when there is a key, but you can add a key value pair when there is no key

>>> >>> d = {'title': 'Python Web Site', 'url': 'http://www.python.org', 'span': 0}>>> d.setdefault('title')'Python Web Site'>>> d{'title': 'Python Web Site', 'url': 'http://www.python.org', 'span': 0} >>> D.Setdefault ('name', 'n/a') # setdefault specified when the value specified does not exist, return the specified value and update the dictionary;'N/A'>>> d{'title': 'Python Web Site', 'url': 'http://www.python.org', 'span': 0, 'name': 'N/A'}>>> d.setdefault('type', 'Python') 'Python'>>> d{'title': 'Python Web Site', 'url': 'http://www.python.org', 'span': 0, 'name': 'N/A', 'type': 'Python'}>>>
  • update

Method UPDATE uses items in a dictionary to update another dictionary. If it is not added, it will be updated if there is.

>>> >>> d = {'title': 'Python Web Site', 'url': 'http://www.python.org', 'spam': 0} >>> x = {'title': 'Python Language Website'} >>> D.Update (X) # Here to understand, it is to call the UPDATE method to the dictionary D, so it should be used to update the contents of the dictionary D instead of changing the contents of the dictionary X>>> d{'title': 'Python Language Website', 'url': 'http://www.python.org', 'spam': 0}>>>


Where can I get Python answers? ›

The Users category of the discuss.python.org website hosts usage questions and answers from the Python community. The tutor list offers interactive help. If the tutor list isn't your cup of tea, there are many other mailing lists and newsgroups. Stack Overflow has many Python questions and answers.

What is the most common error in Python? ›

One of the most common errors in Python is indentation errors. Unlike many other programming languages, Python uses whitespace to indicate blocks of code, so proper indentation is critical.

How do I clear my Python developer interview? ›

To crack your Python developer interview you need to follow these steps
  1. Review Data Structures and Algorithms if you haven't already. ...
  2. Know how to write code on a whiteboard or paper. ...
  3. Demonstrate your Hobby Projects. ...
  4. Having a basic understanding of front-end technology is important (HTML5, CSS3, JavaScript)

How can I practice Python programming? ›

  1. Make It Stick. Tip #1: Code Everyday. Tip #2: Write It Out. Tip #3: Go Interactive! Tip #4: Take Breaks. ...
  2. Make It Collaborative. Tip #6: Surround Yourself With Others Who Are Learning. Tip #7: Teach. Tip #8: Pair Program. ...
  3. Make Something. Tip #10: Build Something, Anything. Tip #11: Contribute to Open Source.
  4. Go Forth and Learn!

Where can I find coding answers? ›

Reddit has long been one of the best places to visit for a serious programmer who values useful information. It has several communities where people can talk about specific interests and topics like programming languages, computers, the Internet, and so on.

How do I get answers to programming? ›

10 Sites to Solve All Your Programming Related Questions
  1. 10 Programming Habits Developers Should Adopt. These outcomes can bring down our confidence but in fact, they can be solved with proper development practices....
  2. StackOverflow. ...
  3. Quora. ...
  4. Reddit. ...
  5. StackExchange. ...
  6. CodeProject. ...
  7. Google Groups. ...
  8. CodeRanch.
Aug 30, 2021

What is the most difficult error to find in Python? ›

One of the most difficult kinds of errors to find is called a logic error. A logic error does not throw an error and the program will run smoothly, but is an error because the output you get is not the solution you expect. For example, consider the following erroneous implementation of the factorial function.

What is a biggest problem for Python? ›

The problem: Python's slow overall performance, and its limited threading and multiprocessing capabilities, remain major roadblocks to its future development. Python has long valued ease of programming over runtime speed.

What are the 3 main errors in Python? ›

In python there are three types of errors; syntax errors, logic errors and exceptions.

How do you ace a Python interview? ›

How to Stand Out in a Python Coding Interview
  1. Select the Right Built-In Function for the Job. Iterate With enumerate() Instead of range() ...
  2. Leverage Data Structures Effectively. Store Unique Values With Sets. ...
  3. Take Advantage of Python's Standard Library. ...
  4. Conclusion: Coding Interview Superpowers.

How to get a Python developer job without experience? ›

How to Get a Python Job with No Experience
  1. Ensure you know the Python basics: programming, libraries, frameworks, and ORM libraries.
  2. Freelance as a Python Developer to build your portfolio.
  3. Contribute to open source projects on Github.
  4. Start a blog documenting your projects and journey learning Python.

How long does it take to learn Python by yourself? ›

In general, it takes around two to six months to learn the fundamentals of Python. But you can learn enough to write your first short program in a matter of minutes. Developing mastery of Python's vast array of libraries can take months or years.

Can I self teach myself Python? ›

Can You Teach Yourself Python? Yes, it's very possible to learn Python on your own. There are many learning resources available on the web to help you learn Python for everything from web development to artificial intelligence.

How many hours of practice does it take to learn Python? ›

From Awareness to Ability
GoalLearn Python's syntax and fundamental programming and software development concepts
Time RequirementApproximately four months of four hours each day
WorkloadApproximately ten large projects
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Can you look things up in a coding interview? ›

Answer: During the General Coding Assessment (GCA), you are permitted to search for syntax-related questions online. However, the tasks might go more smoothly if you to have these answers fresh in your mind already (you may choose which coding language you would prefer to use).

How do you solve coding questions fast? ›

Let's review them here:
  1. Step 1: understand the problem.
  2. Step 2: create a step-by-step plan for how you'll solve it.
  3. Step 3: carry out the plan and write the actual code.
  4. Step 4: look back and possibly refactor your solution if it could be better.
Feb 4, 2021

How to crack any coding test? ›

  1. Step 1: Practice on paper. ...
  2. Step 2: Collecting the best resource for learning. ...
  3. Step 3: Do Mock Interviews. ...
  4. Step4: Write down your mistakes. ...
  5. Step 5: Work on Software Design Skills. ...
  6. Step 6: Listen to every detail. ...
  7. Step7: Company-specific preparation. ...
  8. Step 8: Speak your thoughts.

How do I start coding if I know nothing? ›

How to Start Coding
  1. Figure out why you want to learn to code.
  2. Choose which coding language you want to learn first.
  3. Take online courses.
  4. Watch video tutorials.
  5. Read books and ebooks.
  6. Use tools that make learning to code easier.
  7. Check out how other people code.
  8. Complete coding projects.
Jun 29, 2022

How can I practice my programming? ›

If you want to practice programming on your own time, use the Internet to find coding exercises and challenges to practice as well as improve your knowledge by working on open source projects or taking online courses. To hone your programming skills in a real-world setting, work on programming projects.

How do you master coding questions? ›

How to make progress while studying for coding interviews
  1. Develop a strong foundation. ...
  2. Get more coding experience. ...
  3. Strategically approach each interview question. ...
  4. Consider different possible solutions. ...
  5. Start with the brute force solution. ...
  6. Plan out the full solution before you code. ...
  7. Keep the big picture in mind.
Mar 9, 2018

What are bugs in Python? ›

There is a term called Bugs, used for referring errors or mistakes in a script. To find and eliminate these bugs we go through a process called debugging.

What are the 3 types of programming errors? ›

When developing programs there are three types of error that can occur:
  • syntax errors.
  • logic errors.
  • runtime errors.

Why does Python have so many errors? ›

The most common reason of an error in a Python program is when a certain statement is not in accordance with the prescribed usage. Such an error is called a syntax error. The Python interpreter immediately reports it, usually along with the reason.

What is a Python weakness? ›

Some of the disadvantages of Python include its slow speed and heavy memory usage. It also lacks support for mobile environments, database access, and multi-threading. However, it is a good choice for rapid prototyping, and is widely used in data science, machine learning, and server-side web development.

What is Python not good for? ›

Not suitable for Mobile and Game Development

Python is mostly used in desktop and web server-side development. It is not considered ideal for mobile app development and game development due to the consumption of more memory and its slow processing speed while compared to other programming languages.

What can beat a Python? ›

Pythons have predators. Small, young pythons may be attacked and eaten by a variety of birds, wild dogs and hyenas, large frogs, large insects and spiders, and even other snakes. But adult pythons are also at risk from birds of prey and even lions and leopards.

What is debugging in Python? ›

A debugger is a program that can help you find out what is going on in a computer program. You can stop the execution at any prescribed line number, print out variables, continue execution, stop again, execute statements one by one, and repeat such actions until you have tracked down abnormal behavior and found bugs.

What is syntax in Python? ›

The syntax of the Python programming language is the set of rules that defines how a Python program will be written and interpreted (by both the runtime system and by human readers).

What is Python developer salary? ›

What is the salary of a Python Developer in India? Average salary for a Python Developer in India is 4 Lakhs per year (₹33.3k per month). Salary estimates are based on 12807 latest salaries received from various Python Developers across industries.

Is Python a high paying skill? ›

The best Python Engineer jobs can pay up to $177,000 per year. As a Python engineer, your job is to use the Python programming language and develop code for your company.

How much money can a Python coder make? ›

Best-paid skills and qualifications for Python Developers

Python Developers with this skill earn +8.31% more than the average base salary, which is $114,314 per year.

Does Amazon accept Python in interview? ›

Yes, you can.

Should I learn Python just for coding interviews? ›

Some languages are just more suited for interviews - higher level languages like Python or Java provide standard library functions and data structures which allow you to translate solution to code more easily. From my experience as an interviewer, most candidates pick Python or Java.

How do I pass a programmer interview? ›

Read on for a few of our best coding interview tips!
  1. Tip #1: Research the Company You're Applying To.
  2. Tip #2: Review Potential Questions.
  3. Tip #3: Go Back to the Basics.
  4. Tip #4: Choose Your Interview Language Wisely.
  5. Tip #5: Protect Yourself Against Performance Anxiety.
  6. Tip #6: Memorize a Quick “Sales Pitch” On Yourself.

Can I learn Python at 45 and get a job? ›

Now coming to the point of “Will you be able to get the job”. For sure yes , if you have the desired skills and knowledge . No one will ever care about the age , there are plenty of jobs available in the field of python . Beside this you can also go for freelancing as an option.

How much do Python programmers make without a degree? ›

Entry Level Python Developer Salary
10th Percentile Entry Level Python Developer Salary$70,800US
25th Percentile Entry Level Python Developer Salary$80,562US
50th Percentile Entry Level Python Developer Salary$91,284US
75th Percentile Entry Level Python Developer Salary$104,497US
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Can I learn Python if I know nothing? ›

Yes. Python is a great language for programming beginners because you don't need prior experience with code to pick it up. Dataquest helps students with no coding experience go on to get jobs as data analysts, data scientists, and data engineers.

Am I too old to learn Python? ›

Whether you are making a career change or just want to learn something new, it is never too late to start coding!

What is the hardest programming language? ›

Malbolge is by far the hardest programming language to learn, which can be seen from the fact that it took no less than two years to finish writing the first Malbolge code. The code readability is ridiculously low because it is designed to be as challenging as possible, providing programmers with a challenge.

What is the average age to learn Python? ›

If you know Python in and out, and can explain it in simple terms, the limit is likely reading and typing. That is around age 6. Once a kid is around 14, if you find a good online system they have a good chance of learning it on their own.

Do companies hire self taught Python developers? ›

Some of the big companies such as Google and IBM have started realizing the potential of self-taught Python developers.

How much Python do I need to know to get a job? ›

Basic python will not be the only thing to learn if you are interested in having a job in python programming. How long does it take to learn python to get a job? 3 months is enough if you want to start with a basic job. A basic job only requires you to know the basics of python.

Can I get a job with Python as a beginner? ›

Yes, getting a job in Python development is a good career move. Python is one of the most popular programming languages in the world. According to Statista, in 2021, Python was the third most popular language in the world, behind JavaScript and HTML/CSS.

Can I get a coding job without a degree? ›

Yes—you don't need a degree to land a high-paying programming job. But if you don't have a degree, then you'll need to build your expertise through self-learning, independent skill-building, online courses, programming podcasts, and bootcamps.

What is the easiest way to learn Python? ›

One of the best places on the internet to learn Python for free is Codecademy. This e-learning platform offers lots of courses in Python, both free and paid. Python 2 is a free course they provide, which is a helpful introduction to basic programming concepts and Python.

How long should I study Python a day? ›

Another option is to devote yourself to Python for five months. This is for those of you who work full time. The plan must be to spend 2-3 hours a day on the computer. Learn one day, practice the same thing the other day.

Where can I ask questions for Python? ›

The official Python Community forums are hosted at discuss.python.org. If you're looking for additional forums or forums in your native language, please check out the local user groups page at the Python Wiki.

Where can I get data for practice Python? ›

Where to Find Datasets and Sample Data Projects
  • LearnPython.com is a learning platform with many interactive Python courses, including Python Basics: Practice, which offers 15 coding exercises to practice basic programming skills. ...
  • Kaggle is arguably the largest data science community.
Mar 22, 2022

What is Python best answer? ›

What is Python? Python is a high-level, interpreted, interactive, and object-oriented scripting language.

Is there a Python certification test? ›

PCAP™ – Certified Associate in Python Programming certification (Exam PCAP-31-0x) is a professional, high-stakes credential that measures the candidate's ability to perform intermediate-level coding tasks in the Python language, including the ability to design, develop, debug, execute, and refactor multi-module Python ...

What is the hardest question in Python? ›

Advanced Python interview questions
  • How do I access a module written in Python from C? ...
  • How do you reverse a list in Python? ...
  • What does break and continue do in Python? ...
  • Can break and continue be used together? ...
  • What will be the output of the code below? ...
  • Explain generators vs iterators.

Does Python cost money? ›

Python is an open-source programming language, which means it's completely free to use: you can download Python and its frameworks and libraries at no charge.

What should I study for Python exam? ›

To pass the PCAP exam, you'll need to understand the Python language Standard Library, PIP, object-oriented programming (OOP), modules and packages, exception handling, and advanced usage of strings, lambda functions, generators, list comprehensions, and file handling.

Can I practice Python in Mobile? ›

Best Coding Apps For Android
  1. DataCamp. DataCamp is one of the best coding apps when it comes to learning the fundamentals of Python, R, SQL, Data Science, Machine Learning, and Visualization. ...
  2. SoloLearn. ...
  3. Mimo. ...
  4. Programming Hub- One of the best coding apps. ...
  5. Encode. ...
  6. ScratchJr. ...
  7. Grasshopper- One of the best coding apps.
Nov 3, 2022

How much should I practice Python? ›

If you have a full-time job or you are a student, you can finish it in 5 months. After coming back from your work/school, spend 2–3 hours to learn python. Your goal will be to learn one day and practice the next day.

What are the basic skills required to learn Python? ›

Let have a look at the top 10 skills required to become a Python Developer:
  • Expertise In Core Python.
  • Good grasp of Web Frameworks.
  • Object Relational Mappers.
  • Road to Data Science.
  • Machine Learning and AI.
  • Deep Learning.
  • Understanding of Multi-Process Architecture.
  • Analytical skills.
Dec 13, 2022

What is Python really good for? ›

Python is commonly used for developing websites and software, task automation, data analysis, and data visualization. Since it's relatively easy to learn, Python has been adopted by many non-programmers such as accountants and scientists, for a variety of everyday tasks, like organizing finances.

Why Python is best for beginners? ›

Python is a programming language that has relatively simple syntax. This makes it an ideal choice for beginners who are just starting out in the field of programming. Python is also a very versatile language, which means that you can use i for a wide variety of tasks and in different industries.

What language is Python written in? ›

The complete script of Python is written in the C Programming Language. When we write a Python program, the program is executed by the Python interpreter. This interpreter is written in the C language.


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