Python Developer Skills (With Examples And How To Improve) Written by Indeed Editorial Team Updated 4 March 2025Python is a high-level, object-oriented programming language that is flexible, easy to learn and w
12 Key Skills You Need to Succeed as a Python Dev If your goal is becoming a good/better Python developer, then it's vital for you to have or master the following skills. So, let’s elaborate on the 12 key skills the big companies will check before hiring a Python developer in 2020...
skipkeys=False, # 默认值是False,若dict的keys内的数据不是python的基本类型(str,unicode,int,long,float,bool,None),设置为False时,就会报TypeError的错误。此时设置成True,则会跳过这类key ensure_ascii=True, # 默认是ASCII码,若设置成False,则可以输出中文 check_circular=True, # 若为False,跳过对容器类型...
loads(developerJsonString) print("Printing key and value") print(developerDict["name"]) print(developerDict["salary"]) print(developerDict["skills"]) print(developerDict["email"]) print(developerDict["projects"]) print("Done converting `JSON` string document to a dictionary") 结果 代码语言...
Key skills: Proficiency in Python, R, and SQL Deep understanding of machine learning algorithms Knowledge of deep learning frameworks (e.g., TensorFlow,) Essential tools: Machine learning libraries (e.g., Scikit-learn, TensorFlow, PyTorch) ...
What to look for in a Python developer With your project scope in hand, it’s time to define the specific qualities and skills that will best fit the needs of your project and organization. Here are some key factors to consider:
How Can You Assess a Python Developer’s Ability to Write Efficient and Optimized Code? In addition to the core skills cited above, experienced Python developers have a solid understanding of algorithms and data structures, which enables them to write code that is optimized in terms of speed and...
importsysdefbar(i):ifi ==1:raiseKeyError(1)ifi ==2:raiseValueError(2)defgood(): exception =Nonetry: bar(int(sys.argv[1]))exceptKeyErrorase: exception = eprint('key error')exceptValueErrorase: exception = eprint('value error')print(exception) good() ...
d) Python开发人员(https://skillsstreet.com/python-developer-skills/)正在通过优化工具、第三方JIT编译器、以及外部库来进一步提高Python的速度。 3.在数据科学中的应用 a) 如前所述,Python可被用于各种目的,数据分析只是其中的一项关键性应用。 b) 由于Python包括了能够轻松、快速地进行数据分析和处理的应用程序...
The following example uses os.environ["myAppSetting"] to get the application setting, with the key named myAppSetting: Python Copy import logging import os import azure.functions as func app = func.FunctionApp() @app.function_name(name="HttpTrigger1") @app.route(route="req") def main(...